Conductrics vs Crazy Egg vs Explore (2026): The Shopify Gap
Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs product page, cart, and checkout experiments and measures the result in revenue per visitor.
- Conductrics is an experimentation platform with A/B and multivariate testing, a visual editor (Conductrics Express), server-side and mobile SDKs, and contextual bandits.
- Crazy Egg is a heatmap and session recording tool with basic two-variant A/B testing, with a 4.2 out of 5 G2 rating across 144 reviews. [G2, 2026]
- The two do very different jobs: Conductrics is a general-purpose experimentation platform with no dedicated Shopify app, Crazy Egg is too light to run real revenue experiments.
- Crazy Egg runs neither multivariate nor checkout experiments on Shopify, nor reports outcomes in revenue per visitor, the metric that decides store revenue; Conductrics runs multivariate tests but lists no Shopify-specific integration.
- Omniconvert Explore is Shopify-native: it runs product page, cart, and checkout experiments and reports revenue per visitor as the primary outcome.
Teams comparing Conductrics vs Crazy Egg are usually asking two very different questions. Conductrics answers the experimentation question: A/B and multivariate tests built in a visual editor or run server-side, plus adaptive bandits. Crazy Egg is picked by marketers who want cheap heatmaps and a light two-variant test on any page. Crazy Egg is not built to run controlled experiments on the Shopify product-to-checkout path measured in revenue per visitor, and Conductrics is general-purpose, with no dedicated Shopify app. This page covers what each does well, the gap they share for an eCommerce store, and when Omniconvert Explore is the right layer.
What is Conductrics, and what is it actually good at?
Conductrics is an experimentation and adaptive optimization platform, launched in 2010. It runs A/B and multivariate tests client-side through a single script tag, with a visual editor called Conductrics Express, and server-side through a REST API and SDKs, at the CDN edge, and in mobile apps. Its predictive agents use contextual multi-armed bandits that can learn without changing the experience or adapt it as results come in. [Conductrics, 2026]
Conductrics covers both sides of a testing program. Its visual editor, Conductrics Express, handles WYSIWYG on-page changes, custom JavaScript, multi-page changes, and redirect tests with QA previews; Conductrics describes it as built for non-technical teams who need to test UI changes. The same experiments can also run server-side through its REST API and libraries for Node.js, Java, and Swift, at the CDN edge, or in iOS, Android, and React Native apps.
The trade-off is focus. Conductrics is a general-purpose optimization platform used across industries, not one built around a store: it lists no Shopify app and no eCommerce-specific features, and its prices are not published, with quotes coming from sales. That breadth suits an organization testing across web, server, and mobile; a team that only tests its Shopify storefront may need less of it.
Multivariate testing changes several elements of a page at once, such as a headline, a hero, and an offer, and measures which element drives the lift and how the elements interact. Conductrics composes multivariate tests from existing tests and reads them through an MVT report and a Main Effects Report, including interaction effects. It is a general-purpose capability, distinct from an experiment program built around Shopify product, cart, and checkout pages and read in revenue per visitor.
Where Conductrics is genuinely strong
- Visual editor and code in one platform: Conductrics Express for WYSIWYG UI changes, alongside server-side, edge, and mobile SDKs for tests beyond the browser.
- A/B and multivariate testing: multivariate tests built from existing tests, with a Main Effects Report that shows which variable drives a lift.
- Contextual bandits: predictive agents that learn in a Listen mode or adapt in an Adaptive mode, with human-readable decision trees showing which visitor traits drove each choice.
- In-experiment surveys: Conductrics Surveys asks questions from NPS to fully custom, matched to the variation each visitor saw.
- Statistical rigor: error-rate control, checks for test interference, corrections for multiple comparisons, and secondary goals used as guardrails.
Where Conductrics hits its ceiling for an eCommerce store
- No dedicated Shopify app: no Shopify-specific integration is listed; Conductrics installs on a store through its script tag, so store tests are set up like any other page test rather than from Shopify's catalog.
- General-purpose, not store-specific: built for any industry, with no eCommerce-specific features listed; reporting product, cart, and checkout tests in revenue per visitor out of the box is Explore's focus.
- Prices through sales: prices are not published, so a store has to request a quote before it can compare plans.
- Breadth a store may not need: server-side, edge, and mobile testing and adaptive bandits cover more surfaces than a team testing only its Shopify storefront may need.
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 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, from $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 Conductrics and Crazy Egg leave open for an eCommerce store
Conductrics and Crazy Egg do very different jobs. One is a general-purpose experimentation platform used across industries, the other is a marketer's diagnostics tool. Crazy Egg is not 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. Conductrics, built for any industry, lists no Shopify app and no eCommerce-specific features.
