Apptimize vs Optimizely vs Explore (2026): Mobile SDK vs Store Revenue
Apptimize is a mobile-first cross-platform A/B testing SDK built for iOS and Android product teams, with feature flags in the same product. Optimizely Web Experimentation is the enterprise A/B testing standard, built for engineering-led programmes at scale. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs product, cart, and checkout experiments measured in revenue per visitor.
- Apptimize is a mobile-first cross-platform A/B testing and feature management SDK, with true iOS, Android, React Native, and web experiments through one instrumentation, and holds a 4.3 out of 5 G2 rating. [G2, 2026]
- Optimizely Web Experimentation is the enterprise A/B testing standard with full-stack rigor and feature flags, and holds a 4.2 out of 5 G2 rating. [G2, 2026]
- The two tools solve different problems at different scales: Apptimize fits mobile product teams shipping app releases; Optimizely fits enterprise engineering programmes running hundreds of concurrent tests.
- Neither has a visual editor for a Shopify store (Apptimize has none at all), native checkout templates, or revenue per visitor as a native metric, which is where store revenue is actually decided.
- Omniconvert Explore runs A/B, multivariate, and personalization experiments natively on Shopify product, cart, and checkout, measured in revenue per visitor: pick it when the goal is store revenue, not a mobile-app or enterprise-web experiment programme.
Teams comparing Apptimize vs Optimizely are usually choosing between two very different testing platforms with very different centres of gravity: a mobile-first cross-platform SDK on one side, an enterprise engineering standard for web and full-stack testing on the other. Apptimize leads with a single SDK that runs consistent experiments across iOS, Android, React Native, and web, paired with feature flags. Optimizely leads with a mature visual editor, full-stack rigor, and enterprise scale. Both are real testing tools, but neither is built around the surfaces where a Shopify store wins or loses revenue: the product page, the cart, and the checkout, which is what Omniconvert Explore is built for.
What is Apptimize, and what is it actually good at?
Apptimize is a mobile-first cross-platform A/B testing and feature management platform. It runs one experiment consistently across iOS, Android, React Native, and web through a single SDK, and it pairs testing with feature flags in the same product. It holds a 4.3 out of 5 rating on G2 across 35 reviews. [G2, 2026]
Apptimize is a testing tool built around a mobile product team's workflow. Its SDK is the centre of the product: one instrumentation, one experiment definition, one release logic across native apps and web, so a pricing change or an onboarding variant behaves the same way on iOS and on Android. Server-side testing is native to the platform. [Apptimize, 2026]
The platform has no visual editor; every experiment goes through the SDK, which means engineering time is required for each test. Native Shopify integration is not part of the product, and there are no eCommerce templates for cart or checkout experiments. Apptimize fits a mobile product roadmap and a growth team that ships app releases, not a store optimising the product-to-checkout path on the web.
Cross-platform mobile A/B testing is the practice of running one experiment across native iOS, Android, React Native, and web from a single SDK, so a variant behaves consistently on every platform a user might touch. Apptimize does this well for mobile-app product organisations. It is a delivery layer for mobile experiments, distinct from running a controlled revenue experiment on the Shopify product, cart, and checkout surfaces.
Where Apptimize is genuinely strong
- True cross-platform experiments: one SDK, one experiment definition across iOS, Android, React Native, and web.
- Testing plus feature flags in one platform: release logic and experiment logic live in the same product.
- Server-side testing native: full server-side experimentation without a separate module.
- Mobile-first release workflows: a natural fit for teams shipping iOS and Android app releases on a regular cadence.
Where Apptimize hits its ceiling for an eCommerce store
- No visual editor: every experiment requires SDK implementation and engineering time.
- No native Shopify integration: no product-page, cart, or checkout templates for a store on Shopify.
- Low eCommerce focus: the product is oriented around app releases, not around the store funnel.
- No native revenue per visitor outcome: results read as event lifts, not store revenue.
What is Optimizely, and what is it actually good at?
Optimizely Web Experimentation is the enterprise A/B testing standard. It runs visual and full-stack experiments, ships with feature flags and server-side rigor, and integrates with the wider enterprise data stack. It is the largest platform in the category by customer base and holds a 4.2 out of 5 rating on G2 across 401 reviews. [G2, 2026]
Optimizely is a testing platform first and everything else second. Its statistical engine, audience targeting, and full-stack capability let engineers experiment on server logic and not only page markup, which is why the largest enterprise experimentation programmes run on it. [G2, 2026] Feature flags and web tests live in the same product.
The trade-off is scope and cost. Optimizely is priced for enterprise contracts sold through sales, needs technical staff to operate fully, and has no free trial. It is not built around Shopify or checkout revenue: those experiments require custom integration work and a developer sprint before the first test ships.
Full-stack experimentation extends testing beyond page markup to the server, so an engineer can experiment on a pricing rule, a recommendation, or a rollout of a new feature behind a flag. Optimizely does this well for engineering-led product organisations. It is an execution layer for complex product tests, distinct from running a controlled revenue experiment on the Shopify product, cart, and checkout surfaces.
Where Optimizely is genuinely strong
- Enterprise scale and rigor: a proven statistical engine and audience targeting trusted at the largest programmes.
- Server-side and full-stack testing: experiments reach beyond markup into pricing, search, and back-end logic.
- Feature flags in the same product: web experiments and controlled feature rollouts run together.
