How do you define 'tested users'?

A tested user is any visitor included in any experiment (A/B Testing, Personalization, or Survey) and visible in the reporting area. For example, if 500 users see the control page and 500 see the variation page in an A/B test, you consume 1,000 tested users.

Can the Omniconvert code be installed using Google Tag Manager?

Yes, you can install our code using GTM. However, this may slow down code deployment, causing issues like screen flickering during A/B tests or delayed triggering for popups.

Can Omniconvert be used for any type of website?

Omniconvert works for most self-hosted websites, including custom-coded sites, CMS platforms (e.g., WordPress, Joomla, Drupal), and eCommerce platforms (e.g., Shopify, Magento, BigCommerce). The main requirement is access to the source code to paste in Omniconvert's code.

CrazyEgg vs Optimizely vs Omniconvert

Comprehensive comparison of visual analytics, enterprise experimentation, and CRO platforms. Scroll down on the right to view all rows.

Read other comparisons between CrazyEgg and Optimizely.

Optimonk vs Omniconvert Google Content Experiments vs Optimizely Launchdarkly vs Optimizely Sitecore vs Optimizely Apptimize vs Optimizely Convert vs CrazyEgg CrazyEgg vs Hotjar CrazyEgg vs Instapage CrazyEgg vs Unbounce CrazyEgg vs VWO Drift vs Optimizely Dynamic Yield vs Optimizely Evergage vs Optimizely Firebase A/B Testing vs Optimizely Formisimo (Zuko) vs Optimizely Fullstory vs Optimizely Hello Bar vs Optimizely Hotjar vs Optimizely Instapage vs. CrazyEgg Instapage vs. Optimizely Intercom vs Optimizely Kissmetrics vs Optimizely Klaviyo vs CrazyEgg Klaviyo vs Optimizely LaunchDarkly vs Optimizely Mailchimp vs CrazyEgg Mailchimp vs Optimizely Mixpanel vs Optimizely Monetate vs Optimizely Mouseflow vs Optimizely OneSignal vs CrazyEgg OneSignal vs Optimizely Optimizely vs VWO Optimizely vs Convert Experiences Price Intelligently vs Optimizely Profitwell vs Optimizely Profitwell vs CrazyEgg Qualaroo vs Optimizely Split.io vs CrazyEgg Split.io vs Optimizely Sumo vs Optimizely Survicate vs Optimizely Typeform (2012) vs Optimizely Unbounce vs Optimizely Zoho PageSense vs Optimizely

Field	CrazyEgg	Optimizely	Omniconvert	Comparison in Detail (Info)
Website URL This row only identifies the product websites and does not represent a functional difference.	https://crazyegg.com This row only identifies the product websites and does not represent a functional difference.	optimizely.com This row only identifies the product websites and does not represent a functional difference.	omniconvert.com This row only identifies the product websites and does not represent a functional difference.	This row only identifies the product websites and does not represent a functional difference.
Category or type Optimizely operates as a full experimentation and feature rollout platform, whereas Crazy Egg is primarily a visual behavior analytics tool.	Website behavior analytics and conversion optimization toolkit focused on visual insights Optimizely operates as a full experimentation and feature rollout platform, whereas Crazy Egg is primarily a visual behavior analytics tool.	"Digital experience and experimentation website covering web experimentation, feature experimentation, and personalization" Optimizely operates as a full experimentation and feature rollout platform, whereas Crazy Egg is primarily a visual behavior analytics tool.	"Conversion rate optimization website offering A/B testing, split tests, overlays/popups, surveys, personalization, and segmentation for web/e-commerce sites " Optimizely operates as a full experimentation and feature rollout platform, whereas Crazy Egg is primarily a visual behavior analytics tool.	Optimizely operates as a full experimentation and feature rollout platform, whereas Crazy Egg is primarily a visual behavior analytics tool.
Primary use cases Optimizely is designed for structured experimentation and controlled releases, while Crazy Egg focuses on uncovering friction through heatmaps and recordings.	"Observing how visitors interact with pages, uncovering friction with recordings and heatmaps, and running simple A/B tests" Optimizely is designed for structured experimentation and controlled releases, while Crazy Egg focuses on uncovering friction through heatmaps and recordings.	"A/B and multivariate tests across web and apps, full-stack feature experimentation, feature flagging, rollout control, and real-time personalization" Optimizely is designed for structured experimentation and controlled releases, while Crazy Egg focuses on uncovering friction through heatmaps and recordings.	"A/B and split-URL testing for page layout/pricing/UX, on-site personalization, overlays/exit-intent popups, surveys and feedback collection, segmentation-based CRO, and e-commerce optimization " Optimizely is designed for structured experimentation and controlled releases, while Crazy Egg focuses on uncovering friction through heatmaps and recordings.	Optimizely is designed for structured experimentation and controlled releases, while Crazy Egg focuses on uncovering friction through heatmaps and recordings.
