Crazy Egg vs Evergage vs Explore (2026): The Shopify Revenue Blind Spot
Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing. Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization suite. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor rather than generic conversion rate.
- 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]
- Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization suite with a 4.3 out of 5 G2 rating. [G2, 2026]
- Crazy Egg and Evergage sit at opposite ends of the market, cheap diagnosis versus enterprise personalization, and are rarely direct substitutes for each other.
- Neither is built around the Shopify checkout or measures results in revenue per visitor, the surfaces where store revenue is decided.
- Omniconvert Explore runs experiments on product, cart, and checkout natively and reports results in revenue per visitor: pick it for Shopify revenue surfaces.
Teams comparing Crazy Egg vs Evergage are usually choosing between opposite ends of the tooling market: a cheap heatmap tool with light testing, or an enterprise personalization suite tied to Salesforce. Crazy Egg answers the diagnosis question for small teams; Evergage answers the personalization question for enterprises. Neither is built around 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 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 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 on any page.
- Session recordings: watch real sessions to see where users hesitate or drop off.
- Low entry price: accessible plans from around $49 per month 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 quickly outgrow its experiment features.
- Generic conversion focus: no concept of revenue per visitor as a tested outcome.
What is Evergage, and what is it actually good at?
Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization platform. Its machine learning builds a live profile of each visitor to serve individualized product and content recommendations across web, email, mobile, and in-store, connected to the Salesforce CDP. [G2, 2026]
Evergage is a personalization engine first and a testing tool second. It was named a G2 Leader for personalization engines, holding a 4.3 out of 5 rating across 94 reviews. [G2, 2026] Its strength is delivering the right experience to the right visitor in the moment, at scale.
Its A/B and multivariate testing exists to validate personalization campaigns: which rule, audience, or recommendation performs best. That is a different job from running a standalone conversion experiment program on a store's checkout.
Real-time personalization adapts what a visitor sees based on a live behavioral profile, serving individualized content and recommendations as they browse. Evergage does this across channels inside the Salesforce ecosystem. It is an enterprise capability, distinct from running controlled revenue experiments on product, cart, and checkout pages.
Where Evergage is genuinely strong
- Real-time one-to-one personalization: machine learning, not static rules alone, driving individualized experiences.
- Recommendations at scale: machine-learning product and content recommendations across many channels.
- Deep behavioral analytics: rich segmentation connected to the Salesforce CDP and Marketing Cloud.
- Enterprise omnichannel reach: web, email, mobile apps, onsite search, and in-store touchpoints.
Where Evergage hits its ceiling for a single store
- Enterprise implementation: needs technical resources, so it is rarely self-serve for one eCommerce team.
- Custom enterprise pricing: value depends on the broader Salesforce stack, not a standalone store budget.
- Testing serves personalization: A/B testing validates campaigns, not a revenue experiment program.
- No native Shopify checkout: no checkout-level experiment templates for the Shopify funnel.
What Crazy Egg and Evergage cannot do for an eCommerce store
Crazy Egg and Evergage sit at opposite ends of the tooling market, a cheap diagnosis tool and an enterprise personalization suite, but they share one gap for a store. Neither is built around the surfaces where eCommerce revenue is won or lost, product pages, cart, and checkout, or around the metrics that matter there: revenue per visitor, order rate, and the margin a store actually keeps.
Crazy Egg is primarily a heatmap and session recording tool. Its A/B testing is limited to simple two-variant tests on single pages and cannot run experiments on Shopify checkout flows, product pages, or cart sequences. A team using Crazy Egg for eCommerce CRO can diagnose problems visually but cannot run the revenue-focused experiments needed to fix them. The tool shows friction; it does not price it.
Evergage is built for enterprise marketing teams running real-time personalization across many channels, usually inside the Salesforce ecosystem. It is not a Shopify-native CRO tool, and its testing is designed to validate personalization rules rather than to run revenue-per-visitor experiments on product pages, cart, and checkout. A Shopify store evaluating Evergage takes on enterprise implementation and custom pricing when what it often needs is a focused eCommerce experimentation platform.
