AB Smartly vs Intelligems vs Explore (2026): The Shopify CRO Gap
AB Smartly is an engineer-led experimentation platform built by former Booking.com engineers, with server-side testing and warehouse-grade statistics. Intelligems is a Shopify-native platform focused on price and content testing. 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 rather than generic conversion rate.
- AB Smartly is a server-side experimentation platform built by former Booking.com engineers, with warehouse-grade statistics and a 4.8 out of 5 G2 rating. [G2, 2026]
- Intelligems is a Shopify-native A/B testing platform focused on price testing and content experiments, with a 4.9 out of 5 G2 rating. [G2, 2026]
- The two solve different problems, engineering-led server-side rigour versus Shopify-native price testing, and are rarely direct substitutes for each other.
- Neither is a full eCommerce CRO platform: neither combines product-to-checkout testing with on-site surveys, overlays, and revenue-per-visitor measurement in one place.
- Omniconvert Explore runs experiments on product, cart, and checkout natively, layered with surveys and overlays, and measures results in revenue per visitor.
Teams comparing AB Smartly vs Intelligems are usually torn between two engineering choices: real-time server-side rigour from the Booking.com school, or Shopify-native price and content testing without a developer. AB Smartly answers the engineering question. Intelligems answers the Shopify pricing question. Neither is built around the full revenue funnel of a store: product pages tested with surveys, overlays, and checkout together. This page covers what each does well, the gap they share, and when Omniconvert Explore is the right layer.
What is AB Smartly, and what is it actually good at?
AB Smartly is a server-side A/B testing platform built by former Booking.com engineers. It runs real-time experiments through an SDK, with warehouse-grade statistical methods and direct data warehouse integration. It has no visual editor and is designed for engineering-led teams. [G2, 2026]
AB Smartly is one of the highest-rated tools in the category, with a 4.8 out of 5 rating on G2 across 45 reviews. [G2, 2026] The team behind it built Booking.com's experimentation programme, and that pedigree shows in the statistical rigour and real-time results engineering teams prize.
The category AB Smartly sits in is engineer-led, server-side experimentation. It runs A/B tests through SDKs with direct data warehouse integration, and is designed for high-velocity teams shipping many experiments per week. That engineering focus is the point of the product.
Server-side testing runs experiments in the application backend or through an SDK rather than by injecting client-side code. AB Smartly is built on this model. It requires engineering implementation and is distinct from a marketer-accessible visual editor for product page and checkout tests.
Where AB Smartly is genuinely strong
- Warehouse-grade statistical rigour: real-time results with the methods the Booking.com team built at scale.
- Direct data warehouse integration: connects to Snowflake, BigQuery, and similar for analysis without ETL glue work.
- SDK-based server-side testing: experiments run on backend logic, not only on markup or client-side scripts.
- High-velocity experimentation: designed for engineering organisations shipping many tests per week.
Where AB Smartly hits its ceiling for an eCommerce store
- No visual editor: marketers cannot ship a product-page test without engineering time.
- No native Shopify integration: no eCommerce templates for product, cart, or checkout out of the box.
- No multivariate testing: outside the platform's stated scope.
- Custom enterprise pricing: quoted on request, built for engineering-led organisations, not single stores.
What is Intelligems, and what is it actually good at?
Intelligems is a Shopify-native A/B testing platform focused on price testing and content experiments. It lets Shopify merchants test product prices, shipping rates, and bundle pricing without engineering workarounds. Theme tests and content experiments are also supported natively. [G2, 2026]
Intelligems is one of the most highly rated Shopify apps in the category, with a 4.9 out of 5 rating on G2 across 65 reviews. [G2, 2026] Its niche is real: native price testing on Shopify, which most experimentation tools cannot run without complex workarounds.
The category Intelligems sits in is Shopify-native testing. It runs A/B tests on product prices, shipping rates, bundle pricing, themes, and content directly on Shopify storefronts, without developer involvement for standard tests. That Shopify focus is the point of the product.
Shopify price testing runs A/B experiments on product prices, shipping rates, and bundle pricing directly on a Shopify storefront. Intelligems is purpose-built for this. It is a narrow slice of eCommerce CRO, distinct from testing the full product-to-checkout path with surveys, overlays, and multivariate experiments.
Where Intelligems is genuinely strong
- Native Shopify price testing: covers a real gap most experimentation tools cannot touch on Shopify.
- No developer required for standard tests: merchants ship price and content tests directly, without a sprint.
- Multivariate testing on Shopify surfaces: available for content and theme experiments on a storefront.
- Session-based pricing from $149 per month: predictable costs for a store, with a free trial. [Intelligems, 2026]
Where Intelligems hits its ceiling for a full CRO program
- Shopify only: cannot be used on any other platform, so it is not a fit for teams running non-Shopify surfaces.
- No server-side testing: backend logic and complex audience routing sit outside the platform.
- No visual editor for arbitrary page elements: tests are constrained to supported Shopify surfaces.
