AB Tasty vs VWO Testing vs Explore (2026): Web Testing vs Shopify Revenue
AB Tasty is a web experimentation and personalization platform that merged with VWO in 2025. VWO Testing is a front-end and full-stack A/B and multivariate testing platform. 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.
- AB Tasty is a no-code web testing and personalization platform that also carries feature flags, with a 4.5 out of 5 G2 rating across 185 reviews. [G2, 2026]
- VWO Testing is a broader front-end and full-stack A/B and multivariate platform with heatmaps and recordings, with a 4.4 out of 5 G2 rating across 913 reviews. [G2, 2026]
- AB Tasty and VWO merged in 2025 and now sit under one parent, so their roadmaps and pricing are converging.
- Both are built around a generic web page rather than the Shopify product-to-checkout path, and neither reports outcomes in revenue per visitor.
- Omniconvert Explore runs the same class of experiments natively on Shopify product, cart, and checkout, measured in revenue per visitor, with session-based pricing built for store traffic.
Teams comparing AB Tasty vs VWO Testing are usually choosing between two web experimentation platforms that now share a parent company after the 2025 merger. AB Tasty leads with a no-code editor and feature flags for marketing teams. VWO Testing leads with a mature visual editor paired with heatmaps and recordings. Both run generic web A/B tests well, but neither is built around the Shopify product-to-checkout path where store revenue is actually decided, and that is where Omniconvert Explore fits.
What is AB Tasty, and what is it actually good at?
AB Tasty is a web experimentation and personalization platform popular with marketing teams. It combines A/B testing, feature flags, and on-site personalization behind a no-code visual editor, so marketers can ship variants without developer involvement. The platform merged with VWO in 2025, bringing the two under one parent company. [AB Tasty, 2026]
AB Tasty is a marketing-first experimentation tool. It holds a 4.5 out of 5 rating on G2 across 185 reviews. [G2, 2026] Its strength is packaging A/B testing, feature flags, and personalization in one interface that a growth marketer can operate without engineering support.
Server-side testing is available, but only through a separate paid add-on rather than the core plan. The 2025 VWO merger reshuffled the roadmap and pricing, and enterprise buyers now contract with sales rather than through public tiers.
For marketing sites and content-led funnels this works well. For a Shopify store, the eCommerce fit is medium: there is no native Shopify integration and no purpose-built checkout experiment templates.
Feature flag experimentation gates a code change behind a toggle so a team can release a variant to a subset of users and roll it back without a redeploy. AB Tasty pairs flags with a no-code visual editor for marketers. It is a release and delivery layer, distinct from running a controlled revenue experiment on the Shopify product, cart, and checkout surfaces.
Where AB Tasty is genuinely strong
- No-code visual editor: marketers ship variants without a developer touching the theme.
- Testing plus feature flags in one tool: release management and experimentation live together.
- On-site personalization: segmented content and offers without a separate CMS overlay.
- Enterprise support post-merger: a larger combined customer success organization under VWO.
Where AB Tasty hits its ceiling for an eCommerce store
- No native Shopify integration: checkout experiments need manual engineering to reach.
- Server-side testing is a paid module: a separate add-on rather than a core capability.
- Marketing website orientation: templates and playbooks favor content pages over product-to-checkout flows.
- Post-merger uncertainty: roadmap and pricing have been reorganized since the VWO deal in 2025.
- No revenue per visitor as a native metric: outcomes are reported as generic conversions.
What is VWO Testing, and what is it actually good at?
VWO Testing is a broad A/B testing and experimentation platform for web and full-stack optimization. It pairs a mature visual editor with heatmaps, session recordings, and a well-regarded statistical engine, and it supports multivariate and server-side testing at scale. [VWO, 2026]
VWO is one of the most widely adopted testing tools in the market. It holds a 4.4 out of 5 rating on G2 across 913 reviews. [G2, 2026] Its strength is breadth: front-end and server-side testing, multivariate support, heatmaps, and recordings in a single platform used by marketing and product teams alike.
Pricing is MTU-based and starts at $314 per month, but advanced features (multivariate testing, advanced targeting) sit on the Pro plan from $972 per month. For high-traffic stores, monthly costs can move fast and unpredictably as unique visitors climb.
Shopify integration is limited: installation is manual and native checkout experiment support is not there. VWO treats a store like any other website rather than a purpose-built commerce funnel.
Full-stack A/B testing runs experiments on the server rather than in the browser, so a variant can change back-end logic, pricing rules, or API responses without a flicker. VWO Testing offers this alongside its front-end tools. It is a general web and application testing layer, distinct from running a Shopify-native experiment on product, cart, and checkout that reports the outcome in revenue per visitor.
Where VWO Testing is genuinely strong
- Mature visual editor: a stable, widely used interface for front-end variant building.
- Statistical engine: Bayesian analysis that CRO practitioners generally trust.
- Heatmaps and recordings built in: diagnosis and testing in one platform.
- Full-stack and multivariate testing: deeper capability than most no-code testers, on the Pro plan.
- Broad integrations: connects to most analytics, CRM, and CDP tools.
Where VWO Testing hits its ceiling for an eCommerce store
- MTU-based pricing: costs scale sharply with traffic, and Black Friday spikes hit the bill.
