Amplitude Experiment vs Crazy Egg vs Explore (2026): The Shopify CRO Gap
Amplitude Experiment is a product analytics tool with an experimentation layer, strong when your team already runs on Amplitude. Crazy Egg is a heatmap and session recording tool with a basic two-variant test. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, measured in revenue per visitor.
- Amplitude Experiment is an SDK-based experimentation layer built on Amplitude Analytics, with a 4.5 out of 5 G2 rating across 2,200+ reviews. [G2, 2026]
- Crazy Egg is a heatmap and session recording tool with a basic two-variant A/B test, with a 4.2 out of 5 G2 rating across 144 reviews. [G2, 2026]
- The gap they share is eCommerce: neither runs native experiments on the Shopify product, cart, and checkout path, and neither reports results in revenue per visitor.
- Amplitude Experiment ships variants through code and SDKs and assumes an Amplitude Analytics subscription; Crazy Egg stops at two-variant tests on single pages.
- Omniconvert Explore folds heatmaps, recordings, and surveys into one platform and adds the Shopify-native experimentation neither offers, measured in revenue per visitor.
Teams comparing Amplitude Experiment vs Crazy Egg are usually choosing between two very different diagnostic layers for an eCommerce store. Amplitude Experiment is an experimentation add-on wired into Amplitude's product analytics, built for teams already invested in that stack. Crazy Egg is a heatmap and session recording tool with a light two-variant test. Both are strong at what they do, but neither is built around the surfaces where a Shopify store actually wins revenue, which is where Omniconvert Explore sits.
What is Amplitude Experiment, and what is it actually good at?
Amplitude Experiment is an experimentation layer built on Amplitude Analytics. Experiments read from the same event data your product team already tracks in Amplitude, and results are analysed inside the Amplitude environment using existing cohorts. It is built for product teams already invested in the Amplitude analytics stack. [Amplitude, 2026]
Amplitude Experiment is a product experimentation platform bolted onto one of the most widely deployed analytics tools in SaaS. It holds a 4.5 out of 5 rating on G2 across 2,200+ reviews. [G2, 2026] Its strength is continuity with the analytics layer: experiments target Amplitude cohorts, and results are read against the same event definitions the product team already trusts, in the same dashboard.
Assignment happens through SDKs, with feature-flag style splits and cohort-based targeting. There is a free tier and seat-based pricing, which is helpful for product teams instrumenting a new application.
Analytics-native experimentation runs experiment assignment inside the same platform that already tracks product events, so results appear against existing event definitions and user cohorts without a separate data integration. Amplitude Experiment does this well for teams already on Amplitude Analytics. It is a product analytics and experimentation layer, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages through a marketer-accessible interface.
Where Amplitude Experiment is genuinely strong
- Analytics continuity: experiments read the same events as the rest of the product analytics, in one dashboard.
- Cohort targeting: advanced targeting using Amplitude cohorts already defined by the product team.
- Free tier: seat-based pricing with a real free tier, useful for product teams starting an experimentation habit.
- Established install base: 2,200+ reviews and a mature ecosystem around Amplitude's analytics platform.
Where Amplitude Experiment hits its ceiling for an eCommerce store
- Amplitude Analytics required: the value proposition assumes the store already runs Amplitude, which most $1M to $50M ARR stores do not.
- No visual editor: every variant ships through code and SDKs, not a WYSIWYG for marketers.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- No multivariate testing: A/B experiments only, not factorial designs.
- Product analytics framing: event counts and funnel steps, not revenue per visitor or order rate as the primary outcome.
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 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 that small businesses can start on quickly, from around $49 per month.
- 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 Amplitude Experiment and Crazy Egg cannot do for an eCommerce store
Amplitude Experiment and Crazy Egg approach the store from opposite ends, product analytics on one side and on-page heatmaps on the other, but they share the same shape for a Shopify team. One ships variants through SDKs and reads events in Amplitude; the other reads clicks and scrolls on a single page. Neither is built around product, cart, and checkout as revenue surfaces.
