Apptimize vs Crazy Egg vs Explore (2026): Neither Tests the Checkout
Apptimize is a mobile-first cross-platform A/B testing platform: one SDK for iOS, Android, and web. Crazy Egg is a heatmap tool with basic two-variant testing. Neither integrates natively with Shopify or runs checkout experiments. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs product, cart, and checkout experiments and measures results in revenue per visitor.
- Apptimize is a mobile-first cross-platform A/B testing tool that runs experiments across iOS, Android, React Native, and web through one SDK, with a 4.3 out of 5 G2 rating across 35 reviews. [G2, 2026]
- Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing, priced from $49 per month and rated 4.2 out of 5 on G2 across 144 reviews. [G2, 2026]
- The two tools sit on opposite corners: mobile SDK infrastructure and web heatmap diagnostics, yet share the same blind spot for a store.
- Neither runs experiments natively on the Shopify product page, cart, or checkout, and neither reports the outcome in revenue per visitor.
- Omniconvert Explore is a Shopify-native eCommerce CRO platform: it runs A/B, multivariate, and checkout experiments through a visual editor, with heatmaps and surveys beside them, and measures the result in revenue per visitor.
Teams comparing Apptimize vs Crazy Egg are usually weighing two very different toolkits: one is a mobile-first SDK tester built for iOS and Android product teams, and the other is a heatmap and session recording tool with a basic two-variant test. Apptimize is strong at running the same experiment across native apps and web through a single SDK. Crazy Egg is strong at cheap, visual behavior data for small teams. Neither is built around the surfaces where a Shopify store actually wins or loses revenue, and this page covers what each does well, the gap they share, and when Omniconvert Explore is the right layer.
What is Apptimize, and what is it actually good at?
Apptimize is a mobile-first cross-platform A/B testing and feature management platform. One SDK covers iOS, Android, React Native, and the web, so a single experiment can run with consistent logic across every surface. It is built for mobile product teams shipping a native app alongside a web experience. [Apptimize, 2026]
Apptimize is one of the few platforms that runs a single experiment across iOS, Android, React Native, and web with the same assignment logic. It holds a 4.3 out of 5 rating on G2 across 35 reviews. [G2, 2026] Its strength is consistency across surfaces: a mobile product team can define a variant once and see how it behaves on every client without a separate testing tool per platform.
The platform pairs A/B testing with feature flag management, so shipping and rolling back a variant sit in the same workflow as running the test. Assignment happens through SDKs; there is no visual editor for web pages.
Cross-platform A/B testing runs one experiment with shared assignment and metric logic across native iOS, Android, and web clients, using an SDK on each surface. Apptimize does this well for mobile product teams. It is a mobile-first delivery layer paired with feature flags, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages through a marketer-accessible interface.
Where Apptimize is genuinely strong
- True cross-platform testing: one experiment across iOS, Android, React Native, and web with shared logic.
- Feature flag management: shipping and rollback of variants sits inside the same workflow as the test.
- Mobile product focus: built for teams whose primary revenue surface is a native app, not a website.
- SDK-based server and client testing: covers both native and server-side experiment logic.
Where Apptimize hits its ceiling for an eCommerce store
- No visual editor: every web variant needs SDK implementation, not a WYSIWYG a marketer can use.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- Mobile-first, not store-first: the product is designed around a native app funnel, not a Shopify storefront.
- No multivariate testing: the platform does not run MVT natively.
- Generic outcome model: no concept of revenue per visitor as a first-class metric on the store funnel.
What is Crazy Egg, and what is it actually good at?
Crazy Egg is a heatmap and session recording tool with lightweight A/B testing. It shows where users click, scroll, and engage on a page, and includes a basic two-variant test in every plan at a low price point. It is accessible to non-technical marketers. [Crazy Egg, 2026]
Crazy Egg is a behavior analytics tool first and a testing tool second. It holds a 4.2 out of 5 rating on G2 across 144 reviews. [G2, 2026] Its strength is making click, scroll, and engagement data easy to see for teams without an analyst, at an entry price that starts around $49 per month with a free trial.