- Advanced features gated by plan: multivariate and behavioral targeting require the Pro tier from $972/mo.
- Shopify integration is manual: no native app, no checkout-level experiment support.
- Generic web focus: the platform is built for any website, not for a store's product-to-checkout path.
- No revenue per visitor as a first-class metric: outcomes come back as clicks and conversions.
What AB Tasty and VWO Testing cannot do for an eCommerce store
AB Tasty and VWO Testing are both capable web experimentation platforms, and after the 2025 merger they sit under one parent. They share the same gap for a Shopify store: both are built around a generic web page, not around product, cart, and checkout, and neither reports the outcome in revenue per visitor.
AB Tasty is oriented towards marketing website experimentation and feature management. It has no native Shopify integration and no eCommerce-specific experiment templates, so teams using it for store CRO must build checkout integrations by hand and cannot run revenue-focused experiments natively on product and cart flows.
VWO Testing is optimized for front-end web testing across any website type. It also lacks native Shopify integration and eCommerce-specific templates, and teams running store CRO on it end up wiring checkout experiments themselves without purpose-built commerce tooling.
The shared gap is the point: both tools treat a Shopify store like any other website, and the surfaces where store revenue is decided (the product page, the cart, and the checkout) are not the surfaces the tools were designed around. Neither is built around the Customer Value Optimization question either: whether a result holds for repeat, high-value buyers, not only first-session visitors.
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 variant raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not only a click or a micro-conversion.
- Which surface to test first. Which pages in the store funnel (product, cart, checkout) carry the highest revenue impact if tested next, prioritized against store data rather than a generic web page.
- How it behaves in Shopify checkout. How the experiment interacts with the Shopify catalog, variants, and checkout flow natively, without a developer building glue code for every test.
- Whether it holds for repeat, high-value buyers. Whether the result holds for high-CLV customers, the Customer Value Optimization question, not only for first-session traffic.
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: 85.1% never show the full order cost before the final step, and 94.2% do not display checkout progress steps to the shopper. [CROBenchmark Report 2026, Omniconvert]
A generic web tester can run a headline A/B test on the homepage, but it cannot test the fix on the Shopify checkout where the money is lost. Omniconvert Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor, so a winning variant that only lifts a top-of-funnel click but does not move order rate does not get called a win.
This is what the title means by web testing versus Shopify revenue. AB Tasty and VWO Testing were built for the generic web and now share a roadmap under one parent. Explore is built for the store, and because Customer Value Optimization ties each result back to repeat, high-CLV buyers, the lift it confirms is margin the store actually keeps. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
AB Tasty vs VWO Testing vs Explore: the capability comparison
Side by side, the three tools sit at different points on the eCommerce experimentation map. AB Tasty pairs no-code testing with feature flags for marketing sites. VWO Testing adds full-stack and multivariate testing plus heatmaps for the general web. Explore is the Shopify-native layer that runs the same class of experiments on product, cart, and checkout, measured in revenue per visitor. See A/B testing with Explore for how those experiments run natively on the store funnel.
| Capability | AB Tasty | VWO Testing | Omniconvert Explore |
|---|---|---|---|
| Primary function | Web A/B testing plus feature flags | Web and full-stack A/B and multivariate testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual editor plus flags | Yes visual editor plus full-stack | Yes visual plus code editor, native on Shopify |
| Multivariate testing | Yes | Yes Pro plan from $972/mo | Yes |
| Server-side testing | Partial paid add-on module | Yes full-stack included | Yes |
| Visual editor | Yes no-code, marketer-friendly | Yes mature and widely used | Yes visual plus advanced targeting |
| On-site surveys and overlays | Partial personalization overlays, no surveys | Partial surveys via separate VWO module | Yes surveys and overlays built in |
| Shopify integration | Medium installs but no native checkout testing | Limited manual setup, no native checkout support | Yes native |
| eCommerce focus | Medium marketing-site orientation | Medium generic web testing at scale | High built for store revenue workflows |
| Revenue per visitor measurement | No generic conversion metrics | No generic conversion metrics | Yes revenue per visitor and order rate native |
| Pricing model | Custom, contact sales, free trial | MTU-based, from $314/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Marketing teams wanting testing plus flags in one tool | Marketing and product teams running front-end and full-stack tests at scale | 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 Tasty and VWO Testing merged in 2025 and their roadmaps continue to converge under the same parent. 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 Tasty or VWO Testing?
Decide by fit to the store, not by the merger. If your team runs marketing-site experiments alongside feature releases, AB Tasty covers that. If you need front-end plus full-stack testing at scale on a generic web app, VWO Testing does the job. For a Shopify store, run the next revenue-critical test on the product-to-checkout path in Explore, measured in revenue per visitor, not in generic conversions.
AB Tasty and VWO Testing are both capable web experimentation platforms, and after the 2025 merger they share a parent company and a converging roadmap. AB Tasty is marketing-first with feature flags. VWO Testing is broader in scope, with full-stack, multivariate, and native heatmaps.
The question for a Shopify store is narrower: once you can run a test, can you run it on the product, cart, and checkout surfaces where store revenue is decided, priced on sessions instead of MTU spikes, and read the result in revenue per visitor. That is the surface Explore is built for, and the metric Explore optimizes for directly.
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.