Amplitude Experiment is an add-on layer for existing Amplitude Analytics customers. It has no visual editor and requires developer implementation, and it is not designed for eCommerce checkout flow experiments. A marketer cannot ship a product page test through the Amplitude stack without engineering support, and the value proposition itself assumes the store is already paying for Amplitude Analytics, which most $1M to $50M ARR stores do not run.
Crazy Egg sits at the other end. 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 as part of a program, 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. Both are credible tools in their own category: Amplitude is a serious product analytics platform, and Crazy Egg is a well-liked diagnostic tool for small teams. Neither treats the product-to-checkout path as the primary surface, and neither reports the result 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 in both tools, the person who sees the problem is not the person who can run the fix at scale. A CRO lead reads a Crazy Egg heatmap, forms a hunch about the cart page, and then needs either an engineer to code the Amplitude experiment or a lightweight test that cannot reach the Shopify checkout. Omniconvert Explore collapses that loop: a visual editor for product page and checkout variants, native Shopify integration, heatmaps, session recordings, and surveys in the same platform, and the outcome 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 an Amplitude cohort count or lifted a click on a heatmap.
- 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 checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without SDK glue work or a separate testing tool stapled on top.
- 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.
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 94.2% never show checkout progress steps. [CROBenchmark Report 2026, Omniconvert]
A heatmap can show shoppers stalling on that checkout step, and an Amplitude funnel can count the drop-off, but neither can test the fix or price the loss. 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 Shopify CRO gap. Analytics-linked experimentation and heatmap-led diagnostics are both valuable layers; neither is the same as a lift on the number that pays for the store. 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. A variant that wins on revenue per visitor and holds for high-CLV customers protects profit; a lifted event or a hotter click often does not. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Amplitude Experiment vs Crazy Egg vs Explore: the capability comparison
Side by side, the three tools sit at different points from diagnosis to action on the store funnel. Amplitude Experiment is the experimentation add-on for product teams already living inside Amplitude Analytics. Crazy Egg is the low-cost heatmap tool with a light two-variant test. Explore is the eCommerce CRO platform 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 | Amplitude Experiment | Crazy Egg | Omniconvert Explore |
|---|---|---|---|
| Primary function | Experimentation layer on Amplitude Analytics | Heatmaps with basic A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, requires Amplitude Analytics | Partial basic two-variant, single page | Yes visual editor plus code |
| Multivariate testing | No | No | Yes |
| Server-side testing | Yes SDK-driven | No | Yes |
| Visual editor | No code and SDKs only | No no WYSIWYG for variants | 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 product teams on Amplitude | Low small-business diagnostics | High built for store revenue workflows |
| Pricing model | Seat-based, free tier available | Session-based, from $49/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Product teams already on Amplitude Analytics | Small teams wanting heatmaps and light tests | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.5 out of 5 (G2, 2200 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 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. Amplitude Experiment requires an Amplitude Analytics subscription for most meaningful use; Crazy Egg is a behavior analytics tool first and a testing tool second. 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 Amplitude Experiment or Crazy Egg?
Decide by whether you need to act on what you see. If your product team already runs Amplitude, keep Amplitude Experiment for product analytics. If you want cheap heatmaps, Crazy Egg does that. But for a Shopify store, run your next product, cart, or checkout test in Explore, with heatmaps and surveys beside it, measured in revenue per visitor. Explore turns both diagnostic lenses into a proven revenue change.
Amplitude Experiment and Crazy Egg are both capable in their own categories. Amplitude Experiment is a serious experimentation layer for product teams invested in Amplitude Analytics. Crazy Egg is a low-cost heatmap tool with a light two-variant test for small marketing teams.
The question for a store is narrower: once you can see where shoppers struggle or count the drop-off in a funnel, 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, then measures the outcome in revenue per visitor, not just clicks.
4.6 out of 5 across 191 reviews, G2 , as of 2026