Target business size Optimizely is commonly adopted by enterprise product teams, whereas Crazy Egg is more often used by marketing teams optimizing site performance.	Small to mid‑sized businesses that need visual insights to inform quick CRO actions Optimizely is commonly adopted by enterprise product teams, whereas Crazy Egg is more often used by marketing teams optimizing site performance.	"Marketing, product, and engineering teams in mid-market and enterprise organizations that run large experimentation programs" Optimizely is commonly adopted by enterprise product teams, whereas Crazy Egg is more often used by marketing teams optimizing site performance.	Small businesses to medium/large e-commerce and marketing teams needing CRO without heavy infrastructure Optimizely is commonly adopted by enterprise product teams, whereas Crazy Egg is more often used by marketing teams optimizing site performance.	Optimizely is commonly adopted by enterprise product teams, whereas Crazy Egg is more often used by marketing teams optimizing site performance.
Pricing model Optimizely pricing reflects enterprise experimentation programs, while Crazy Egg tiers its plans around tracked pageviews and analytics features.	Tiered monthly subscription plans based on pageviews and features Optimizely pricing reflects enterprise experimentation programs, while Crazy Egg tiers its plans around tracked pageviews and analytics features.	"Enterprise-oriented pricing for Web Experimentation and Feature Experimentation, driven by traffic volume and feature bundles, with request-based quotes" Optimizely pricing reflects enterprise experimentation programs, while Crazy Egg tiers its plans around tracked pageviews and analytics features.	"Tiered SaaS pricing tied to the number of tested users/visitors and active CRO modules (testing, overlays, personalization) " Optimizely pricing reflects enterprise experimentation programs, while Crazy Egg tiers its plans around tracked pageviews and analytics features.	Optimizely pricing reflects enterprise experimentation programs, while Crazy Egg tiers its plans around tracked pageviews and analytics features.
Free plan available Crazy Egg provides a trial-based entry point, while Optimizely typically operates through enterprise sales engagement.	Free 30‑day trial to evaluate the full feature set before subscribing Crazy Egg provides a trial-based entry point, while Optimizely typically operates through enterprise sales engagement.	Free Feature Flagging plan for feature experimentation and a free testing plan described with a visitor cap in the independent pricing analysis Crazy Egg provides a trial-based entry point, while Optimizely typically operates through enterprise sales engagement.	"Free tier for up to a specific visitor volume (up to ~50,000 monthly visitors per Shopify listing) to allow entry-level experimentation without upfront cost" Crazy Egg provides a trial-based entry point, while Optimizely typically operates through enterprise sales engagement.	Crazy Egg provides a trial-based entry point, while Optimizely typically operates through enterprise sales engagement.
Free trial length Crazy Egg offers a defined evaluation period, whereas Optimizely access usually requires a sales-led onboarding process.	Full‑feature access for thirty days with no long‑term obligation Crazy Egg offers a defined evaluation period, whereas Optimizely access usually requires a sales-led onboarding process.	Free plans and trials are structured around visitor limits and product type rather than a single fixed duration Crazy Egg offers a defined evaluation period, whereas Optimizely access usually requires a sales-led onboarding process.	Ongoing free-visitor allowance rather than a fixed-term trial. Base usage allowed until the tested-visitor cap is reached Crazy Egg offers a defined evaluation period, whereas Optimizely access usually requires a sales-led onboarding process.	Crazy Egg offers a defined evaluation period, whereas Optimizely access usually requires a sales-led onboarding process.
