Croct vs Evergage vs Explore (2026): The Shopify Store Gap
Croct is a personalization and A/B testing platform designed for React and Next.js developers. 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.
- Croct is a developer-first A/B testing and personalization platform for React and Next.js applications, with a 4.7 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]
- Croct and Evergage target very different teams, engineers on React and enterprises on Salesforce, and are rarely direct substitutes for each other.
- Neither runs natively on a standard Shopify Liquid theme or measures results in revenue per visitor on the checkout, which is the surface where store revenue is decided.
- Omniconvert Explore runs experiments on product, cart, and checkout natively and measures results in revenue per visitor: pick it for the Shopify store use case.
Teams comparing Croct vs Evergage are usually weighing two very different playbooks: a developer-first testing library for React and Next.js, or an enterprise personalization suite tied to Salesforce. Croct answers the question for engineering teams building headless storefronts. Evergage answers it for enterprise marketing teams already inside the Salesforce stack. Neither is built around a standard Shopify Liquid checkout, which is the surface Omniconvert Explore is designed for.
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 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 how modern React teams already work: 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 configured 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 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 Croct and Evergage cannot do for an eCommerce store
Croct and Evergage are built for very different teams, engineers on React and enterprises on Salesforce. But they share one gap for a standard Shopify store. Neither runs natively on a Liquid theme or a Shopify checkout, and neither reports the outcome in revenue per visitor on the product-to-checkout path.
Croct is built for React and Next.js developers, so every experiment lives in code and every rollout waits on engineering. It cannot run on a standard Shopify Liquid theme without a headless re-platform, and it has no visual editor for the marketing or CRO team to work on their own. For most Shopify stores, that alone rules it out.
Evergage is built for enterprise marketing teams running real-time personalization across many channels, usually inside Salesforce. Its testing is designed to validate personalization rules, not to run controlled revenue experiments on product, cart, and checkout. A single Shopify store evaluating it takes on enterprise implementation and custom pricing for a personalization-first model.
The two gaps look different but point to the same missing layer. Most testing and personalization tools optimize the execution of a test or a campaign on a generic page. They are not built around where store revenue is actually decided, or around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers. For the wider debate behind this testing-versus-personalization split, 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. Croct is a developer-first testing engine and ships no native heatmaps, session recordings, or on-site surveys. Evergage holds deep behavioral data, but it lives inside an enterprise Salesforce deployment most single stores will never run. 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 steps. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems, the exact surfaces a developer-first React library or an enterprise personalization suite is 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 store gap. A higher click rate or a lifted micro-conversion 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.
Croct vs Evergage vs Explore: the capability comparison
Side by side, the three tools serve different layers. Croct runs component-level tests inside React and Next.js codebases. Evergage personalizes experiences for enterprises in Salesforce. 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 | Croct | Evergage | Omniconvert Explore |
|---|---|---|---|
| Primary function | Developer-first testing and personalization for React and Next.js | Enterprise real-time personalization inside Salesforce | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes component-level in code, no visual editor | Yes within personalization campaigns | Yes visual plus code editor |
| Multivariate testing | No A/B splits only | Yes | Yes |
| Server-side testing | Yes developer API | Yes via SDK | Yes |
| Visual editor | No code-only setup | Yes for personalization campaigns | Yes visual editor plus code editor |
| On-site surveys and overlays | No not part of the product | No personalization, not surveys | Yes surveys and overlays built in |
| Shopify integration | Medium only if the storefront is headless React | Low enterprise implementation | Yes native |
| eCommerce focus | Low React apps, not stores | Medium enterprise personalization | High built for store revenue workflows |
| Revenue per visitor measurement | No generic conversion metrics | No personalization KPIs | Yes revenue per visitor and order rate native |
| Pricing model | Usage-based with a free tier, free trial | Custom enterprise, quote on request | Session-based, built for store traffic, free trial |
| Best for | Engineering teams building headless React or Next.js storefronts | Enterprise teams in the Salesforce ecosystem | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.7 out of 5 (G2, 47 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 Croct or Evergage?
Start with the surface where your revenue is actually decided. If you are building a headless React or Next.js storefront, keep Croct in the codebase. If you already run enterprise personalization inside Salesforce, Evergage earns its place. For a standard Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three are complementary, but only Explore is built for the Shopify checkout where the order closes.
Croct and Evergage are both capable tools within their categories. Croct is a developer-first, component-level testing library that fits how React and Next.js teams already build. Evergage is a G2 Leader for enterprise personalization inside Salesforce, with real-time machine-learning recommendations across many channels.
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, without waiting on engineering time or an enterprise implementation.
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