AB Tasty vs Dynamic Yield vs Explore (2026): The Checkout Gap
AB Tasty is a marketing-team A/B testing and personalization platform, reorganized under VWO since the 2025 merger. Dynamic Yield is an enterprise retail personalization engine owned by Mastercard. Neither is built for mid-market Shopify revenue testing on checkout. Omniconvert Explore runs experiments on product, cart, and checkout natively, measured in revenue per visitor rather than click rate.
- AB Tasty is a marketing-led A/B testing and personalization platform, reorganized under VWO since the 2025 merger, with a 4.4 out of 5 G2 rating across 424 reviews. [G2, 2026]
- Dynamic Yield is an enterprise retail personalization engine owned by Mastercard, powering IKEA and McDonald's, with a 4.5 out of 5 G2 rating across 200 reviews. [G2, 2026]
- AB Tasty sits with marketing teams. Dynamic Yield sits with enterprise retailers. They solve different problems and rarely coexist in the same stack.
- Neither is built for a mid-market Shopify store to run its own revenue-focused experiments on product, cart and checkout.
- Explore runs experiments on product, cart and checkout natively and measures outcomes in revenue per visitor: pick it for mid-market Shopify revenue testing.
AB Tasty vs Dynamic Yield is a comparison that puts two very different jobs on the same page. AB Tasty, now part of VWO, runs web experimentation and feature flags for marketing teams. Dynamic Yield, owned by Mastercard, powers real-time personalization for enterprise retailers at scale. Omniconvert Explore sits in a different place: it runs revenue-focused experiments on product, cart and checkout for mid-market Shopify stores.
What is AB Tasty, and what is it actually good at?
AB Tasty is a web experimentation and personalization platform that merged with VWO in 2025. It combines A/B testing, multivariate testing, feature flags and client-side personalization behind a no-code editor, built for marketing teams that want to ship experiments without a developer in the loop.
AB Tasty holds a G2 rating of 4.4 out of 5 across 424 reviews. [G2, 2026] Reviewers consistently call out the visual editor: a marketing-led team can set up a landing-page or product-page test from the browser in a single afternoon.
The VWO merger in 2025 expanded the catalog and the support bench, but also reorganized the roadmap and the pricing. Server-side testing now sits behind a separate paid add-on, so the base plan does not run back-end tests by default.
A marketing-led testing platform packages A/B testing, feature flags and personalization behind a no-code editor, so a growth team can ship an experiment without a developer sprint. It is an execution layer for web tests on general pages, distinct from an experimentation platform built around a store's revenue surfaces, which is what Omniconvert Explore is built for.
Where AB Tasty is genuinely strong
- Strong no-code editor: a marketing team can build and launch a test without developer time.
- Feature flags and testing in one tool: product and growth share the same workspace for release gating and experimentation.
- Broader catalog post-merger: the VWO suite is now available under the AB Tasty brand.
- Fits marketing-led teams: tuned for people writing the hypothesis, not people shipping code.
Where AB Tasty hits its ceiling for an eCommerce store
- No native Shopify checkout: cart and checkout experiments need manual integration work.
- No eCommerce-specific templates: product-page and checkout tests start from a blank canvas.
- Server-side testing is paywalled: back-end testing sits behind a separate paid add-on on top of the base plan.
- Marketing-website orientation: tuned for landing pages and content, not store revenue flows.
What is Dynamic Yield, and what is it actually good at?
Dynamic Yield is an enterprise personalization and A/B testing platform owned by Mastercard since 2022. Its recommendation engine, experience optimization and A/B testing span web, mobile and email, and it powers major retailers including IKEA and McDonald's.
Dynamic Yield holds a G2 rating of 4.5 out of 5 across 200 reviews. [G2, 2026] It is one of the most capable personalization engines on the market, and the Mastercard acquisition has broadened its data and partnership reach.
That scale is the trade-off. Dynamic Yield uses custom enterprise pricing that typically starts in the five-figure annual range, and implementation needs a project team rather than an afternoon. A mid-market Shopify brand can read the feature list and still not qualify for the commercial model behind it.
An enterprise personalization platform runs machine-learning product and content recommendations and experience optimization across many channels, tied to a customer data layer and a dedicated implementation team. It is a personalization and experience engine for large retailers, distinct from a self-serve experimentation platform a mid-market Shopify store can run on its own, which is what Explore is built for.
Where Dynamic Yield is genuinely strong
- Advanced eCommerce personalization: machine-learning product and content recommendations at scale.
- Multi-channel reach: web, mobile app and email in one personalization layer.
- Enterprise retail track record: live in estates like IKEA and McDonald's.
- Mastercard data partnership: additional signal and data reach available to personalization models.
Where Dynamic Yield hits its ceiling for a mid-market store
- Enterprise pricing floor: contracts typically start in the five-figure annual range.
- Implementation needs a project team: not accessible to a mid-market Shopify brand running solo.
- Over-specified for simple A/B testing: the personalization stack is the product; testing is ancillary.