The A/B testing it includes is deliberately simple: single-page, two-variant tests. That suits a marketer who wants to try one headline against another, not a program of experiments across a funnel.
A heatmap aggregates where visitors click, move, and scroll on a page into a visual overlay, so a team can see attention and friction at a glance. Crazy Egg does this well and pairs it with session recordings. It is a diagnosis layer, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages.
Where Crazy Egg is genuinely strong
- Heatmaps and scroll maps: a clear, visual read on where clicks and attention land.
- Session recordings: watch real sessions to see where users hesitate.
- Low entry price: accessible plans that small businesses can start on quickly.
- Basic A/B testing included: a simple two-variant test in every plan for light experiments.
Where Crazy Egg hits its ceiling for an eCommerce store
- Testing is basic: no multivariate testing, server-side testing, or advanced audience targeting.
- No checkout experiments: it cannot run tests on Shopify product, cart, or checkout flows.
- Analytics first: teams serious about CRO outgrow its experiment features quickly.
- Generic conversion focus: no concept of revenue per visitor as a tested outcome.
What Apptimize and Crazy Egg cannot do for an eCommerce store
Apptimize and Crazy Egg come at experimentation from opposite corners, and end up sharing the same blind spot for a store. One is engineering-owned mobile SDK infrastructure. The other is a marketer-friendly heatmap tool with a light headline test. Neither is built around the surfaces where eCommerce revenue is won or lost, product pages, cart, and checkout, or around the metric that matters there: revenue per visitor.
Apptimize is mobile-first and designed for teams running iOS and Android apps alongside a web experience. On a Shopify storefront, that focus flips into a gap: web experiments require the same manual SDK implementation as the mobile clients, without any native Shopify connector, and there is no marketer-accessible interface for a cart or checkout test. The winning variant on the mobile app rarely reaches the Shopify checkout without a separate web build.
Crazy Egg comes at it from the other side. It is primarily a heatmap and session recording tool, and its A/B testing capability is limited to simple two-variant tests on single pages. It cannot run experiments on Shopify checkout flows, product pages, or cart sequences. Teams using Crazy Egg for eCommerce CRO can diagnose problems visually but cannot run the revenue-focused experiments needed to fix them.
The gap the two share is the eCommerce one. Apptimize can run a controlled experiment but not on the store surface a marketer needs to touch. Crazy Egg can see the friction on that surface but not run a real experiment against it. Neither reports the outcome in revenue per visitor. For the wider context on how testing programmes actually move revenue, see Has personalization replaced A/B testing?
The deeper issue is that seeing a problem, testing a fix, and reaching the checkout live in three separate places. A CRO lead reads a heatmap or a recording, forms a hunch about the cart, and then has no way to prove it: Crazy Egg does not run that test, and in Apptimize the same fix becomes a mobile-team SDK ticket. Omniconvert Explore collapses that loop: heatmaps, session recordings, and surveys sit next to a full experimentation engine, native Shopify integration reaches the product-to-checkout path, and outcomes are measured in revenue per visitor. The person who owns the store's growth number owns the test.
eCommerce conversion rate optimization (CRO) is the practice of running controlled experiments on the revenue surfaces of an online store, product pages, cart, and checkout, and measuring the result in revenue per visitor and order rate rather than generic conversion rate. Explore is defined as an eCommerce conversion rate optimization platform for product, cart, and checkout experiments, native to Shopify and priced for store traffic.
What neither tool can tell an eCommerce team
- Did the win move revenue and margin. Whether a variant raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just moved a click or a mobile-app conversion event.
- Which surface to test first. Which pages in the store funnel (product, cart, checkout) carry the highest revenue impact if tested next.
- How it behaves in Shopify checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without a manual SDK build for the storefront.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just for first-session visitors or first-install app users.
Omniconvert benchmarks more than 7,000 eCommerce websites in its CROBenchmark Report 2026, across 248+ audit criteria. The findings show where stores actually lose orders: 99.6% fail to make guest checkout visible and prominent, 94.2% never show checkout progress steps to shoppers, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
Those are fixes a CRO lead can hypothesise, mock up, and want to test today. Crazy Egg can watch shoppers stall on that checkout step but cannot test the fix, and its two-variant single-page tester cannot reach the cart or checkout at all. Apptimize can run the test but only through a mobile-shaped SDK integration, on a web release train set by the app team. Explore runs the experiment on the real revenue surfaces and reports the outcome in revenue per visitor, without either detour.
