AB Smartly vs Unbounce vs Explore (2026): Neither Tests the Checkout
AB Smartly is a real-time SDK-based experimentation platform built by former Booking.com engineers. Unbounce is a landing page builder with A/B testing for paid traffic. 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 a click or a landing page conversion.
- AB Smartly is a real-time SDK-based experimentation platform built by former Booking.com engineers, with a 4.8 out of 5 G2 rating. [G2, 2026]
- Unbounce is a landing page builder with A/B testing and Smart Traffic AI for paid campaigns, with a 4.4 out of 5 G2 rating. [G2, 2026]
- AB Smartly is engineering-first with no visual editor; Unbounce is marketer-friendly but tests only standalone landing pages, not the store.
- Neither has native Shopify integration, checkout experiment templates, or revenue per visitor as a first-class metric.
- 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 AB Smartly vs Unbounce are usually deciding between engineering-led experimentation velocity and marketer-run landing page tests. AB Smartly runs real-time SDK-based experiments built for product engineers and data scientists. Unbounce builds landing pages and A/B tests them for paid traffic campaigns. Neither is built around the surfaces where a Shopify store actually wins or loses revenue: the product page, the cart, and the checkout, which is where Omniconvert Explore lives.
What is AB Smartly, and what is it actually good at?
AB Smartly is a real-time A/B testing platform built by former Booking.com engineers. It runs SDK-based server-side experiments, streams results live, and connects natively to the customer's own data warehouse. It is built for engineer-led, high-velocity experimentation programmes. [AB Smartly, 2026]
AB Smartly holds a 4.8 out of 5 rating on G2 across 45 reviews. [G2, 2026] Its strength is engineering-first experimentation: real-time result streaming, a native connector into Snowflake, BigQuery, or Redshift, and statistical methods refined at Booking.com scale. That combination fits organizations where the experimentation programme is run by product engineers and data scientists rather than marketers.
The category AB Smartly sits in is SDK-based server-side testing. It runs experiments through code rather than a visual editor, which is how it stays honest about server-side behavior and warehouse joins. That focus is the point of the product, not a gap in it.
SDK-based experimentation runs the test through code, at the server or in the app, so engineering teams can control precisely where the split happens and what event is measured. AB Smartly builds this into its SDK and warehouse connector. It is an engineering delivery layer, distinct from running a controlled revenue experiment natively on Shopify product, cart, and checkout pages.
Where AB Smartly is genuinely strong
- Real-time result streaming: low-latency reads on lift and significance as events arrive.
- Data warehouse integration: native connection into the customer's own Snowflake, BigQuery, or Redshift.
- Statistical rigor from Booking.com: variance reduction and sequential methods refined at scale.
- Server-side SDK testing: engineering-led velocity for teams that ship changes through code.
Where AB Smartly hits its ceiling for an eCommerce store
- No visual editor: CRO and marketing teams cannot ship a test without engineering time.
- No native Shopify integration: product page and checkout tests need custom code.
- No multivariate testing: rules out combinatorial experiments common in eCommerce.
- Engineering event metrics: results arrive as event data, not revenue per visitor.
What is Unbounce, and what is it actually good at?
Unbounce is a landing page builder with built-in A/B testing and AI-powered traffic optimization. Marketers use it to build, publish, and test landing pages for paid traffic campaigns, without writing code or waiting on a developer. Smart Traffic routes visitors to the best-performing variant automatically. [Unbounce, 2026]
Unbounce holds a 4.4 out of 5 rating on G2 across 377 reviews. [G2, 2026] Its strength is speed for paid-traffic teams: a drag-and-drop editor, hundreds of templates, integrations with major ad and CRM platforms, and Smart Traffic AI that shifts allocation toward the winning variant during the run. That combination fits marketing teams who need to spin up campaign-specific landing pages fast.
The category Unbounce sits in is landing page building with A/B testing. It is designed to run tests on pages Unbounce itself hosts, not on the existing website or the eCommerce funnel. That focus is the point of the product.
Landing page A/B testing compares two or more versions of a standalone campaign page that a paid traffic source points to, usually to test a headline, image, or offer. Unbounce builds this into its editor. It is a top-of-funnel campaign layer, distinct from running controlled revenue experiments on the product, cart, and checkout pages a store already sells from.
Where Unbounce is genuinely strong
- Drag-and-drop landing page builder: marketing teams ship pages without engineering time.
