Crazy Egg vs Dynamic Yield vs Explore (2026): Two Extremes, One Blind Spot
Crazy Egg is a heatmap tool with basic two-variant A/B testing at a low entry price. Dynamic Yield is an enterprise personalization and testing platform priced in five- and six-figure contracts. Omniconvert Explore is the Shopify-native eCommerce CRO platform between them: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor.
- Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing, holding a 4.2 out of 5 G2 rating across 144 reviews. [G2, 2026]
- Dynamic Yield is an enterprise personalization and testing platform owned by Mastercard, with custom pricing typically starting in the five-figure annual range and a 4.5 out of 5 G2 rating across 200 reviews. [G2, 2026]
- The two tools sit at opposite ends of the market and share the same blind spot: neither is built for a mid-market Shopify store running self-serve, revenue-measured experiments without an enterprise contract.
- Neither reads outcomes in revenue per visitor on the product-to-checkout path, which is where a store's revenue is actually decided.
- Omniconvert Explore is built for that middle: A/B, multivariate, and server-side experiments on product, cart, and checkout with heatmaps and surveys beside them, priced on sessions and measured in revenue per visitor.
Teams comparing Crazy Egg vs Dynamic Yield are usually looking at opposite ends of the market. Crazy Egg is a cheap starter tool for heatmaps and a light headline test. Dynamic Yield is a Mastercard-owned enterprise personalization stack used by IKEA and McDonald's. Both are strong at what they do, but neither is built for the mid-market Shopify store between them. This page covers what each does well, the 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 entry price. It is accessible to non-technical marketers on any type of website.
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 Shopify 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 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 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 is Dynamic Yield, and what is it actually good at?
Dynamic Yield is an enterprise personalization and A/B testing platform owned by Mastercard since 2022. It runs product recommendation engines, real-time experience optimization, and A/B and multivariate testing across web, mobile, and email. It is used by large retailers including IKEA and McDonald's.
Dynamic Yield is one of the most advanced eCommerce personalization platforms available. It holds a 4.5 out of 5 rating on G2 across 200 reviews. [G2, 2026] Its strength is combining a personalization engine, a testing suite, and cross-channel delivery under one contract, backed since 2022 by Mastercard's data resources.
Pricing is custom and typically starts in the five-figure annual range, with a six-figure ceiling for large accounts. Implementation is a project, not a signup: a dedicated personalization team and developer time are effectively required, and there is no free trial.
A personalization engine uses customer data and machine learning to serve different content, product recommendations, and offers to different visitors in real time, across channels. Dynamic Yield does this at enterprise scale, with a testing suite alongside. It is a delivery-and-experimentation layer built for large retail organizations, distinct from running self-serve, Shopify-native experiments on product, cart, and checkout for a mid-market team.
Where Dynamic Yield is genuinely strong
- Enterprise personalization engine: product recommendations and experience optimization at real-time scale.
- Full testing stack: A/B, multivariate, and server-side testing on top of the personalization layer.
- Cross-channel delivery: web, mobile, and email in one platform.
- Mastercard-backed data resources: additional data assets since the 2022 acquisition, useful for enterprise retail.
Where Dynamic Yield hits its ceiling for an eCommerce store
- Priced for enterprise contracts: custom pricing that typically starts in the five-figure annual range.
- Heavy implementation: a dedicated project, developer resources, and a personalization team are effectively required.
- Over-specified for mid-market: the full personalization stack is a lot to buy when a Shopify store just needs solid A/B testing on checkout.
- Not self-serve: no free trial, and a growth team cannot spin up an experiment without an implementation engagement.
What Crazy Egg and Dynamic Yield cannot do for an eCommerce store
Crazy Egg and Dynamic Yield sit at opposite ends of the market, and they share the same blind spot for a mid-market Shopify store. One is too basic to run a real test on the cart or checkout; the other is too heavy to buy and implement without an enterprise budget. Neither is built for the working middle, where most Shopify stores actually live.
Crazy Egg is primarily a heatmap and session recording tool. Its A/B testing capability is limited to simple two-variant tests on single pages and 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.