The two gaps differ in size but point to the same missing layer. One tool observes behavior cheaply and tests at the edges. The other personalizes richly at enterprise cost and tests inside its own campaigns. Neither is built around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers on the store's revenue surfaces. For the wider debate behind the testing-versus-personalization split, see Has personalization replaced A/B testing?
Underneath that gap is a second one: the insight and the experiment live in separate places. A Crazy Egg team can watch a shopper hesitate on checkout in a recording, then has nowhere inside the tool to test the fix. An Evergage team can read deep behavioral segments in Salesforce, then needs engineering time before a product-page variant ships. Omniconvert Explore collapses that loop: heatmaps, session recordings, and surveys sit next to a full experimentation engine, and the same behavioral and customer data defines the segments you test against. The insight and the test 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 revealed a click or lifted a personalization KPI.
- Which surface to test first. Which pages in the 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 engineering glue work.
- 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.
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 a personalization suite can serve them a tailored banner on the way in. Neither can run the controlled experiment that proves a specific fix moved 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 Shopify revenue blind spot. A recorded rage-click or a lifted personalization KPI 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. A variant that wins on revenue per visitor and holds for high-CLV customers protects profit; a variant that only lifts a top-of-funnel click or a personalization engagement rate often does not. That is the revenue question Crazy Egg and Evergage are not built to answer. 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 Evergage vs Explore: the capability comparison
Side by side, the three tools sit at different layers. Crazy Egg diagnoses behavior cheaply and runs a light test. Evergage personalizes at enterprise scale inside Salesforce. Explore adds native Shopify experiments, built-in heatmaps, recordings, surveys, and overlays, and revenue-per-visitor measurement on the product-to-checkout path. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Crazy Egg | Evergage | Omniconvert Explore |
|---|---|---|---|
| Primary function | Heatmaps with basic A/B testing | Enterprise real-time personalization | eCommerce CRO on product, cart, and checkout |
| A/B testing | Partial basic two-variant, single page | Partial within personalization campaigns | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | No | Yes | Yes |
| Visual editor | No no in-page editor | Yes for personalization campaigns | Yes visual plus code editor |
| Heatmaps and session recordings | Yes its core strength | Partial deep analytics, not visual heatmaps | Yes built in beside the experiment |
| Real-time personalization | No | Yes its core strength | Yes on-site overlays and personalization |
| On-site surveys and overlays | No heatmaps and recordings only | Partial personalization overlays, no surveys | Yes surveys and overlays built in |
| Shopify integration | Low installs but no checkout testing | Low enterprise implementation, not native | Yes native |
| eCommerce focus | Low small-business diagnostics | Medium enterprise B2C and B2B | High built for store revenue workflows |
| Revenue per visitor measurement | No behavioral metrics only | No personalization KPIs | Yes revenue per visitor and order rate native |
| Pricing model | Session-based, from $49/mo, free trial | Custom enterprise, quote on request | Session-based, built for store traffic, free trial |
| Best for | Small teams wanting heatmaps and light tests | Enterprise teams in the Salesforce ecosystem | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.2 out of 5 (G2, 144 reviews, as of 2026) | 4.3 out of 5 (G2, 94 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. Evergage is now Salesforce Marketing Cloud Personalization. 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 Evergage?
Decide by the surface where your revenue is decided. If you want a cheap heatmap and a light test, Crazy Egg does the job. If you run enterprise personalization inside Salesforce, Evergage earns its place. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three can coexist, but only Explore tests the checkout where the order actually closes.
Crazy Egg and Evergage are capable tools inside their own markets. Crazy Egg is accessible, visual, and cheap. Evergage is a G2 Leader for enterprise personalization inside the Salesforce ecosystem.
The question for a store is narrower: can your team run a controlled experiment on the Shopify product, cart, and checkout, and read the result in revenue per visitor rather than a click or a personalization KPI. 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.
4.6 out of 5 across 191 reviews, G2 , as of 2026