Apptimize vs Conductrics vs Explore (2026): The Storefront Test
Apptimize is a cross-platform A/B testing tool with a mobile SDK for iOS, Android, and web. Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, and adaptive optimization. Apptimize requires developer implementation. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product, cart, and checkout, measured in revenue per visitor.
- Apptimize is a mobile-first cross-platform A/B testing tool that runs experiments across iOS, Android, React Native, and web through one SDK, with a 4.1 out of 5 G2 rating across 17 reviews. [G2, 2026]
- Conductrics is a general-purpose experimentation and adaptive optimization platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and in-experiment surveys.
- Apptimize is developer-first, with no visual editor, and every web experiment starts as an SDK ticket; Conductrics has a visual editor. Neither integrates natively with Shopify.
- Neither has a native Shopify integration for the product page, cart, or checkout; Apptimize does not report the outcome in revenue per visitor, and Conductrics lists no eCommerce-specific features.
- 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 Apptimize vs Conductrics are usually looking at two different testing tools: one mobile-first, one a general-purpose experimentation and optimization platform. Apptimize leads with true cross-platform SDK testing across iOS, Android, React Native, and web, handing the actual work to engineering. Conductrics pairs a visual editor with server-side, edge, and mobile testing, multivariate tests, and contextual bandits for adaptive optimization. Both are strong for the audiences they target, but Apptimize is not designed for a Shopify marketing team to ship product page or checkout experiments, and Conductrics, general-purpose by design, lists no Shopify app. This page covers what each does well, the gap they share for eCommerce, and when Omniconvert Explore is the right layer.
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 assignment 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 4.1 out of 5 rating on G2 across 17 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 SDK testing runs one experiment with shared assignment and metric logic across native iOS, Android, and web clients, using an SDK on each surface. Apptimize does this well for mobile product teams. It is a mobile-first delivery and feature-flag 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 testing: one experiment across iOS, Android, React Native, and web with shared logic.
- Feature flag management: shipping and rollback of variants sits inside the same workflow as the test.
- Mobile product focus: built for teams whose primary revenue surface is a native app, not a website.
- Server-side and client SDK support: covers both native client and server-side experiment logic.
Where Apptimize hits its ceiling for an eCommerce store
- No visual editor: every web variant needs SDK implementation, not a WYSIWYG a marketer can use.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- Mobile-first, not store-first: the product is designed around a native app funnel, not a Shopify storefront.
- No multivariate testing: the platform does not run MVT natively.
- Generic outcome model: no concept of revenue per visitor or repeat-customer value on the store funnel.
What is Conductrics, and what is it actually good at?
Conductrics is an experimentation and adaptive optimization platform. It supports A/B and multivariate testing, contextual multi-armed bandits, and targeting rules on any data source, through a visual editor (Conductrics Express), a single script tag, a server-side REST API, the CDN edge, or SDKs for iOS, Android, and React Native. [Conductrics, 2026]
Conductrics was founded in 2008 and launched in 2010. Its visual editor, Conductrics Express, lets non-technical teams test UI changes, with multi-page changes, split-URL tests, and QA previews, while engineering teams can run experiments server-side through a REST API and libraries for Node.js, Java, and Swift, at the CDN edge, or in mobile apps.
On top of testing, its predictive agents use contextual multi-armed bandits with Thompson Sampling, with a Listen mode that learns without changing the experience and an Adaptive mode, and human-readable decision trees show which visitor traits drove a choice. Its statistics add error-rate control, checks for test interference, and corrections for multiple comparisons.
Adaptive optimization uses multi-armed bandits to shift traffic toward the better-performing variant while a test runs, instead of holding a fixed split until it ends. Conductrics uses contextual bandits, which also take visitor traits into account, alongside classic A/B and multivariate tests. It is a general-purpose optimization layer used across industries, distinct from a platform built around controlled revenue experiments on Shopify product, cart, and checkout pages.
Where Conductrics is genuinely strong
- Visual editor plus server-side, edge, and mobile: Conductrics Express for quick UI changes, with a REST API, Conductrics Edge, and iOS, Android, and React Native SDKs for tests beyond the page.
- A/B and multivariate testing: multivariate tests composed from existing tests, with a Main Effects Report that shows which variable drives a lift, interaction effects included.
- Contextual bandits: predictive agents using Thompson Sampling, with human-readable decision trees that show which visitor traits drove a choice.
- Surveys inside experiments: questions from NPS to fully custom, matched to the variation each visitor saw.
- Statistical rigour: error-rate control, checks for test interference, corrections for multiple comparisons, and secondary goals used as guardrails.
Where Conductrics hits its ceiling for an eCommerce store
- No dedicated Shopify app: no Shopify-specific integration is listed; it installs on a store through its script tag, so store tests are set up like any other page test rather than from Shopify's catalog.
- General-purpose, not store-first: it is used across industries with no eCommerce-specific features listed, while Explore is built around product, cart, and checkout tests read in revenue per visitor.
- Prices through sales: prices are not published; quotes come from sales.
- Breadth a store team may not need: server-side, edge, and mobile testing and contextual bandits are capabilities a team testing one Shopify storefront may never use.
What Apptimize and Conductrics leave open for an eCommerce store
Apptimize and Conductrics come from different corners (mobile clients and general-purpose optimization) but leave a store with a similar gap. Apptimize is a developer-first tool that expects engineering to own the test and has no visual editor for web; Conductrics has a visual editor. Neither integrates natively with Shopify, and neither is built specifically around the surfaces where store revenue is won or lost (product pages, cart, and checkout) or the metric that matters there: revenue per visitor.
