AB Smartly vs Conductrics vs Explore (2026): Testing Built for Store Revenue
AB Smartly is a real-time experimentation platform built by former Booking.com engineers, with SDK-based assignment. Conductrics is an experimentation and optimization platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. AB Smartly requires developer work; Conductrics lists no dedicated Shopify app and installs on a store through its script tag. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs product page, cart, and checkout experiments and measures the result in revenue per visitor.
- AB Smartly is a real-time experimentation platform built by former Booking.com engineers, with a 4.8 out of 5 G2 rating across 45 reviews. [G2, 2026]
- Conductrics is an experimentation and optimization platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits.
- AB Smartly is engineer-owned: it has no visual editor, and every experiment starts as an SDK integration. Conductrics pairs its visual editor with server-side, edge, and mobile testing.
- AB Smartly does not run experiments natively on the Shopify product page, cart, or checkout or report the outcome in revenue per visitor; Conductrics lists no dedicated Shopify app and installs on a store through its script tag.
- 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 AB Smartly vs Conductrics are choosing between an engineering-owned experimentation platform and a general-purpose optimization platform. AB Smartly leads with real-time results and a warehouse connector, built by the team behind Booking.com's programme. Conductrics pairs a visual editor, Conductrics Express, with server-side, edge, and mobile testing, A/B and multivariate tests, and contextual bandits. AB Smartly is not designed for a Shopify marketing team to run product page or checkout experiments without developer work, and Conductrics lists no dedicated 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 AB Smartly, and what is it actually good at?
AB Smartly is a real-time experimentation platform built by former Booking.com engineers. It uses SDK-based assignment, exposes results as they arrive rather than in batch, and connects directly to a data warehouse for downstream analysis. It is built for high-velocity engineering programmes that treat testing as continuous infrastructure. [AB Smartly, 2026]
AB Smartly is an engineering platform built by practitioners of one of the largest experimentation programmes in the industry. It holds a 4.8 out of 5 rating on G2 across 45 reviews. [G2, 2026] Its strength is speed and rigour together: results update in real time rather than in a nightly job, and the platform is designed for teams that run hundreds of parallel experiments without waiting on a batch pipeline.
Assignment happens through SDKs, with server-side splits and advanced statistical methods. The warehouse connector lets a data team join experiment exposure to any downstream metric that already lives in Snowflake, BigQuery, or Redshift.
Real-time experimentation streams experiment assignment and outcome events as they happen, so exposures and metrics update continuously instead of running as a scheduled batch. AB Smartly does this well for engineering teams shipping many parallel tests. It is an execution and analysis layer for developer-owned code, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages through a marketer-accessible interface.
Where AB Smartly is genuinely strong
- Real-time results: exposures and metrics update continuously, not in a nightly batch.
- Booking.com heritage: statistical methods and program design shaped by one of the largest testing programmes in the industry.
- Warehouse connector: joins experiment exposure to metrics already defined in Snowflake, BigQuery, or Redshift.
- Server-side and SDK based: scales for high-velocity engineering programmes running many parallel tests.
Where AB Smartly hits its ceiling for an eCommerce store
- No visual editor: variants ship through code and SDKs, not a WYSIWYG a marketer can use.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- Engineering-priced: custom pricing designed for engineering-led organisations, not for a self-serve CRO budget.
- No multivariate testing: the platform does not run MVT natively.
- Generic outcome model: no concept of revenue per visitor as a first-class metric on the store funnel.
What is Conductrics, and what is it actually good at?
Conductrics is an experimentation and optimization platform for A/B and multivariate testing. Tests can be built in its visual editor, Conductrics Express, or run server-side through a REST API and libraries, at the CDN edge, or in mobile apps through iOS, Android, and React Native SDKs. Its predictive agents add contextual multi-armed bandits, and in-experiment surveys sit in the same platform. [Conductrics, 2026]
Conductrics serves both sides of a testing programme. Its visual editor is built for non-technical teams testing UI changes, and technical teams can run experiments server-side through a REST API and Node.js, Java, and Swift libraries, in hybrid set-ups, at the CDN edge, or in mobile apps. Its statistics are built for rigour: error-rate control, checks for test interference, corrections for multiple comparisons, and secondary goals used as guardrails.
The trade-off is focus. Conductrics is a general-purpose optimization platform used across industries, with no eCommerce-specific features listed, and it has no dedicated Shopify app: it installs on a store through its script tag, as it does on any other website.
Multivariate testing changes several page elements at once, such as the headline, the hero, and the offer, and measures which variable drives a lift, including how the variables interact. Conductrics composes multivariate tests from existing tests and reports them in an MVT report and a Main Effects Report. It is a general-purpose testing method, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages with native store integration.
Where Conductrics is genuinely strong
- Visual editor plus code: Conductrics Express handles WYSIWYG on-page changes, custom JavaScript, multi-page changes, and redirect tests, with QA previews.
- A/B and multivariate testing: multivariate tests are built from existing tests, and a Main Effects Report shows which variable drives a lift, interaction effects included.
- Web, server, edge, and mobile: client-side through one script tag, server-side through a REST API and libraries, at the CDN edge, and in iOS, Android, and React Native apps.