- Smart Traffic AI: routes visitors to the best-performing variant automatically during the run.
- Ad and CRM integrations: connects to major paid-traffic platforms and lead-capture tools.
- Template library: hundreds of proven campaign templates accelerate launch.
Where Unbounce hits its ceiling for an eCommerce store
- Landing pages only: cannot test existing website pages, product pages, or the checkout flow.
- No server-side testing: not designed for backend or app-layer experiments.
- Limited multivariate testing: combinatorial tests common in eCommerce are constrained.
- Low Shopify integration: no native connector for product, cart, or checkout experiments.
What AB Smartly and Unbounce cannot do for an eCommerce store
AB Smartly and Unbounce sit at opposite ends of the testing stack, engineering-led SDKs and marketer-run landing pages, but they share the same gap for a store. Neither is built around the surfaces where eCommerce revenue is decided, product pages, cart, and checkout, or around the metric that matters there: revenue per visitor and order rate.
AB Smartly is built for engineering teams running high-velocity server-side experiments. With no native Shopify integration and no visual editor, product page and checkout tests happen only through code, so a CRO or marketing lead cannot ship a test without engineering time. Revenue per visitor is not a native experiment outcome; results arrive as engineering event data for the warehouse.
Unbounce is a landing page builder with A/B testing for paid traffic campaigns. It cannot run experiments on the existing website, on Shopify product pages, or through the checkout flow. Teams using it for eCommerce CRO can only test standalone landing pages and miss the highest revenue impact surfaces: the product detail page, the add-to-cart flow, and the checkout sequence.
The two gaps sit at different points on the funnel but land in the same missing layer. Both platforms optimize a part of the journey but not the surface where the order is actually placed. Neither is built around where a store's revenue is decided, or around the Customer Value Optimization question: whether a lift holds for high-value, repeat buyers. For the wider debate behind acting on experiment data, 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 the win moved revenue. AB Smartly ships engineering event streams, not on-site heatmaps or surveys, so a marketing team stitches those in from third-party tools. Unbounce reports on landing page conversion but not on how a visitor behaved once they reached the store. 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, on the store's real revenue surfaces.
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 moved a click or a landing page signup.
- 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 buyers, 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, exactly the surfaces a code-first engineering platform or a landing page builder 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 when it says neither tool tests the checkout. A test won at engineering speed on a generic page, or on a paid-traffic landing page, 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 click or a landing page signup often does not. That is the revenue question AB Smartly and Unbounce are not built to answer. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
AB Smartly vs Unbounce vs Explore: the capability comparison
Side by side, the three tools sit at different points on the funnel. AB Smartly runs code-first server-side tests for engineering teams. Unbounce builds and tests landing pages for paid traffic campaigns. 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 | AB Smartly | Unbounce | Omniconvert Explore |
|---|---|---|---|
| Primary function | Real-time SDK-based experimentation | Landing page builder with A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, no visual editor | Yes landing pages only | Yes visual plus code editor |
| Multivariate testing | No | Limited within landing pages | Yes |
| Server-side testing | Yes SDK-native | No | Yes |
| Visual editor | No engineering only | Yes for landing pages only | Yes |
| On-site surveys and overlays | No engineering event streams only | No landing page popups only | Yes surveys and overlays built in |
| Shopify integration | Low no native connector | Low landing pages, not the store | Yes native |
| eCommerce focus | Low engineering-first, category-agnostic | Low paid-traffic landing pages | High built for store revenue workflows |
| Pricing model | Custom, contact sales | Session-based, from $99/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Engineering teams wanting real-time results with warehouse rigor | Marketing teams running paid landing page campaigns | 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. AB Smartly uses custom pricing quoted on request; Unbounce publishes plans from $99/mo with a free trial. 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 Unbounce?
Decide by who runs the tests and what surface they reach. If an engineering team wants real-time warehouse-linked experiments, keep AB Smartly. If a marketing team needs paid-traffic landing pages built and tested without a developer, keep Unbounce. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three can coexist, but only Explore is built for the checkout where the order closes.
AB Smartly and Unbounce are both capable inside their categories. AB Smartly is a real-time engineering-led platform built by Booking.com veterans. Unbounce is a landing page builder with Smart Traffic AI for paid-traffic campaigns.
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 a landing page signup. 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.