Amplitude Experiment vs Apptimize vs Explore (2026): Two SDKs vs Store
Amplitude Experiment is a testing layer built on Amplitude Analytics, requiring the Amplitude stack. Apptimize is a mobile-first cross-platform testing tool that runs iOS, Android, and web experiments through one SDK. Both need developer work. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs product, cart, and checkout experiments and measures results in revenue per visitor.
- Amplitude Experiment is a testing layer built on Amplitude Analytics, with a 4.5 out of 5 G2 rating across 2,200+ reviews. [G2, 2026]
- Apptimize is a mobile-first cross-platform A/B testing platform that runs iOS, Android, React Native, and web through one SDK, with a 4.3 out of 5 G2 rating. [G2, 2026]
- Both are SDK-only and developer-owned: neither has a visual editor, and every experiment starts as an engineering ticket.
- Neither runs experiments natively on the Shopify product page, cart, or checkout, and neither reports the outcome in revenue per visitor.
- Omniconvert Explore is a Shopify-native eCommerce CRO platform: it runs A/B, multivariate, and checkout experiments through a visual editor and measures the result in revenue per visitor.
Teams comparing Amplitude Experiment vs Apptimize are usually choosing an SDK-based testing platform for a product engineering group. Amplitude Experiment leads with a testing layer bolted onto Amplitude Analytics, so experiments live in the same dashboard as product event data. Apptimize leads with true cross-platform A/B testing across iOS, Android, React Native, and web through one SDK. Both need developer work to ship a variant, and neither is designed for a Shopify marketing team to run product page or checkout experiments. This page covers what each does well, the gap they share for eCommerce, and when Omniconvert Explore is the right layer.
What is Amplitude Experiment, and what is it actually good at?
Amplitude Experiment is an experimentation layer built on Amplitude Analytics. Experiments read from the same event data your product team already tracks in Amplitude, and results are analysed inside the Amplitude environment using existing cohorts. It is built for product teams already invested in the Amplitude analytics stack. [Amplitude, 2026]
Amplitude Experiment is a product experimentation platform bolted onto one of the most widely deployed analytics tools in SaaS. It holds a 4.5 out of 5 rating on G2 across 2,200+ reviews. [G2, 2026] Its strength is continuity with the analytics layer: experiments target Amplitude cohorts, and results are read against the same event definitions the product team already trusts, in the same dashboard.
Assignment happens through SDKs, with feature-flag style splits and cohort-based targeting. There is a free tier and seat-based pricing, which is helpful for product teams instrumenting a new application.
Analytics-native experimentation runs experiment assignment inside the same platform that already tracks product events, so results appear against existing event definitions and user cohorts without a separate data integration. Amplitude Experiment does this well for teams already on Amplitude Analytics. It is a product analytics and experimentation layer, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages through a marketer-accessible interface.
Where Amplitude Experiment is genuinely strong
- Analytics continuity: experiments read the same events as the rest of the product analytics, in one dashboard.
- Cohort targeting: advanced targeting using Amplitude cohorts already defined by the product team.
- Free tier: seat-based pricing with a real free tier, useful for product teams starting an experimentation habit.
- Established install base: 2,200+ reviews and a mature ecosystem around Amplitude's analytics platform.
Where Amplitude Experiment hits its ceiling for an eCommerce store
- Amplitude Analytics required: the value proposition assumes the store already runs Amplitude, which most $1M to $50M ARR stores do not.
- No visual editor: every variant ships through code and SDKs, not a WYSIWYG for marketers.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- No multivariate testing: A/B experiments only, not factorial designs.
- Product analytics framing: event counts and funnel steps, not revenue per visitor or order rate as the primary outcome.
What is Apptimize, and what is it actually good at?
Apptimize is a mobile-first cross-platform A/B testing and feature management platform. One SDK covers iOS, Android, React Native, and the web, so a single experiment can run with consistent logic across every surface. It is built for mobile product teams shipping a native app alongside a web experience. [Apptimize, 2026]
Apptimize is one of the few platforms that runs a single experiment across iOS, Android, React Native, and web with the same assignment logic. It holds a 4.3 out of 5 rating on G2 across 35 reviews. [G2, 2026] Its strength is consistency across surfaces: a mobile product team can define a variant once and see how it behaves on every client without a separate testing tool per platform.
The platform pairs experimentation with feature flag management, so shipping and rolling back a variant sit in the same workflow as running the test. Assignment happens through SDKs; there is no visual editor for web pages.
Cross-platform mobile A/B testing runs a single experiment across native iOS, native Android, and web clients through one SDK, so exposure logic and metric definitions stay consistent across every surface. Apptimize does this well for mobile product teams. It is a mobile app release and experimentation layer, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages through a marketer-accessible interface.
Where Apptimize is genuinely strong
- True cross-platform SDK: one experiment across iOS, Android, React Native, and web with consistent assignment.
- Feature flag management: release and rollback of variants live in the same workflow as the test.
- Mobile app expertise: a rare pick for teams that treat the native app and the web experience as one testing surface.
- Server-side testing: SDK-based splits scale for teams running many parallel mobile experiments.
Where Apptimize hits its ceiling for an eCommerce store
- Mobile-first design: the product and the workflow assume a mobile app is the primary surface, which few Shopify stores have.
