Convert vs Croct vs Explore (2026): The Shopify Testing Gap
Convert is a privacy-first A/B testing platform for CRO agencies. Croct is a personalization and A/B testing platform designed for React and Next.js developers. 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.
- Convert is a privacy-first A/B testing platform for CRO agencies and general websites, with a 4.7 out of 5 G2 rating. [G2, 2026]
- Croct is a React and Next.js developer-first personalization and A/B testing platform, with a 4.7 out of 5 G2 rating across a smaller review base. [G2, 2026]
- Convert and Croct target opposite ends of the stack: one is for agencies running tests on any website, the other is for engineering teams shipping headless storefronts.
- Neither is built around a standard Shopify checkout on a Liquid theme, and neither measures results in revenue per visitor.
- Omniconvert Explore runs experiments on product, cart, and checkout natively and measures results in revenue per visitor: pick it for Shopify revenue surfaces.
Teams comparing Convert vs Croct are usually deciding between two very different testing philosophies: a privacy-first, agency-friendly A/B tool, or a developer-first personalization engine for React. Convert answers the testing question for general websites without heavy engineering. Croct answers the personalization question for headless teams building on Next.js. Neither is built around the surfaces where a standard Shopify store actually wins or loses revenue, which is where Omniconvert Explore fits.
What is Convert, and what is it actually good at?
Convert is a privacy-first A/B testing platform for CRO agencies and mid-market teams. It supports multivariate testing and advanced targeting, integrates with Google Analytics, and is known for transparent session-based pricing and a no-data-sharing stance. [Convert, 2026]
Convert is one of the most highly rated tools in its category, with a 4.7 out of 5 rating on G2 across 139 reviews. [G2, 2026] It is a favorite among CRO agencies for transparent, session-based pricing and agency-friendly account features, and its support is consistently praised.
The category Convert sits in is practitioner-led web testing. It runs A/B and multivariate tests on general websites, with a strong privacy posture that suits teams handling sensitive traffic. That focus is the point of the product.
Privacy-first testing means the platform avoids sharing experiment data with third parties and minimizes what it collects, which matters for teams under strict compliance requirements. Convert builds this into its product and pricing. It is a separate concern from whether a test runs natively on a store's checkout.
Where Convert is genuinely strong
- Transparent, session-based pricing: predictable costs that agencies and mid-market teams can plan around.
- Strong privacy stance: no data sharing with third parties, useful under strict compliance needs.
- Multivariate and advanced targeting: capable experimentation with granular audience rules.
- Highly rated support and integrations: well-regarded support, with Google Analytics and major analytics connections.
Where Convert hits its ceiling for an eCommerce store
- No native Shopify integration: no eCommerce-specific templates, so store setups are manual.
- Editor is functional, not polished: the visual editor trails VWO and Optimizely for ease of use.
- No built-in behavioral analysis: no native heatmaps or session recordings, so teams add third-party tools.
- Generic conversion focus: results are framed around general conversion, not revenue per visitor.
What is Croct, and what is it actually good at?
Croct is a personalization and A/B testing platform designed for React and Next.js applications. It integrates at the component level, giving frontend engineers a developer-first API for tests, personalization, and feature flags. It is particularly popular with headless eCommerce teams. [G2, 2026]
Croct is a developer-first tool built for a specific stack. It holds a 4.7 out of 5 rating on G2 across 47 reviews. [G2, 2026] Its strength is fitting into how modern React teams already build: tests and personalization live as component props, not as scripts injected on top of a rendered page.
The category Croct sits in is developer-native experimentation for headless frontends. Every experiment is configured in code, which is a feature for engineering teams and a barrier for anyone else. That trade-off is the point of the product.
Component-level testing wires experiments and personalization directly into individual React components rather than through a visual overlay on a rendered page. Croct does this natively for Next.js and React apps. It is a developer-native workflow, distinct from running a controlled revenue experiment on a Shopify Liquid checkout without engineering time.
Where Croct is genuinely strong
- Native React and Next.js integration: fits how modern frontend teams already build.
- Component-level personalization: variants live where the component lives, not as script overlays.
- Developer-first API: version-controlled with the codebase, natural for engineering teams.
- Feature flags included: gates test variants and product rollouts through a single system.
