14 Best A/B Testing Tools That Integrate with Google Analytics 4

Best for: Mid-market optimization teams and agencies who want full two-way GA4 integration

What is Convert?

Convert is a full-stack A/B testing and experimentation platform founded in 2009. It supports client-side and server-side testing, multivariate tests, split URL experiments, and feature flagging.

It’s trusted by CRO teams, agencies, and growth-focused companies who want enterprise-grade testing without enterprise-style pricing or vendor lock-in.

How Does Convert Integrate with GA4?

Convert’s GA4 integration is one of the most complete on the market:

• Event-based sync: Each time a visitor is bucketed, Convert fires an experience_impression event to GA4.
• Variant audiences: GA4 audiences for each variant (Control/Variation) are created automatically so you can segment in reports.
• Custom dimensions: Experiment IDs and variation IDs can be stored in GA4 for use in Explorations and dashboards.
• BigQuery export: If your GA4 property is linked to BigQuery, you can combine Convert’s experiment data with ecommerce or behavioral data for deeper insights.
• Setup options: Enable directly in Convert at the project level or push experiment details into the GTM dataLayer and forward to GA4.

What this enables in practice: GA4 Explorations, path analysis, and downstream reporting on revenue or retention using the same dimensions your analytics team already works with.

What are Convert’s Key Features for Experimentation?

• Client-side and server-side experiments: Run frontend and backend tests, plus manage feature flags for safe rollouts.
• Visual editor with instant deploys: Make no-code page changes and push winning variations live without developer bottlenecks.
• 40+ targeting filters and custom logic: Segment audiences by source, device, geography, cookies, dataLayer, or custom JavaScript rules.
• Flexible stats engines with SRM detection: Choose Frequentist, Bayesian, or Sequential testing and catch sample ratio mismatches automatically.
• Multi-armed bandit allocation: Dynamically route more traffic to winning variants while experiments are still running.
• Convert Signals™ session replays: Capture rage clicks, errors, and UX friction tied directly to experiments for faster diagnosis.
• 90+ integrations: Native connectors for GA4, Adobe, Segment, HubSpot, and major CDPs and analytics platforms.
• Privacy-first compliance: First-party cookies, GDPR, CCPA, and HIPAA support baked into experiment delivery.

Who Uses Convert?

Convert is used by:

• SaaS and ecommerce teams scaling experimentation
• Agencies who value the “all features included” pricing and white-label-friendly setup
• Developers and CRO specialists needing API flexibility, SPA support, and privacy-first compliance

Users consistently highlight reliable support, transparent pricing, and no hidden upsells as reasons they stick with Convert.

How Much Does Convert Cost?

Convert pricing starts at $299/month (billed annually) with a 15-day free trial. Features like server-side testing, SRM detection, and integrations (including GA4) are not gated in pricing tiers.

Best for: Enterprise-grade experiments with strong GA4 synergy

What is Optimizely?

Optimizely is one of the most established platforms for digital experience optimization, combining A/B testing, multivariate testing, and feature flagging in a single system. It offers two core products: Web Experimentation for client-side testing and Feature Experimentation for server-side rollouts.

How Does Optimizely Integrate with GA4?

For GA4 users, the key is how seamlessly Optimizely connects experiment data with Google Analytics. Variants and audiences can be auto-synced into GA4, and impressions are passed as events so you can analyze test results alongside traffic, conversions, and revenue in GA4 or BigQuery.

• Built-in report generation: That sends experiment variation audiences into GA4 automatically, removing the need to create custom dimensions manually. 
• GTM-based integration: For more control, you can route events via Google Tag Manager. Optimizely supports setting up exp_variant_string and Holdback variables in GTM to push variation data. 
• Audience targeting from GA4: In Web Experimentation, you can import GA4 audiences, which allows targeting experiments based on segments built in GA4.

What are Optimizely’s Key Features for Experimentation?