This is what the title means by neither tests the checkout. A mobile SDK experiment and a static-page heatmap are both real capabilities, but they sit on either side of the surface a Shopify store actually converts on. Explore optimizes for revenue per visitor directly, and because Customer Value Optimization ties each result back to repeat, high-value buyers, the lift it confirms is margin the store keeps rather than traffic it rents. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Apptimize vs Crazy Egg vs Explore: the capability comparison
Side by side, the three tools sit at different points on the experiment map. Apptimize is the cross-platform mobile-first tester for product teams running iOS and Android alongside web. Crazy Egg is the cheap heatmap and light-test entry point for small marketing teams. Explore is the eCommerce CRO layer for the store team that owns product, cart, and checkout, and is judged on revenue per visitor. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Apptimize | Crazy Egg | Omniconvert Explore |
|---|---|---|---|
| Primary function | Cross-platform mobile A/B testing and feature flags | Heatmaps with basic A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based across iOS, Android, and web | Partial basic two-variant, single page | Yes visual editor plus code |
| Multivariate testing | No | No | Yes |
| Server-side testing | Yes supported alongside client SDKs | No | Yes |
| Visual editor | No code and SDKs only | No analytics tool with a light test | Yes WYSIWYG for marketers |
| On-site surveys and overlays | No | No heatmaps and recordings only | Yes surveys and overlays built in |
| Shopify integration | Low no native connector | Medium installs but no checkout testing | Yes native |
| eCommerce focus | Low built for mobile product teams | Low small-business diagnostics | High built for store revenue workflows |
| Pricing model | Custom, contact sales, no free trial | Session-based, from $49/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Mobile product teams testing across iOS, Android, and web | Small teams wanting heatmaps and light tests | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.3 out of 5 (G2, 35 reviews, as of 2026) | 4.2 out of 5 (G2, 144 reviews, as of 2026) | 4.6 out of 5 (G2, 191 reviews, as of 2026) |
AliveCor used Explore to run a structured A/B testing program and achieved +21% conversion rate, +5% revenue per visitor, and 94% statistical relevance across their experiments. [Omniconvert, AliveCor case study]
Competitor ratings, pricing, and plan details reflect publicly listed figures as of 2026 and can change. Apptimize is mobile-first cross-platform testing; Crazy Egg is a heatmap and session recording tool with a light two-variant test. Neither is a Shopify-native eCommerce CRO tool. Explore uses session-based pricing; see the Omniconvert pricing page for current plans.
Get the full CROBenchmark data behind these stats: 7,000+ websites, 15+ industries, 248+ audit criteria, 100+ CRO experts. See exactly where eCommerce growth teams are losing margin in 2026.
Get the CROBenchmark ReportFrequently Asked Questions
Should you choose Explore over Apptimize or Crazy Egg?
Decide by who owns the test. If mobile is your primary product, Apptimize covers iOS, Android, and web through one SDK. If you want the cheapest heatmaps and a light headline test, Crazy Egg fits. But neither ships a Shopify cart or checkout experiment your marketing team can run this week. For a store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor.
Apptimize and Crazy Egg are both good at what they do. Apptimize brings true cross-platform testing to mobile product teams running iOS and Android alongside a web experience. Crazy Egg brings cheap, visual behavior data and a light two-variant test to small marketing teams.
The question for a store is narrower: once you have a hypothesis about the cart or checkout, can a CRO lead ship the variant, measure the result in revenue per visitor, and answer whether the win holds for high-value repeat customers, without waiting on an engineering ticket or discovering the tool cannot reach that page. That is the surface Explore is built for.
Stop guessing.
Start testing what moves revenue.
Explore runs A/B, multivariate, and personalization experiments on your product pages, cart, and checkout, then measures the outcome in revenue per visitor, not just clicks.
4.6 out of 5 across 191 reviews, G2 , as of 2026