# Yottaa > Yottaa is an eCommerce web performance platform that helps mid-market to enterprise online retailers (typically $50M–$1B GMV) improve site speed, stability, and conversions. The platform combines real user monitoring, third-party application optimization, AI-driven anomaly detection, and edge acceleration — all delivered as a managed cloud service. Yottaa is trusted by over 1,500 of the top eCommerce sites. Yottaa's core product is the **Web Performance Cloud (WPC)**, a SaaS platform with two primary functions: **Optimize** (control how and when third-party scripts load) and **Monitor** (real user monitoring, Core Web Vitals diagnostics, anomaly detection, and community benchmarking). Yottaa also offers **Web Performance Services (WPS)**, a fully managed infrastructure service built on Fastly CDN and HUMAN bot protection, orchestrated with Yottaa's patented technology. Key differentiators: - Patented Application Sequencing technology (US9282145B2) that optimizes third-party script loading beyond what tag managers can do - Patented Context Intelligence (US9674258) that adapts optimization rules based on visitor device, browser, network, and geolocation - ML-driven Anomaly AI that detects performance issues using SARIMA models over a rolling two-week baseline - Community Benchmarking across 18 eCommerce categories drawn from 1,500+ optimized sites - Revenue-correlated Conversion Insights that quantify the ROI of performance improvements - MCP server for AI-powered performance diagnostics in developer workflows Target personas: eCommerce leaders, front-end developers, performance engineers, digital marketing managers, and infrastructure/IT teams at DTC/B2C retailers. ## Products & Services - [Web Performance Cloud](https://www.yottaa.com/web-performance-cloud/): Yottaa's core SaaS platform combining optimization and monitoring capabilities for eCommerce sites - [Web Performance Services](https://www.yottaa.com/web-performance-services/): Fully managed CDN, security, and optimization infrastructure built on Fastly and HUMAN, delivered as a service - [SpeedSense Performance Consulting](https://www.yottaa.com/speedsense-performance-consulting/): Expert consulting for performance strategy and optimization ## Capabilities — Optimize - [Application Sequencing](https://www.yottaa.com/application-sequencing/): Patented technology to control when and how third-party scripts load — sequencing, prioritization, chaining, lazy loading, and blocking — across tag-managed and source-deployed tags - [Context Intelligence](https://www.yottaa.com/context-intelligence/): Adapts optimization rules and site experience based on visitor context (device, browser, network, geolocation, custom properties) - [Cache Experience](https://www.yottaa.com/cache-experience/): Browser-level predictive prefetch and caching using service workers to speed up page transitions and cart readiness ## Capabilities — Monitor - [Hybrid Real User Monitoring (RUM)](https://www.yottaa.com/real-user-monitoring/): Combines client-side performance with edge network intelligence to capture the 15-30% of traffic traditional RUM misses — unifying browser, edge, and origin data with bot classification and cross-layer attribution - [Core Web Vitals Diagnostics](https://www.yottaa.com/core-web-vitals-diagnostics/): LCP, INP, and CLS monitoring with element-level root cause diagnostics, percentile analysis, and trend tracking - [Anomaly AI](https://www.yottaa.com/anomaly-ai/): ML-driven detection of unusual performance events using SARIMA time series models, threshold tests, and baseline change analysis with Slack/email alerting - [Community Benchmarking](https://www.yottaa.com/community-benchmarking/): Compare your site's performance against aggregated data from 1,500+ eCommerce sites across 18 industry and platform categories - [Audit Third-Party Tags](https://www.yottaa.com/audit-third-party-tags/): Automatic detection and cataloguing of all third-party resources with performance impact analysis and Performance Index Rating (PIR) - [Third-Party Violations and JavaScript Errors](https://www.yottaa.com/third-party-violations-and-javascript-errors/): Identifies third-party services causing page delay violations, size violations, load failures, and JavaScript errors - [Conversion Insights](https://www.yottaa.com/conversion-insights/): Measures correlation between site speed optimizations and business KPIs like conversion rate and revenue ## Solutions by Team - [eCommerce Teams](https://www.yottaa.com/ecommerce-teams/): Turn more traffic into revenue through faster site performance - [Marketing Teams](https://www.yottaa.com/marketing-teams/): Maximize ROI from every campaign by eliminating performance bottlenecks - [Development Teams](https://www.yottaa.com/development-teams/): Automate performance fixes and free up engineering resources - [Infrastructure Teams](https://www.yottaa.com/infrastructure-teams/): Reduce performance management complexity with a unified platform ## Use Cases - [Offload Performance](https://www.yottaa.com/offload-performance/): Simplify CDN, security, and optimization into a single managed service - [Prepare for Peak](https://www.yottaa.com/prepare-for-peak/): Ensure reliability during high-traffic events like Cyber 5 and flash sales - [Monitor Performance](https://www.yottaa.com/monitor-performance/): Gain full visibility into site health with real-time and historical analytics ## Datasheets - [Application Sequencing Datasheet](https://www.yottaa.com/resources/application-sequencing/): Rule types, sequencing options, chaining, split tests, profile rules, and JavaScript injection capabilities - [Hybrid Real User Monitoring (RUM) Datasheet](https://www.yottaa.com/real-user-monitoring/): Hybrid RUM combining browser, edge, and origin data — captures 15-30% of traffic traditional RUM misses, with bot classification, cross-layer attribution, SPA support, and data lakehouse architecture - [Anomaly AI Datasheet](https://www.yottaa.com/resources/anomaly-ai/): Three detection types (SARIMA, threshold, baseline), YoBot Slack integration, real-world examples, and all 30+ monitored metrics - [Context Intelligence Datasheet](https://www.yottaa.com/resources/context-intelligence/): User profiling, segmentation, split testing, and context-based optimization rules - [Community Benchmarking Datasheet](https://www.yottaa.com/resources/community-benchmarking/): 18 community categories, Performance Index Rating, third-party knowledge base, and scheduled reporting - [Audit Third-Party Tags Datasheet](https://www.yottaa.com/resources/audit-third-party-tags/): Tag visibility, waterfall views, PIR formula, diagnostics, and the 1,000+ application knowledge base - [Cache Experience Datasheet](https://www.yottaa.com/resources/cache-experience/): Browser-level service worker architecture, smart prefetch, journey caching, and cart readiness - [Third-Party Violations and JS Errors Datasheet](https://www.yottaa.com/resources/third-party-service-level-violations/): Five violation types with configurable thresholds, diagnostics, and anomaly alerting - [Core Web Vitals Diagnostics Datasheet](https://www.yottaa.com/resources/google-core-web-vitals-diagnostics/): LCP/INP/CLS monitoring, lab vs. field data, element-level root cause analysis, and W3C metrics - [MCP Server Datasheet](https://www.yottaa.com/resources/real-user-web-performance-data-via-mcp/): AI-powered third-party impact analysis and performance diagnostics via structured JSON for developer workflows - [Conversion Insights Datasheet](https://www.yottaa.com/resources/conversion-insights-datasheet/): Measuring site speed optimization impact on conversion rate and revenue ROI - [Continuous Impact Datasheet](https://www.yottaa.com/resources/continuous-impact-datasheet/): Always-on A/B comparison of optimized vs. unoptimized site performance - [Web Performance Services Datasheet](https://www.yottaa.com/resources/web-performance-services-datasheet/): Managed CDN and security infrastructure built on Fastly and HUMAN ## Solution Sheets - [Achieve Core Web Vitals Success](https://www.yottaa.com/resources/speedsense-performance-consulting-solution-sheet/): How Yottaa diagnoses, tracks, and optimizes LCP, CLS, and INP to meet Google's "Good" ratings — up to 30% faster page loads and 10% higher conversions - [Achieve ROI Amid Tech Bloat](https://www.yottaa.com/resources/yottaa-overview-site-should-drive-conversions/): Third-party apps account for 44% of load time and reduce conversions by 0.29% per tool — Yottaa streamlines tech stacks via PIR benchmarking and Application Sequencing - [Benchmark Site Performance](https://www.yottaa.com/resources/maximize-roas-with-high-performance-ecommerce-sites/): Community Benchmarking against 1,500+ eCommerce sites across 18 categories — pages loading in 2-3 seconds see 2x higher conversions - [Boost Conversions](https://www.yottaa.com/resources/boost-performance-maximize-roi-shopify-stores/): Every 1-second improvement boosts mobile conversions by 3% — comprehensive monitor and optimize capabilities for the full shopper journey - [DIY vs. Yottaa](https://www.yottaa.com/ecommerce-resources/): Side-by-side comparison showing why automated performance management outperforms in-house approaches across 12 criteria - [Eliminate JavaScript Errors](https://www.yottaa.com/ecommerce-resources/): Proactive JS error detection and third-party violation monitoring — case studies show 40% faster page loads and 5-7% conversion increases - [Maximizing ROAS](https://www.yottaa.com/resources/maximize-roas-with-high-performance-ecommerce-sites/): How site performance impacts ad efficiency, CPC, and conversion rates — Context Intelligence tailors optimization for paid campaign traffic - [Quantify ROI](https://www.yottaa.com/ecommerce-resources/): Proving the ROI of site speed via Conversion Insights split testing — customer results include 5-10% conversion lifts and 27-40% speed improvements - [Reduce Cart Abandonment](https://www.yottaa.com/ecommerce-resources/): Addressing the 70% global cart abandonment rate through Cache Experience, Application Sequencing, and proactive anomaly detection - [Shopify and Yottaa](https://www.yottaa.com/resources/boost-performance-maximize-roi-shopify-stores/): Optimizing Shopify stores with 8,000+ apps — 300 stores optimized, 24% avg speed improvement, up to 10% conversion increase, 41% mobile load time reduction - [Hybrid Real User Monitoring](https://www.yottaa.com/real-user-monitoring/): End-to-end performance visibility unifying browser, edge, and origin data — hybrid telemetry model, delivery path diagnostics, MCP-enabled AI access - [Web Performance Cloud](https://www.yottaa.com/web-performance-cloud/): The unified platform closing the loop between visibility, action, and impact — powered by Hybrid RUM with Conversion Zone insights and AI-ready data foundation - [Track Every Shopper with RUM](https://www.yottaa.com/resources/track-every-shopper-session-real-user-monitoring-rum/): Unsampled real user monitoring across all browsers including Safari (38% of sessions) — 13 months of historical data retention - [Yottaa and Core Web Vitals](https://www.yottaa.com/ecommerce-resources/): Comprehensive guide to CWV compliance with real-time diagnostics and automated optimization ## Optional - [Customer Stories](https://www.yottaa.com/customer-stories/): Case studies from Yottaa customers - [Blog](https://www.yottaa.com/blog/): Yottaa's blog covering eCommerce performance topics - [Yottaa Web Performance Index](https://rapid.yottaa.com/web-performance-index/): Public benchmarking tool for eCommerce site performance - [Plans and Pricing](https://www.yottaa.com/plans-and-pricing-overview/): Yottaa pricing overview - [Company](https://www.yottaa.com/company/): About Yottaa — founded in Waltham, MA --- # Full Datasheet Content The following sections contain the complete text of all Yottaa product datasheets, provided for comprehensive AI reference. --- # Application Sequencing | Field | Value | |-------|-------| | **Title** | Application Sequencing | | **Type** | Datasheet | | **Source URL** | https://www.yottaa.com/resources/application-sequencing/ | | **Date** | 2026-04-22 | --- Accelerate the time to meaningful shopper interaction with all third-party features of your online store loading in the most efficient way. Application Sequencing provides a single ruleset to manage all the third parties, whether they are loaded via a tag manager or website source. Based on observed performance of over 1,000 third-party tags across over 1,500 sites, fine-tune controls are available to schedule and prioritize when and how third parties load. This minimizes common performance impacts from third-party tags slowing down the intended customer experience with features beyond what tag managers or common DIY patterns can provide. ## Rule Types Rule Types can be applied to both third-party tags and any other custom resource your site leverages. ### Sequence Resource Rule Source Script Sequencing (source injection) includes the ability to support different resource types including HTML source script, XHR, images, JS scripts, etc. as resource objects. - **After First Interaction** -- Sets the resource to load after the shopper clicks, scrolls, types, or moves the mouse and can include a set number of milliseconds delay after the interaction. This can be combined with the Onload event such that the tag is loaded after the first interaction after onload. - **After Onload** -- Sets the resource to load a specified number of milliseconds after the onload browser event. - **Lazy Load** -- Sets the resource to load when an element of the site has been rendered. For example, you can delay product reviews until the shopper scrolls to the reviews section. - **After UI Event** -- Sets the resource to load when a customer interacts with a specific element of your site. - **After Pubsub Event** -- Sets the resource to load based on a prompt from the Rapid Publish or Subscribe APIs. This allows for an external event to drive when a third-party tag loads. - **Chaining** -- Loads the resource in a manner where dependencies among different resources are not impacted. Ensures that elements are executed sequentially, preserving the order of the script loads and guaranteeing that non-essential first-party scripts do not interfere with page load times. - **Load Normally** -- Sets