Convert vs Firebase vs Explore (2026): Where Shopify Revenue Is Won
Convert is a privacy-first A/B testing platform for CRO agencies and general websites. Firebase A/B Testing is Google's free experimentation tool for mobile apps, built on Remote Config and measured in Google Analytics. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor.
- Convert is a privacy-first A/B testing platform for CRO agencies and general websites, with a 4.7 out of 5 G2 rating. [G2, 2026]
- Firebase A/B Testing is Google's free experimentation tool for mobile apps, built on Remote Config and measured in Google Analytics.
- Convert tests the web and Firebase tests the app, so they rarely compete directly and neither targets a Shopify storefront.
- Neither runs experiments on 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 Convert vs Firebase A/B Testing are usually deciding where their experiments should live: on the website, or inside a mobile app. Convert answers the web testing question for general sites and agencies. Firebase answers the app experimentation question for teams already in the Google ecosystem. 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 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.
- 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 is Firebase A/B Testing, and what is it actually good at?
Firebase A/B Testing is Google's free experimentation feature for mobile apps. It serves Remote Config parameter variants to segments of your users, then measures the outcome against Google Analytics metrics like retention and revenue. It is built for iOS and Android teams already inside the Firebase and Google ecosystem. [Firebase, 2026]
Firebase A/B Testing is an app experimentation tool first. It has no standalone G2 rating because it ships bundled inside Google Firebase, and it costs nothing to run at any scale. Its strength is testing app UI, onboarding, feature flags, and notification copy against real retention and revenue metrics.
Tests are defined as Remote Config key-value parameters in code and the Firebase console, not through a point-and-click editor. That suits engineering-led app teams. It is a different job from running a conversion experiment program on a store's web checkout.
Remote Config experimentation changes app behavior by pushing different parameter values to different user segments, then reading the result in Google Analytics. Firebase does this for mobile apps and Firebase-SDK web apps. It is an in-app capability, distinct from running controlled revenue experiments on product, cart, and checkout pages of a storefront.
Where Firebase A/B Testing is genuinely strong
- Free at any scale: no cost to run experiments, since it rides on Firebase Analytics and Remote Config.
- Deep Google ecosystem fit: native ties to Analytics, Crashlytics, and Cloud Messaging for app teams.
- Clean mobile SDK experimentation: reliable iOS and Android testing of features, onboarding, and copy.
- Automatic statistical inference: results are analyzed for you against retention and revenue metrics.
Where Firebase A/B Testing hits its ceiling for an eCommerce store
- Built for apps, not storefronts: it has no concept of a product, cart, or checkout page on a website.
- No native Shopify integration: no drop-in tag or app, so every storefront test means custom SDK code.
- Developer-driven, no visual editor: each variant is a Remote Config parameter set by an engineer.
- Generic app metrics: outcomes read as retention and events, not revenue per visitor on a store funnel.
What Convert and Firebase cannot do for an eCommerce store
Convert and Firebase A/B Testing are built for different surfaces, the general web and the mobile app, 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 metrics that matter there: revenue per visitor, order rate, and the margin a store actually keeps.
Convert is built for CRO practitioners running tests on general websites. With no native Shopify integration, 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.
Firebase is built for engineering teams experimenting inside a mobile app, usually already invested in Google's stack. Its tests live in Remote Config and read against Google Analytics events, not a Shopify checkout. A store evaluating it for the web takes on custom SDK work for every experiment and still has no product, cart, or checkout template.
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 screen. 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 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. Convert runs clean experiments but ships no native behavioral analysis, so heatmaps, session recordings, and on-site surveys come from third-party tools the team has to stitch together. Firebase reports app events into Google Analytics, but that tells you what happened in the app, not why a shopper abandoned a cart on the web. 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 an app event.
- 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: 99.6% fail to make guest checkout visible and prominent, 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 general web tester or a mobile-app experimentation tool 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 where Shopify revenue is won. A higher click rate or a lifted app event 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. A variant that wins on revenue per visitor and holds for high-CLV customers protects profit; a variant that only lifts a top-of-funnel event often does not. That is the revenue question Convert and Firebase are not built to answer, and the one Omniconvert Explore is. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Convert vs Firebase vs Explore: the capability comparison
Side by side, the three tools serve different surfaces. Convert runs clean privacy-first tests on general websites. Firebase experiments inside mobile apps for free. 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 | Convert | Firebase A/B Testing | Omniconvert Explore |
|---|---|---|---|
| Primary function | Privacy-first general-website A/B testing | Free mobile-app experimentation via Remote Config | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual and code editor | Yes Remote Config, developer-driven | Yes visual plus code editor |
| Multivariate testing | Yes | Partial multiple parameters, not full-factorial | Yes |
| Server-side testing | Yes | Partial via SDK and Remote Config | Yes |
| On-site surveys and overlays | No needs third-party tools | No in-app messaging, not web surveys | Yes surveys and overlays built in |
| Built-in data insights | No heatmaps and recordings via third parties | Partial Google Analytics, no heatmaps or recordings | Yes heatmaps, recordings, and surveys built in |
| Shopify integration | Medium not native, manual setup | No SDK-only, no storefront support | Yes native |
| eCommerce focus | Medium agency and mid-market web | Low mobile app engagement | High built for store revenue workflows |
| Revenue per visitor measurement | No generic conversion metrics | No app retention and event metrics | Yes revenue per visitor and order rate native |
| Pricing model | Session-based, from $299/mo, free trial | Free with Firebase | Session-based, built for store traffic, free trial |
| Best for | CRO agencies wanting privacy-first testing | Mobile app teams in the Google ecosystem | Shopify and eCommerce teams optimizing 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. Firebase A/B Testing is a free feature of Google Firebase and has no standalone G2 listing. 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 Convert or Firebase?
Start with the surface where your revenue is decided. If you need clean, privacy-first tests on general web pages, keep Convert. If you run a native mobile app in the Google ecosystem, Firebase earns its place for free. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The tools are complementary, but only Explore is built for the checkout where the order closes.
Convert and Firebase are both capable tools on their own surfaces. Convert is transparent, privacy-first, and agency-friendly on the web. Firebase is free, deeply tied to Google Analytics, and strong for in-app mobile experimentation.
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 or an 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.