AB Tasty vs Adobe Target vs Explore (2026): The Shopify-Native Gap
AB Tasty is a no-code experimentation and personalisation platform, reorganised inside the VWO group after its 2025 merger. Adobe Target is an enterprise A/B testing and personalisation suite inside Adobe Experience Cloud, priced for six-figure contracts. Neither is Shopify-native. Omniconvert Explore is the eCommerce CRO platform for product, cart, and checkout, measured in revenue per visitor.
- AB Tasty is a no-code experimentation and personalisation platform reorganised inside the VWO group after its 2025 merger, with a 4.5 out of 5 G2 rating across 185 reviews. [G2, 2026]
- Adobe Target is an enterprise A/B testing and personalisation platform inside Adobe Experience Cloud, with a 4.2 out of 5 G2 rating across 560 reviews. [G2, 2026]
- The two sit at different scales of the same market: AB Tasty is mid-to-large marketing-team testing after the VWO merger; Adobe Target is enterprise-priced and Adobe-ecosystem-locked.
- Neither has native Shopify integration or store-tuned checkout templates, and neither reports outcomes in revenue per visitor.
- 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 Tasty vs Adobe Target are choosing between two mature testing and personalisation platforms sold to very different buyers. AB Tasty is marketing-first: a no-code visual editor and feature flags, now part of the VWO family after the 2025 merger. Adobe Target is enterprise-first: a full-stack testing and personalisation suite inside Adobe Experience Cloud, powered by Sensei and priced in six-figure contracts. This page covers what each does well, the Shopify gap they share, and when Omniconvert Explore is the right layer for a mid-market store.
What is AB Tasty, and what is it actually good at?
AB Tasty is a web experimentation and personalisation platform. It combines A/B testing, feature flags, and personalisation in one interface, built around a no-code visual editor. Since merging into the VWO group in 2025 it has expanded its feature set and support resources, and remains a popular pick for marketing teams that want to run tests without developer involvement. [AB Tasty, 2026]
AB Tasty is a marketing-team platform first and an engineering tool second. It holds a 4.5 out of 5 rating on G2 across 185 reviews. [G2, 2026] Its strength is breadth for a growth team: a no-code editor for building variants on marketing pages, feature flags for gradual rollouts, and a personalisation layer for audience-based experiences, all in the same product.
Server-side testing is available through a paid add-on module rather than the core plan. Since the VWO merger the roadmap and pricing have been reorganised, and the combined platform now leans on VWO's wider testing and behaviour analytics stack for depth.
No-code experimentation lets a marketer build and ship experiment variants through a visual editor rather than through code, with variant assignment handled by the platform. AB Tasty does this well for marketing-site testing and feature-flagged releases. It is a generic web experimentation layer, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages against native store data.
Where AB Tasty is genuinely strong
- No-code visual editor: marketers build variants without waiting on engineering.
- Feature flags in the same platform: combines experimentation and gradual feature rollouts in one interface.
- Personalisation layer: audience-based experiences alongside A/B and multivariate tests.
- Post-merger depth: access to the wider VWO testing and analytics stack after the 2025 merger.
Where AB Tasty hits its ceiling for an eCommerce store
- Limited native Shopify integration: no first-class connector to product pages, cart, or checkout out of the box.
- No eCommerce-specific templates: checkout flow experiments must be built manually rather than from a store-tuned starting point.
- Server-side is an add-on: a separate paid module is required, not part of the core plan.
- Post-merger uncertainty: pricing and roadmap have been reorganised since the VWO merger, and buyers report a moving target.
- Generic outcome model: no concept of revenue per visitor as a first-class metric on the store funnel.
What is Adobe Target, and what is it actually good at?
Adobe Target is an enterprise A/B testing and personalisation platform inside Adobe Experience Cloud. It combines a visual editor, full-stack server-side testing, multivariate testing, and Adobe Sensei-powered automated personalisation, wired into Analytics, Campaign, and Experience Manager. It is the natural pick for organisations already committed to the Adobe stack. [Adobe Target, 2026]
Adobe Target is one of the most powerful testing and personalisation platforms available for enterprise use. It holds a 4.2 out of 5 rating on G2 across 560 reviews. [G2, 2026] Its strength is depth inside an ecosystem: Sensei-driven Automated Personalisation and Auto-Target pick a winning variant per audience segment, and every experiment can share definitions with Adobe Analytics and Adobe Audience Manager.
Full-stack server-side testing sits alongside the visual editor, so both marketing and engineering can ship variants from the same platform. Pricing is custom and typically lands in the six-figure annual range, and implementation runs through Adobe consulting or a certified partner.
Enterprise personalisation is the practice of tailoring experiences per audience segment at scale, coordinated across analytics, campaign, and content platforms. Adobe Target does this well inside Adobe Experience Cloud, with Sensei-powered variant selection. It is an enterprise personalisation and testing suite, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages without an ecosystem contract or a consulting engagement.
Where Adobe Target is genuinely strong
- Adobe Sensei personalisation: AI-driven Automated Personalisation and Auto-Target pick the winning variant per audience segment.
- Deep Experience Cloud integration: shared audiences and metrics with Adobe Analytics, Campaign, and Experience Manager.
- Full-stack testing: server-side and client-side experiments in one platform, with a visual editor for marketers.
- Multivariate testing: tests multiple element combinations in a single experiment, native to the platform.
Where Adobe Target hits its ceiling for an eCommerce store
- Requires the Adobe stack: most of the value depends on Adobe Analytics, Campaign, and other Experience Cloud modules.
- Six-figure contracts: custom pricing designed for enterprise buyers, not a mid-market Shopify budget.
- Consulting-led implementation: Adobe partner or in-house consulting is effectively required to launch and run the programme.