Starting price per month Crazy Egg is generally more accessible at entry level, while Optimizely pricing reflects enterprise-scale capabilities.	Entry plans begin in lower monthly ranges suitable for smaller sites Crazy Egg is generally more accessible at entry level, while Optimizely pricing reflects enterprise-scale capabilities.	Public site uses “request pricing” model. Third-party analysis describes tiered pricing with a free testing plan up to 75k visitors per month and discounted overages Crazy Egg is generally more accessible at entry level, while Optimizely pricing reflects enterprise-scale capabilities.	Published starting tiers for small sites/visitors. Publicly referenced entry-level cost for basic traffic levels (though the exact number depends on traffic) Crazy Egg is generally more accessible at entry level, while Optimizely pricing reflects enterprise-scale capabilities.	Crazy Egg is generally more accessible at entry level, while Optimizely pricing reflects enterprise-scale capabilities.
Billing frequency Both follow structured SaaS billing cycles without a major structural difference.	Monthly billing is available on standard plans Both follow structured SaaS billing cycles without a major structural difference.	"Monthly or annual contracts, negotiated through sales and plan selection" Both follow structured SaaS billing cycles without a major structural difference.	Monthly billing based on tested-visitor quota and active CRO product modules Both follow structured SaaS billing cycles without a major structural difference.	Both follow structured SaaS billing cycles without a major structural difference.
Contract term required Optimizely typically involves longer enterprise-style commitments, while Crazy Egg offers more flexibility for smaller teams.	Standard commitments reflect annual billing for most plans Optimizely typically involves longer enterprise-style commitments, while Crazy Egg offers more flexibility for smaller teams.	"Contract-based arrangements are common for experimentation websites, with enterprise terms defined through sales" Optimizely typically involves longer enterprise-style commitments, while Crazy Egg offers more flexibility for smaller teams.	"Subscription-based model with flexibility. Not strictly long-term by default, it depends on the plan and usage levels " Optimizely typically involves longer enterprise-style commitments, while Crazy Egg offers more flexibility for smaller teams.	Optimizely typically involves longer enterprise-style commitments, while Crazy Egg offers more flexibility for smaller teams.
Additional or hidden costs Optimizely costs scale with experimentation scope and traffic, while Crazy Egg pricing increases primarily with tracked pageview volume.	Higher tiers and additional pageviews raise the monthly subscription cost Optimizely costs scale with experimentation scope and traffic, while Crazy Egg pricing increases primarily with tracked pageview volume.	"Additional cost impact from traffic increases, more environments, advanced analytics, and feature management scale" Optimizely costs scale with experimentation scope and traffic, while Crazy Egg pricing increases primarily with tracked pageview volume.	Additional cost increments when visitor/tested-user volume exceeds plan limits or when adding multiple CRO modules (testing + overlays + personalization) Optimizely costs scale with experimentation scope and traffic, while Crazy Egg pricing increases primarily with tracked pageview volume.	Optimizely costs scale with experimentation scope and traffic, while Crazy Egg pricing increases primarily with tracked pageview volume.
Types of tests supported Optimizely supports A/B, multivariate, and server-side testing, whereas Crazy Egg limits experimentation to simpler visual A/B tests.	Visual A/B testing for page elements and layouts Optimizely supports A/B, multivariate, and server-side testing, whereas Crazy Egg limits experimentation to simpler visual A/B tests.	"A/B tests, multivariate tests, multi-page experiments, server-side tests, and feature experiments controlled by flags" Optimizely supports A/B, multivariate, and server-side testing, whereas Crazy Egg limits experimentation to simpler visual A/B tests.	"A/B tests, split URL tests, overlay/pop-up experiments, personalization experiments, survey-backed UX tests, segmentation-based variants " Optimizely supports A/B, multivariate, and server-side testing, whereas Crazy Egg limits experimentation to simpler visual A/B tests.	Optimizely supports A/B, multivariate, and server-side testing, whereas Crazy Egg limits experimentation to simpler visual A/B tests.
Client-side testing support Both rely on client-side scripts, though Optimizely provides more advanced experiment controls.	Built‑in testing via JavaScript snippet with easy setup Both rely on client-side scripts, though Optimizely provides more advanced experiment controls.	Web experimentation delivered through a page snippet for browser-based A/B and multivariate tests Both rely on client-side scripts, though Optimizely provides more advanced experiment controls.	"Client-side experiments and personalization via JavaScript snippet or no-code visual editor, suitable for marketers without deep dev resources " Both rely on client-side scripts, though Optimizely provides more advanced experiment controls.	Both rely on client-side scripts, though Optimizely provides more advanced experiment controls.