• Client-side A/B and multivariate tests: Build and launch experiments through the WYSIWYG visual editor without coding.
• Server-side experiments and feature flags: Use SDKs for Java, Python, Go, JavaScript, mobile, and more to run backend tests and controlled rollouts.
• In-memory bucketing and low latency: Deliver microsecond decisioning with deterministic, server-side bucketing.
• Real-time audience segmentation: Target using CDP and ODP data, with flexible flag deliveries for gradual rollouts.
• Warehouse-native scorecarding: Run statistical analysis directly on data warehouses like BigQuery and Snowflake.
• APIs and webhooks: Automate experiment management and integrate results into your workflows.

Who Uses Optimizely?

Mostly enterprise companies, particularly brands with large volumes and complex experimentation needs. Optimizely is popular in industries like tech, SaaS, retail, and financial services.  

G2 reviews praise its robust experimentation features and dynamic segmentation, but also criticize its steep price and contractual complexity.  

How Much Does Optimizely Cost?

Optimizely does not publish pricing publicly. You’ll need to contact sales for a quote. User reports suggest plans start around $36,000 per year, with costs scaling higher for large traffic volumes and enterprise features.

Best for: Teams who want strong GA4 audience sync plus full-stack experimentation

What is VWO?

VWO (Visual Website Optimizer) is an experimentation and feature management platform. Its “Feature Experimentation” (formerly VWO Fullstack) combines A/B testing, progressive rollouts, feature flags, and personalization in one system. It supports experiments across web, mobile, and backend environments.

How Does VWO Integrate with GA4?

• Bidirectional audience sync: You can import GA4 audiences into VWO for targeting campaigns, and export VWO campaign variation audiences into GA4. 
• Push experiment data as events/dimensions: VWO tags visitors with experiment and variation IDs and pushes that into GA4 so you can analyze behavior per variant. 
• GTM option: If your GA4 is deployed via GTM, VWO supports integration via GTM, sending VWO experiment data via data layer variables and custom tags.

What are VWO’s Key Features for Experimentation?

• Visual editor for web experiments: Run A/B tests and UI tweaks without coding.
• Feature experimentation system: Unified framework for flags, experiments, and personalization in one place.
• SDK support: Client- and server-side SDKs for multiple platforms.
• REST APIs for automation: Manage campaigns, variations, and reporting programmatically.
• Data warehouse support: Export experiment data into BigQuery, S3, and other cloud storage.
• Progressive rollouts and personalization: Includes kill switches and targeting for safer, smarter deployments.

Who Uses VWO?

VWO has a broad user base across marketing, product, and optimization teams. It’s often used by teams that want both visual experimentation and backend feature flag capabilities. Because of its design, it can appeal to mid-market through enterprise customers wanting a unified platform.

How Much Does VWO Cost?

VWO prices its products and capabilities in modules, that is, they’re billed separately. Past a certain number of monthly tested users, you’d have to contact sales for custom pricing. That said, the cheapest offering, VWO Testing, starts free.

Best for: Best for compliance-conscious enterprises

What is Kameleoon?

Kameleoon is an experimentation and personalization platform that blends A/B testing, feature flagging, and dynamic personalization into a unified system. It supports both web experiments (client-side) and full-stack/feature experimentation (server-side, SDK-driven) for flexible use across your front-end and back-end.  

One distinguishing aspect is Kameleoon’s emphasis on AI-driven predictive metrics (e.g., Conversion Score™) and deep analytics integration, so experiment insights can influence downstream personalization and remarketing.

How Does Kameleoon Integrate with GA4?

• Native, two-way integration: Kameleoon can automatically create GA4 audiences when experiments launch, and archive them when experiments end. 
• Event streaming to GA4: Kameleoon supports “Event Streaming” to send exposure and variation events into GA4 (via measurement protocol/batching) for experiment reporting. 
• Sync goals and custom metrics: It sends campaign goals (clicks, scrolls, pages viewed) into GA4. It also allows syncing its proprietary Conversion Score™ to GA4 for remarketing or deeper segmentation. 
• GA4-to-Kameleoon audience import: You can pull in audiences built in GA4 into Kameleoon for targeting experiments or personalization. This uses a bridge: Kameleoon shares its visitor code, then fetches GA4 audience membership via APIs.