- No native Shopify connector: product, cart, and checkout have to be wired up as custom implementations rather than as store-native templates.
- Generic outcome model: no concept of revenue per visitor as a first-class metric on the store funnel.
What AB Tasty and Adobe Target cannot do for an eCommerce store
AB Tasty and Adobe Target are the marketing-team and the enterprise-buyer answers to the same generic-web problem. One is priced for a growth team running no-code variants on marketing pages; the other is priced for a Global 2000 buyer standardised on Adobe. Neither is built around Shopify product, cart, and checkout, or around the metric that matters there: revenue per visitor.
AB Tasty is oriented towards marketing-website experimentation and feature management. A growth lead can build a variant in the visual editor without a developer, which is a real advantage. The gap opens when the test reaches the Shopify catalog and checkout: there is no native connector, no eCommerce-specific templates for cart or checkout, and revenue-focused experiments have to be built manually against custom events rather than a native store data model. Post-merger, buyers also report a moving target on pricing and roadmap while VWO reshuffles the combined suite.
Adobe Target is an enterprise platform for teams committed to Adobe Experience Cloud. The visual editor, multivariate testing, and Sensei personalisation are real strengths, but the contract, the consulting requirement, and the ecosystem dependency are the gate. A mid-market Shopify brand cannot absorb the pricing, and there is no native Shopify integration or store-tuned checkout template to build against, so the setup work is custom either way.
The gap the two share is the eCommerce one. Both are generic web experimentation platforms at different price points, one marketing-priced and post-merger, one enterprise-priced and Adobe-locked. Neither treats the product-to-checkout path as the primary surface, and neither reports the result in revenue per visitor. For the wider context on how testing programmes actually move revenue, see Has personalization replaced A/B testing?
The deeper issue is that ownership of the test never quite lands on the person who owns the revenue number for the store. In AB Tasty the marketer owns the variant but the checkout integration still requires custom work; in Adobe Target a consulting team owns the setup and a segment strategist owns the personalisation, but a mid-market growth lead cannot self-serve either one. 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 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 just moved a click or a segment lift.
- 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 a custom connector or a custom Adobe implementation.
- 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 or a Sensei-picked segment.
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: 94.2% never show checkout progress steps to the shopper, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
Those are fixes a CRO lead can hypothesise, mock up, and want to test today. In AB Tasty a marketer can build the variant, but wiring the outcome back to Shopify checkout revenue is custom work, and post-merger the module map for that work keeps shifting. In Adobe Target the fix is a custom implementation gated by a consulting engagement and an Experience Cloud contract. Explore runs the experiment on the real revenue surfaces and reports the outcome in revenue per visitor, without a bespoke integration or a six-figure enterprise contract between the hypothesis and the result.
This is what the title means by the Shopify-native gap. Two capable testing tools, at different scales of the market, and both looking past the surface where a Shopify store's revenue is actually decided. 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 generic testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
AB Tasty vs Adobe Target vs Explore: the capability comparison
Side by side, the three tools sit at different points on the experiment lifecycle. AB Tasty is the no-code marketing layer for feature-flagged web experimentation, now inside the VWO group. Adobe Target is the enterprise personalisation layer for organisations committed to Adobe Experience Cloud. 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 Tasty | Adobe Target | Omniconvert Explore |
|---|---|---|---|
| Primary function | No-code web testing and feature management | Enterprise personalisation and A/B testing inside Adobe Experience Cloud | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual editor and feature flags | Yes visual editor and full-stack | Yes visual editor plus code |
| Multivariate testing | Yes | Yes | Yes |
| Server-side testing | Partial via a paid add-on module, not core | Yes full-stack, inside Adobe stack | Yes |
| Visual editor | Yes strong no-code editor | Yes mature Adobe editor | Yes WYSIWYG for marketers |
| On-site surveys and overlays | Partial personalisation, no native survey tool | Partial personalisation, no native survey tool | Yes surveys and overlays built in |
| Shopify integration | Medium limited, no native checkout connector | Medium possible via custom implementation, not native | Yes native |
| eCommerce focus | Medium marketing-site oriented, not store-native | Medium enterprise-oriented, not store-native | High built for store revenue workflows |
| Pricing model | Custom, contact sales, free trial available | Custom enterprise, typically six figures annually, no free trial | Session-based, built for store traffic, free trial |
| Best for | Marketing teams wanting no-code testing and feature flags | Enterprises committed to Adobe Experience Cloud personalisation | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.5 out of 5 (G2, 185 reviews, as of 2026) | 4.2 out of 5 (G2, 560 reviews, as of 2026) | 4.6 out of 5 (G2, 191 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 Tasty is a marketing-team platform now inside the VWO group after the 2025 merger; Adobe Target is enterprise-priced and tied to Adobe Experience Cloud. 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 Adobe Target?
Decide by where the test needs to run. If your marketing team wants no-code testing and feature flags in one platform after the VWO merger, AB Tasty serves them. If your enterprise is committed to Adobe Experience Cloud, Adobe Target fits that stack. For a mid-market Shopify store where product, cart, and checkout decide revenue, run your next test in Explore and measure the outcome in revenue per visitor, not clicks.
AB Tasty and Adobe Target are both mature platforms in their categories. AB Tasty is a marketing-friendly no-code testing and personalisation suite, now reinforced by the wider VWO stack after the 2025 merger. Adobe Target is a deep enterprise personalisation and multivariate testing platform inside Adobe Experience Cloud, powered by Sensei and coordinated with Analytics, Campaign, and Experience Manager for organisations already running on that stack.
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 a post-merger integration project or a six-figure Adobe contract. 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 191 reviews, G2 , as of 2026