the resource to load normally. The Internet has very inconsistent performance and every third party loaded is an opportunity for stalling or blocking a site visitor from browsing and purchasing your products. Yottaa optimizes third parties on the critical load path beyond what tag managers or simple lazy loading approaches can do, accelerating your shopping experience. ### Dynamic Sequencing Rule - **Priority** -- Critical, High, Medium, Low. Tags can be assigned to a priority group to accommodate desired order for key vendor solutions such as analytics beacons or personalization tags that need browser data to inform their response. - **Spread** -- The spread rule loads each third party with a configurable millisecond lag consistently even if a specific third-party tag's response is slow or not responding. ### Catch-all Sequence Resource rules and the Spread rule in Dynamic Sequencing rule can be a catch-all rule for remaining tags. This will automatically catch new tags added to site without a specific rule for each third party. ### Block Resource Rule Third-party or custom resources can be blocked regardless of whether source has the request embedded or not (a fast way to turn something off without an update to your website storefront). ## Split Tests Split tests are a useful feature for website optimization. A split test can be applied to test individual performance rules, security rules, or third parties. Split tests allow assigning a percentage of traffic to any specific rule in order to test its impact compared to other settings. Data gathered from split tests can be fed into customers' Adobe/Google/analytics platform. Examples include: - Load app A before onload and defer app A until after onload. This helps determine sequencing. - Assign x% of traffic to app A and y% of traffic to app B, to determine which application may be better to install based on their performance impact. ## Chaining Example: Sequential Loading of Scripts with Dependencies In a typical eCommerce environment, multiple JavaScript libraries are used to handle key functionalities. To ensure proper site performance, these libraries must load in a specific sequence: 1. **Load Lodash.js** -- This utility library provides powerful functions to manipulate product data. It must load first, as other scripts depend on its data manipulation capabilities. 2. **Load Axios.js** -- Frequently used to make API calls, essential for pulling real-time product data, inventory levels, and pricing. It should load second. 3. **Load Custom Scripts** -- These eCommerce-specific scripts might rely on Lodash for data manipulation and Axios for fetching product information. They should load last. ## JavaScript Injection Ability to immediately add new features to your site without a release via a specified JavaScript. Can be used to track custom performance or business metrics, and to fire tags appropriately based on the metric. ## Profile Rules User profiles can be created and defined based on the context of the site visitor. They can be created to apply different configurations to different segments of customers for a better, more tailored visit experience. This includes changing the sequencing or enabling/disabling features and applications based on customer context. ### Context Segment Options for Profile Creation Context segment options for "Apply To" include: - **Language** - **Page Title** - **Color Depth** - **Browser Resolution** - **Screen Resolution** - **Connection Type** - **Round Trip Type** - **Page URL** -- Full URL, Pathname, Hostname, Extension, Protocol, URL Parameters - **Geo** -- Country Name, Country Code, Region/State, Region/State Code, Metro, City, Zipcode, Longitude, Latitude, Continent - **Client Property** ## Patent US9282145B2 -- Systems and methods for managing loading priority or sequencing of fragments of a web object --- **Source:** [Yottaa Application Sequencing Resource Page](https://www.yottaa.com/resources/application-sequencing/) --- --- title: "Hybrid Real User Monitoring (RUM)" type: Datasheet source_url: https://www.yottaa.com/real-user-monitoring/ date: January 2026 --- # Hybrid Real User Monitoring (RUM) Eliminate Blind Spots. Capture Complete Traffic. Optimize with Confidence. Hybrid RUM combines client-side performance with edge network intelligence to capture the 15-30% of traffic traditional RUM misses — distinguishing human shoppers from AI consumer assistants and malicious bots, so developers optimize experiences that drive business value. These capabilities are built upon comprehensive performance monitoring and business intelligence features designed for composable web applications and e-commerce environments. ## What Hybrid Means - **Comprehensive traffic coverage** — Captures significantly more website traffic than traditional RUM, including bots, crawlers, and failed sessions with edge-validated accuracy. - **Real user and AI Bot monitoring** — Distinguishes human shoppers from AI agents and malicious bots, focusing optimization on experiences that drive business value. - **Stack-wide attribution** — Correlates front-end, CDN edge, and origin metrics to pinpoint performance bottlenecks. - **Cross-Layer Correlation & Proactive Alerts** — Developers can rapidly pinpoint performance challenges across the stack — front-end, vendor scripts, CDN edge, or origin infrastructure — through new correlations between RUM, edge processing, and origin latency, powered by server-timing and resource timing APIs. ## Core Differentiators ### Request Visibility & Coverage - **Traditional RUM Coverage Gap:** Ad blockers, privacy tools, and script failures create 15-30% visibility gaps in standard RUM implementations. - **Hybrid RUM Solution:** Correlates data from browser, edge, and origin to show where latency occurs — capturing cache status, CDN processing time, and origin response to provide complete performance visibility. - **Bot Identification & Classification:** Applies a consistent Actor Filter — segmenting humans, known bots and AI agents acting on their behalf, suspected bots, and recognized spiders and crawlers — using authoritative lists, UA parsing, and third-party bot management signals with confidence scoring. - **Competitive Intelligence:** Anonymous performance benchmarking against industry verticals and competitor performance patterns without compromising user privacy. ### Enhanced Accuracy & Performance Attribution - **Client-Side Validation Challenges:** Browser-only RUM suffers from timing manipulation, incomplete resource loading data, and inconsistent cross-device measurement accuracy. - **Edge-Validated Metrics:** Network-level measurement provides ground-truth performance data, validating and enriching client-side metrics with authoritative HTTP Requests including server-timing and resource-timing correlation. - **Business-Focused Insights:** Diagnostic highlights which pages and resources most impact conversion and outcomes, arming both developers and business leaders to justify performance investments. - **Third-Party Script Impact:** Near real-time monitoring of third-party vendor resources (analytics, ads, chat widgets) with performance impact scoring and anomaly detection. ## Key Features Real User Monitoring (RUM) captures page- and session-level experience — load times, errors, and Core Web Vitals. Edge collection augments browser data with cache status, CDN processing time, and origin response, enabling cross-layer attribution. Optional bot detection separates Agentic AI from human sessions. Diagnostic views surface JavaScript errors, slow resources, and third-party impact. Metrics segment by location, browser, device, network, and page type to compare cohorts and prioritize optimization. ### Complete Web Performance Monitoring - **Core Web Vitals & Business Metrics:** Delivers comprehensive Google Core Web Vitals tracking with element-level attribution for optimization insights along with business impact correlation and revenue attribution analytics. - **Resource Performance Tracking:** Granular monitoring of images, fonts, CSS, JavaScript, and third-party dependencies with cascade timing analysis and critical resource identification. - **Traffic segmentation:** Filters by location, browser, device, and network conditions (connection type, speed) to compare performance across segments. - **Error Tracking & Diagnostics:** JavaScript error capture with stack traces, performance correlation, and impact assessment on user experience metrics. ### E-commerce & Conversion Analytics - **Conversion Insights Tracking:** Tracks purchase activity and conversion funnel behavior automatically through native integrations with Shopify and other commerce platforms — no manual instrumentation or tagging required. - **Adobe Client Data Layer Integration:** Enriches Real User Monitoring with dimensions from the Adobe Client Data Layer, aligning page performance with business context from Adobe Analytics implementations. - **Google Analytics 4 & Tag Manager Integration:** Extracts ecommerce events from GA4 and GTM implementations for unified reporting with RUM performance metrics, enabling correlation of user experience and revenue through standardized commerce data integration. - **Conversion Zone Analysis:** Quantifies how page performance affects conversion rates by isolating performance thresholds and identifying where slowdowns directly impact customer checkout behavior. ### Cross-layer Correlation (Browser, CDN, Origin) - **CDN & Origin Timing Correlation:** Correlates CDN edge processing and origin server response times to instantly reveal whether slow performance originates at the edge or the origin infrastructure. - **Cache Efficiency Insights:** Measures cache hit, miss, and offload rates across regions to expose caching inefficiencies and guide configuration changes that improve delivery speed and reliability. - **End-to-End Latency Attribution:** Combines server-timing and resource-timing data to attribute total page latency to specific layers — frontend, CDN, or backend — for precise optimization decisions. ### Single Page Application (SPA) Support - **SPA Performance Data Collection:** Collects detailed performance metrics for every SPA transition, including timing, resource usage, and load simulation, to isolate slowdowns and improve Core Web Vitals across dynamic sessions. - **Core Web Vitals Collection:** Measures Core Web Vitals such as LCP, INP, and CLS for every SPA view to detect regressions and ensure consistent real-user performance quality. - **Manual SPA Transition Tracking:** Tracks every SPA page transition, categorizes views by page and state, and identifies what triggered rendering completion to speed troubleshooting and improve insight into user journeys. ### Third-Party Performance Analysis - **Vendor Resource Monitoring:** Monitors third-party JavaScript resources to track their performance impact on web pages, capturing load times, file sizes, network transfer data, and timing within the page load lifecycle. The system identifies performance violations when scripts load slowly or impact critical page rendering phases, and tracks JavaScript errors. - **5-Category Web Page Impact Classification:** - **Performance Risk Violations:** Resources exceeding 1.5 seconds load time after onLoad - **Page Delay Violations:** Resources taking more than 750ms to load before onLoad - **Size Violations:** Resources larger than 1MB or configured threshold - **Load Failure Violations:** Resources that fail to load completely - **Security Violations:** Resources loading over http instead of https - **Performance Impact Rating (PIR):** Calculates standardized performance impact scores for each third-party application by analyzing violation patterns across customer sites. - **Third-Party Knowledge Base:** Indexed catalog of third-party applications deployed across Yottaa customer sites with performance characteristics and cross-customer benchmarking with platform and industry segmentation. ## Advanced Analytics & Intelligence Trend data is aggregated into hourly through monthly rollups and filterable by device, browser, or page category. Percentile distributions (50th–95th) enable precise threshold setting. Element-level attribution identifies specific DOM components contributing to slowdowns, enabling targeted optimization. ### Data Architecture & Access - **Data Lakehouse Architecture:** Streams RUM data through Kafka into Databricks for volume, advanced analytics, custom reporting, and model training. - **Data Hub:** Centralizes performance data with REST APIs and AI-ready access through the MCP server for diagnostics, anomaly detection, and enterprise AI integrations. ### Performance Intelligence & Diagnostics - **Statistical Baselines:** Establishes mathematically derived performance norms across configurable time windows to detect regressions with consistent sensitivity. - **Anomaly Detection:** Uses machine learning to surface deviations and forecast degradation trends before they affect users or conversions. - **Root Cause Analysis:** Correlates performance changes with traffic shifts or third-party activity to isolate contributing factors. ## Technical Specifications ### Data Collection & Integration - **Implementation:** A single tag collects client-side metrics — with feature detection, browser-specific polyfills, and performance fallbacks for cross-browser compatibility — while Fastly real-time log streaming supplies authoritative HTTP request data (including blocked or script-failed sessions). Designed to onboard other CDNs via the same log-ingestion pattern. - **Real-time Processing:** Incoming edge logs are normalized and joined with browser signals in near real time, adding cache state, CDN processing time, and origin timing to each navigation. - **Cross-session correlation:** Browser identifiers are matched to edge request flows to reconstruct full journeys and attribute latency to the correct layer. - **Privacy, Compliance & Security:** RUM data gathered by Yottaa does not include Personally Identifiable Information (PII), and complies with privacy standards (ISO 27001:2022, GDPR, CCPA). - **Data Retention:** Configurable retention periods with detailed metrics storage and aggregated long-term trend analysis. ### API & Developer Tools - **RESTful API:** Complete programmatic access to performance data, custom metrics, and business intelligence