What are Kameleoon’s Key Features for Experimentation?

• Visual, no-code editor: Build and personalize web experiments without developer reliance.
• Hybrid and full-stack support: Run both client- and server-side tests in the same framework.
• Feature flags and rollout controls: Manage new releases with percentage rollouts, rollbacks, and safe deployments.
• AI predictive metrics: Conversion Score™ and predictive targeting surface likely winners early.

Who Uses Kameleoon?

Kameleoon is used by larger brands and enterprises looking for experimentation and personalization in one unified platform. It tends to appeal to organizations that already have experimentation maturity and want to layer in smarter analytics, AI, and unified data flows.

How Much Does Kameleoon Cost?

Kameleoon requires you to contact them for custom pricing.

Best for: Teams that need server-side control and deep GA4 data linkage without client-side overload

What is SiteSpect?

SiteSpect is an experimentation tool with real-time analytics, so teams can see how GA4 segments respond as tests run. It has personalization and optimization features as well. This all sits in the traffic flow (proxy architecture), enabling both client-side and server-side tests, content transformations, and routing logic. It modifies requests/responses inline rather than relying solely on injected tags or SDKs.

How Does SiteSpect Integrate with GA4?

• WATTS (Web Analytics Tag Transformation & Segmentation): SiteSpect’s WATTS engine dynamically injects campaign and variation identifiers into your existing GA4 tags (or analytics tags) right before they fire, so GA4 sees experiment context alongside your normal analytics. 
• GTM / dataLayer push method: The WATTS output can be pushed into dataLayer via script so that GTM workflows can pick up SiteSpect’s GUID, campaigns, variation IDs, and forward them into GA4 events or custom dimensions. 
• GA4 audience-driven targeting (bi-directional): You can import GA4 audiences into SiteSpect and sync them to experiment audiences so GA4 segments can gate or trigger experiments. 

What are SiteSpect’s Key Features for Experimentation?

• Visual editor for client-side changes: Modify HTML, CSS, or JS directly, with full SPA/PWA support.
• Hybrid experimentation: Coordinate client- and server-side experiments under one system.
• GA4 custom dimension macros: Over 40 macros to push SiteSpect campaign data into GA4 for detailed segmentation.
• No performance overhead: Proxy-based delivery eliminates flicker and latency.
• Feature flagging and rollout support: Built-in controls for gradual releases, rollbacks, and safe rollouts.

Who Uses SiteSpect?

Organizations operating at scale, with high traffic, complex architecture (microservices, SPAs, PWA), or strict performance/latency constraints often adopt SiteSpect.

Because it can handle server-side logic, content transformation, and proxying, it attracts product/engineering teams who can’t afford client-side bloating or tag management overhead.

How Much Does SiteSpect Cost?

SiteSpect is offered via custom contracts. You’ll need to contact sales for detailed pricing.

Best for: Shopify-powered stores that want experimentation with built-in GA4 support

What is Shoplift?

Shoplift is a no-code A/B testing and optimization tool built specifically for Shopify stores. It plugs into your theme and lets you run funnel experiments, theme swaps, and split-URL tests without developer lift, while also providing built-in reporting and analytics.

How Does Shoplift Integrate with GA4?

• Shoplift offers a GA4 integration (Beta): when enabled, it sends an experience_impression event to GA4 each time a visitor is bucketed into a test variant.
• It also auto-creates GA4 audiences for the original and variant experiences, so you can segment in GA4 reports.
• In Shopify settings, Shoplift asks for permission to edit your GA4 configuration so that it can write audiences for you.
• For Shopify merchants using GA4 via GTM or alternative setups (e.g., Elevar), Shoplift provides alternative configuration paths.

What are Shoplift’s Key Features for Experimentation?