Apptimize is mobile-first and designed for teams running iOS and Android apps alongside a web experience. On a Shopify storefront that focus flips into a gap: web experiments require the same manual SDK implementation as the mobile clients, without any native Shopify connector, and there is no marketer-accessible interface for a cart or checkout test. A winning variant on the mobile app rarely reaches the Shopify checkout without a separate build.
Conductrics is a general-purpose experimentation and optimization platform used across industries. On a Shopify storefront it installs through its script tag, as on any website, and its visual editor lets a non-technical team test UI changes. What it does not list is a Shopify app, a Shopify-specific integration, or eCommerce-specific features, so a store sets up its tests like any other page test rather than from Shopify's catalog.
The gap the two share is the eCommerce one. These are experimentation platforms, but they are not eCommerce CRO platforms. Neither treats the product-to-checkout path as the primary surface, and neither speaks Shopify natively. Apptimize does not report the result in revenue per visitor, and Conductrics lists no eCommerce-specific reporting. For the wider context on how testing programmes actually move revenue, see Has personalization replaced A/B testing?
With Apptimize, the deeper issue is that ownership of the test sits far from the person who owns the revenue number. A CRO lead has a hypothesis about the cart page and needs a developer to write SDK code, ship the variant, and later stitch results back to order rate. With Conductrics, a non-technical team can build the variant in its visual editor, but no Shopify-specific integration is listed. 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 an eCommerce team needs every test to answer
- 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 a custom event or a mobile-app conversion.
- 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 Shopify checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without a manual SDK build for the storefront.
- 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 or first-install 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, and 94.2% never show checkout progress steps to the shopper. [CROBenchmark Report 2026, Omniconvert]
Those are fixes a CRO lead can hypothesise, mock up, and want to test today. In Apptimize the same fix is a mobile-shaped SDK ticket for the web, sitting behind the mobile release train. In Conductrics it would be set up like a test on any other website, since no Shopify-specific integration is listed. Explore runs the experiment on the real revenue surfaces and reports the outcome in revenue per visitor, without an SDK build between the hypothesis and the result.
This is what the title means by the storefront test. Cross-platform mobile testing and general-purpose adaptive optimization are both real capabilities, but neither tool is built specifically around a Shopify store's own revenue number. 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 testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Apptimize vs Conductrics vs Explore: the capability comparison
Side by side, the three tools sit at different points on the experiment map. Apptimize is the cross-platform mobile-first tester for product teams running iOS and Android alongside web. Conductrics is the general-purpose platform for A/B, multivariate, and adaptive testing across web, server, edge, and mobile. Explore is the eCommerce CRO layer for the store team that owns product, cart, and checkout, and is judged on revenue per visitor. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Apptimize | Conductrics | Omniconvert Explore |
|---|---|---|---|
| Primary function | Cross-platform mobile A/B testing and feature flags | Experimentation with adaptive optimization | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based across iOS, Android, and web | Yes visual editor, server-side, edge, and mobile | Yes visual editor plus code |
| Multivariate testing | No | Yes with a Main Effects Report | Yes |
| Server-side testing | Yes supported alongside client SDKs | Yes REST API and Node.js, Java, and Swift libraries | Yes |
| Visual editor | No code and SDKs only | Yes Conductrics Express | Yes WYSIWYG for marketers |
| On-site surveys and overlays | No | Yes on-site surveys inside experiments (Conductrics Surveys) | Yes surveys and overlays built in |
| Shopify integration | Low no native connector | Partial no dedicated Shopify app; installs through its script tag | Yes native |
| eCommerce focus | Low built for mobile product teams | Low general-purpose, not eCommerce-specific | High built for store revenue workflows |
| Pricing model | Custom, contact sales, enterprise | Prices not published; quotes from sales | Session-based, built for store traffic, free trial |
| Best for | Mobile product teams testing across iOS, Android, and web | Teams testing across web, server, edge, and mobile, with contextual bandits | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.1 out of 5 (G2, 17 reviews, as of 2026) | No public G2 rating | 4.6 out of 5 (G2, 197 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. Apptimize is mobile-first cross-platform SDK testing and not a marketer-accessible eCommerce CRO tool; Conductrics is general-purpose experimentation and adaptive optimization, not eCommerce-specific. 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 Conductrics?
Decide by who runs the tests. If your mobile product team wants cross-platform SDK testing across iOS and Android, keep Apptimize. If your team wants A/B, multivariate, and adaptive testing across web, server, edge, and mobile, Conductrics fits. But neither has a native Shopify integration: a Shopify marketing team cannot ship a product page or checkout variant in Apptimize without engineering time, and Conductrics lists no Shopify app. Run your next test in Explore, self-serve, measured in revenue per visitor. Only Explore is built for the storefront where the order closes.
Apptimize and Conductrics are both strong at what they do. Apptimize brings true cross-platform testing to teams running a mobile app alongside a web experience. Conductrics brings a visual editor, server-side, edge, and mobile testing, multivariate reporting, and contextual bandit optimization together in one platform.
The question for a store is narrower: once you have a hypothesis about the cart or checkout, can a CRO lead ship the variant on a Shopify-native platform, measure the result in revenue per visitor, and answer whether the win holds for high-value repeat customers. 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