Server-side testing support Optimizely includes server-side experimentation capabilities, while Crazy Egg does not extend beyond front-end testing.	Focused on front‑end behavior testing rather than server‑controlled experiments Optimizely includes server-side experimentation capabilities, while Crazy Egg does not extend beyond front-end testing.	"Feature Experimentation product positioned as full-stack experimentation across frontend, backend, mobile, and edge" Optimizely includes server-side experimentation capabilities, while Crazy Egg does not extend beyond front-end testing.	Focus remains on front-end and user journey testing. Server-side experimentation is not emphasized in the main public materials Optimizely includes server-side experimentation capabilities, while Crazy Egg does not extend beyond front-end testing.	Optimizely includes server-side experimentation capabilities, while Crazy Egg does not extend beyond front-end testing.
Feature flagging support Feature flagging is a core capability in Optimizely, whereas Crazy Egg is not designed for controlled feature rollouts.	Not designed as a feature flagging website Feature flagging is a core capability in Optimizely, whereas Crazy Egg is not designed for controlled feature rollouts.	"Dedicated feature flagging and experimentation website with percentage rollout, audience targeting, and kill switches" Feature flagging is a core capability in Optimizely, whereas Crazy Egg is not designed for controlled feature rollouts.	"Primary focus on CRO, testing, personalization, and overlays. Feature-flagging is not prominently described as core in public material " Feature flagging is a core capability in Optimizely, whereas Crazy Egg is not designed for controlled feature rollouts.	Feature flagging is a core capability in Optimizely, whereas Crazy Egg is not designed for controlled feature rollouts.
Traffic allocation methods Optimizely enables structured traffic allocation across variations, while Crazy Egg offers more limited test splitting.	Manual and automated allocation for A/B experiments Optimizely enables structured traffic allocation across variations, while Crazy Egg offers more limited test splitting.	"Traffic allocation through Stats Engine, flexible audience targeting, and percentage-based rollout across variations and features" Optimizely enables structured traffic allocation across variations, while Crazy Egg offers more limited test splitting.	"Traffic/visitor distribution configurable per experiment/variation via visual editor or code, with segmentation and targeting to allocate traffic appropriately " Optimizely enables structured traffic allocation across variations, while Crazy Egg offers more limited test splitting.	Optimizely enables structured traffic allocation across variations, while Crazy Egg offers more limited test splitting.
Targeting and segmentation options Optimizely provides advanced audience targeting tied to experimentation logic, while Crazy Egg applies lighter segmentation within reports.	Behavior‑based segmentation at the page level with basic filters and segments Optimizely provides advanced audience targeting tied to experimentation logic, while Crazy Egg applies lighter segmentation within reports.	"Targeting based on audiences, user attributes, events, environments, and complex rules across channels" Optimizely provides advanced audience targeting tied to experimentation logic, while Crazy Egg applies lighter segmentation within reports.	"Segmentation by geolocation, device type, traffic source, session behavior, user attributes, and e-commerce signals for personalization or test targeting " Optimizely provides advanced audience targeting tied to experimentation logic, while Crazy Egg applies lighter segmentation within reports.	Optimizely provides advanced audience targeting tied to experimentation logic, while Crazy Egg applies lighter segmentation within reports.
Personalization rules engine Optimizely includes dynamic personalization tied to experimentation workflows, whereas Crazy Egg does not offer a robust personalization engine.	Personalization is limited to surface insights via behavior data Optimizely includes dynamic personalization tied to experimentation workflows, whereas Crazy Egg does not offer a robust personalization engine.	"Real-time personalization layer combining audience targeting, AI-driven audiences, and experiment results" Optimizely includes dynamic personalization tied to experimentation workflows, whereas Crazy Egg does not offer a robust personalization engine.	"Personalization through rule-based adjustments (content, overlays, messaging) governed by segmentation and visitor behavior conditions, with a marketer-friendly control panel " Optimizely includes dynamic personalization tied to experimentation workflows, whereas Crazy Egg does not offer a robust personalization engine.	Optimizely includes dynamic personalization tied to experimentation workflows, whereas Crazy Egg does not offer a robust personalization engine.
Recommendation engine available Neither platform is positioned as a recommendation engine, as both focus on optimization rather than automated product suggestions.	No dedicated recommendation engine included Neither platform is positioned as a recommendation engine, as both focus on optimization rather than automated product suggestions.	"Personalization and AI predictive audiences highlighted, with product detail on collaborative recommendation algorithms not explicit in public overviews" Neither platform is positioned as a recommendation engine, as both focus on optimization rather than automated product suggestions.	"Core focus on CRO and UX experimentation. The recommendation engine is not emphasized as an explicit feature in the available material. Personalization is limited to content and layout, not full recommendation system " Neither platform is positioned as a recommendation engine, as both focus on optimization rather than automated product suggestions.	Neither platform is positioned as a recommendation engine, as both focus on optimization rather than automated product suggestions.
