Crazy Egg vs OptiMonk vs Explore (2026): The Checkout Blind Spot
Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing on any page. OptiMonk is a popup and on-site personalization tool with variant testing for overlays. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, measured in revenue per visitor.
- Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing, and a 4.2 out of 5 G2 rating. [G2, 2026]
- OptiMonk is a popup and on-site personalization platform with A/B testing on overlay variants, and a 4.8 out of 5 G2 rating with native Shopify integration. [G2, 2026]
- Crazy Egg diagnoses the page and OptiMonk interrupts it, but neither runs a controlled test on the product page, cart, or Shopify checkout underneath.
- Neither tool measures results in revenue per visitor, so a winning popup or a lifted click can leave order rate flat.
- Omniconvert Explore adds full-funnel experimentation on product, cart, and checkout, with heatmaps, surveys, and overlays beside it: pick it for Shopify revenue surfaces.
Teams comparing Crazy Egg vs OptiMonk are usually piecing together two halves of the same job: see where visitors struggle, then interrupt them with an offer. Crazy Egg leads with heatmaps and adds a light two-variant test. OptiMonk leads with popups and personalization and tests overlay variants. Both help, and both stop short of the surfaces where a Shopify store actually wins or loses revenue: the product page, the cart, and the checkout. This page covers what each does well, the checkout gap they share, and when Omniconvert Explore is the right layer.
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.
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 recordings. It is a diagnosis layer, distinct from running a controlled revenue experiment on 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, no server-side testing, no 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 is OptiMonk, and what is it actually good at?
OptiMonk is a popup and on-site personalization platform built for eCommerce. It runs exit-intent overlays, welcome offers, cart-recovery messages, and personalized product recommendations, with A/B testing on the popup variants themselves. It integrates natively with Shopify. [OptiMonk, 2026]
OptiMonk is one of the highest-rated eCommerce personalization tools on G2, at 4.8 out of 5 across 248 reviews. [G2, 2026] Its strength is interrupt marketing done well: a large template library, granular trigger rules, and popup experiences that a marketer can build and A/B test without a developer, priced from around $39 per month.
The A/B testing it includes is scoped to popup and overlay variants. Teams can compare headlines, offers, and creative on the interrupt itself, but the tests do not extend to the underlying page layout or the checkout flow beneath the popup.
On-site personalization changes what a visitor sees on a page based on rules or segments: an exit popup with a discount, a returning-customer message, a recommended product block. OptiMonk does this well for overlays and interrupt messaging. It is a personalization layer, distinct from running a controlled revenue experiment on the underlying product, cart, and checkout pages.
Where OptiMonk is genuinely strong
- Popup and overlay library: a wide template set for exit intent, welcome offers, and cart recovery.
- eCommerce personalization: messaging, product blocks, and offers tailored by segment.
- Native Shopify integration: installs and reads store data without engineering work.
- Popup A/B testing built in: compare offers and creative on the interrupt itself.
Where OptiMonk hits its ceiling for an eCommerce store
- Popups only: tests are limited to overlay variants, not page layouts or checkout flow.
- No full-page experimentation: it cannot change or split a product page or cart template.
- No checkout testing: the Shopify checkout sits outside its testing scope.
- Interrupt-oriented outcome: popup conversion is a click on an offer, not revenue per visitor on the funnel.
What Crazy Egg and OptiMonk cannot do for an eCommerce store
Crazy Egg and OptiMonk sit on opposite sides of the same gap. One diagnoses the page, the other interrupts it with an offer, and neither runs a controlled experiment on the product page, cart, or Shopify checkout. Both stop short of the surfaces where store revenue is actually decided, and neither reports the result in revenue per visitor.
Crazy Egg shows clicks and scrolls and adds a simple two-variant test, but that test cannot reach the Shopify cart or checkout, and it has no multivariate or server-side capability. It diagnoses on the surface and experiments only at the edges. Revenue per visitor is not a metric it reports.
OptiMonk is stronger on eCommerce than Crazy Egg, and its A/B testing is real, but its scope is the popup: a headline, an offer, a creative, an exit trigger. What it cannot test is the page and the checkout underneath. A winning exit popup can still leave a broken product-to-checkout path in place, because the popup is where the tool measures, not the funnel.