- No visual editor: every web variant ships through code and SDKs, not a WYSIWYG for marketers.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- Custom pricing, contact sales: no self-serve entry point for a mid-market store CRO budget.
- No revenue framing: no concept of revenue per visitor as the primary outcome on a store funnel.
What Amplitude Experiment and Apptimize cannot do for an eCommerce store
Amplitude Experiment and Apptimize approach experimentation from opposite ends, product analytics and mobile app releases, but they share the same shape for a Shopify store. Both are SDK-only and developer-owned, and neither is built around the surfaces where eCommerce revenue is won or lost: product pages, cart, and checkout.
Amplitude Experiment is an add-on layer for existing Amplitude Analytics customers. It has no visual editor and requires developer implementation, and it is not designed for eCommerce checkout flow experiments. A marketer cannot ship a product page test through the Amplitude stack without engineering support, and the value proposition itself assumes the store is already paying for Amplitude Analytics, which most $1M to $50M ARR stores do not run.
Apptimize is a mobile-first cross-platform A/B testing tool designed for teams running iOS and Android apps. It does not have native Shopify integration or a visual editor for web experiments. Teams using it for eCommerce CRO on web storefronts must implement its SDK manually and cannot run checkout experiments through a marketer-accessible interface without engineering support.
The gap the two share is the eCommerce one. Both are credible experimentation platforms, but neither is an eCommerce CRO platform. Neither treats the product-to-checkout path as the primary surface, and neither reports the result in revenue per visitor. For the wider context on how testing programmes actually move revenue, see Has personalization replaced A/B testing?
The deeper issue is that ownership of the test sits far from the person who owns the store's revenue number. A CRO lead has a hypothesis about the cart page and, in either tool, needs an engineer to write SDK assignment code, define an exposure event, and later stitch results back to order rate. Omniconvert Explore collapses that loop: a visual editor for product page and checkout variants, native Shopify integration, on-site surveys and overlays 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 neither tool can tell an eCommerce team
- 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 an Amplitude cohort count or a mobile SDK exposure event.
- Which surface to test first. Which pages in the store 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 an SDK integration or a mobile release cycle.
- 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% do not show checkout progress steps, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
Those are fixes a CRO lead can hypothesise, mock up, and want to test today. In Amplitude Experiment the same fix is a code change that also assumes Amplitude Analytics already tracks the checkout surface. In Apptimize it is an SDK implementation on a web storefront that the mobile team owns. Explore runs the experiment on the real revenue surfaces and reports the outcome in revenue per visitor, without an SDK integration or an analytics dependency between the hypothesis and the result.
This is what the title means by two SDKs vs store. Analytics-linked experimentation and mobile-first cross-platform testing are both valuable on the products those teams own. Neither is the same as a lift on 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 SDK-first tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Amplitude Experiment vs Apptimize vs Explore: the capability comparison
Side by side, the three tools sit at different points on the experiment lifecycle. Amplitude Experiment is the analytics-native testing layer for teams already on Amplitude. Apptimize is the mobile-first SDK for teams shipping iOS, Android, and web. Explore is the eCommerce CRO layer measured in revenue per visitor.
| Capability | Amplitude Experiment | Apptimize | Omniconvert Explore |
|---|---|---|---|
| Primary function | Experimentation layer on Amplitude Analytics | Mobile-first cross-platform A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, requires Amplitude Analytics | Yes SDK-based, cross-platform | Yes visual editor plus code |
| Multivariate testing | No | No | Yes |
| Server-side testing | Yes core capability | Yes core capability | Yes |
| Visual editor | No code and SDKs only | No code and SDKs only | Yes WYSIWYG for marketers |
| On-site surveys and overlays | No | No | Yes surveys and overlays built in |
| Shopify integration | Low no native connector | Low no native connector | Yes native |
| eCommerce focus | Low built for product teams on Amplitude | Low built for mobile product teams | High built for store revenue workflows |
| Pricing model | Seat-based, free tier available | Custom, contact sales | Session-based, built for store traffic, free trial |
| Best for | Product teams already on Amplitude Analytics | Mobile teams testing across iOS, Android, and web | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.5 out of 5 (G2, 2200 reviews, as of 2026) | 4.3 out of 5 (G2, 35 reviews, as of 2026) | 4.6 out of 5 (G2, 191 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. Amplitude Experiment is a testing layer tied to Amplitude Analytics; Apptimize is a mobile-first SDK testing 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 Amplitude Experiment or Apptimize?
Decide by who owns your testing programme. If your product team lives in Amplitude Analytics and wants experiments in that dashboard, Amplitude Experiment serves them. If your mobile app team wants one SDK across iOS, Android, and web, Apptimize serves them. A Shopify CRO lead cannot ship product page or checkout variants in either without developer work. For a store, run your next test in Explore, self-serve, and read the result in revenue per visitor.
Amplitude Experiment and Apptimize are both strong at what they do. Amplitude Experiment brings experimentation directly into the analytics environment product teams already trust. Apptimize brings one experimentation SDK across every mobile and web surface a product ships on.
The question for a store is narrower: once you have a hypothesis about the cart or checkout, can a CRO lead ship the variant, measure the result in revenue per visitor, and answer whether the win holds for high-value repeat customers, without waiting on an analytics event pipeline or a mobile release cycle. 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