Number of concurrent experiments allowed Optimizely supports running multiple concurrent experiments at scale, while Crazy Egg testing capacity is more limited.	Multiple experiments are limited by plan and traffic Optimizely supports running multiple concurrent experiments at scale, while Crazy Egg testing capacity is more limited.	An enterprise-grade experimentation website designed for many concurrent tests managed through Stats Engine and program management features Optimizely supports running multiple concurrent experiments at scale, while Crazy Egg testing capacity is more limited.	The visitor/tested-user quota governs experiment concurrency. Small and midsize sites run multiple experiments simultaneously within plan limits Optimizely supports running multiple concurrent experiments at scale, while Crazy Egg testing capacity is more limited.	Optimizely supports running multiple concurrent experiments at scale, while Crazy Egg testing capacity is more limited.
Built-in reporting depth Optimizely delivers deeper statistical reporting for experimentation programs, while Crazy Egg emphasizes visual interaction insights.	Simplified dashboards with heatmaps and test outcome graphs Optimizely delivers deeper statistical reporting for experimentation programs, while Crazy Egg emphasizes visual interaction insights.	"Rich reporting with Stats Engine, lift charts, significance, experiment dashboards, feature metrics, and real-time analytics integrations" Optimizely delivers deeper statistical reporting for experimentation programs, while Crazy Egg emphasizes visual interaction insights.	"Reporting around test results, conversion metrics, personalization effectiveness, overlay/survey performance, and segmentation-based outcome tracking " Optimizely delivers deeper statistical reporting for experimentation programs, while Crazy Egg emphasizes visual interaction insights.	Optimizely delivers deeper statistical reporting for experimentation programs, while Crazy Egg emphasizes visual interaction insights.
Funnel and journey analysis Optimizely connects funnel analysis directly to experiment outcomes, while Crazy Egg concentrates more on page-level behavior.	Behavior flow insights through session recordings Optimizely connects funnel analysis directly to experiment outcomes, while Crazy Egg concentrates more on page-level behavior.	Experiment-focused funnel and journey analysis supported through Optimizely Analytics and integrations with warehouse native analytics Optimizely connects funnel analysis directly to experiment outcomes, while Crazy Egg concentrates more on page-level behavior.	"Funnel and checkout-flow optimization supported for e-commerce, with analytics tied to tests and overlays to improve conversion paths " Optimizely connects funnel analysis directly to experiment outcomes, while Crazy Egg concentrates more on page-level behavior.	Optimizely connects funnel analysis directly to experiment outcomes, while Crazy Egg concentrates more on page-level behavior.
Revenue attribution capabilities Optimizely ties experiment performance directly to revenue impact, whereas Crazy Egg focuses primarily on behavioral patterns.	Basic conversion metrics tied to A/B results Optimizely ties experiment performance directly to revenue impact, whereas Crazy Egg focuses primarily on behavioral patterns.	"Revenue impact analysis powered through experiment goals, analytics connectors, and a digital experience optimization stack" Optimizely ties experiment performance directly to revenue impact, whereas Crazy Egg focuses primarily on behavioral patterns.	"Conversion tracking, revenue per visitor, average order value, and e-commerce metrics are part of CRO results reporting when tests affect checkout or purchase flows" Optimizely ties experiment performance directly to revenue impact, whereas Crazy Egg focuses primarily on behavioral patterns.	Optimizely ties experiment performance directly to revenue impact, whereas Crazy Egg focuses primarily on behavioral patterns.
Session replay available Crazy Egg provides session recordings for friction analysis, while Optimizely’s strength lies more in experimentation than replay depth.	Session recording for visitor journey replay included Crazy Egg provides session recordings for friction analysis, while Optimizely’s strength lies more in experimentation than replay depth.	Session replay is available through the Optimizely Data website and partner stack from the Contentsquare ecosystem. Core experimentation pages focus more on experiments than replay details Crazy Egg provides session recordings for friction analysis, while Optimizely’s strength lies more in experimentation than replay depth.	"Not emphasized. Omniconvert focuses on experiments, personalization, overlays, and CRO rather than deep session recording or replay analytics in core feature lists " Crazy Egg provides session recordings for friction analysis, while Optimizely’s strength lies more in experimentation than replay depth.	Crazy Egg provides session recordings for friction analysis, while Optimizely’s strength lies more in experimentation than replay depth.
