Apptimize vs Evergage vs Explore (2026): Mobile SDK vs Enterprise Scale
Apptimize is a mobile-first cross-platform A/B testing tool used by iOS and Android product teams. 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 reports results in revenue per visitor rather than mobile events or personalization lifts.
- Apptimize is a mobile-first cross-platform SDK A/B testing tool for iOS, Android, and React Native, with a 4.1 out of 5 G2 rating across 17 reviews. [G2, 2026]
- Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization suite with a 4.3 out of 5 G2 rating across 94 reviews. [G2, 2026]
- Apptimize and Evergage solve different jobs, mobile product testing and enterprise personalization, and are rarely direct substitutes for each other.
- Neither tool runs native Shopify checkout experiments or measures outcomes in revenue per visitor, the metric that decides store revenue.
- Omniconvert Explore runs product, cart, and checkout experiments natively and measures results in revenue per visitor: pick it for Shopify revenue surfaces.
Teams comparing Apptimize vs Evergage are usually weighing two very different platforms: a mobile SDK testing tool and an enterprise personalization suite. Apptimize answers the experiment question for iOS and Android apps. Evergage answers the one-to-one personalization question for enterprise teams inside Salesforce. Neither is built around the surfaces where a Shopify store actually wins or loses revenue: the product page, the cart, and the checkout. This page covers what each does well, the gap they share, and when Omniconvert Explore is the right layer.
What is Apptimize, and what is it actually good at?
Apptimize is a mobile-first A/B testing and feature management platform for teams running iOS, Android, and React Native apps alongside a web experience. It supports server-side testing and feature flags through its SDK, keeping experiment logic consistent across platforms.
Apptimize is one of the few platforms that runs the same experiment across iOS, Android, React Native, and web in a single setup. On G2 it carries a 4.3 out of 5 rating across 35 reviews. [G2, 2026] It is used by product teams who want A/B testing and feature flags to behave the same way on every surface their app ships to.
The category Apptimize sits in is SDK-based mobile product experimentation. It is built for teams whose primary conversion event lives inside a mobile app, not on a web storefront. That focus is the point of the product.
Mobile SDK testing means a developer embeds the testing library in the app binary and controls experiments through code rather than a visual editor. Apptimize is built around this model so experiments stay consistent across iOS, Android, and React Native. It is a mobile product capability, distinct from running a controlled revenue experiment on a Shopify checkout.
Where Apptimize is genuinely strong
- Cross-platform parity: the same experiment logic runs across iOS, Android, React Native, and web in a single SDK.
- Mobile feature flags: rollouts, canary releases, and kill switches native to the mobile app release lifecycle.
- Server-side experiments: variants route on the server, so there is no client-side flicker on either web or app.
- Consistent product telemetry: experiment events line up with the mobile analytics the product team already uses.
Where Apptimize hits its ceiling for an eCommerce store
- No visual editor: every experiment is a developer task, which blocks marketer-led tests on a Shopify page.
- No native Shopify integration: product pages, cart, and checkout need manual SDK wiring to run anything.
- Thin web polish: the web side trails Shopify-native testing tools in templates and store context.
- Small G2 footprint: 35 reviews is thin signal next to enterprise testers and personalization suites.
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 apps, onsite search, and in-store, connected to the Salesforce CDP.
Evergage is a personalization engine first and a testing tool second. On G2 it carries a 4.3 out of 5 rating across 94 reviews and was named a G2 Leader for personalization engines. [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 rather than 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 Apptimize and Evergage cannot do for an eCommerce store
Apptimize and Evergage are built for different jobs, mobile product experimentation and enterprise personalization, 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, order rate, and the margin a store actually keeps.
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 a web storefront implement the SDK manually and cannot ship checkout experiments through a marketer-accessible interface.
Evergage is built for enterprise marketing teams running real-time personalization across many channels, usually inside the Salesforce ecosystem. It is not a Shopify-native CRO tool, and its testing is designed to validate personalization rules rather than run revenue-per-visitor experiments on product pages, cart, and checkout. A Shopify store evaluating Evergage takes on enterprise implementation and custom pricing when what it often needs is a focused eCommerce experimentation platform.
The two gaps differ in nature but point to the same missing layer. Most mobile testers and personalization suites optimize the execution of a test or a campaign on a generic surface. 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. Apptimize ships rich mobile telemetry but no web-side heatmaps, session recordings, or on-site surveys, so a storefront team stitches those together from other tools. Evergage holds deep behavioral data, but it lives inside an enterprise Salesforce deployment most single Shopify 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 tap inside a native app.
- 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 a first-session visitor or a personalized segment.
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 an SDK-first mobile tester or a Salesforce 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 mobile SDK versus enterprise scale. A higher tap-rate inside a native app or a lifted personalization banner 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. That is the revenue question Apptimize and Evergage are not built to answer, and the one Explore is. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Apptimize vs Evergage vs Explore: the capability comparison
Side by side, the three tools serve different layers. Apptimize runs consistent SDK-based tests across iOS, Android, and web. Evergage personalizes experiences for enterprises inside 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 | Apptimize | Evergage | Omniconvert Explore |
|---|---|---|---|
| Primary function | Mobile SDK cross-platform A/B testing | Enterprise real-time personalization | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based across iOS, Android, and web | Partial within personalization campaigns | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | Yes via SDK | Yes via SDK | Yes |
| Visual editor | No code-only through the SDK | Yes | Yes |
| On-site surveys and overlays | No mobile product testing, not surveys | Partial personalization campaigns, not surveys | Yes surveys and overlays built in |
| Shopify integration | Low manual SDK work, no native connector | Low enterprise implementation | Yes native |
| eCommerce focus | Low built for mobile product teams | Medium enterprise personalization | High built for store revenue workflows |
| Pricing model | Custom, contact sales, no free trial | Custom enterprise, quote on request | Session-based, built for store traffic, free trial |
| Best for | Mobile product teams needing iOS, Android, and web parity | Enterprise teams in the Salesforce ecosystem | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.1 out of 5 (G2, 17 reviews, as of 2026) | 4.3 out of 5 (G2, 94 reviews, as of 2026) | 4.6 out of 5 (G2, 197 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. Apptimize is a cross-platform mobile testing SDK; Shopify use requires custom implementation. 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 Evergage?
Start with the surface where your revenue is decided. If your primary conversion lives inside a mobile app, keep Apptimize for that layer. If you run enterprise personalization inside Salesforce, Evergage earns its place. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three can be complementary, but only Explore is built for the checkout where the order closes.
Apptimize and Evergage are both capable tools within their categories. Apptimize is one of the few cross-platform SDKs that keeps experiment logic consistent across iOS, Android, React Native, and web. Evergage is a G2 Leader for enterprise personalization inside the Salesforce ecosystem.
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 tap in a native app or a personalized banner. 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 197 reviews, G2 , as of 2026