vs Comparison

Trevo vs Wingify

VWO and AB Tasty now operate as one company and one platform, Wingify. It covers experimentation, personalization, analytics, feature management, and commerce. Trevo is narrower: it finds and writes experiments in your repository.

Reviewed September 24, 2026 · Wingify announcement (VWO and AB Tasty unite), Wingify Experimentation, Wingify Feature Management, Wingify campaign report statistics

Trevo or Wingify — which should you choose?

Choose Wingify when you want a full-suite experience optimization platform and have a team ready to implement the variants. Choose Trevo when implementation is the constraint: Trevo reads the repo, drafts experiments that cite real files, and delivers each approved variant, including server-side logic, as a pull request. When the result is in, it opens the keep-or-revert PR. The difference is who writes the code: Trevo writes the change in your codebase, while Wingify gives your team a suite for building and running tests.

What Wingify does well

Wingify offers A/B, split URL, and multivariate web tests with a visual editor. Its Wingz AI suggests hypotheses and generates variants from prompts or Figma files. Alongside that sit heatmaps, session recordings, and surveys; personalization; commerce search and recommendations; and feature flags, rollouts, and server-side experiments through SDKs in more than 10 languages. Reports use Bayesian or frequentist models, with fixed-horizon or sequential testing.

Where Wingify stops

Wingz generates variants for web experiences, running through Wingify's tag. For server-side and app experiments, the feature-management docs are explicit: engineering implements the variant behind an SDK flag. Wingify's MCP and stale-flag suggestions help with flag configuration and cleanup, but your team still writes and removes the code.

What Trevo does differently

Trevo reads the repo, drafts experiments that cite real files, and delivers each approved variant, including server-side logic, as a pull request. When the result is in, it opens the keep-or-revert PR. The difference is who writes the code: Trevo writes the change in your codebase, while Wingify gives your team a suite for building and running tests.

At a glance

TrevoWingify
Who finds the opportunityTrevo, from a scan of your repo and siteYour team, with Wingz AI suggesting hypotheses from behavioral data
Who writes the variantTrevo — every experiment arrives as a pull request on a trevo/* branchWingz AI or the visual editor for web tests; your engineers for SDK-based tests
What can changeAny code path: pricing, handlers, prompts, and the front endWeb pages via its tag; server, mobile, and backend code your team implements with SDKs
Where winners end upMerged into your repo like any other changeWeb changes in the tag layer until rebuilt in code; SDK tests behind flags until removed
Losing variantsRemoved by an automatic cleanup PRStale-flag suggestions with line numbers; your team removes the code
StatisticsmSPRT, always-valid — peek anytimeBayesian or frequentist; fixed-horizon or sequential
Beyond experimentationFocused on experimentsPersonalization, behavior analytics, commerce search and recommendations, and web push

Choose Wingify if

  • –Marketers need to launch web tests themselves, with AI generating the variants.
  • –You want testing, heatmaps and recordings, personalization, and commerce tooling from one vendor.
  • –You already run VWO or AB Tasty. Wingify says existing contracts, pricing, and support carry over.

Choose Trevo if

  • ✓Your highest-value tests live in server code, where someone still has to write the variant.
  • ✓You want experiments proposed and written for you, not just a platform to build them in.
  • ✓You want winning code in the repo and losing code removed by a PR, without a tag or flag left behind.

Frequently asked questions

What happened to VWO and AB Tasty?

They merged, and in September 2026 relaunched as one company and one platform under the Wingify name. VWO was already Wingify's product. vwo.com and abtasty.com now redirect to wingify.com, and Wingz AI combines VWO Copilot and AB Tasty's Evi.

Is Trevo a Wingify, VWO, or AB Tasty alternative?

For teams whose bottleneck is building code-level experiments, yes. Wingify is a broad optimization suite whose AI builds web variants. Trevo proposes the experiment from your code, writes it as a pull request, including server-side logic, measures it, and prepares the cleanup.

Can both Wingify and Trevo run server-side experiments?

Yes. Wingify's feature-management SDKs assign server-side variants, and your engineers implement the code behind the flag. Trevo writes the approved variant and its assignment into a pull request for your team to review.

Does Trevo require a script tag?

No. Assignment resolves in your own code from a synced snapshot through the SDK. Front-end changes ship inside your components as code, not as an overlay.

Explore Trevo: for growth teams · for startups · pricing experiments · onboarding experiments · PostHog integration · GitHub integration

More comparisons: Trevo vs Optimizely · Trevo vs Coframe · Trevo vs Statsig · Trevo vs GrowthBook · Trevo vs Eppo · Trevo vs LaunchDarkly

See what Trevo would test on your stack.

Connect the repo and Trevo proposes experiments grounded in what it read. Or preview the ideas on your domain first — the scan is free and cites its sources.