Heatmaps available Crazy Egg stands out with detailed heatmap visualization, while Optimizely treats heatmaps as a complementary feature.	Heatmaps and scrollmaps for click and scroll visualization are core features Crazy Egg stands out with detailed heatmap visualization, while Optimizely treats heatmaps as a complementary feature.	Heatmap functionality is provided through integrations with experience analytics partners rather than as a flagship feature on experimentation product pages Crazy Egg stands out with detailed heatmap visualization, while Optimizely treats heatmaps as a complementary feature.	Heatmaps and scroll maps are mentioned among CRO tools that integrate analytics and user-behavior visualization to help understand conversion bottlenecks and UX friction Crazy Egg stands out with detailed heatmap visualization, while Optimizely treats heatmaps as a complementary feature.	Crazy Egg stands out with detailed heatmap visualization, while Optimizely treats heatmaps as a complementary feature.
Form analytics available Crazy Egg offers clearer form interaction insight, while Optimizely prioritizes structured experimentation over dedicated form analytics.	Form interaction recorded through heatmap and session tools Crazy Egg offers clearer form interaction insight, while Optimizely prioritizes structured experimentation over dedicated form analytics.	Form performance analysis is handled through experiment goals and external analytics connectors rather than a labeled standalone form analytics module Crazy Egg offers clearer form interaction insight, while Optimizely prioritizes structured experimentation over dedicated form analytics.	Form performance is influenced and tracked through experiments and overlays. Form analytics is not separated as a distinct module in the core documentation Crazy Egg offers clearer form interaction insight, while Optimizely prioritizes structured experimentation over dedicated form analytics.	Crazy Egg offers clearer form interaction insight, while Optimizely prioritizes structured experimentation over dedicated form analytics.
Statistical approach Optimizely applies rigorous statistical methodologies to experiments, while Crazy Egg uses lighter statistical evaluation.	Insightful visual signals with basic statistical goals Optimizely applies rigorous statistical methodologies to experiments, while Crazy Egg uses lighter statistical evaluation.	"Proprietary Stats Engine offering false discovery rate control, sample size planning, and guardrails against p-hacking" Optimizely applies rigorous statistical methodologies to experiments, while Crazy Egg uses lighter statistical evaluation.	"A/B testing and split testing evaluation are integrated into the website. Statistical significance is handled by the tool’s analysis engine, built into the CRO suite " Optimizely applies rigorous statistical methodologies to experiments, while Crazy Egg uses lighter statistical evaluation.	Optimizely applies rigorous statistical methodologies to experiments, while Crazy Egg uses lighter statistical evaluation.
Sample size calculator available Optimizely includes formal experiment planning tools such as sample size estimation, while Crazy Egg does not emphasize advanced planning utilities.	Tools help estimate the needed volume to see the impact Optimizely includes formal experiment planning tools such as sample size estimation, while Crazy Egg does not emphasize advanced planning utilities.	The sample size calculator is described as part of the Stats Engine toolkit for feature experimentation Optimizely includes formal experiment planning tools such as sample size estimation, while Crazy Egg does not emphasize advanced planning utilities.	"Experiment setup guided by visitor quotas, while an explicit sample size calculator is not highlighted, segmentation and traffic data help approximate test size needs " Optimizely includes formal experiment planning tools such as sample size estimation, while Crazy Egg does not emphasize advanced planning utilities.	Optimizely includes formal experiment planning tools such as sample size estimation, while Crazy Egg does not emphasize advanced planning utilities.
Experiment duration estimator Optimizely supports structured experiment planning including duration guidance, while Crazy Egg keeps testing setup simpler.	Trial and live tests provide timeline recommendations Optimizely supports structured experiment planning including duration guidance, while Crazy Egg keeps testing setup simpler.	Experiment duration planning supported through Stats Engine guidance and sample size tools Optimizely supports structured experiment planning including duration guidance, while Crazy Egg keeps testing setup simpler.	Duration and traffic-driven experiment timelines managed via tested-user quotas and result tracking rather than an explicit duration estimator UI in public marketing pages Optimizely supports structured experiment planning including duration guidance, while Crazy Egg keeps testing setup simpler.	Optimizely supports structured experiment planning including duration guidance, while Crazy Egg keeps testing setup simpler.