The two gaps meet in the same place. Crazy Egg tells you where shoppers stall on a product page and adds a light test that cannot reach the flow after it. OptiMonk interrupts those shoppers with a targeted offer and tests only the interrupt. Neither is built around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers. For the wider debate behind acting on behavior data, see Has personalization replaced A/B testing?
The deeper issue is that seeing the friction, interrupting it, and proving the fix live in separate tools. A team reads a heatmap, launches an OptiMonk popup, then still needs a real testing platform to change the product page or checkout and prove the lift on revenue. Omniconvert Explore collapses that loop: heatmaps, session recordings, surveys, and overlays sit next to a full experimentation engine, and the same behavioral and customer data defines the segments you test against. The insight, the interrupt, and the experiment live in one place, on the store's real revenue surfaces.
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. Omniconvert 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 change raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just fired an offer or revealed a click.
- Which surface to test first. Which pages in the funnel (product, cart, checkout) carry the highest revenue impact if tested next, rather than which popup to launch on top of them.
- How it behaves in checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without engineering glue work or a popup layer.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just first-session visitors seeing an interrupt.
Omniconvert benchmarks more than 7,000 eCommerce websites in its CROBenchmark Report 2026, across 248+ audit criteria. The data shows where stores actually lose orders: 99.6% fail to make guest checkout visible and prominent, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
A heatmap can show shoppers stalling on that checkout step, and a popup can hand them a discount to stay, but neither can test the fix on the checkout itself or price the loss in revenue. Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor.
This is what the title means by the checkout blind spot. A recorded rage-click and a winning exit popup can both leave the bank balance flat; what moves it is order rate and average order value along the product-to-checkout path, read as revenue per visitor. Explore optimizes for that number 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.
Crazy Egg vs OptiMonk vs Explore: the capability comparison
Side by side, the three tools sit at different points of the store loop. Crazy Egg diagnoses the page. OptiMonk interrupts it with an offer. Explore adds native Shopify experiments on the underlying product, cart, and checkout, with heatmaps, recordings, surveys, and overlays beside them, measured in revenue per visitor. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Crazy Egg | OptiMonk | Omniconvert Explore |
|---|---|---|---|
| Primary function | Heatmaps with basic A/B testing | Popups and on-site personalization | eCommerce CRO on product, cart, and checkout |
| A/B testing | Partial basic two-variant, single page | Partial popup and overlay variants only | Yes visual plus code editor |
| Multivariate testing | No | Yes on popup variants | Yes across page elements |
| Server-side testing | No | No | Yes |
| Visual editor | No | No template-based popup builder | Yes WYSIWYG for page changes |
| On-site surveys and overlays | No heatmaps and recordings only | Yes its core strength | Yes surveys and overlays built in |
| Shopify integration | Low installs but no checkout testing | High native app, popup-scoped | Yes native, full-funnel |
| eCommerce focus | Low small-business diagnostics | High built for stores, popup-first | High built for store revenue workflows |
| Pricing model | Session-based, from $49/mo, free trial | Session-based, from $39/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Small teams wanting heatmaps and light tests | Stores wanting popup personalization and lead capture | Shopify and eCommerce teams optimizing for revenue |
AliveCor used Omniconvert 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. Crazy Egg is a behavior analytics tool with light testing; OptiMonk is a popup personalization tool with popup-scoped testing. 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 Crazy Egg or OptiMonk?
Decide by which piece of the store loop you need to complete. If you only want low-cost heatmaps or a stronger popup layer, Crazy Egg or OptiMonk will handle diagnosis and interrupt. But neither tests the product page, cart, or checkout underneath. For a Shopify store, run your next test on the product-to-checkout path in Explore, with heatmaps, surveys, and overlays beside it, measured in revenue per visitor.
Crazy Egg and OptiMonk are both useful pieces of the store loop. Crazy Egg is a low-cost heatmap tool with a light test. OptiMonk is a mature popup and personalization platform with strong Shopify integration and a 4.8 out of 5 G2 rating. [G2, 2026]
The question for a store is narrower: once you can see where shoppers struggle and hand them an offer, can you run a controlled experiment on the Shopify product, cart, and checkout and read the result in revenue per visitor. 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, with heatmaps and surveys beside them, then measures the outcome in revenue per visitor, not just clicks.