with rate-limited endpoints and authentication. - **Browser Console:** Interface via 'Yo.utils.console' provides real-time RUM analytics including Core Web Vitals, navigation timing, and visitor metrics for performance debugging. - **Documentation:** Complete list of supported metrics, API documentation and integration guides available at docs.yottaa.com. ### Scalability & Efficiency Deployed on Fastly's global edge network, Yottaa manages enterprise brands and retailers with increased traffic during peak events like Cyber 5. Supports sites with millions of weekly page views across 700+ sites, with retained trend data highlighting performance changes during high-traffic periods. - **Reduced client-side overhead:** Offload analytics processing from the browser, improving page performance and reducing battery consumption on mobile devices. - **Adaptive beacon delivery:** Dynamically assemble RUM library at the edge based on site type (SPA vs. MPA), device capabilities, connection quality, and customer SLA tiers. A Hybrid RUM system unifies client-perceived performance with edge-observed network truth. It reduces blind spots, increases determinism, provides resilience against blocked signals, and enables deeper attribution across the entire stack. This gives e-commerce and digital experience teams a truer, more complete picture of how every single request impacts customer experience and revenue — not just the subset of requests that successfully execute a JavaScript beacon. --- Source: https://www.yottaa.com/real-user-monitoring/ --- # Anomaly AI | Field | Value | |-------|-------| | **Title** | Anomaly AI | | **Type** | Datasheet | | **Source URL** | https://www.yottaa.com/resources/anomaly-ai/ | | **Date** | 2026-04-22 | --- ## Anomaly Detection Anomalies are unusual events in your site's data. Using machine learning, Yottaa tracks your site over a two-week period and identifies any spikes or plunges in the site data and provides instant alerting. This allows you to identify anomalies with your digital experience before they affect customers and your online sales. Anomalies are not necessarily bad. For example, a spike in traffic might trigger an anomaly. However, the root cause could be something positive like a successful marketing campaign. Or it could be something negative like a malicious bot. All anomalies are tracked and made available via an online dashboard, email, Slack channel, or other endpoint. ## Detection Types Anomaly AI incorporates three types of anomaly detection: - **Time Series** -- SARIMA (Seasonal ARIMA) model for detecting anomalies on periodic data such as Pageviews over specific periods. - **Threshold Tests** -- If data doesn't follow periodic form, a threshold determines if data is above or below a value. - **Baseline Changes** -- If the baseline has changed for the site, an anomaly is detected. ## Priority and Baseline A Medium or High priority is assigned to each anomaly based on a high-low calculation using multiple algorithms depending on baseline length. A breakout detector determines when data is above or below the baseline. ### Two-Week Baseline Graph Displays the anomaly metric for the two weeks leading up to the anomaly, showing medium-priority and high-priority thresholds. ### Contributing Factors Graphs Show potential root causes. Top graph shows other metrics in the same category. Bottom graph shows page views. Each displays minute-by-minute values for a four-hour period leading up to the anomaly. ## Triggering Requests Shows JavaScript Errors including user agent, console error message, page URL, and device to help recreate issues for troubleshooting. ## Alerts Include line graphs displaying the anomaly compared to the two-week baseline plus contributing factors. Available via dashboard, email, and Slack via YoBot. ### Security Anomaly Alerts When using Service Blocker and/or edge acceleration, additional security anomaly alerts are configured: - **Flagged violations** occur in report-only mode - **Blocked violations** occur in enforce mode ## YoBot Uses Slack to alert about anomalies. Can generate reports on site metrics. Displays Alerts, Performance Reports, Recent Anomalies, and Recent Trends. Also sends alerts for new trends or consistent data changes. Provides access to performance reports for onload time, first byte, last byte, and page views for past 24h, past 30 days, and past hour. ## Real-world Examples - Over a weekend, a customer forgot to renew their ratings and reviews license, causing errors. Yottaa detected the problem and temporarily removed the service. - On Black Friday, Yottaa detected increased page load violations across multiple customers caused by an analytics provider's beacon causing 5-second timeouts. Anomaly AI identified the problem and deployed a sequencing rule to make it non-blocking. ## Web Metrics with Anomaly AI ### Browser Performance Metrics | Metric | |--------| | first_byte_time | | first_input_delay | | first_input_start_time | | hero_image_display | | last_byte_time | | on_load_time | | largest_contentful_paint | | cumulative_layout_shift | | interaction_next_paint | | time_to_interactive | | size_violations | | page_delay_violations | | performance_risk_violations | ### Third Party, JavaScript, and CSP Metrics | Metric | |--------| | resource_count | | javascript_errors | | load_failure_violations | | blocking_violations | | security_violations | | csp_enforce_count | | csp_report_count | ### Traffic and Edge Security Metrics | Metric | |--------| | event_count | | ta_event_count | | rate_2xx through rate_5xx | | waf_firewalled | | waf_security | | waf_threat | | os_first_byte_time | | os_load_time | ### Monitored Metric Types - Pageviews - JavaScript errors - Resource count (rare anomalies, usually after redesign) - Violation metrics - Load time --- **Source:** [Yottaa Anomaly AI Resource Page](https://www.yottaa.com/resources/anomaly-ai/) --- # Context Intelligence | Field | Value | |-------|-------| | **Title** | Context Intelligence | | **Type** | Datasheet | | **Source URL** | https://www.yottaa.com/resources/context-intelligence/ | | **Date** | 2026-04-22 | --- The ability to understand and analyze the context in which website visitors are operating enables the system to provide optimized and personalized experiences to users, generate analytics data for informed decisions, and support various tasks related to web content management, marketing, security, and user engagement. Yottaa can analyze a client's HTTP request, figure out its specific context, and then adjust the optimization settings accordingly. It can then apply context-specific settings to redirected HTTP requests and responses. Understanding context allows: - Applying optimizations to speed performance, improve engagement, and increase conversion rates - Implementing targeted marketing campaigns - Protecting site, inventory, and user information from malicious traffic - Narrowing impact of anomalies User contexts include web browser type, client device type, mobile device type, network connection, geolocation, security, and bots. Rules can be created to provide different experiences and promote marketing initiatives based on context. ## User Profiles Websites cater to diverse segments. Context intelligence segments audience based on device, location, browser, network, header, client IP, or custom data property. Profiles can be applied to individual conditions or built with complex multi-conditions. ### Profile Rules Examples - Enable tests comparing different load orders - Create profiles for different geographic locations - Detect mobile visitors to load different image resolutions - Reduce bounce rate on landing pages ## Split Tests Can test individual performance rules, security rules, or third parties. Assign a percentage of traffic to any specific rule. Data can be fed into Adobe/Google/analytics platform. Different from Continuous Impact A/B test. ## Context Segmentation Options | Dimension | Options | |-----------|---------| | Device | Desktop, Tablet, Mobile | | Browser | Chrome, Safari, Firefox, Edge, Other | | Network | Wi-Fi, Cellular, Other | | Geolocation | Country, Region, City | | User Agent | -- | | IP | -- | ## Context Segmentation Full range of metrics filtered by device, browser, network, geolocation, and page categories. ## Conversion Rates and Bounce Rates Shows engagement by device type. For example, 75% of traffic may come from mobile but account for only 60% of conversions, with the highest bounce rate and lowest conversion rate, suggesting an optimization opportunity. ## Patent US 9,674,258 -- System and method for context specific website optimization. --- **Source:** [Yottaa Context Intelligence Resource Page](https://www.yottaa.com/resources/context-intelligence/) --- # Community Benchmarking | Field | Value | |-------|-------| | **Title** | Community Benchmarking -- How Does Your Site Rate? | | **Type** | Datasheet | | **Source URL** | https://www.yottaa.com/resources/community-benchmarking/ | | **Date** | 2026-04-22 | --- Discovering whether your website outshines or lags competitors in user experience is pivotal for directing marketing, development, and customer engagement activity. Yottaa dynamically tracks key performance indicators across its clientele and delivers them as community benchmarks. These metrics include conversion and bounce rates, session numbers, and page load time indicators. Community Benchmarking allows you to view website performance against an aggregate of other companies in select eCommerce sectors or companies using popular platforms. ## Insights Dashboard Provides comparisons on: - **Conversion Rate** -- Rate at which shoppers reach order confirmation - **Bounce Rate** -- Sessions ending with only one page view - **Session Depth** -- Average pages per session ## Page Load Time Important indicator using the browser's Load metric used by Google for SEO. Influences customer satisfaction, conversion, and bounce rates. ## Community Categories ### eCommerce | Category | |----------| | Top Sites by Traffic | | All Apparel | | Active Apparel | | Electronics | | Food & Beverage | | Footwear | | General Apparel | | Health & Beauty | | Home Products | | Jewelry | | Specialty & Sporting Goods | | Supplements | ### Platforms | Platform | |----------| | Adobe Commerce | | Home Grown Platform | | Salesforce Commerce Cloud | | SAP Hybris Commerce | | Shopify | | Sitecore | ## Performance Dashboard Shows average number of third parties, Page Delay Violations, and average violations. | Metric Group | Metrics | |-------------|---------| | Infrastructure | DNS Lookup Time, Last Byte Time | | Page Loading | DOM Complete, DOM Interactive, Time To Interactive | | Web Vitals | Core Web Vitals metrics | | Other | Violations, JavaScript Errors | ### Comparison Breakdowns | Dimension | Options | |-----------|---------| | Device | Desktop, Mobile, Tablet, Other | | Browser | Chrome, Safari, Firefox, Edge, Other | | Page Category | Cart, Category, Home, Landing, Product, Search, Order Confirmation, Other | ## Reports Reports can be downloaded or scheduled (monthly, weekly, daily, hourly, every 10 minutes). | Output Format | Delivery Method | |---------------|-----------------| | TXT | Email | | JSON | SFTP | | HTML | Webhook | | CSV | Amazon S3 | | PDF | | | PNG | | ## Third-Party Knowledge Base Compilation of over 12 years of third-party tag examination. 1,000+ applications characterized. Shows community detection percentage and Performance Index Rating (PIR): | PIR Range | Impact Level | |-----------|-------------| | PIR <= 15 | Little to no impact | | PIR 16--150 | Inconsistent negative impact | | PIR >= 151 | Consistent negative impact | Data gathered from over 1,500 optimized eCommerce sites, updated daily, aggregated into 18 community categories. --- **Source:** [Yottaa Community Benchmarking Resource Page](https://www.yottaa.com/resources/community-benchmarking/) --- --- title: Audit Third-Party Tags type: Data Sheet source_url: https://www.yottaa.com/resources/audit-third-party-tags/ date: 2026-04-22 --- # Audit Third-Party Tags ## Third-Party Tag Visibility Yottaa detects and continuously monitors for any changes to third-party tags on a company's site, unlike tag managers that may not even know what they deploy. All third-party tags will be captured and catalogued within Yottaa's commerce and marketing technologies knowledge base. Many third-party tags are invaluable for optimizing the digital experience. Gaining visibility of all third-party tags, together with characteristics of the tags, makes it possible to understand the full impact of these resources, allowing for a more intelligent optimization of site speed performance. ## How It Works Yottaa's third-party tag auditing shows all resources making network requests after the Yottaa JavaScript has loaded. A single line of JavaScript is deployed at the start of each web page (single-page apps are also supported) to provide complete visibility into all external resources. ## Information Provided | Data Point | Description | |---|---| | Number of Third Parties | Identified and unidentified | | Category | eComm Tech, Security, Ad Tech, Social Media, Analytics, Video, etc. | | Page % | Percentage of site pages the tag executes on | | Page Delay Violations | Request took >750ms before page finished loading | | Page Category View | Home, Product Description, Cart, Checkout, Confirmation | | Impact | Service Flow view showing milliseconds impact for each tag | | Waterfall View | Load order with Average Load Time, First Contentful Paint, DOM Content Loaded, Onload time, Largest Contentful Paint | ## Individual Tag Performance Data | Metric | Description | |---|---| | Page Percentage | Percentage of pages where the tag runs | | Page Delay Violations | Requests exceeding delay thresholds | | Performance Risk Violations | Third party loading before onload takes longer than set ms | | Load Failure Violations | Third party fails to load | | Community Site Detection | Number of community sites where the tag is detected | ### Real-World Example One large apparel company, after running an audit with Yottaa, learned they had five vendor tags still collecting user behavior even though they believed they had taken them off the site. ## Diagnostics | View | Details | |---|---| | Resources | Occurrences, start/last byte times, violations, resource URL | | Most Viewed Pages | Page views, category, page URL | | Violations | Page URL, category, violation count | | Site Code | Occurrences, location in source code | ## Performance Index Rating (PIR) Measures how much a third party negatively impacts site performance. **Formula:** (Performance violations rate + Page delay violations rate) / Average number of resources loaded by the third party ## Third-Party Knowledge Base Built on over 12 years of examination with 1,000+ applications characterized. The eCommerce Technology Index annual report benchmarks performance with PIR ratings: | PIR Range | Rating | |---|---| | <= 15 | Little to no impact | | 16 - 150 | Inconsistent negative impact | | >= 151 | Consistent negative impact | --- Source: [Yottaa - Audit Third-Party Tags](https://www.yottaa.com/resources/audit-third-party-tags/) --- --- title: Cache Experience type: Data Sheet source_url: https://www.yottaa.com/resources/cache-experience/ date: 2026-04-22 --- # Cache Experience ## Overview Website performance is always impacted by the large, and increasing, amount of text, images, JS, and third parties that need to be fetched from the server for every page visited. Current solutions delay or sequence loading of applications, or prefetch and cache at the Edge level. Being able to predict what may be requested next and caching it locally before it is requested provides an extra performance boost and better visitor experience. ## What Is Cache Experience Yottaa's prefetch and caching capability, Cache Experience, is focused on loading and managing the HTML content required by the application at the browser level. It is highly personalized, meaning the predicted resource and page load will be different for each site and based on user interaction. Configuration settings can determine what event (add to cart, enter promo code, etc.) triggers a refresh or what pages should automatically trigger a refresh. ## Architecture This technique is supported at the browser level as opposed to the more common approach of implementation at the Edge/CDN level. The cache is implemented as a standard browser service worker client-side cache (not browser cache store or edge/CDN). The service worker is installed at the root domain and is supported with a set of APIs to control prefetch and caching of objects. It runs on all pages of the site that are on the same domain. The service worker operates complementary to Yottaa's application sequencing and Edge acceleration capabilities. ## Key Features - **Smart Prefetch:** Utilizes site information to prefetch the top visited pages to speed up performance. - **Journey Caching:** Keeps all user navigated pages up to date in cache and updates them as the visitor interacts with the site. - **Cache Management:** Ability to trigger when cache refreshes should occur via convenient APIs and portals. - **Cart Readiness:** Caches the cart page when visitors first arrive on a site. As the user interacts, changes that affect the cart are identified and the cart is refreshed in cache. Cart pages are one of the most important but often slowest pages. ## Benefits Achievable cache hit rate of 20% by reducing latency through resource prefetching. Performance improvements across: - First Byte Time - Last Byte Time - Page Load - First Contentful Paint - Largest Contentful Paint --- Source: [Yottaa - Cache Experience](https://www.yottaa.com/resources/cache-experience/) --- --- title: Third-Party Violations and JavaScript Errors type: Data Sheet source_url: https://www.yottaa.com/resources/third-party-service-level-violations/ date: 2026-04-22 --- # Third-Party Violations and JavaScript Errors ## Overview Many companies have added solutions to enhance their primary platform. Examples include product recommendations, ratings and reviews, chat, and user generated content. These are commonly added through third-party tags. Sometimes tags are not operating to consistently deliver an optimum digital experience. Being able to identify specific tags whose services are operating outside desired limits (violations), and which pages they run on, allows targeted optimization. It can also identify underperforming vendors. ## Violation Types ### Page Delay Violations When a resource that loads before onLoad takes longer than a set number of milliseconds (default 750ms). Delays the moment the page becomes interactive, increasing bounce rate and reducing conversion. ### Size Violations When a resource (usually an image) is larger than a set number of kilobytes (default 1,024 KB). ### Performance Risk Violations When a third party that loads after onLoad takes longer than set milliseconds (default 1,500ms). These don't affect onLoad but may prevent access to reviews, chat, and recommendations. ### Load Failure Violations When a third party fails to load. Often caused by ad blockers, network outages, or third-party outages. ### JavaScript Errors When a browser cannot execute some portion of JavaScript due to a syntax or runtime error. Can happen with first and third parties. ## Violation Reporting Violations are shown by default for the last seven days (changeable from "Today" to "This year" or custom). Each type shows: | Dimension | Breakdown Options | |---|---| | Frequency | Total violation count over selected period | | Violations by Third Party | Per-vendor violation counts | | Page Percentage | Percentage of pages affected | | Device | Desktop, Mobile, Tablet, Other | | Browser | Chrome, Safari, Firefox, Edge, Other | | Page Category | Home, Product, Category, Search, Page, Blog, Cart, Uncategorized | ## Diagnostics Detailed information includes timestamp, third party, resource URL, page URL, number of errors, and error message. Data is collected in real time. ## Anomalies Data is monitored over a two-week period. The system captures violations or JavaScript error rates outside usual limits. Email and Slack alerts are configurable. --- Source: [Yottaa - Third-Party Violations and JavaScript Errors](https://www.yottaa.com/resources/third-party-service-level-violations/) --- --- title: Core Web Vitals Diagnostics type: Data Sheet source_url: https://www.yottaa.com/resources/google-core-web-vitals-diagnostics/ date: 2026-04-22 --- # Core Web Vitals Diagnostics ## Overview Discover what your real users are experiencing with diagnostic insights that pinpoint the exact element or elements that are the root cause of your Core Web Vitals scores. ## Monitor Core Web Vitals with Yottaa Real-world user experience data is captured from site traffic in real-time without sampling. Uses the browser's Performance API for high-precision timestamps. ## Core Web Vitals Metrics Core Web Vitals are three metrics defined by Google: | Metric | Abbreviation | Description | |---|---|---| | Largest Contentful Paint | LCP | Measures loading performance | | Interaction to Next Paint | INP | Measures interactivity | | Cumulative Layout Shift | CLS | Measures visual stability | Each metric is automatically assigned a rating of Good, Needs Improvement, or Poor. ## Key Insights For LCP, INP, and CLS: - Percentage change against prior period - Score - Range (Good / Needs Improvement / Poor) - Score by device (desktop, mobile, tablet, other) - Score by Page Category ## Trend Data | Capability | Details | |---|---| | Rollup Ability | Hourly, Daily, Weekly, Monthly | | Filterable By | Device Types, Browsers, Page Categories | | Percentiles | 75th (default), Average, Median (50th), 85th, 90th, 95th | ## Diagnose Performance Issues Diagnostic insights by page category with recommended statistical analysis. Summary of performance impact by page category and metric. Identify specific resources slowing down pages. - Identify problematic pages by metric and score - View hourly insights for last 24 hours - Review resources (URL) negatively affecting each metric ### Additional Diagnostic Insights **LCP:** Resource render time, load order, and events. **CLS:** Resource CLS value, vertical, horizontal, and area changes. ## Lab vs. Field Data Google uses CrUX data (a moving average of 28 days from Chrome users) for search rankings. Yottaa provides real user field data for up to thirteen months. ## Anomaly AI Integration Monitors each metric in real-time and alerts for performance changes impacting SEO or conversion rates. Faster than standard Google reporting. Alerts are available via email or Slack. ## Context Intelligence Built-in filtering by device type, browser, and page category. Includes 75th percentile along with Average, Median, 85th, 90th, and 95th percentiles. ## Additional Performance Metrics Beyond CWV The following metrics, defined by the W3C Web Performance Working Group, are also available: | Metric | Metric | |---|---| | DNS Lookup Time | DOM Complete | | Connect Time | DOM Interactive | | TTFB (Time to First Byte) | TTI (Time to Interactive) | | DOM Content Loaded | FCP (First Contentful Paint) | | TTLB (Time to Last Byte) | Load Event | | Last Byte Time | | --- Source: [Yottaa - Core Web Vitals Diagnostics](https://www.yottaa.com/resources/google-core-web-vitals-diagnostics/) --- --- title: Real User Web Performance Data via MCP type: Datasheet source_url: https://www.yottaa.com/resources/real-user-web-performance-data-via-mcp/ date: February 4, 2026 author: Jon Carlson --- # Real User Web Performance Data via MCP **The only MCP server that connects performance to revenue** eCommerce sites load 20-40 third-party scripts that degrade performance without accountability. Yottaa's MCP server delivers AI-powered third-party impact analysis, ML-driven anomaly detection, and performance diagnostics directly into developer workflows — from per-vendor script impact ranking to Core Web Vitals trends to JavaScript error attribution. Every response is structured JSON with consistent schemas, meaning the same queries that power interactive investigation can power any automated workflow that needs to reason about production performance. For sites with e-commerce tracking, this data directly quantifies revenue impact. For all sites, it eliminates manual performance investigation. --- ## Why MCP for Performance Data ### The Problem When page load time increases on an eCommerce site, identifying which of 20-40 third-party scripts caused the regression requires manual waterfall analysis across multiple dashboard views. Third-party vendor conversations lack quantified impact data. Performance teams cannot answer "what is slow performance costing us?" without context-switching between IDE, monitoring tools, and business analytics. ### The Yottaa Approach Ten purpose-built MCP tools expose real-user performance metrics — Navigation Timing, Core Web Vitals, CDN analytics, third-party impact, anomaly detection, and error diagnostics — with 7 segmentation dimensions to any MCP-compatible client. Rich tool schemas with intelligent defaults enable AI clients to select correct parameters automatically. Each anomaly returns onset timestamp, baseline value, and current value for immediate regression correlation. Each third-party vendor is ranked by discrete millisecond impact. Each metric is available at 7 statistical percentiles. --- ## Key Features ### Third-Party Impact Analysis **Vendor Impact Ranking:** Automatic identification and ranking of 27+ third-party vendors by load time contribution (milliseconds). Each vendor's impact is returned as a discrete millisecond value — making it straightforward to compare against any per-vendor performance budget your team defines. **Per-Vendor Drill-Down:** Individual vendor impact analysis with device and browser filters reveals platform-specific third-party behavior. **30-Day Impact Window:** Default 30-day analysis period captures stable third-party impact patterns, not just point-in-time measurements. ### Diagnostics & Anomaly Detection **ML-Powered Anomaly Detection:** Detects statistically significant performance deviations automatically. Returns the affected metric, anomalous value, exact onset timestamp, severity (high/medium), root cause analysis, and trend context including baseline value — providing everything needed to correlate a regression with whatever changed in that time window. **JavaScript Error Diagnostics:** Full error messages with complete call stacks, page category attribution (Cart/Checkout, Product Detail, etc.), occurrence frequency, and source identification (first-party vs third-party). Query any time window up to 48 hours — compare error populations between two time periods to identify newly introduced errors versus pre-existing noise. **Configurable Analysis Windows:** Anomaly count limits (default: 5), JS error time windows (default: 24 hours), and tool-specific intelligent defaults prevent data overload while preserving the ability to specify exact time windows when precision matters. ### Core Web Vitals & Page Performance **30+ Performance Metrics:** Navigation Timing (DNS, connect, TTFB, last byte, DOM complete, DOM interactive, on load), Core Web Vitals (LCP, CLS, INP), paint metrics (FP, FCP), interaction metrics (TTI, FID), CDN analytics (edge time, origin time, cache hit ratio, cache efficiency), and 12 resource/diagnostic counts. **7 Statistical Representations:** Weighted average, arithmetic average, median, 75th, 85th, 90th, and 95th percentile for any metric. The 75th percentile aligns with Google's Core Web Vitals assessment methodology, making it the natural threshold for any pass/fail performance evaluation. **7 Segmentation Dimensions:** Device, browser, page category, page type, cache status, continent, and country. Cache status breakout (hit/miss/stale/revalidated/bypass) reveals optimization opportunities. ### Session & Traffic Analytics **Session Volume & Engagement:** Total sessions, bounce rates, and session depth segmented by device (mobile/desktop/tablet), browser (Chrome/Safari/Firefox/Edge), and connection quality (WiFi/4G/3G/2G/5G). **Session Trends:** Time-series session data with configurable period granularity (hour/day/week/month). Full metric set per period — not just session counts but bounce rates, depth, load times, and conversion metrics trending over time. **Traffic Segmentation:** Human vs bot traffic filtering ensures business metrics reflect real user behavior. Page category breakouts reveal engagement patterns across eCommerce funnel stages. ### Conversion Zone Intelligence *Requires active e-commerce transaction tracking.