Where Croct hits its ceiling for a Shopify store
- Requires React or Next.js: cannot run on a standard Shopify Liquid theme without a headless re-platform.
- No visual editor: every experiment is set up in code, so marketers cannot ship independently.
- Not accessible to non-technical CRO teams: engineering time is on the critical path for each test.
- No multivariate testing: limited to A/B splits in its testing engine.
What Convert and Croct cannot do for an eCommerce store
Convert and Croct sit at opposite ends of a spectrum, agency-friendly testing on one side and developer-native personalization on the other, 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 metric that matters there: revenue per visitor.
Convert is built for CRO practitioners running tests on general websites. Without native Shopify integration, checkout testing happens through manual implementation, and revenue per visitor is not a native experiment metric. The work of tying a winning variant to checkout revenue still happens by hand.
Croct is built for engineering teams shipping React and Next.js storefronts. A standard Shopify store on a Liquid theme cannot run a Croct experiment without a headless re-platform, which is a bigger project than any single test justifies. For most Shopify merchants, Croct is not really a testing option, it is an architecture decision.
The two gaps differ in nature, but they leave the same store in the middle without a tool: the standard Shopify merchant with a Liquid theme and no dedicated frontend team. Convert asks that team for manual integration work to reach the checkout; Croct asks it to re-platform to headless before writing a single test. For the wider debate behind acting on behavior data, see Has personalization replaced A/B testing?
There is a second gap underneath the first: the data insights layer that tells a team what to test and whether it actually worked. Convert runs experiments but ships no native behavioral analysis, so heatmaps, session recordings, and on-site surveys come from third-party tools. Croct focuses on delivery and does not include a survey or heatmap layer either. Omniconvert Explore builds that data insights layer in: heatmaps, session recordings, and surveys sit next to the experiment, and the same behavioral and customer data defines the segments you test against. The insight and the test live in one place, which is the difference between guessing at a hypothesis and reading it off the store's own data.
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 winning variant raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just lifted a click or a micro-conversion.
- 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 on the way to payment. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems, the exact surfaces a general web tester and a React-only personalizer are not built to experiment on. 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 testing gap. A cleanly executed test on a landing page, or a personalized component further up the funnel, 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 often does not. That is the revenue question Convert and Croct are not built to answer, and the one Omniconvert Explore is. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Convert vs Croct vs Explore: the capability comparison
Side by side, the three tools sit at different points on the same stack. Convert runs clean privacy-first tests on general websites. Croct wires component-level tests into React and Next.js apps. Explore adds native Shopify experiments, built-in 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 | Convert | Croct | Omniconvert Explore |
|---|---|---|---|
| Primary function | Privacy-first general-website A/B testing | Component-level personalization and A/B testing for React and Next.js | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual and code editor | Yes React component-level in code | Yes visual plus code editor |
| Multivariate testing | Yes | No | Yes |
| Server-side testing | Yes | Yes via SDK | Yes |
| Visual editor | Yes functional, not the most polished | No code-based only | Yes plus code editor |
| On-site surveys and overlays | No needs third-party tools | No personalization delivery, not surveys | Yes surveys and overlays built in |
| Shopify integration | Medium not native, manual setup | Medium only via headless React or Next.js | Yes native |
| eCommerce focus | Medium agency and mid-market web | Low developer-first, stack-defined | High built for store revenue workflows |
| Pricing model | Session-based, from $299/mo, free trial | Usage-based, free tier available | Session-based, built for store traffic, free trial |
| Best for | CRO agencies wanting privacy-first testing | Frontend engineering teams building React or Next.js storefronts | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.7 out of 5 (G2, 139 reviews, as of 2026) | 4.7 out of 5 (G2, 47 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. Croct requires React or Next.js and cannot run on standard Shopify Liquid themes without a headless architecture. 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 Convert or Croct?
Choose by architecture. If your engineering team is shipping a Next.js headless build, Croct is the natural fit; if your agency runs privacy-first tests across many client websites, Convert stays valuable. For a standard Shopify store on a Liquid theme, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three sit in different categories, but only Explore is built for the Shopify checkout where the order closes.
Convert and Croct are both capable tools within their categories. Convert is transparent, privacy-first, and agency-friendly. Croct is developer-first and integrates natively into React and Next.js storefronts.
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. 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