• Theme swap and URL tests: Run experiments on full pages or template changes without touching code.
• Funnel and checkout experiments: Test variations across key ecommerce conversion paths, including add-to-cart and checkout.
• Lift Assist™ recommendations: AI-driven suggestions highlight the highest-impact tests to prioritize.
• Shopify-native audience targeting: Segment and target experiments based on Shopify-specific context and attributes.
• Built-in reporting: Variant performance is visualized directly within Shoplift’s dashboards for quick readouts.

Who Uses Shoplift?

Shopify merchants (small to mid-sized brands) who want more conversion optimization without hiring engineers. Teams that prefer a tight integration with Shopify rather than bringing in a general experimentation platform.

How Much Does Shoplift Cost?

Shoplift operates on a subscription model. Pricing is tiered by store volume and features, starting at $74/month for up to 50K monthly store visitors. There’s a 14-day free trial.

Best for: Teams wanting a balance of experimentation, personalization, and analytics via GA4

What is AB Tasty?

AB Tasty is a digital experimentation and personalization platform that supports both web and server-side testing, feature rollouts, and content personalization. Its Feature Experimentation & Rollout (FE&R) module combines flags, experimentation, and rollout controls in one tool.

It is often positioned as a tool for marketers and product teams who also need enough depth to collaborate with engineering.

How Does AB Tasty Integrate with GA4?

• Push integration to GA4: AB Tasty can send experiment and variation event data into GA4. This includes parameters like abtasty_campaign and abtasty_variation as custom dimension values.
• Pull GA4 audiences into AB Tasty: You can import GA4 audiences to use as targeting segments in AB Tasty campaigns.
• BigQuery + GA4 linkage: AB Tasty’s GA4 integration often works alongside BigQuery exports, enabling you to join GA4 data with experiment data for deeper analysis.
• Integration Hub and connectors: AB Tasty’s integration hub supports push/pull connectors with analytics, CDPs, and warehouses, making it easier to move test data to GA4-compatible stores. 

What are AB Tasty’s Key Features for Experimentation?

• Visual editor and WYSIWYG changes: Run client-side experiments without coding, ideal for marketing and growth teams.
• Feature experimentation and rollout controls: Manage flags, gradual releases, and kill switches through the FE&R module.
• Server-side support with SDKs and APIs: Extend experimentation to backend logic and dynamic applications.
• Mutually exclusive experiments: Prevent conflicts when multiple tests run concurrently on the same pages or flows.
• Integration Hub connectors: Push experiment data, import GA4 or CDP audiences, and export to warehouses.
• AI-assisted workflows: Generate test ideas, summarize reports, and create content suggestions to accelerate velocity.

Who Uses AB Tasty?

AB Tasty is used by marketing, CRO, and product teams in mid-market to enterprise digital businesses looking for both ease of use and advanced features. It especially appeals to teams wanting a unified experimentation and personalization tool that integrates with their analytics stack (including GA4).

How Much Does AB Tasty Cost?

They do not publish their pricing. You’ll need to contact their sales team.

Best for: Teams wanting a warehouse-native A/B tool that plays well with GA4 data

What is GrowthBook?

GrowthBook is an open-core experimentation and feature flagging platform that decouples decision logic from analytics. It supports running experiments and serving flags via SDKs, while its analysis engine runs on your own data (SQL warehouse, BigQuery, etc.). You can use it purely for feature flags or combine it with experiment analysis.

How Does GrowthBook Integrate with GA4?

• Via BigQuery as a bridge: You link GA4 to BigQuery, then connect GrowthBook to that BigQuery dataset. GrowthBook can then run experiments using GA4 event tables. 
• Automatic experiment exposure events: The HTML/JS SDK can detect GA4 or GTM presence and send experiment_viewed events (with experiment_id & variation_id) automatically. 
• Custom trackingCallback possible: You can override or augment the default trackingCallback to send more detailed variant data into GA4 or other analytics.

What are GrowthBook’s Key Features for Experimentation?