* **Performance-to-Conversion Buckets:** Yottaa's data shows reducing LCP from 2.5s to 1.3s delivers a 50% conversion lift, and cutting INP from 200ms to 50ms boosts conversion by 14%. Conversion data segmented by performance metric ranges across LCP, CLS, INP, and Observed Load Time reveals exactly where your site's performance thresholds drive these behavior changes. Each bucket reports conversion rate, bounce rate, sessions, revenue, orders, and average order value across 26 global currencies. --- ## Technical Specifications ### MCP Protocol & Transport | Specification | Detail | |---------------|--------| | Server Type | Remote cloud-hosted (zero-install, no npm packages or local binaries) | | Transport | HTTP request-response pattern with JSON payloads | | Authentication | JWT bearer token with embedded claims (user_id, site_id, site_key) | | Tool Count | 10 tools (9 analytical + 1 authentication/context) | | Response Format | Structured JSON with consistent schemas per tool | | Multi-Tenancy | Users access only their authorized site data via JWT claims | ### Available Tools | Tool | Purpose | |------|---------| | `session-analytics` | Session volume, bounce rates, engagement by segment | | `session-trends` | Time-series session data (hour/day/week/month) | | `pageview-analytics` | Performance metrics with breakouts and percentiles | | `pageview-analytics-trends` | Time-series performance metrics (minute through month) | | `conversion-zone-analytics` | Conversion rates, revenue, AOV (optimized vs origin) | | `conversion-zone-insights` | Performance-bucketed conversion data (LCP/CLS/INP/OLT) | | `site-anomalies` | ML-detected performance deviations with root cause | | `third-party-impact` | Per-vendor load time contribution ranking | | `diagnostics-javascript-errors` | JS errors with stacks, page attribution, frequency | | `jwt-context` | Authentication verification and site context | **Sample response** (`third-party-impact`): ```json {"impact": [ {"third_party_name": "Amazon S3", "on_load_time_impact": 8285}, {"third_party_name": "Pinterest", "on_load_time_impact": 7374}, {"third_party_name": "Google Syndication","on_load_time_impact": 6636}, {"third_party_name": "Google Analytics", "on_load_time_impact": 6465}, {"third_party_name": "Facebook", "on_load_time_impact": 5182} ]} ``` ### Compatible Clients **Verified:** - Claude Code (Anthropic CLI) - Claude Desktop - VS Code (via MCP extensions) - Custom agents (LangChain, other frameworks) - Postman **Works with any MCP-specification-compliant client**, including Cursor IDE and other AI-enabled development environments. **Configuration:** Single JSON configuration entry with server URL and authentication token. ### Available Metrics & Dimensions **Navigation & Paint Timing (11):** domainLookup, onLoad, connect, firstByte, lastByte, domComplete, domContentLoaded, domInteractive, firstPaint, firstContentfulPaint, timeToInteractive **Core Web Vitals & Interaction (4):** largestContentfulPaint, cumulativeLayoutShift, interactionToNextPaint, firstInputDelay **CDN Metrics (4):** cdnEdgeTime, cdnOriginTime, cacheHitRatio, cacheEfficiencyScore **Resource & Diagnostic Counts (12):** eventCount, qoeEventCount, resourceCount, jsErrors, scriptsSequenced, timeOfFirstInteraction, pageDelayViolations, totalViolations, performanceViolations, loadFailureViolations, sizeViolations, securityViolations **Breakout Dimensions (7):** - device (mobile, desktop, tablet, unknown) - browser (chrome, firefox, safari, edge, ie, unknown) - connection (wifi, 2g, 2gslow, 3g, 4g, 5g, other) - page_category_id - page_type - cache_status (hit, miss, stale, revalidated, bypass) - geography (continent_code, country_iso_code) **Statistical Options (7):** standard, average, median, 75th_percentile, 85th_percentile, 90th_percentile, 95th_percentile **Trend Periods (5):** minute, hour, day, week, month. Minute-level granularity (supported for intervals under 24 hours) with ISO-8601 `from/to` parameters enables precise before-and-after comparisons — observe exactly how metrics shifted following a specific point in time. **Conversion Bucket Metrics (4):** olt, lcp, cls, inp **Currency Support (26):** USD, EUR, GBP, CAD, AUD, JPY, RUB, INR, BRL, MXN, CHF, NZD, CLP, CNY, COP, CZK, DKK, HKD, IDR, MYR, PHP, PLN, SEK, SGD, TRY, TWD ### Intelligent Defaults | Tool Category | Default Window | |--------------|---------------| | Session & Pageview Analytics/Trends | 7 days | | Conversion Zone Analytics & Insights | 7 days | | Site Anomalies | 7 days | | Third-Party Impact | 30 days | | JS Error Diagnostics | 1 day (max: 2 days) | All tools accept explicit `from/to` ISO-8601 timestamps or `hours_ago` parameters to override defaults when a specific time window is needed. **Data Freshness:** RUM data is queryable within a minute of collection. **Historical Retention:** Depending on package, customers can access up to 13 months of historical data. Contact your CSM to configure retention access for your account. ### Deployment & Security | Concern | Detail | |---------|--------| | Data Residency | Yottaa cloud infrastructure | | Security | ISO 27001:2022 certified, GDPR/CCPA compliant, AES-256 encryption at rest ([details](https://www.yottaa.com/security-policy/)) | --- Source: [https://www.yottaa.com/resources/real-user-web-performance-data-via-mcp/](https://www.yottaa.com/resources/real-user-web-performance-data-via-mcp/) --- --- title: Conversion Insights type: Datasheet source_url: https://www.yottaa.com/resources/conversion-insights-datasheet/ date: April 14, 2025 author: Jon Carlson --- # Conversion Insights ## Overview Conversion Insights measures the impact of site speed optimizations on key performance indicators including conversion rate, revenue, and ROI. The dashboard tracks crucial business eCommerce metrics while filtering out non-malicious web crawlers, and compares optimized vs unoptimized traffic to quantify the value of performance optimization. ## Conversion Zone Analysis The Conversion Zone is the performance range where the majority of conversions occur. It is identified when: - 60%+ of conversions fall within a specific page load time range - The highest conversion rate is observed within that same range **Site Speed Standard:** A 1-second reduction in page load time delivers a 5.9% conversion lift and an 8.9% bounce rate reduction. **Yottaa's Impact** measures how many more optimized sessions fall within the Conversion Zone compared to unoptimized sessions, directly quantifying the business value of optimization. ## Optimization Impact Optimization Impact quantifies Yottaa's effectiveness by comparing optimized vs unoptimized traffic. Results are displayed as both absolute and percentage differences. **Example:** A 31.19% reduction in Page Load Time corresponds to a 1.44% uplift in Estimated Revenue. ## Performance Impact on Metrics The dashboard provides several views into how site speed affects business outcomes: - **Site Speed Impact on Conversion Rate** — shows how conversion rate changes across page load time ranges - **Site Speed of Converters vs Non-Converters** — compares the page load times experienced by users who converted against those who did not - **Site Speed Impact on Conversion Rate and Bounce Rate (Deciles)** — breaks performance into deciles to reveal granular relationships between speed, conversion, and bounce behavior ## Data Trends Longitudinal graphs display metric trends over time with configurable rollup periods: - Monthly - Weekly - Daily - Hourly ## Metrics Assessed - Sessions - Conversions - Conversion Rate - Orders - Revenue - Revenue per Session - Revenue Lift - Estimated Revenue - Estimated Revenue Lift - Page Load Time - Bounce Rate - Session Depth - Average Order Value ## Known Bot Filter Conversion Insights excludes non-malicious web crawlers from reporting, including bots from Google, Bing, and Facebook, ensuring that business metrics reflect real user behavior. ## Technical Dependencies Conversion Insights requires integration with one of the following analytics platforms: - GA4 (Google Analytics 4) - Adobe Analytics - Shopify Analytics --- Source: [https://www.yottaa.com/resources/conversion-insights-datasheet/](https://www.yottaa.com/resources/conversion-insights-datasheet/) --- --- title: Continuous Impact type: Datasheet source_url: https://www.yottaa.com/resources/continuous-impact-datasheet/ date: April 12, 2025 author: Jon Carlson --- # Continuous Impact ## Overview Yottaa constantly validates the impact of its optimizations via the Continuous Impact dashboard, which compares optimized vs unoptimized traffic in real time. ## Traffic Split Methodology - **Production configuration:** 99/1 pageview split (99 optimized, 1 unoptimized per 100 page views) - **Trial configuration:** 50/50 session split for statistically valid conversion rate and bounce rate comparison - Different ratios are available depending on use case ## Top Line Indicators The dashboard surfaces key impact metrics at a glance: - Percentage faster Page Load Time - Number of optimized sessions and page views - Percentage fewer third-party violations - Percentage increase in sessions in Conversion Zone - Total shopper time saved ## Time Ranges Time range selection includes 19 quick-select ranges from "Today" to "This Year," plus custom date range support. ## Detailed Breakdown ### Page Load Time and Time to Interactive Detailed comparison of Page Load Time and Time to Interactive metrics between optimized and unoptimized traffic. ### Web Vitals Metrics The following Core Web Vitals and performance metrics are tracked: - **FCP** (First Contentful Paint) - **FID** (First Input Delay) - **CLS** (Cumulative Layout Shift) - **LCP** (Largest Contentful Paint) - **INP** (Interaction to Next Paint) Each metric is displayed as: - Actual time value - Difference in milliseconds - Percentage difference Breakdowns are provided for overall, desktop, and mobile. ### Page Category Table Per-page-category breakdown including: - Percentage of visitors - Optimized value - Unoptimized value - Yottaa Impact (difference) - Percentage change - Optimized and unoptimized page views ### Third-Party Impact Table Comprehensive third-party analysis listing: - All third parties active on the site - Category of each third party - Page percentage (share of pages where the third party is present) - Optimized page delay violations - Unoptimized page delay violations - Percentage impact --- Source: [https://www.yottaa.com/resources/continuous-impact-datasheet/](https://www.yottaa.com/resources/continuous-impact-datasheet/) --- --- title: Web Performance Services type: Datasheet source_url: https://www.yottaa.com/resources/web-performance-services-datasheet/ date: null author: null --- # Web Performance Services ## Overview Web Performance Services (WPS) delivers purpose-built infrastructure on Fastly and HUMAN, orchestrated with Yottaa's patented technology. WPS reduces infrastructure management costs by up to 40%. ## Three Pillars ### 1. Fastly Edge Cloud Platform - **CDN** — content delivery network for global edge caching - **Edge Compute** — serverless compute at the edge - **Image Optimizer** — automatic image optimization and transformation - **Next-Gen WAF** — web application firewall - **Observability** — 200+ metrics for visibility into edge performance - **TLS Management** — automated certificate provisioning and renewal - **DDoS Protection** (add-on) — distributed denial-of-service mitigation ### 2. HUMAN Sightline Cyberfraud Defense with AgenticTrust - Neutralizes fraud by bots, humans, and AI agents - Safeguards against account takeover (ATO), fake accounts, and carding - Defends against scraping and API abuse - PCI DSS Compliance ### 3. Yottaa Service Orchestration - **Service Portal** — no-code management of Fastly and HUMAN configurations - **HTML Transformation** — optimizes HTML sent to the browser - **Accelerators** — templated "site-in-a-box" configurations with Google best-practice caching ## Yottaa Web Performance Cloud Capabilities - Application Sequencing - Cache Experience - RUM (Real User Monitoring) - Anomaly AI - CWV Diagnostics (Core Web Vitals) - Community Benchmarking - Audit Third-Party Tags - Violations and JavaScript Errors - Conversion Insights ## Expert Managed Services ### Technical Account Management - Technical Account Management - WAF & Bot Mitigation - Security Rule Audits - Performance Rule Audits - Content Transformation - Site Migration - Support Tickets - Non-Yottaa Issue Investigation ### Configuration - Test & Deploy - Add New Integrations - New Site Setup - SSL Certificate Generation ### Monitoring - Global Performance Monitoring - Global Security Monitoring - Alert and Anomaly Monitoring - Major Event Prep (Cyber 5) --- Source: [https://www.yottaa.com/resources/web-performance-services-datasheet/](https://www.yottaa.com/resources/web-performance-services-datasheet/) --- # Full Solution Sheet Content The following sections contain the complete text of all Yottaa solution sheets, provided for comprehensive AI reference. --- --- title: "Core Web Vitals: Optimize Site Speed, SEO Rankings, and Conversions with Yottaa" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/achieve-core-web-vitals-success --- # Core Web Vitals: Optimize Site Speed, SEO Rankings, and Conversions with Yottaa ## Why Core Web Vitals Matter Core Web Vitals (CWV) are Google's standardized metrics for measuring real-world user experience on the web. They directly impact SEO rankings and ad performance across three key dimensions: - **Largest Contentful Paint (LCP)** -- Measures loading performance. Good scores are under 2.5 seconds. - **Cumulative Layout Shift (CLS)** -- Measures visual stability. Good scores are under 0.1. - **Interaction to Next Paint (INP)** -- Measures interactivity and responsiveness. Good scores are under 200 milliseconds. ## The Cost of Failing Core Web Vitals Failing CWV creates a cascade of problems across the business: - **SEO penalties** -- Poor CWV scores lower search rankings, reducing organic traffic and visibility. - **Marketing inefficiency** -- Lower rankings and degraded ad performance mean higher acquisition costs and wasted spend. - **User dissatisfaction** -- Slow, unstable pages frustrate shoppers and drive them to competitors. - **Operational overload** -- Without clear diagnostics, teams spend excessive time troubleshooting