Dynamic Yield sits at the other end. It is an enterprise platform built for large retail organizations with dedicated personalization teams, and it is not designed for mid-market Shopify brands running self-serve CRO experiments. The implementation complexity and pricing make it inaccessible for eCommerce teams that need to run tests on product pages and checkout flows without a six-figure contract and a developer team.
The gap the two tools share is the mid-market eCommerce store: too big for a starter heatmap tool that stops at the cart, too small for a six-figure personalization contract that needs a dedicated implementation project. Both stop short of the same middle path: a Shopify store running self-serve, revenue-measured experiments on product, cart, and checkout without an enterprise commitment.
Omniconvert Explore is built for exactly that middle. Explore runs A/B, multivariate, and server-side experiments on the Shopify funnel, with heatmaps, session recordings, and surveys next to the experiments, and it reads the outcome in revenue per visitor and order rate rather than clicks or impressions. Nothing about the setup requires a professional-services engagement or a five-figure annual commitment. For the wider debate behind acting on behavior data, see Has personalization replaced A/B testing?
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 a click or a personalized banner impression.
- Which surface to test first. Which pages in the funnel (product, cart, checkout) carry the highest revenue impact if tested next, without a heatmap-based hunch or a six-figure implementation.
- How it behaves in checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without engineering glue work or an enterprise professional-services engagement.
- 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 or a broad personalization audience.
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 prominent, and 94.2% do not show checkout progress steps. [CROBenchmark Report 2026, Omniconvert]
A heatmap can show shoppers stalling on that step, but Crazy Egg cannot test the fix. An enterprise personalization contract like Dynamic Yield can, in theory, but at a cost and complexity that keeps most Shopify stores from ever starting. 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 two extremes and one blind spot. A rage-click seen in a Crazy Egg recording or a personalized product recommendation delivered by an enterprise stack can 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 Dynamic Yield vs Explore: the capability comparison
Side by side, the three tools cover very different ground. Crazy Egg is a starter heatmap tool with a light test. Dynamic Yield is a full enterprise personalization stack. Explore is the mid-market eCommerce CRO platform: native Shopify experiments, heatmaps, recordings, surveys, and overlays, priced on sessions. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Crazy Egg | Dynamic Yield | Omniconvert Explore |
|---|---|---|---|
| Primary function | Heatmaps with basic A/B testing | Enterprise personalization and A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Partial basic two-variant, single page | Yes visual editor and personalization engine | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | No | Yes | Yes |
| Visual editor | No | Yes | Yes |
| On-site surveys and overlays | No heatmaps and recordings only | Partial personalization overlays yes, structured surveys no | Yes surveys and overlays built in |
| Shopify integration | Low installs, no checkout testing | High but requires enterprise implementation | Yes native |
| eCommerce focus | Low small-business diagnostics | High enterprise retail | High built for store revenue workflows |
| Pricing model | Session-based, from $49/mo, free trial | Custom enterprise, contact sales, no free trial | Session-based, built for store traffic, free trial |
| Best for | Small teams wanting heatmaps and light tests | Enterprise retail with dedicated personalization teams | Mid-market Shopify teams optimizing for revenue |
| User rating | 4.2 out of 5 (G2, 144 reviews, as of 2026) | 4.5 out of 5 (G2, 200 reviews, as of 2026) | 4.6 out of 5 (G2, 191 reviews, as of 2026) |
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; Dynamic Yield is a Mastercard-owned enterprise personalization platform. 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 Dynamic Yield?
Decide by scale. If you are a small team wanting cheap heatmaps and a headline test, Crazy Egg fits. If you are an enterprise retailer with a dedicated personalization team and a six-figure budget, Dynamic Yield fits. For the mid-market Shopify store between them, run your next experiment on the product-to-checkout path in Explore, measured in revenue per visitor, not clicks or vanity conversions.
Crazy Egg and Dynamic Yield are both capable tools in their own bracket. Crazy Egg is a low-cost heatmap tool with a light test. Dynamic Yield is a Mastercard-owned enterprise personalization stack used by IKEA and McDonald's.
The question for a mid-market Shopify store is narrower: can you run a controlled experiment on product, cart, and checkout, read the result in revenue per visitor, and do it without either hitting a testing ceiling or signing a six-figure contract. That is the middle 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.
4.6 out of 5 across 191 reviews, G2 , as of 2026