- Enterprise data stack integrations: connects to warehouses, CDPs, and analytics platforms out of the box.
Where Optimizely hits its ceiling for an eCommerce store
- Enterprise pricing and procurement: custom contracts and no free trial, priced well above mid-market testing tools.
- Developer dependency: full-stack tests need engineers, and even visual tests reward technical staff.
- No native Shopify integration: checkout experiments require custom work and glue code.
- Low eCommerce focus: no product, cart, or checkout templates, and no revenue per visitor as a native metric.
What Apptimize and Optimizely cannot do for an eCommerce store
Apptimize and Optimizely are both real testing platforms, and they share the same gap for a store. Both run credible A/B tests, but neither is built around the surfaces where eCommerce revenue is won or lost, product pages, cart, and checkout, or around the metric that actually matters to a store: revenue per visitor, not a generic click or a top-of-funnel conversion.
Apptimize is oriented towards mobile-app product teams running iOS and Android releases. It has no visual editor and no native Shopify integration, so a growth team testing a Shopify store must ship every experiment through the SDK, add a manual JS integration for web, and cannot run checkout experiments through a marketer-accessible interface. The primary experimentation surface it is built for is a native app, not a store funnel.
Optimizely is built for enterprise engineering and product teams managing large experiment programmes across many services. It is not designed for eCommerce revenue workflows and has no native Shopify integration or checkout templates. Operating it for Shopify CRO means substantial developer involvement, custom integration work, and an enterprise contract before the first test ships.
The two ceilings are different in tone but the same in shape. Apptimize stops at a mobile SDK experiment that never reaches the Shopify checkout without an engineering sprint. Optimizely stops at an enterprise web experiment that needs a developer sprint before it touches the cart. Neither is built around the Customer Value Optimization question: whether the result holds for repeat, high-value buyers rather than a first-session visitor. For the wider debate on how to interpret behavioural data before choosing a testing platform, see Has personalization replaced A/B testing?
The deeper issue is that both tools optimise the execution of a generic test, one for a mobile app, one for an enterprise web programme. They can prove a click moved, but they cannot say whether the store actually made more money. Omniconvert Explore is built on the other side of that gap: experiments run natively on the Shopify product, cart, and checkout, and outcomes are measured in revenue per visitor and order rate. The insight, the experiment, and the revenue metric live in one platform, on the surfaces that carry the store's revenue.
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 margin once discounts and returns are counted, not just moved 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-CLV buyers, 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, 94.2% never show checkout progress, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
A mobile SDK experiment in Apptimize or a web test in Optimizely can prove an event moved, but neither can reach that checkout step, price the loss, or read the fix in revenue per visitor. Explore runs the experiment on the store's real revenue surfaces and reports the outcome in the metric a store actually cares about.
This is what mobile-SDK and enterprise-web testing platforms leave on the table. A variant that lifts an in-app event or a hero-image click 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 optimises for that number directly, and because Customer Value Optimization ties each result back to repeat, high-CLV 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.
Apptimize vs Optimizely vs Explore: the capability comparison
Side by side, the three tools sit at different points on the testing spectrum. Apptimize is a mobile-first cross-platform SDK. Optimizely is an enterprise A/B testing platform with full-stack rigor. Explore adds native Shopify experiments on product, cart, and checkout, and measures the outcome in revenue per visitor. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Apptimize | Optimizely | Omniconvert Explore |
|---|---|---|---|
| Primary function | Cross-platform mobile A/B testing and feature flags | Enterprise A/B testing and feature management | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based across iOS, Android, web | Yes visual editor and full-stack | Yes visual plus code editor |
| Multivariate testing | No not part of the product | Yes | Yes |
| Server-side testing | Yes native to the SDK | Yes full-stack native | Yes |
| Visual editor | No SDK implementation required | Yes less intuitive, technical staff help | Yes built for marketers |
| On-site surveys and overlays | No mobile experiment focus | No testing platform only | Yes surveys and overlays built in |
| Shopify integration | Low no native, manual integration | Low no native, custom build required | Yes native |
| eCommerce focus | Low mobile-app oriented, not eCommerce | Low enterprise-generic, not eCommerce | High built for store revenue workflows |
| Revenue per visitor measurement | No event lifts, not store revenue | No generic conversion metrics only | Yes revenue per visitor and order rate native |
| Pricing model | Custom, contact sales, no free trial | Custom enterprise, contact sales, no free trial | Session-based, built for store traffic, free trial |
| Best for | Mobile product teams shipping iOS and Android releases | Enterprise engineering and product programmes | Shopify and eCommerce teams optimising for revenue |
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. 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 Apptimize or Optimizely?
Decide by where the experiment lives. If a mobile product team wants one SDK across iOS, Android, and web, Apptimize fits. If an enterprise engineering programme runs hundreds of concurrent web and full-stack tests, Optimizely fits. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. That is the surface neither the mobile SDK nor the enterprise web platform is built to touch.
Apptimize and Optimizely are both credible testing platforms with real strengths. Apptimize is the mobile-first SDK, one instrumentation across iOS, Android, and web. Optimizely is the enterprise engineering standard, deep on full-stack testing and feature flags.
The question for a store is narrower: once the test is designed, can it run natively on the Shopify product, cart, and checkout, and can it read the outcome in revenue per visitor rather than a generic click or an in-app event. 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.