Automatic stopping rules Optimizely provides automated controls for experiment lifecycle management, whereas Crazy Egg offers limited advanced control.	Simple automation directs more traffic to winning variations Optimizely provides automated controls for experiment lifecycle management, whereas Crazy Egg offers limited advanced control.	Automatic decision support in Stats Engine through error rate control and significance rules that guide conclusion timing Optimizely provides automated controls for experiment lifecycle management, whereas Crazy Egg offers limited advanced control.	"Statistical results and traffic thresholds determined the experiment conclusion. The tool requires a manual end-of-test decision after results are reviewed, rather than automated stop logic (as per public feature description) " Optimizely provides automated controls for experiment lifecycle management, whereas Crazy Egg offers limited advanced control.	Optimizely provides automated controls for experiment lifecycle management, whereas Crazy Egg offers limited advanced control.
Support for holdout groups Optimizely supports structured holdout testing within experimentation programs, while Crazy Egg does not provide formal holdout controls.	Behavior segmentation simulates comparison segments Optimizely supports structured holdout testing within experimentation programs, while Crazy Egg does not provide formal holdout controls.	Holdout and ramp-up patterns are supported in feature experimentation for safe rollouts and phased exposure Optimizely supports structured holdout testing within experimentation programs, while Crazy Egg does not provide formal holdout controls.	Control groups or visitor segmentation is possible through targeting rules to isolate a subset of traffic outside experiments or overlays Optimizely supports structured holdout testing within experimentation programs, while Crazy Egg does not provide formal holdout controls.	Optimizely supports structured holdout testing within experimentation programs, while Crazy Egg does not provide formal holdout controls.
CMS integrations Both integrate with CMS platforms, though Optimizely ties integrations more closely to experimentation workflows.	Integrates via tag managers with CMS websites Both integrate with CMS platforms, though Optimizely ties integrations more closely to experimentation workflows.	"Implementation through snippets, SDKs, and integrations with modern CMS and digital experience websites referenced in partner and agency guides" Both integrate with CMS platforms, though Optimizely ties integrations more closely to experimentation workflows.	Browser-agnostic snippet works with major CMS and e-commerce websites. Documented compatibility for Shopify and generic web CMSs Both integrate with CMS platforms, though Optimizely ties integrations more closely to experimentation workflows.	Both integrate with CMS platforms, though Optimizely ties integrations more closely to experimentation workflows.
E-commerce website integrations Optimizely integrates deeply with commerce environments for experimentation, while Crazy Egg focuses on behavioral insight within those sites.	"Works with Shopify, WordPress, and others via plugins" Optimizely integrates deeply with commerce environments for experimentation, while Crazy Egg focuses on behavioral insight within those sites.	Strong presence in retail and commerce experimentation through SDKs and analytics connectors; specific store plugins described in partner content Optimizely integrates deeply with commerce environments for experimentation, while Crazy Egg focuses on behavioral insight within those sites.	"Explicit Shopify app listing and support for e-commerce experiments, checkout flows, overlays, and personalization for online stores" Optimizely integrates deeply with commerce environments for experimentation, while Crazy Egg focuses on behavioral insight within those sites.	Optimizely integrates deeply with commerce environments for experimentation, while Crazy Egg focuses on behavioral insight within those sites.
Analytics integrations Optimizely connects tightly with analytics stacks for validation of test outcomes, while Crazy Egg integrates primarily for contextual reporting.	Integrates with Google Analytics and similar tools easily Optimizely connects tightly with analytics stacks for validation of test outcomes, while Crazy Egg integrates primarily for contextual reporting.	"Integrations with analytics suites, data warehouses, and BI tools; position as warehouse native analytics partner in Optimizely Analytics line" Optimizely connects tightly with analytics stacks for validation of test outcomes, while Crazy Egg integrates primarily for contextual reporting.	"Integrates with standard analytics suites, supports Google Analytics and data-layer events for experimentation and CRO measurement" Optimizely connects tightly with analytics stacks for validation of test outcomes, while Crazy Egg integrates primarily for contextual reporting.	Optimizely connects tightly with analytics stacks for validation of test outcomes, while Crazy Egg integrates primarily for contextual reporting.