• REST / API and integrations: You can configure and manage experiments, metrics, environments via APIs and connect to other tools (Slack, Datadog, GitHub, etc.) 
• Deterministic bucketing and local evaluation: Experiments are evaluated client-side (or via SDK) locally without requiring a network call for each decision. 
• Performance optimizations: The JS SDK supports streaming updates (SSE), remote evaluation, caching, and minimal overhead. 
• Statistical engines and analysis flexibility: You pick your engine (Bayesian, Frequentist, Sequential), native support for CUPED, multiple corrections (Benjamini-Hochberg, Bonferroni), and quality checks (SRM).

Who Uses GrowthBook?

GrowthBook is used by teams who prefer controlling their data stack (analytics + experiments) rather than handing over data to a vendor. It appeals to engineering-forward organizations, data teams, and privacy-conscious teams. Because it’s open-source with optional managed hosting, it’s also adopted by startups through mid-market users.

How Much Does GrowthBook Cost?

Because GrowthBook is open-source and offers hosting or self-hosting, its cost is more flexible. The core platform is free to use (self-hosted), but advanced or managed services carry $20/user/month up to enterprise custom pricing.

Best for: Teams that want to forward experiment exposures and custom events into GA4 for unified reporting

What is Statsig?

Statsig is a modern experimentation and feature management platform that unifies product experimentation, feature flags, analytics, and session replay. It’s built for engineering and product teams to run controlled experiments, roll out features safely, and measure impact using rich event data.

How Does Statsig Integrate with GA4?

• Forwarding exposures and events to GA4: Statsig’s GA4 integration enables forwarding logged exposures and custom events from Statsig’s SDKs into a configured GA4 data stream.
• Single library integration: With the GA4 connector, you can avoid maintaining separate analytics instrumentation, since Statsig can forward its audit logs and exposures directly.
• Joining GA data in Warehouse Native: If you export GA4 data to BigQuery, you can connect that with Statsig’s Warehouse Native to define metric sources and run experiments using GA-derived user behavior.
• Configurable event filtering and enriched parameters: You can filter which Statsig events go to GA4, and include custom user attributes, experiment name, variant, and session identifiers in forwarded events.

What are Statsig’s Key Features for Experimentation?

• Rich SDK ecosystem: Supports 30+ platforms (client, server, edge) for running experiments and evaluating feature flags.
• Autocaptured events: Logging-ready exposures and conversions with minimal manual instrumentation.
• Unified feature flags and experiments: Manage rollouts and experiments in a single framework.
• Warehouse-native integration: Connect directly with your data stack for deeper analysis and reporting.
• Session replay and analytics: Tie experiment results to real user behavior for better context and debugging.

Who Uses Statsig?

Product teams that want tight coupling between feature release logic and experiment measurement often adopt Statsig. It is popular with startups, scale-ups, and engineering-driven companies that prefer a unified tool rather than stitching multiple systems together.

How Much Does Statsig Cost?

Statsig starts free and goes to $150/month for the Pro plan with more events, session replays, and more.

Best for: Teams that treat feature flags and experimentation as code, and want to push exposure data into GA4

What is Split?

Split is a feature flag and experimentation platform built for engineering and product teams. It lets you control feature rollout logic, run experiments via SDKs and feature flags, and measure impact using backend event data. It emphasizes treating experiments as part of your application logic rather than injecting them via scripts.

How Does Split Integrate with GA4?

• Analytics and export integrations: Supports sending impression and exposure data to analytics systems via native connectors.
• Event API and custom events: You can programmatically send events to Split via its Events API (for clicks, conversions, pageviews, etc.), and metrics in Split can be built on those events.
• Segment and audience definitions: You can define segments (audiences) in Split via its API or UI and use them for flagging or experiment targeting. These segments can mirror or align with GA4 audiences for consistency.
• Feature-flag and experiment data in analytics: Because flag evaluations are part of your app logic, you can tag variant IDs or flag decisions along with your normal analytics payloads (e.g., GA4 events) so you can join experiment exposure with user behavior in GA4.

What are Split’s Key Features for Experimentation?

