Apptimize vs Convert vs Explore (2026): Two Tools, One Blind Spot
Apptimize is a mobile-first cross-platform A/B testing tool with an SDK spanning iOS, Android, and web. Convert is a privacy-first A/B testing platform for CRO agencies and general websites. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the outcome in revenue per visitor rather than clicks.
- Apptimize is a mobile-first cross-platform A/B testing platform with SDK support across iOS, Android, and web, rated 4.3 out of 5 on G2 across 35 reviews. [G2, 2026]
- Convert is a privacy-first A/B testing platform for CRO agencies and general websites, rated 4.7 out of 5 on G2 across 139 reviews. [G2, 2026]
- Apptimize serves mobile product teams; Convert serves web CRO practitioners; they solve different jobs and are rarely direct substitutes.
- Neither is built around the Shopify checkout or measures results in revenue per visitor, the surfaces 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 Shopify revenue surfaces.
Teams comparing Apptimize vs Convert are usually deciding whether to test through a mobile SDK or a general web platform. Apptimize serves product teams running experiments across iOS, Android, and web with one codebase. Convert serves CRO agencies and mid-market teams running privacy-first tests on general websites. Neither is built around Shopify's product-to-checkout path or reports the result in revenue per visitor, which is where Omniconvert Explore fits.
What is Apptimize, and what is it actually good at?
Apptimize is a cross-platform A/B testing and feature management platform built for mobile product teams. Its SDK runs the same experiment across iOS, Android, React Native, and web, so a team can hold experiment logic consistent across platforms. [Apptimize, 2026]
Apptimize sits in a specialized corner of the testing market: mobile-first experimentation with feature flags. It carries a 4.3 out of 5 rating on G2 across 35 reviews, a smaller footprint than the general web testers in the category. [G2, 2026]
Its strength is a single SDK that spans native app and web, which matters for product teams running an iOS or Android app alongside a browser experience. That focus is the point of the product, not a limitation of it.
Cross-platform mobile testing runs the same A/B experiment across an iOS app, an Android app, and a web experience through one SDK, so a product team can hold experiment logic consistent across platforms. It is a mobile-and-app framing, distinct from running a controlled revenue experiment on product, cart, and checkout inside a Shopify storefront.
Where Apptimize is genuinely strong
- One SDK across iOS, Android, and web: the same experiment logic runs on native apps and the browser, which is rare in the category.
- Server-side experimentation: tests execute through the SDK, so they are not tied to a client-side script that can flicker or fail.
- Feature flag controls: product teams can launch and roll back changes without a redeploy of the app binary.
- Mobile-native workflows: release phasing, staged rollouts, and app-store-aware toggles built for product teams shipping apps.
Where Apptimize hits its ceiling for an eCommerce store
- No visual editor: every experiment needs SDK code, so a marketing team cannot ship a test without engineering time.
- No native Shopify integration: web storefront testing runs through manual SDK setup, not a Shopify-aware install.
- Smaller footprint and ecosystem: lower brand presence than the category leaders, and a thinner community around eCommerce use cases.
- Not built around checkout metrics: results are framed around click and micro-conversion, not revenue per visitor on the product-to-checkout path.
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 major analytics platforms, 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 the 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 appeals to 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, starting at $299 per month.
- 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 experiment 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 Apptimize and Convert cannot do for an eCommerce store
Apptimize and Convert are built for different jobs, mobile SDK experimentation and web CRO, 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.
Apptimize is a mobile-first cross-platform tool designed for teams running iOS and Android apps. It has no native Shopify integration and no visual editor for web experiments. A store using Apptimize for eCommerce CRO on a web storefront has to implement the SDK manually, and cannot run checkout experiments through a marketer-accessible interface.
Convert is built for CRO practitioners running tests on general websites. With no native Shopify integration and no purpose-built eCommerce experiment flows, checkout testing happens through manual implementation, and revenue per visitor is not a native experiment metric. The work of connecting a winning variant to checkout revenue still happens by hand.
The two gaps differ in nature but point to the same missing layer. Most testing tools optimize the execution of a test on a generic page or a mobile screen. They are not built around where store revenue is actually decided, product pages, cart, and checkout, or around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers.
There is a second gap underneath the first: the data insights layer that tells a team what to test and whether it actually worked. Apptimize is code-first, so a marketing team cannot see heatmaps, session recordings, or on-site surveys without a separate stack. Convert runs clean experiments but ships no native behavioral analysis, so those insights come from third-party tools the team has to stitch together. 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: 94.2% never show checkout progress, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems, the exact surfaces a mobile-first SDK or a general web tester 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 blind spot. 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.
Apptimize vs Convert vs Explore: the capability comparison
Side by side, the three tools serve different layers. Apptimize runs cross-platform experiments through a mobile SDK. Convert runs clean privacy-first tests on general websites. 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 | Apptimize | Convert | Omniconvert Explore |
|---|---|---|---|
| Primary function | Cross-platform mobile and web A/B testing via SDK | Privacy-first general-website A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK across iOS, Android, and web | Yes visual and code editor | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | Yes SDK-based | Yes | Yes |
| Visual editor | No SDK implementation required | Yes functional, less polished than leaders | Yes visual plus code, marketer-accessible |
| On-site surveys and overlays | No not part of the product | No needs third-party tools | Yes surveys and overlays built in |
| Shopify integration | Low manual SDK setup | Medium not native, manual setup | Yes native |
| eCommerce focus | Low mobile product teams first | Medium agency and mid-market web | High built for store revenue workflows |
| Pricing model | Custom, quoted on request, no free trial | Session-based, from $299/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Mobile product teams testing across iOS, Android, and web | CRO agencies wanting privacy-first testing | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.3 out of 5 (G2, 35 reviews, as of 2026) | 4.7 out of 5 (G2, 139 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. Apptimize pricing is custom and quoted on request. 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 Convert?
Choose Apptimize when your product team runs consistent experiments across iOS, Android, and web through one SDK. Choose Convert when your agency needs transparent, privacy-first testing on general websites. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three are complementary within their categories, but only Explore is built for the checkout where the order closes.
Apptimize and Convert are both capable tools within their categories. Apptimize is one of the few platforms that runs a single experiment across iOS, Android, and web through one SDK. Convert is highly rated by CRO agencies for transparent session-based pricing and a strong privacy stance.
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