- Not self-serve: the model expects a dedicated personalization function on the customer side.
What AB Tasty and Dynamic Yield cannot do for an eCommerce store
AB Tasty and Dynamic Yield sit at different ends of the market, but they share one gap for a mid-market Shopify store. Neither is sold, implemented or priced for a mid-size eCommerce team to run its own revenue-focused experiments on product, cart and checkout, measured in revenue per visitor.
AB Tasty is oriented to marketing-website experimentation and feature management. For a Shopify store, that means checkout integrations are built manually, and revenue-focused experiments on product pages and the cart flow do not run natively. Post-merger, the server-side capability a store would use for those tests sits behind a separate paid add-on.
Dynamic Yield sits further up the market: an enterprise platform designed for large retail organizations with dedicated personalization teams. The implementation complexity and the pricing floor keep it out of reach for a mid-market Shopify brand that wants to test product and checkout flows without a five-figure annual contract and a developer project.
Most tools in this space are built around a generic web page and a generic conversion event. They optimize the execution of a test. They are not built around the surfaces where eCommerce revenue is actually won or lost (product pages, cart, checkout) or around the metric that matters to a store: revenue per visitor, not a click.
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 neither tool can tell an eCommerce store
- Did the win move revenue. Whether a winning variant lifted revenue per visitor and order rate, not just a click or a micro-conversion.
- Which surface to test first. Which pages in the funnel (product, cart, checkout) carry the biggest revenue impact if tested next.
- How it behaves in Shopify. How the experiment interacts with variants, catalog and the checkout flow natively, without engineering glue work.
- Whether it holds for repeat buyers. Whether the result holds for high-CLV, repeat customers, the Customer Value Optimization question, not just first-session visitors.
Across the 7,000+ eCommerce websites Omniconvert benchmarks, 94.2% of stores do not show checkout progress steps and 85.1% do not display the full order cost before payment. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems: the exact surfaces a marketing testing tool is not built to touch, and a mid-market Shopify team cannot afford an enterprise personalization engine to help with. Explore runs the experiment on those surfaces and reports the outcome in revenue per visitor.
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]
AB Tasty vs Dynamic Yield vs Explore: the capability comparison
Side by side, the three tools serve different teams. AB Tasty runs marketing-led tests and feature flags. Dynamic Yield runs enterprise retail personalization. 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 on the Shopify funnel.
| Capability | AB Tasty | Dynamic Yield | Omniconvert Explore |
|---|---|---|---|
| Primary function | Marketing-led web testing and feature flags | Enterprise personalization and A/B testing | eCommerce CRO on product, cart and checkout |
| A/B testing | Yes visual editor and feature flags | Yes visual editor and personalization engine | Yes visual editor plus code editor |
| Multivariate testing | Yes | Yes | Yes |
| Server-side testing | Partial via a separate paid add-on | Yes | Yes |
| Visual editor | Yes | Yes | Yes |
| On-site surveys and overlays | Partial overlays via personalization, no native surveys | Partial personalization layer, no purpose-built surveys | Yes surveys and overlays built in |
| Shopify integration | Medium no native checkout, manual setup | High capable, but enterprise implementation required | Yes native Shopify, including checkout |
| eCommerce focus | Medium marketing-website orientation | High enterprise retail | High eCommerce-native, built for store revenue |
| Pricing model | Custom, contact sales, reorganized post-VWO merger | Custom enterprise, typically five-figure annual | Session-based, built for store traffic |
| Best for | Marketing teams wanting testing and feature flags together | Enterprise retailers with dedicated personalization teams | Shopify eCommerce teams optimizing for revenue |
| User rating | 4.4 out of 5 (G2, 424 reviews, as of 2026) | 4.5 out of 5 (G2, 200 reviews, as of 2026) | 4.6 out of 5 (G2, 197 reviews, as of 2026) |
Competitor ratings, pricing and plan details reflect publicly listed figures as of 2026 and can change. AB Tasty is now part of the VWO group post-2025 merger. Dynamic Yield is owned by Mastercard. Explore uses session-based pricing; see the Omniconvert pricing page for current plans.
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Should you choose Explore over AB Tasty or Dynamic Yield?
Choose by size and surface. If a marketing team wants no-code testing plus feature flags and can live inside the VWO ecosystem post-merger, AB Tasty earns a place. If you are an enterprise retailer with a dedicated personalization team, Dynamic Yield earns its contract. For a mid-market Shopify store that wants to test product, cart and checkout and measure revenue per visitor, Explore is built for that work.
AB Tasty and Dynamic Yield are both capable platforms in their own tiers. AB Tasty gives marketing teams a strong no-code editor with feature flags, now backed by the VWO catalog. Dynamic Yield gives enterprise retailers one of the most sophisticated personalization engines on the market, with Mastercard's data behind it.
The question for a Shopify store is narrower. Can your team run a controlled experiment on product, cart and checkout without a developer sprint or an enterprise contract, and read the result in revenue per visitor rather than a click. 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