- Contextual bandits: predictive agents using Thompson Sampling, with human-readable decision trees that show which visitor traits drove each choice.
- In-experiment surveys: questions from NPS to fully custom, matched to the variation each visitor saw.
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 page test rather than from Shopify's catalog.
- General-purpose by design: built for optimization across industries, with no eCommerce-specific features listed, where Explore is built around product, cart, and checkout, measured in revenue per visitor.
- Prices through sales: prices are not published, so a store team needs a quote from sales rather than reading a public plan.
- More breadth than a store may need: server-side, edge, mobile, and bandit options that a store-only team may never use.
What AB Smartly and Conductrics leave open for an eCommerce store
AB Smartly and Conductrics sit at different points on the experimentation map. AB Smartly is an engineer-owned platform with no visual editor that needs code to ship a variant; Conductrics pairs a visual editor with server-side, edge, and mobile testing. Neither is built specifically around the surfaces where eCommerce revenue is won or lost, product pages, cart, and checkout, or the metric that matters there: revenue per visitor.
AB Smartly is built for engineering teams running high-velocity server-side tests, and the Booking.com pedigree shows in how the platform treats experimentation as continuous infrastructure. On a Shopify store the same shape is a problem. Every product page, cart, and checkout experiment starts as an SDK ticket, and the queue is set by engineering. The A/B test the CRO lead wanted this week ships when engineering ships it.
Conductrics covers more ground: a visual editor for UI changes, server-side and mobile testing for technical teams, multivariate tests, and contextual bandits. On a Shopify storefront the gap is focus. Conductrics lists no dedicated Shopify app or Shopify-specific integration; it installs through its script tag, so a store test is set up like a test on any other page rather than from the store's catalog, cart, and checkout.
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: AB Smartly does not report the result in revenue per visitor, and Conductrics lists no eCommerce-specific features. For the wider context on how testing programmes actually move revenue, see Has personalization replaced A/B testing?
Conductrics gives a CRO lead a visual editor for UI changes, but it is a general-purpose tool, set up on a store through its script tag like on any other website. With AB Smartly, 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 an engineer to write assignment code, define an event, and later stitch results back to order rate. 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 a test to tell it
- 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 an engineering event.
- 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 checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without SDK glue work.
- 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 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 AB Smartly, the same fix is an engineering ticket, sitting in a queue set by another team. Conductrics' visual editor is built for UI changes on any page, but with no dedicated Shopify app, a store test is set up through its script tag like any other page test. Explore runs the experiment on the real revenue surfaces and reports the outcome in revenue per visitor, without an SDK integration between the hypothesis and the result.
This is what the title means by testing built for store revenue. Real-time rigour on metrics your engineering team owns is not the same as a lift on the number that pays for the store, and a general-purpose platform's breadth across web, server, edge, and mobile is more than a store-only team may need. 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 engineering-first tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
AB Smartly vs Conductrics vs Explore: the capability comparison
Side by side, the three tools sit at different points on the experiment lifecycle. AB Smartly is the real-time execution and analysis layer for engineering teams shipping many parallel tests. Conductrics is the general-purpose optimization layer, with a visual editor, server-side, edge, and mobile testing, and contextual bandits. 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 | AB Smartly | Conductrics | Omniconvert Explore |
|---|---|---|---|
| Primary function | Real-time engineering-led experimentation | Experimentation and optimization across web, server, edge, and mobile | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, no visual editor | Yes visual editor, server-side, and mobile | Yes visual editor plus code |
| Multivariate testing | No | Yes with MVT and Main Effects reports | Yes |
| Server-side testing | Yes core capability | Yes REST API, libraries, and edge | 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 engineering teams | Low general-purpose, not eCommerce-specific | High built for store revenue workflows |
| Pricing model | Custom, contact sales, enterprise | Prices not published, quote from sales | Session-based, built for store traffic, free trial |
| Best for | Engineering teams wanting real-time server-side experimentation | Teams testing across web, server, edge, and mobile with MVT and bandits | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.8 out of 5 (G2, 45 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. AB Smartly is an engineer-owned experimentation platform rather than a marketer-accessible eCommerce CRO tool; Conductrics is a general-purpose optimization platform rather than an eCommerce-specific one. 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 Conductrics?
Decide by who owns the tests and where they run. If your engineering team wants real-time server-side experiments with Booking.com-grade rigour, AB Smartly serves them. If you want visual-editor, multivariate, and bandit tests across web, server, edge, and mobile in one platform, Conductrics serves you. But a Shopify marketing or CRO team cannot ship a product page or checkout variant in AB Smartly without developer work, and Conductrics has no dedicated Shopify app. For a store, run your next test on the product-to-checkout path in Explore, self-serve, and read the result in revenue per visitor.
AB Smartly and Conductrics are both strong at what they do. AB Smartly brings real-time engineering rigour shaped by the Booking.com programme. Conductrics brings A/B and multivariate testing, a visual editor, and contextual bandits that run on the web, server-side, at the edge, and in mobile apps.
The question for a store is narrower: once you have a hypothesis about the cart or checkout, can a CRO lead ship the variant, measure the result in revenue per visitor, and answer whether the win holds for high-value repeat customers, without waiting on an engineering ticket. 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