- No on-site surveys or overlays: no built-in behavioral insight layer to tell the team what to test next.
What AB Smartly and Intelligems cannot do for an eCommerce store
AB Smartly and Intelligems solve different problems, engineer-led server-side rigour versus Shopify-native price testing, but they share one gap for a store. Neither is a full eCommerce CRO platform, and neither combines product-to-checkout testing with on-site surveys, overlays, and revenue-per-visitor measurement in one marketer-accessible layer.
AB Smartly is built for engineering teams running high-velocity server-side experiments. It has no native Shopify integration and cannot run product page or checkout experiments through a visual interface accessible to non-technical users. For a Shopify store whose marketers want to ship a test without engineering involvement, AB Smartly is the wrong shape of tool.
Intelligems is a Shopify-native platform focused on price testing and content experiments. It cannot be used outside Shopify and does not support server-side testing, multivariate audience targeting, or on-site surveys. For teams wanting full CRO capability beyond Shopify-specific price and content tests, Intelligems runs out of runway.
The two gaps differ in shape but point to the same missing layer. Most testing tools optimize the execution of a test on one surface: backend logic, or a Shopify product page. Omniconvert Explore is built for the layer above: the full revenue funnel of a store, tested with surveys and overlays, and measured in revenue per visitor.
There is a second gap underneath the first: the data insights layer that tells a team what to test and whether it actually worked. AB Smartly ships engineering telemetry, not behavioral analytics, so heatmaps, session recordings, and on-site surveys sit in third-party tools the team has to reconcile. Intelligems ships neither a survey layer nor a heatmap layer, so store operators still stitch external tools around it to explain why a Shopify visitor dropped off. Explore builds that data insights layer in: heatmaps, session recordings, and surveys sit next to the experiment, and the same behavioral 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, not just a click or a micro-conversion in an engineering dashboard.
- Which surface to test first. Which pages in the funnel (product, cart, checkout) carry the highest revenue impact if tested next, based on live behavioral data.
- Why visitors abandon. What on-site surveys, heatmaps, and session recordings say about drop-off, without stitching third-party analytics tools around the tester.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value buyers, the Customer Value Optimization question, not only for 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 94.2% never show checkout progress steps. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems, the exact places an engineer-focused SDK tester or a Shopify price tester is not built to experiment against. 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 CRO gap. Server-side rigour matters, and so does native price testing, but a store's revenue lives on the product-to-checkout path measured in 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 click often does not. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing on Shopify; see Explore 3.0: pricing testing on Shopify.
AB Smartly vs Intelligems vs Explore: the capability comparison
Side by side, the three tools serve different layers. AB Smartly runs engineer-led server-side experiments at scale. Intelligems tests prices and content natively on Shopify. Explore adds native Shopify experiments on the full product-to-checkout path, on-site surveys and overlays, and revenue-per-visitor measurement. See A/B testing with Explore for how those experiments run on the Shopify funnel.
| Capability | AB Smartly | Intelligems | Omniconvert Explore |
|---|---|---|---|
| Primary function | Real-time server-side experimentation | Shopify-native price and content testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, no visual editor | Yes Shopify-native | Yes visual plus code editor |
| Multivariate testing | No | Yes on content and theme surfaces | Yes |
| Server-side testing | Yes SDK-first, warehouse-grade stats | No | Yes |
| Visual editor | No engineering implementation required | Partial Shopify surfaces only, not arbitrary elements | Yes point-and-click on live pages |
| On-site surveys and overlays | No not in scope | No not in scope | Yes surveys and overlays built in |
| Shopify integration | Low no native connector | Native purpose-built for Shopify | Native |
| eCommerce focus | Low engineering-first, cross-industry | High Shopify-only | High built for store revenue workflows |
| Revenue per visitor measurement | No engineering event data | Partial price test lift, not full-funnel RPV | Yes revenue per visitor and order rate native |
| Pricing model | Custom enterprise, contact sales, no free trial | Session-based, from $149/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Engineering teams shipping high-velocity server-side tests | Shopify stores testing prices, shipping, and content natively | Shopify and eCommerce teams optimizing the full revenue funnel |
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. 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 AB Smartly or Intelligems?
Start with the surface where your team can actually run the test. If your engineering team wants real-time server-side experiments at scale, keep AB Smartly. If Shopify price testing is your single priority and no developer is available, Intelligems earns its place. For a Shopify store optimising the full product-to-checkout path with surveys and overlays, run your next test in Explore, measured in revenue per visitor.
AB Smartly and Intelligems are both strong within their categories. AB Smartly gives engineering teams real-time server-side experiments with warehouse-grade statistics. Intelligems gives Shopify merchants a native price test they cannot easily run anywhere else.
The question for a store is narrower: can your team run a controlled experiment across the Shopify product, cart, and checkout, layered with surveys and overlays that tell you what to test next, and read the result in revenue per visitor. That is the eCommerce CRO 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.