CDP or data warehouse integrations Optimizely more clearly supports enterprise data pipelines and warehouse integrations, while Crazy Egg remains lighter in enterprise data connectivity.	Data export capabilities connect to external systems Optimizely more clearly supports enterprise data pipelines and warehouse integrations, while Crazy Egg remains lighter in enterprise data connectivity.	Pre-built connectors for warehouse native analytics and experimentation reporting are called out on the plans page Optimizely more clearly supports enterprise data pipelines and warehouse integrations, while Crazy Egg remains lighter in enterprise data connectivity.	"Data export and integration via analytics connectors or custom data-layer events. No dedicated CDP integration publicly emphasized, but flexible through API/analytics link-ups " Optimizely more clearly supports enterprise data pipelines and warehouse integrations, while Crazy Egg remains lighter in enterprise data connectivity.	Optimizely more clearly supports enterprise data pipelines and warehouse integrations, while Crazy Egg remains lighter in enterprise data connectivity.
Marketing automation or CRM integrations Optimizely connects experimentation results into broader marketing ecosystems, whereas Crazy Egg concentrates on on-site behavior analysis.	Works with marketing stack via integrations Optimizely connects experimentation results into broader marketing ecosystems, whereas Crazy Egg concentrates on on-site behavior analysis.	"Integrations with marketing automation, CRM, and engagement websites are supported through feature experimentation and analytics pipelines" Optimizely connects experimentation results into broader marketing ecosystems, whereas Crazy Egg concentrates on on-site behavior analysis.	Configurable via event tracking and visitor data layers. Overlay/survey results and segmentation can feed into marketing automation or CRM workflows Optimizely connects experimentation results into broader marketing ecosystems, whereas Crazy Egg concentrates on on-site behavior analysis.	Optimizely connects experimentation results into broader marketing ecosystems, whereas Crazy Egg concentrates on on-site behavior analysis.
Tag manager integrations Both can be deployed using standard tag manager implementations.	Tag managers supported for tracking and experiments Both can be deployed using standard tag manager implementations.	"Implementation through tag managers and direct snippet, as documented for web experimentation setup" Both can be deployed using standard tag manager implementations.	Works through snippet or tag manager-based deployment. Compatible with typical tag manager workflows across CMS and e-commerce websites Both can be deployed using standard tag manager implementations.	Both can be deployed using standard tag manager implementations.
API available Optimizely provides APIs that extend experimentation workflows, while Crazy Egg APIs are more focused on analytics export.	API access available for extended customization Optimizely provides APIs that extend experimentation workflows, while Crazy Egg APIs are more focused on analytics export.	"Feature Experimentation and website documentation expose APIs for decisions, events, and configuration " Optimizely provides APIs that extend experimentation workflows, while Crazy Egg APIs are more focused on analytics export.	"API endpoints and integration hooks available under the CRO suite for custom event tracking, segmentation, and experiment management" Optimizely provides APIs that extend experimentation workflows, while Crazy Egg APIs are more focused on analytics export.	Optimizely provides APIs that extend experimentation workflows, while Crazy Egg APIs are more focused on analytics export.
Webhooks available Optimizely supports webhook-driven experiment workflows, while Crazy Egg automation capabilities are comparatively lighter.	Not typical for the core feature set Optimizely supports webhook-driven experiment workflows, while Crazy Egg automation capabilities are comparatively lighter.	Event-driven webhooks are referenced in the developer and integration documentation for automation Optimizely supports webhook-driven experiment workflows, while Crazy Egg automation capabilities are comparatively lighter.	Webhook support and integration with external services are possible via event tracking and custom triggers defined in CRO settings Optimizely supports webhook-driven experiment workflows, while Crazy Egg automation capabilities are comparatively lighter.	Optimizely supports webhook-driven experiment workflows, while Crazy Egg automation capabilities are comparatively lighter.
No code visual editor Both offer visual editors, though Optimizely’s editor supports more complex experimentation use cases.	Visual reports and a simple editor for A/B setup Both offer visual editors, though Optimizely’s editor supports more complex experimentation use cases.	Visual editor for web experiments that allows marketers to create variations without direct code edits Both offer visual editors, though Optimizely’s editor supports more complex experimentation use cases.	"Visual WYSIWYG editor for A/B testing, overlays, personalization, and survey creation, enabling marketer-driven workflows " Both offer visual editors, though Optimizely’s editor supports more complex experimentation use cases.	Both offer visual editors, though Optimizely’s editor supports more complex experimentation use cases.