• Feature flags and experiments: Drive experiments directly from flags, with consistent treatments across SDKs.
• REST API, Admin API, and SDKs: Manage flags, audiences, environments, and reporting programmatically.
• Event tracking and metrics engine: Send custom events via the Events API and define experiment success metrics.
• Analytics and warehouse integrations: Export experiment data to GA4, warehouses, and CDPs for unified analysis.
• Progressive rollouts and safety controls: Enable gradual rollouts, kill switches, and safe rollbacks of features.

Who Uses Split?

Split is used by engineering-first organizations and feature-driven product teams that treat experiments and flags as part of the codebase.

Companies that have multiple services, microservices, mobile and web stacks, or strict reliability and performance needs often adopt Split for its consistency and control.

How Much Does Split Cost?

Split uses a usage-based, tiered pricing model (not fully public). Costs typically scale with the number of impressions, flag evaluations, and environments. For details, you must contact their sales team. You can create a free account and access core features.

Best for: Teams that want to treat experiments as feature flags and link flag data into GA4

What is LaunchDarkly?

LaunchDarkly is a feature management and experimentation platform built primarily for software engineering teams. LaunchDarkly treats experiments as controlled feature rollouts (feature flags) that you manage within your code.

It supports SDKs across client, server, and edge contexts, tie-ins to your deployment flow, and lets you decouple release from feature enablement.

How Does LaunchDarkly Integrate with GA4?

• Custom event forwarding: You can send LaunchDarkly feature-flag evaluation events (e.g., which variation a user saw) into GA4 by emitting them via your analytics instrumentation or via an integration approach (e.g., via a middleware that captures flag evaluation).
• Zapier integration: For non-dev use cases, there is a Zapier integration connecting LaunchDarkly to GA4, allowing feature-flag events or triggers to be forwarded automatically without custom code. 
• Integration framework and webhooks: LaunchDarkly supports an integration framework where you can subscribe to flag events and push them to external systems (such as analytics platforms). 

What are LaunchDarkly’s Key Features for Experimentation?

• Push to analytics destinations: You can stream variant and flag data into GA4 (or any analytics stack) for unified reporting. 
• Integration framework: LaunchDarkly’s integration framework lets you build or use “synced segments” integrations that subscribe to flag/variation events and push them into third-party platforms.
• Context and segment sync: They help maintain alignment between your experimentation logic and analytics segments (e.g., consistency in audiences). 
• SDK-level event sending and flag reasons: Supports sending custom events and flag evaluation “reasons” (why a user was assigned a variation).

Who Uses LaunchDarkly?

LaunchDarkly is used by engineering-led organizations that treat releases and feature control as core to their infrastructure. Product teams working on mobile/web apps, SaaS platforms, and distributed systems leverage it to experiment safely and deliver features progressively. Many mid-size to enterprise teams value its maturity, ecosystem, and scalability.

How Much Does LaunchDarkly Cost?

LaunchDarkly offers tiered plans. The Developer plan is free (with limited usage quotas) and suits small teams or exploration. The Foundation plan starts around $12/month per service connection for more features and scale. Higher tiers are custom and require contacting sales.

Best for: Lightweight websites and optimization teams that want fast experiments with minimal performance overhead and solid GA4 alignment

What is Mida.so?

Mida is a lightweight A/B testing platform for web pages, built for speed and simplicity. It supports visual and code-based experiments, split URL tests, and basic feature flagging. It explicitly claims “easy GA4 integration” in its marketing, meaning it’s positioned for users who want experiments tied into GA4 without heavy infrastructure.

How Does Mida.so Integrate with GA4?

Its integration relies on forwarding experiment exposures and variant metadata into GA4 events and audiences.

What are Mida.so’s Key Features for Experimentation?

• Visual and code editors: Create and edit variations without developer dependency.
• Split URL and redirect testing: Test alternate pages or templates.
• Feature flagging and toggles: Basic rollout control to turn variants on/off.
• Lightweight instrumentation: Very small script footprint to reduce bias and performance impact.
• Advanced targeting rules and segmentation: Criteria such as device, geography, or custom logic.
• AI-assisted variation suggestions: Mida claims to use AI to help generate test ideas.