performance issues with limited results. ## How Yottaa Addresses Core Web Vitals ### Diagnose and Track CWV in Real Time - **Comprehensive Monitoring** -- Continuously tracks LCP, CLS, and INP across pages, devices, and browsers using real-user data. - **Root Cause Analysis** -- Identifies the specific resources, third-party scripts, and page elements causing CWV failures. - **Real-Time Alerts via Anomaly AI** -- Detects performance anomalies and flags issues before they impact shoppers or rankings. ### Optimize CWV Performance - **Application Sequencing** -- Prioritizes the loading order of third-party scripts so critical content renders first, improving LCP and INP scores. - **Cache Experience** -- Leverages intelligent browser caching to serve returning visitors faster, reducing load times and improving CLS stability. ## Value Delivered - **Improved SEO rankings** -- Meeting CWV thresholds helps maintain and improve organic search positioning. - **Higher marketing ROI** -- Better page experience scores improve ad quality ratings and reduce cost per acquisition. - **Enhanced shopper experience** -- Faster, more stable pages keep shoppers engaged and moving through the funnel. - **Measurable ROI** -- Up to 10% lift in conversions from optimized site performance. - **Time savings** -- Automated diagnostics and optimization reduce the manual effort required from development and operations teams. ## Results - Up to **30% faster** page loads - Up to **10% higher** conversion rates --- Source: [Achieve Core Web Vitals Success](https://www.yottaa.com/resources/solution-sheets/achieve-core-web-vitals-success) --- --- title: "Achieving True ROI on eCommerce Investments Amid Tech Bloat" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/achieve-roi-amid-tech-bloat --- # Achieving True ROI on eCommerce Investments Amid Tech Bloat ## The Problem: Tech Bloat Drags Down Performance eCommerce brands continuously add third-party tools -- analytics, personalization, A/B testing, chat, reviews, and more -- to enhance the shopping experience. Over time, this accumulation creates tech bloat that silently erodes site performance and revenue. - **Third-party apps account for 44% of total load time** on eCommerce sites. - **Unoptimized third-party apps reduce conversions by 0.29% per tool** added to the stack. - **Redundant and underutilized tools** weigh down performance without delivering proportional value. The result: every tool added to improve results may actually be working against the bottom line. ## How Yottaa Cuts Through Tech Bloat ### Audit Third-Party Tags Provides a comprehensive inventory of all third-party scripts running on the site, benchmarked using the Performance Impact Rating (PIR) -- a proprietary metric that quantifies each tool's effect on page load and conversions. ### Application Sequencing Prioritizes the load order of third-party scripts so that critical resources render first and non-essential tools load asynchronously, preventing them from blocking the shopper experience. ### Third-Party Violations and JavaScript Errors Monitors third-party scripts for performance violations and JavaScript errors that degrade site speed, identifying which vendors are introducing risk. ### Anomaly AI Detects performance irregularities in real time, alerting teams to sudden slowdowns or third-party misbehavior before it impacts shoppers. ## Value Delivered - **Streamlined third-party use** -- Identify redundant, underperforming, or resource-heavy tools and make informed decisions about what to keep, optimize, or remove. - **Actionable ROI insights via PIR** -- Quantify the actual performance cost and conversion impact of every third-party application in the stack. - **Improved speed and conversion rates** -- Up to 10% lift in conversions through optimized third-party loading. - **Saving 1 second boosts mobile conversions by 3%** -- Even incremental improvements in load time translate directly to revenue. --- Source: [Achieve ROI Amid Tech Bloat](https://www.yottaa.com/resources/solution-sheets/achieve-roi-amid-tech-bloat) --- --- title: "Benchmark Your eCommerce Performance to Gain a Competitive Edge" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/benchmark-site-performance --- # Benchmark Your eCommerce Performance to Gain a Competitive Edge ## The Challenge: No External Frame of Reference Without external benchmarks, eCommerce brands operate in the dark. Common questions that go unanswered: - How does our conversion rate compare to similar brands? - Are our bounce rates above or below industry norms? - Is our page load speed competitive across devices and browsers? Internal metrics alone cannot answer these questions. Teams optimize in isolation, unable to distinguish between good-enough performance and genuine competitive gaps. ## Yottaa Community Benchmarking Yottaa provides access to anonymized, aggregated performance data from over **1,500+ optimized eCommerce sites**, giving brands the external context they need to set meaningful targets and prioritize improvements. ### Key Insights - **Data-driven comparisons** -- Compare conversion rates, bounce rates, and session depth against peer benchmarks. - **Granular segmentation** -- Break down performance by device type, browser, and page category to identify where gaps exist. - **Optimized vs. unoptimized proof points** -- See the measurable difference between sites running with performance optimization and those without. ## Why Yottaa - **Integrated optimization and insights** -- Benchmarking is paired with the tools to act on findings, not just observe them. - **Proof of impact** -- Up to 30% faster page loads and up to 10% higher conversion rates among optimized sites. - **Third-party knowledge base with PIR** -- Performance Impact Ratings quantify how each third-party tool affects speed and conversions. - **Actionable insights by segment** -- Drill into specific device, browser, and page-level data to target the highest-impact opportunities. ## Data Highlights - **Pages loading in 2-3 seconds** see **2x higher conversions** compared to slower pages. - **Load times over 4-5 seconds** push bounce rates to **75%**. - **77% of traffic comes from mobile**, but mobile performance lags desktop by **30%**. - **Safari conversion rates trail Chrome by approximately 1 percentage point**, highlighting the need for browser-specific optimization. --- Source: [Benchmark Site Performance](https://www.yottaa.com/resources/solution-sheets/benchmark-site-performance) --- --- title: "Boost Conversions with a Faster, More Reliable Site" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/boost-conversions --- # Boost Conversions with a Faster, More Reliable Site ## The Performance-Conversion Connection Site speed has a direct, measurable impact on eCommerce revenue: - Every **1-second improvement** boosts mobile conversion rates by **3%** and reduces bounce rates by **8%**. - Pages loading in **2-3 seconds** see **2x higher conversions** compared to pages loading in 10 seconds. - Pages taking longer than **4 seconds** suffer a **63% bounce rate**. - **Third-party apps account for 44% of total load time** when unoptimized. ## Where Performance Matters Most - **PDPs and category pages account for 70% of site traffic** -- performance on these pages disproportionately affects revenue. - **Mobile buyers visit 11.7 pages per session**, roughly 2x that of browsers -- engaged shoppers are more sensitive to performance issues across their journey. ## Monitor: Understand What Is Happening - **Real User Monitoring (RUM)** -- Captures actual visitor experience data across devices, browsers, and geographies. - **CWV Diagnostics** -- Tracks Core Web Vitals (LCP, CLS, INP) with root cause analysis. - **Audit Third-Party Tags** -- Inventories all third-party scripts and quantifies their performance impact. - **Third-Party Violations and JS Errors** -- Identifies third-party scripts causing errors or performance degradation. - **Anomaly AI** -- Detects performance irregularities in real time and alerts teams before shoppers are affected. - **Conversion Insights** -- Correlates site speed metrics with conversion data to quantify the revenue impact of performance changes. - **Community Benchmarking** -- Compares performance against 1,500+ optimized eCommerce sites. ## Optimize: Improve What Matters - **Application Sequencing** -- Prioritizes the load order of third-party scripts so critical content renders first. - **Cache Experience** -- Implements intelligent browser caching for faster returning-visitor experiences. - **Context Intelligence** -- Adapts optimization strategies based on device type, connection speed, and browsing context. ## Results - **3% higher conversion rates** per 1-second improvement in load time - **50% drop in bounce rates** for pages loading in under 4 seconds - **120% increased session depth** from optimized site performance --- Source: [Boost Conversions](https://www.yottaa.com/resources/solution-sheets/boost-conversions) --- --- title: "DIY vs Yottaa: The Case for Smarter Performance Management" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/diy-vs-yottaa --- # DIY vs Yottaa: The Case for Smarter Performance Management ## Why DIY Falls Short Managing eCommerce site performance in-house introduces persistent challenges: - **Complexity overload** -- Modern eCommerce sites run dozens of third-party scripts, each with unique loading behaviors and dependencies that are difficult to manage manually. - **Resource-intensive** -- DIY performance optimization demands significant developer time for implementation, testing, and ongoing maintenance. - **Limited visibility** -- Standard tools like Lighthouse and PageSpeed Insights provide synthetic snapshots, not continuous real-user data across devices and browsers. - **Reactive, not proactive** -- Without real-time monitoring and alerting, teams discover performance issues after shoppers have already been affected. - **One-time fixes** -- Manual optimizations degrade over time as third-party vendors update their scripts and new tools are added to the stack. ## Yottaa Advantages - **Automation at scale** -- Continuously optimizes third-party loading, caching, and resource prioritization without manual intervention. - **Proven ROI** -- Up to 30% faster page loads and up to 10% conversion lift. - **Real-time insights** -- Comprehensive monitoring with real-user data, anomaly detection, and conversion correlation. - **Effortless integration** -- Works with Shopify, Salesforce Commerce Cloud (SFCC), BigCommerce, and Magento with minimal implementation effort. - **Future-proofed optimization** -- Adapts automatically as the tech stack changes, new scripts are added, or vendor behavior shifts. - **Developer tooling** -- Includes utilities like `yo.utils.console` for teams that want deeper inspection and control. ## How Yottaa Delivers Value 1. **Application Sequencing** -- Prioritizes the load order of third-party scripts so critical content renders first. 2. **Cache Experience** -- Intelligent browser caching for faster returning-visitor experiences. 3. **Context Intelligence** -- Adapts optimization based on device, connection speed, and browsing context. 4. **Anomaly AI** -- Detects performance irregularities and alerts teams in real time. 5. **Real User Monitoring (RUM)** -- Captures actual visitor experience across all segments. 6. **CWV Diagnostics** -- Tracks Core Web Vitals with root cause analysis. 7. **Community Benchmarking** -- Compares performance against 1,500+ optimized eCommerce sites. ## Comparison | Dimension | DIY | Yottaa | |---|---|---| | **Time to implement** | Weeks | Hours | | **Ease of use** | Complex and siloed | Easy, unified platform | | **Automation** | Manual | Fully automated | | **Third-party knowledge** | Manual tracking, no database | 2,000+ app database with PIR | | **Browser caching** | Custom configuration required | Automatic prefetch and caching | | **Performance monitoring** | Basic (Lighthouse, PSI) | Comprehensive real-user data with 13-month retention | | **ROI** | Hard to calculate | Measurable with clear metrics | --- Source: [DIY vs Yottaa](https://www.yottaa.com/resources/solution-sheets/diy-vs-yottaa) --- --- title: "Eliminate JavaScript Errors, Boost Conversions" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/eliminate-javascript-errors --- # Eliminate JavaScript Errors, Boost Conversions ## The Problem: JavaScript Errors Jeopardize Revenue JavaScript errors silently disrupt the shopping experience, breaking functionality, degrading performance, and eroding shopper trust. For eCommerce sites that rely heavily on third-party scripts, JS errors are a persistent and costly risk. ### Consequences - **Revenue at risk** -- Broken features, failed page loads, and unresponsive elements drive shoppers away and directly reduce conversions. - **Time-consuming debugging** -- Identifying the source of JS errors across dozens of third-party scripts is labor-intensive and often requires cross-team coordination. - **Subpar user experience** -- Errors manifest as broken layouts, non-functional buttons, missing content, and slow interactions that frustrate shoppers. ## Why Existing Solutions Fall Short - **Limited context** -- Traditional error monitoring tools capture errors but lack the eCommerce-specific context to assess their impact on conversions and revenue. - **Reactive approach** -- Most tools alert after errors have already affected shoppers, not before. - **Fragmented workflows** -- Error monitoring is typically disconnected from performance optimization, requiring teams to switch between tools and correlate data manually. - **Narrow scope** -- Standard tools often miss errors introduced by third-party scripts, which account for **44% of total load time** on eCommerce sites. ## How Yottaa Addresses JavaScript Errors ### Third-Party Errors and JavaScript Violations Monitors JavaScript errors and third-party performance violations in real time, identifying which scripts are introducing errors and quantifying their impact on site speed and shopper experience. ### Real-Time Alerts Flags issues before they disrupt the shopping experience, enabling teams to respond proactively rather than reactively. ### Integrated Optimization Works alongside **Application Sequencing** to prioritize critical resources and prevent problematic scripts from blocking