Conductrics is a broad experimentation platform, and that is a real advantage for an organization testing across web, server, edge, and mobile. It runs A/B and multivariate tests from a visual editor or in code, and its contextual bandits can shift which experience each visitor gets. On a Shopify storefront it installs as it would on any website, through its script tag: no dedicated Shopify app or Shopify-specific integration is listed, so store tests are set up the way any page test is rather than from Shopify's catalog.
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, 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. Conductrics is general-purpose rather than built around the product-to-checkout path. Crazy Egg is too far from a real experiment, and it neither treats the product-to-checkout path as the primary surface nor reports the result in revenue per visitor. For the wider debate about how testing programs actually move revenue, see Has personalization replaced A/B testing?
The deeper issue is where the test sits relative to the store's growth number. Beside Crazy Egg, the CRO lead with a hypothesis about the cart page needs a heavier testing platform to actually run the experiment. Conductrics gives them a visual editor and code-based tests, but as a general-purpose platform it treats the store like any other website, without a dedicated Shopify app. Omniconvert Explore collapses that loop: a visual editor for product page and checkout variants, native Shopify integration, heatmaps, session recordings, and on-site 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 an eCommerce team needs a test to tell it
- 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 tracked event or a click on a heatmap.
- 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, through a Shopify integration rather than a generic install or a separate analytics tool.
- 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 findings show where stores actually lose orders: 99.6% fail to make guest checkout visible and prominent, 94.2% never show checkout progress steps, 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, but Crazy Egg cannot package the fix as a marketer-owned experiment on the Shopify funnel, and Conductrics, a general-purpose platform, reaches a Shopify store through its script tag rather than a dedicated Shopify app. Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor, without a second diagnostic tool between the hypothesis and the result.
This is what the title means by the Shopify gap. A general-purpose experimentation platform without a dedicated Shopify app, or click-level diagnostics, is not the same as a Shopify-native test measured in 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. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Conductrics vs Crazy Egg vs Explore: the capability comparison
Side by side, the three tools sit at very different points on the experiment lifecycle. Conductrics is a general-purpose experimentation platform, with a visual editor, server-side and mobile SDKs, and contextual bandits, used across industries. Crazy Egg is the heatmap and light-testing layer for small teams diagnosing behavior on any page. 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 | Conductrics | Crazy Egg | Omniconvert Explore |
|---|---|---|---|
| Primary function | Experimentation and optimization: A/B and multivariate testing, bandits, targeting | Heatmaps with basic A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual editor plus server-side and mobile SDKs | Partial basic two-variant, single page | Yes visual editor plus code |
| Multivariate testing | Yes with a Main Effects Report | No | Yes |
| Server-side testing | Yes REST API, Node.js, Java, and Swift libraries | No | Yes |
| Visual editor | Yes Conductrics Express, WYSIWYG plus custom JavaScript | No heatmap-first, no editor | Yes WYSIWYG for marketers |
| Heatmaps and session recordings | Partial Contentsquare and Hotjar read its experiments | Yes its core strength | Yes built in beside the experiment |
| On-site surveys and overlays | Yes on-site surveys inside experiments (Conductrics Surveys) | No heatmaps and recordings only | Yes surveys and overlays built in |
| Shopify integration | Partial no dedicated Shopify app; installs through its script tag | Medium installs but no checkout testing | Yes native |
| eCommerce focus | Low general-purpose, not eCommerce-specific | Low small-business diagnostics | High built for store revenue workflows |
| Pricing model | Prices not published, quote from sales | Session-based, from $49/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Teams testing across web, server, edge, and mobile, with adaptive bandits | Small teams wanting heatmaps and light tests | Shopify and eCommerce teams optimizing for revenue |
| User rating | No public G2 rating | 4.2 out of 5 (G2, 144 reviews, as of 2026) | 4.6 out of 5 (G2, 197 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. Conductrics does not publish its prices and quotes through sales, and Crazy Egg is priced for small businesses; neither is designed as a full eCommerce CRO 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 Conductrics or Crazy Egg?
Decide by where the block is. If you need one experimentation platform across web, server, edge, and mobile, with A/B, multivariate, and adaptive bandit testing, Conductrics fits. If you want cheap heatmaps and a light test on any page, Crazy Egg fits. Crazy Egg is not built to run controlled experiments on Shopify product, cart, and checkout, measured in revenue per visitor, and Conductrics lists no dedicated Shopify app. For a store on Shopify, run your next test in Explore, then measure the lift in revenue per visitor.
Conductrics and Crazy Egg do very different jobs well. Conductrics gives teams A/B and multivariate testing from a visual editor or code, plus contextual bandits, across web, server, edge, and mobile. Crazy Egg gives small marketing teams cheap heatmaps and a light two-variant test.
The question for a Shopify store is narrower: once you can see where shoppers stall or split traffic on a page, can you run a controlled experiment on 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 197 reviews, G2 , as of 2026