Who Uses Mida.so?

Mida is ideal for smaller sites or brands that prioritize site speed and want a lightweight experimentation tool. Marketing teams with limited engineering support who want to spin up tests quickly also use it.

How Much Does Mida.so Cost?

Mida.so has a free-forever plan. Paid plans start from $199/month (billed annually) for 25K monthly tested users (MTUs) and grow according to MTUs all the way to custom pricing.

Best for: Teams running popups, on-site campaigns, or journey experiments that still want GA4 alignment

What is OptiMonk?

OptiMonk is a tool focused on pop-ups, on-site messaging, overlays, and journey-based experiments. It’s less of a full experimentation platform and more of a behavioral messaging and conversion tool with test capabilities.

How Does OptiMonk Integrate with GA4?

• OptiMonk automatically pushes necessary campaign events to Google Analytics, but you need to set up custom event tags in GTM to measure campaign performance properly in GA4.
• Its analytics/campaign analytics ability can ingest purchase events from GA4 for order tracking and revenue in its reports.
• It forwards campaign events including om_campaign_event with properties such as campaign_name, action (shown, filled, close, etc.), and variant name/ID.
• For Shopify integrations, OptiMonk also can fetch order data directly from Shopify or via GA4 to compute metrics like average order value.

What are OptiMonk’s Key Features for Experimentation?

• Popups, overlays, and onsite messaging campaigns: Build and launch targeted engagement campaigns.
• Variant testing of campaign creatives: Run A/B tests on content, designs, and triggers.
• Campaign performance dashboards: Track impressions, conversions, and assisted revenue.
• Revenue and attribution analytics: Measure direct and assisted revenue impact of campaigns.
• Integration via GTM and analytics forwarding: Send OptiMonk campaign data into GA4 for unified reporting.
• Behavioral triggers: Activate campaigns using exit-intent, scroll depth, or custom behaviors.

Who Uses OptiMonk?

Marketers, growth teams, and eCommerce sites wanting to experiment with messaging and CTAs (rather than deep structural changes). Useful for upsell popups, campaign overlays, banners, and lead capture tests.

How Much Does OptiMonk Cost?

OptiMonk starts free for 10K pageviews per month, after that it’s $19/month (billed yearly) and higher as your pageviews grow.

Best for: Beginner-friendly A/B testing and behavior analytics with GA4 sync

What is Crazy Egg?

Crazy Egg is a conversion optimization toolkit combining heatmaps, session recordings, surveys, popups, and basic A/B testing. It’s often used by smaller teams who want visual behavior insight and test capability without heavy infrastructure.

How Does Crazy Egg Integrate with GA4?

• Custom event forwarding: Crazy Egg sends a custom event to GA4 when a user views a variant in an A/B test. That event includes properties for the test name, test ID, variant name, and variant ID.
• GTM support: If GA4 is installed via Google Tag Manager, Crazy Egg offers an integration JSON import and instructions so variant events flow correctly through GTM into GA4.
• GA4 segmentation & metrics: Once variant events are in GA4, you can slice experiment results by user dimensions (device, country, campaign, etc.), compare page performance metrics across variants, and integrate with GA4 funnels/audiences.

What are Crazy Egg’s Key Features for Experimentation?

• Simple A/B testing interface: Test page variants (copy, layout, headlines) with minimal setup.
• Heatmaps and session recordings: Visualize engagement by experiment group to understand behavior behind results.
• Multiple conversion goals per test: Track variant performance across different KPIs and conversion metrics.
• Integrated analytics and reporting: View exposures, visits, pageviews, and conversions all in one place.
• Lightweight instrumentation: Install via script or GTM for a quick and low-complexity setup.

Who Uses Crazy Egg?

Crazy Egg is favored by smaller companies, agencies, and lean optimization teams who want behavioral insights and A/B testing without overengineering. It’s especially popular in contexts where full experimentation suites would be overkill.

How Much Does Crazy Egg Cost?

Crazy Egg starts from $29/month, but only annual billing is accepted. It offers a free 30-day trial.