essential page functionality. **Anomaly AI** continuously monitors for irregularities and alerts teams to sudden changes in error rates or performance. ## What Sets Yottaa Apart - **Optimized third-party loading** -- Prevents JS errors from blocking critical page rendering by controlling script execution order and timing. - **Actionable diagnostics** -- Breaks down errors by device, browser, page type, and resource to pinpoint exactly where and why issues occur. - **Integrated performance optimization** -- Error monitoring is built into the same platform that optimizes performance, eliminating the gap between diagnosis and resolution. - **AI-driven insights** -- Anomaly AI detects patterns and irregularities that manual monitoring would miss. - **Tailored benchmarks** -- Compare error rates and performance against peer eCommerce sites via Community Benchmarking. - **Built for scalability** -- Handles the complexity of large eCommerce sites with hundreds of third-party scripts across multiple page types. - **Enhanced shopper experience** -- Reducing JS errors directly improves page stability, interactivity, and trust. ## Case Studies - **KUIU** -- Reduced mobile page load times to under 3 seconds, achieving a 5-7% increase in conversion rates. - **Hunter** -- Achieved 40% faster page loads with measurable increases in conversions. --- Source: [Eliminate JavaScript Errors](https://www.yottaa.com/resources/solution-sheets/eliminate-javascript-errors) --- --- title: "Hybrid Real User Monitoring" type: Solution Sheet source_url: https://www.yottaa.com/real-user-monitoring/ date: 2026 note: "Replaces the previous 'Track Every Shopper with RUM' solution sheet" --- # Hybrid Real User Monitoring End-to-end performance visibility across the full eCommerce delivery path. Yottaa Hybrid Real User Monitoring (RUM) gives digital commerce teams a complete, real-world view of site performance by unifying browser, edge, and origin data into a single correlated model. Instead of analyzing performance in silos, teams can see where issues start, how they affect real shopper journeys, and what to fix first to protect revenue. Built specifically for modern eCommerce architectures, Hybrid RUM connects frontend experience, CDN delivery, and backend response to turn performance data into clear, actionable insight. As part of Web Performance Cloud, Hybrid RUM enables digital commerce teams to: - See where issues start - Diagnose Core Web Vitals faster - Catch issues before they escalate - Understand performance in context ## Key Differentiators - **Hybrid Telemetry Model** — Browser, edge, and origin data unified across the full delivery path. - **Delivery Path Diagnostics** — Correlated visibility into frontend, CDN, and origin performance to identify root cause faster. - **MCP-Enabled AI Access** — Structured RUM data with native MCP server access, enabling developers to query performance diagnostics from AI tools, IDEs, and custom agents. Hybrid RUM correlates performance data across the browser, edge, and origin to show how requests move through the entire delivery path. | Layer | What It Captures | |-------|-----------------| | **Browser** | Real shopper behavior, Core Web Vitals, Page interactions | | **Edge** | CDN processing, Cache behavior, Delivery timing | | **Origin** | Backend response time, API latency, Server-side delays | ## Complete Delivery Path Visibility ### See the Full Delivery Path and Pinpoint Root Cause Gain a shared understanding of performance across browser, edge, and origin, so teams can see where issues start and fix the right thing first. - Frontend, CDN, and backend correlation in one model - Cache behavior, edge processing, and delivery efficiency - Faster root cause identification across the stack ### Diagnose Modern Commerce Performance Designed for today's dynamic and composable storefronts, Hybrid RUM reflects how modern sites actually behave. - Core Web Vitals by page, element, and delivery path - Third-party and dynamic content impact analysis - Soft navigation visibility for Single Page Applications (SPAs) ### Connect Performance to Business Impact Bridge technical performance metrics with business outcomes so teams can prioritize what drives growth. - Unified technical and business performance metrics - Conversion Insights tied to speed and revenue thresholds - Competitive benchmarking across pages and devices ### Accelerate Insight with AI Spend less time analyzing data and more time acting, with intelligence embedded directly into performance workflows. - AI-driven anomaly detection and regression alerts - Conversational performance analysis with YoBot - AI-ready data foundation for future automation ## One Platform: End-to-End Performance Visibility ### Monitor with Complete Visibility See the full, real-world performance story with Hybrid RUM — unifying browser, edge, and origin data to reveal where issues start and how they impact shoppers. - CDN cache visibility, edge tracking, and browser-level views - Coverage across all browsers, devices, geos, and connection types - Soft-navigation filtering for Single Page Applications (SPA) ### Take Action, Confidently Clear, actionable performance insights paired with built-in optimization controls help teams resolve critical issues faster, without guesswork or lengthy development cycles. - Third-party optimized loading and critical page caching - Personalized, natural language insights via YoBot AI assistant - Core Web Vitals with element-level diagnostics - AI-powered anomaly detection and automated alerts ### Prove Business Impact Tie technical metrics directly to business outcomes. See which performance trends correlate with commercial metrics, helping teams prioritize high-impact improvements. - Third-party impact ratings and vendor intelligence - Conversion Zone insights specific to your site - Benchmark performance against relevant peers Customer quote: "Milliseconds make millions. Our 33.1% speed boost isn't abstract. It's real dollars when you look at conversion impact." — Jordan Katz, VP of eCommerce, The Sak --- Source: https://www.yottaa.com/real-user-monitoring/ --- --- title: "Maximize ROAS with High-Performance eCommerce Sites" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/maximizing-roas --- # Maximize ROAS with High-Performance eCommerce Sites ## Why Site Performance Matters for ROAS Site speed and stability directly influence the efficiency and return of every dollar spent on advertising. Performance impacts ROAS across multiple dimensions: - **Reduced bounce rates** -- Faster pages keep paid traffic on site longer, ensuring ad spend translates into engagement rather than abandonment. - **Improved ad efficiency** -- Core Web Vitals scores affect Ad Quality Scores and cost per click (CPC). Better performance means lower acquisition costs and higher ad placement. - **Increased conversions** -- A site that loads in 3 seconds delivers approximately 10% higher conversion rates than one that loads in 4 seconds. - **Maximized traffic value** -- Lower customer acquisition costs (CAC), deeper sessions, and richer behavioral data improve retargeting effectiveness. - **Positive user experience** -- Fast, stable pages build trust and drive repeat purchases, increasing lifetime value (LTV). - **Enhanced attribution accuracy** -- Reliable page loads reduce data loss from dropped sessions, improving the accuracy of marketing attribution models. ## How Yottaa Improves ROAS ### Application Sequencing Prioritizes the loading order of third-party scripts so that critical content renders first, ensuring paid traffic encounters a fast, functional experience from the first interaction. ### Context Intelligence Tailors site optimization for paid campaign traffic. Detects traffic source and applies campaign-specific performance rules to deliver the fastest possible experience for visitors arriving from ads. ### Cache Experience Leverages intelligent browser caching to prefetch cart pages and product detail pages (PDPs), reducing load times for the pages that matter most in the conversion funnel. ### Real User Monitoring (RUM) Captures performance data from every shopper session across all browsers and devices, providing granular visibility into how paid traffic experiences the site. ### Core Web Vitals Diagnostics Identifies and resolves the specific resources and scripts causing CWV failures that degrade ad quality scores and increase CPC. ## Campaign Traffic Optimization Yottaa's Context Intelligence powers campaign-specific experiences that maximize the return on paid traffic: - **Campaign-aware optimization** -- Detects traffic arriving from paid campaigns and applies tailored performance rules. - **Browser caching for predictable paths** -- Pre-caches resources along the expected journey from ad click to landing page to PDP to checkout. - **Efficient third-party control** -- Ensures that non-essential scripts do not interfere with the critical conversion path for campaign visitors. ## Customer Results > "With Yottaa, we achieved 30% faster page loads and a 15% conversion lift." > > -- Jay Nigrelli, VP eCommerce, Perry Ellis ## Value Delivered - **Operational efficiency** -- Automated optimization reduces the engineering effort required to maintain site performance for campaigns. - **Business resilience** -- Consistent performance under traffic spikes from campaigns and promotions protects revenue. - **Revenue impact** -- Faster pages convert more paid traffic into revenue, directly improving ROAS. - **Scalability** -- Performance optimizations scale with traffic volume without requiring manual intervention. - **Campaign traffic optimization** -- Purpose-built tools ensure paid visitors receive the fastest, most stable experience. --- Source: [Maximize ROAS with High-Performance eCommerce Sites](https://www.yottaa.com/resources/solution-sheets/maximizing-roas) --- --- title: "Quantifying the ROI of Site Speed and Performance Optimization" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/quantify-roi --- # Quantifying the ROI of Site Speed and Performance Optimization 63% of shoppers bounce when pages take more than 4 seconds to load. Despite this, proving the direct ROI of performance optimization remains one of the most persistent challenges for eCommerce teams. ## Why Proving ROI Is Difficult - **Speed alone does not equal ROI without context** -- Raw speed metrics do not map directly to business outcomes without connecting performance data to conversion behavior. - **DIY approaches fall short** -- Fragmented tools and manual analysis create incomplete pictures of performance impact. - **Attribution confusion** -- Isolating the revenue impact of site speed from other variables (promotions, seasonality, UX changes) is inherently complex. - **Siloed efforts** -- Performance, marketing, and engineering teams often work with disconnected data and priorities. - **Sustaining performance is resource-intensive** -- Continuous optimization requires ongoing effort that is difficult to justify without clear ROI measurement. ## How Yottaa Quantifies ROI ### Real User Monitoring (RUM) Captures real-world shopper behavior across every session, browser, and device -- providing the ground truth for performance-to-revenue analysis. ### Conversion Insights Identifies the Conversion Zone -- the optimal speed range where conversions peak -- and enables split testing to isolate the direct impact of performance changes on revenue. ### Automation at Scale Application Sequencing and Cache Experience automate optimization across the site, reducing manual effort and delivering consistent performance improvements. ### Unified Monitoring Consolidates performance data across pages, devices, browsers, and third-party scripts into a single view, eliminating data silos. ### Third-Party Violations and JavaScript Errors Identifies third-party scripts responsible for up to 44% of total load time, pinpointing the specific tools degrading performance and conversions. ### Anomaly AI Detects performance anomalies in real time and alerts teams before degradation impacts shoppers or revenue. ## Why Choose Yottaa - **Clarity via split testing** -- Conversion Insights enables controlled split tests that isolate the revenue impact of performance improvements. - **Proven ROI** -- Customers see up to 10% higher conversions from optimized site performance. - **Proactive visibility** -- Real-time monitoring and anomaly detection catch issues before they affect the bottom line. - **Third-party expertise** -- Yottaa's Knowledge Base provides deep insight into the performance behavior of thousands of third-party applications. - **Faster time-to-value** -- Automated optimization delivers measurable results without lengthy implementation cycles. ## Customer Results - **Tarte Cosmetics** -- 5% conversion lift, 40% mobile speed improvement. - **Carter's** -- 10% conversion lift, 27% speed improvement. - **1-800 Contacts** -- 3% revenue increase, sub-3-second site speed achieved. --- Source: [Quantifying the ROI of Site Speed and Performance Optimization](https://www.yottaa.com/resources/solution-sheets/quantify-roi) --- --- title: "Reduce Cart Abandonment and Maximize Conversions with Optimized Cart Loading" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/reduce-cart-abandonment --- # Reduce Cart Abandonment and Maximize Conversions with Optimized Cart Loading The global cart abandonment rate is approximately 70%. While many factors contribute to abandonment, site performance is among the most addressable -- and most overlooked. ## Performance-Related Causes of Cart Abandonment - **Slow cart page loading** -- Saving just 1 second on cart load time boosts mobile conversions by approximately 3%. - **Third-party app disruptions** -- Scripts for reviews, recommendations, and analytics can interfere with cart functionality and introduce errors. - **Payment processing delays** -- Slow or unreliable payment interactions cause shoppers to abandon at the final step. - **Device switching inconsistency** -- Shoppers who start on mobile and finish on desktop encounter different performance characteristics, leading to friction. - **Poor mobile optimization** -- Over 70% of eCommerce traffic comes from mobile devices, where performance tolerances are lowest. ## The Cost of Cart Abandonment - **$4 trillion in annual global losses** from abandoned carts (SellersCommerce). - **Wasted acquisition spend** -- Every abandoned cart represents paid traffic that failed to convert, directly eroding ROAS. - **Damaged customer experience** -- Slow or broken cart experiences reduce trust and decrease the likelihood of return visits. ## How Yottaa Reduces Cart Abandonment ### Cache Experience Delivers app-like instant cart loading by intelligently caching cart page resources in the browser while maintaining dynamic content freshness for pricing, inventory, and promotions. ### Application Sequencing Optimizes the loading order of third-party scripts to minimize disruptions during the cart and checkout process, particularly during traffic spikes from campaigns and promotions. ### Third-Party Violations and JavaScript Errors Detects errors and violations from third-party scripts that degrade cart stability, identifying the specific applications causing issues. ### Anomaly AI Provides real-time detection of performance anomalies affecting the cart experience and sends proactive alerts before degradation impacts conversion rates. ### Real User Monitoring (RUM) Delivers actionable data on how shoppers experience the cart page across all browsers, devices, and network conditions. ### Context Intelligence Applies targeted optimizations based on traffic source, device type, and shopper behavior to ensure the cart experience is optimized for each visitor segment. ## Safari Optimization Approximately 38% of shopping sessions occur on Safari browsers. Yottaa ensures Apple and Safari optimization is fully supported, closing the visibility and performance gap that most monitoring tools leave open. --- Source: [Reduce Cart Abandonment and Maximize Conversions](https://www.yottaa.com/resources/solution-sheets/reduce-cart-abandonment) --- --- title: "Boost Performance and Maximize ROI of Shopify Stores" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/shopify-and-yottaa --- # Boost Performance and Maximize ROI of Shopify Stores Shopify offers over 8,000 apps to extend store functionality, but each added app increases performance risk. Common examples include: - A recommendation app loading out of sync with the page, delaying product visibility. - A live chat widget demanding resources too early, competing with critical page elements. - A JavaScript error in a review widget stalling the entire page render. Third-party apps are responsible for approximately 70% of performance issues on Shopify stores. ## Shopify Performance Dashboard Limitations Shopify's built-in Performance Dashboard provides useful baseline data but has significant gaps: - **Excludes Safari** -- Does not capture performance data from Safari, which accounts for approximately 38% of shopping sessions. - **Only 28 days of data** -- Limited historical retention makes it difficult to identify trends or measure long-term impact. - **Identifies but cannot resolve third-party impacts** -- Flags performance issues from apps but does not provide tools to fix them. ## How Yottaa Complements Shopify Yottaa fills the gaps in Shopify's native performance tools: - **Full browser coverage** -- Monitors all browsers including Safari, providing complete visibility. - **13 months of historical data** -- Enables trend analysis, seasonal comparisons, and long-term performance tracking. - **Actionable insights with resolution tools** -- Goes beyond identifying problems to automatically optimizing third-party app behavior. ## Sessions by Browser | Browser | Share of Sessions | |---------|-------------------| | Safari | 38.27% | | Chrome | 24.24% | | Other | 35.05% | | Edge | 1.69% | | Firefox | 0.76% | ## Key Results - **41% reduction** in mobile page load times (average 3.55 seconds achieved) - **Up to 10% increase** in conversions - **300 Shopify stores** optimized - **24% page speed improvement** on average ## Yottaa Capabilities for Shopify ### Application Sequencing with Context Intelligence Controls the loading order and behavior of third-party Shopify apps, applying context-aware rules based on traffic source, device type, and page. ### Anomaly AI Detects performance irregularities caused by app updates, new installations, or third-party misbehavior in real time. ### Community Benchmarking Compares store performance against other Shopify stores in the Yottaa network, providing context for where improvements will have the greatest impact. ### Conversion Insights Connects site speed to conversion behavior, enabling data-driven decisions about which apps to keep, optimize, or remove. ### Real-Time Monitoring Combines Real User Monitoring (RUM), Core Web Vitals tracking, Audit Tags, and Violation detection into a unified monitoring layer. ## Customer Results - **Perry Ellis** -- 15% conversion lift, 30% page load reduction. - **KUIU** -- 5-7% conversion lift, 50% page load reduction. --- Source: [Boost Performance and Maximize ROI of Shopify Stores](https://www.yottaa.com/resources/solution-sheets/shopify-and-yottaa) --- --- title: "Track Every Shopper and Every Session with Real User Monitoring (RUM)" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/track-every-shopper-with-rum --- # Track Every Shopper and Every Session with Real User Monitoring (RUM) Most eCommerce brands have significant gaps in their performance visibility. Synthetic monitoring misses real-world complexity, sampled tools miss sessions, and CrUX only tracks Chrome. Approximately 38% of sessions on Yottaa-monitored sites are from Safari -- a browser invisible to many monitoring solutions. ## Session Data (September--December 2024) ### By Device | Device | Share of Sessions | |---------|-------------------| | Mobile | 77.83% | | Desktop | 16.63% | | Tablet | 2.31% | ### By Browser | Browser | Share of Sessions | |---------|-------------------| | Safari | 36.67% | | Chrome | 23.36% | ## Why Comprehensive RUM Matters - **Optimize for all shoppers** -- Performance decisions based on incomplete data leave revenue on the table for unmonitored browsers and devices. - **Enhance SEO and revenue impact** -- Real-world CWV data from all browsers provides a complete picture of how Google evaluates site experience. - **Understand behavior in real time** -- Live session data enables immediate response to performance degradation. - **Actionable insights** -- Comprehensive data makes it possible to identify and resolve the specific causes of poor experience, not just detect symptoms. ## Synthetic Monitoring vs. Real User Monitoring | Dimension | Synthetic Monitoring | Yottaa RUM | |-----------|---------------------|------------| | Data Scope | Lab-based, simulated conditions | 100% real user sessions | | Coverage | Chrome only (typical) | All browsers including Safari | | Timeliness | 28-day rolling window (typical) | Real-time data | | Visibility | No third-party script insight | Full third-party visibility | | Actionability | Reactive -- identifies issues after the fact | Proactive -- detects and alerts in real time | ## Limitations of Free RUM Tools Free and basic RUM solutions introduce trade-offs that limit their value for eCommerce optimization: - **Sampled data** -- Only a fraction of sessions are captured, missing critical edge cases and low-frequency issues. - **Limited metrics** -- Basic speed metrics without connection to business outcomes like conversions or revenue. - **No integrated optimization** -- Monitoring without the ability to act on findings requires separate tools and manual intervention. ## Yottaa RUM - **Unsampled data** -- Captures 100% of real user sessions with no sampling or estimation. - **Cross-browser coverage** -- Full support for all browsers including Safari, Chrome, Edge, Firefox, and others. - **13 months of data retention** -- Enables trend analysis, seasonal comparisons, and long-term performance tracking. - **SLA violation detection** -- Monitors third-party scripts against performance thresholds and flags violations. - **Proactive alerts** -- Anomaly AI detects performance degradation and sends alerts before shoppers are impacted. - **Unified monitoring and optimization** -- RUM data feeds directly into Yottaa's optimization tools (Application Sequencing, Cache Experience) for closed-loop performance management. - **Context Intelligence** -- Applies tailored optimizations based on browser, device, traffic source, and geographic location identified through RUM data. --- Source: [Track Every Shopper and Every Session with Real User Monitoring](https://www.yottaa.com/resources/solution-sheets/track-every-shopper-with-rum) --- --- title: "Web Performance Cloud" type: Solution Sheet source_url: https://www.yottaa.com/web-performance-cloud/ date: February 2026 --- # Web Performance Cloud Close the loop between visibility, action, and impact. Web Performance Cloud brings end-to-end website performance visibility, built-in optimization controls, and business impact measurement together in one platform, purpose-built for digital commerce. Powered by Hybrid Real User Monitoring (RUM), it unifies browser, edge, and origin data to show how performance issues affect real shopper journeys and connects improvements directly to business impact — so sites are faster, more reliable, and more conversion-ready. With Web Performance Cloud, digital commerce teams can: - Diagnose issues faster - Prioritize high-impact actions - Reduce performance firefighting - Align teams around one truth ## Key Differentiators - **Hybrid RUM** — Unified browser, edge, and origin data to pinpoint where your performance issues live. - **Conversion Zone** — Identify the site speed thresholds where shoppers convert most. - **AI-Ready Foundation** — Built on an AI-structured data model with native MCP access — powering conversational insights today and autonomous workflows tomorrow. ## Platform Capabilities ### Full-spectrum visibility - Revenue-connected analytics - Measurable ROI - Cross-team alignment - AI-powered intelligence - Built-in optimization controls ### Monitor with Complete Visibility See the full, real-world performance story with Hybrid RUM — unifying browser, edge, and origin data to reveal where issues start and how they impact shoppers. - CDN cache visibility, edge tracking, and browser-level views - Coverage across all browsers, devices, geos, and connection types - Soft-navigation filtering for Single Page Applications (SPA) ### Take Action, Confidently Clear, actionable performance insights paired with built-in optimization controls help teams resolve critical issues faster, without guesswork or lengthy development cycles. - Third-party optimized loading and critical page caching - Personalized, natural language insights via YoBot AI assistant - Core Web Vitals with element-level diagnostics - AI-powered anomaly detection and automated alerts ### Prove Business Impact Tie technical metrics directly to business outcomes. See which performance trends correlate with commercial metrics, helping teams prioritize high-impact improvements. - Third-party impact ratings and vendor intelligence - Conversion Zone insights specific to your site - Benchmark performance against relevant peers Customer quote: "Milliseconds make millions. Our 33.1% speed boost isn't abstract. It's real dollars when you look at conversion impact." — Jordan Katz, VP of eCommerce, The Sak --- Source: https://www.yottaa.com/web-performance-cloud/ --- --- title: "Core Web Vitals: Optimize Site Speed, SEO Rankings, and Conversions with Yottaa" type: Solution Sheet source_url: https://www.yottaa.com/resources/solution-sheets/achieve-core-web-vitals-success note: "This solution sheet shares content with 'Achieve Core Web Vitals Success'" --- # Core Web Vitals: Optimize Site Speed, SEO Rankings, and Conversions with Yottaa ## Why Core Web Vitals Matter Core Web Vitals (CWV) are Google's standardized metrics for measuring real-world user experience on the web. They directly impact SEO rankings and ad performance across three key dimensions: - **Largest Contentful Paint (LCP)** -- Measures loading performance. Good scores are under 2.5 seconds. - **Cumulative Layout Shift (CLS)** -- Measures visual stability. Good scores are under 0.1. - **Interaction to Next Paint (INP)** -- Measures interactivity and responsiveness. Good scores are under 200 milliseconds. ## The Cost of Failing Core Web Vitals Failing CWV creates a cascade of problems across the business: - **SEO penalties** -- Poor CWV scores lower search rankings, reducing organic traffic and visibility. - **Marketing inefficiency** -- Lower rankings and degraded ad performance mean higher acquisition costs and wasted spend. - **User dissatisfaction** -- Slow, unstable pages frustrate shoppers and drive them to competitors. - **Operational overload** -- Without clear diagnostics, teams spend excessive time troubleshooting performance issues with limited results. ## How Yottaa Addresses Core Web Vitals ### Diagnose and Track CWV in Real Time - **Comprehensive Monitoring** -- Continuously tracks LCP, CLS, and INP across pages, devices, and browsers using real-user data. - **Root Cause Analysis** -- Identifies the specific resources, third-party scripts, and page elements causing CWV failures. - **Real-Time Alerts via Anomaly AI** -- Detects performance anomalies and flags issues before they impact shoppers or rankings. ### Optimize CWV Performance - **Application Sequencing** -- Prioritizes the loading order of third-party scripts so critical content renders first, improving LCP and INP scores. - **Cache Experience** -- Leverages intelligent browser caching to serve returning visitors faster, reducing load times and improving CLS stability. ## Value Delivered - **Improved SEO rankings** -- Meeting CWV thresholds helps maintain and improve organic search positioning. - **Higher marketing ROI** -- Better page experience scores improve ad quality ratings and reduce cost per acquisition. - **Enhanced shopper experience** -- Faster, more stable pages keep shoppers engaged and moving through the funnel. - **Measurable ROI** -- Up to 10% lift in conversions from optimized site performance. - **Time savings** -- Automated diagnostics and optimization reduce the manual effort required from development and operations teams. ## Results - Up to **30% faster** page loads - Up to **10% higher** conversion rates --- Source: [Achieve Core Web Vitals Success](https://www.yottaa.com/resources/solution-sheets/achieve-core-web-vitals-success)