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Start a pilot and see High Velocity Experimentation on your pages, with review controls your team already expects.
AB Tasty and pagent
AB Tasty is a well-known experimentation and personalization platform, especially across European growth teams. pagent brings the validation: every variation is real code in your design system, and every personalization runs as a controlled experiment.
AB Tasty is a frequent fit for marketing-led experimentation programs that want personalization and A/B testing in one platform. Since January 2026, AB Tasty and VWO are part of the same group (Wingify).
AB Tasty runs the campaigns you plan. The gap is validation and reach: personalizations often go live with no control and no primary metric, and most pages and segments never get a test at all. pagent runs every one as a real experiment, and covers what the campaign plan never reaches.
pagent takes an experiment from idea to live in days, not a sprint or a quarter. Launch capacity stops being the limit on your backlog.
pagent reads the page and the data behind it. Each hypothesis is specific to that page, backed by that data, and ready to run: the kind a senior CRO strategist would write.
pagent builds variations that follow your design system. 4 out of 5 are shippable on the first try, run on desktop and mobile without flicker, and look like your live site because they are real code on your live site.
pagent builds coded variations itself and puts them live on the site. CRO can launch without a developer and without a deploy.
pagent checks its own work and allocates the traffic. The whole team can review and sign off, but nothing waits on a handoff between CRO, design and engineering.
pagent covers the pages, segments and campaigns that never reach the roadmap. The traffic you already pay for runs inside an experiment.
pagent runs every personalization as a real experiment: against a control, on a primary metric, to the statistical standard you already use, whether Bayesian, frequentist or sequential. You see a winner against control, not a guess.
Both matter. AB Tasty excels when you already know the experiment you want to run. pagent covers High Velocity Experimentation where idea and variant production are the constraint.
| Dimension | AB Tasty | pagent |
|---|---|---|
| Experiment velocity | Fast once the creative is prepared | Idea to live in days, creative included |
| Hypothesis quality | Team strategy and campaign planning | Specific to the page, ready to run |
| Variation quality | Editor-driven experiences built by the team | Real code on the live site, following your design system, no flicker |
| Implementation capacity | Coded and server-side changes need a developer | Builds coded variations itself, without a developer |
| Team coordination | Campaign workflows across marketing teams | Checks its own work, allocates the traffic |
| Experiment coverage | Strong for campaign and page experiments | Also covers the pages and segments that never reach a campaign |
| Validated personalization | Broad personalization and audience tooling | Runs against a control, on a primary metric; a winner, not a guess |
Keep AB Tasty for the personalization and test program your marketing team already operates. Add pagent to generate more hypotheses and variations than the calendar currently allows.
Yes. Analytics, A/B testing, and hypothesis management are built into pagent. AB Tasty is not required.
No. AB Tasty remains a strong platform for marketing-led experimentation and personalization. pagent complements it by raising velocity of shippable hypotheses and variants.
The copilot helps your team build faster inside the editor. pagent works without the editor session: it proposes the hypothesis, writes the variation in your design system, and checks its own work before anyone reviews it. Most variations are ready to launch as delivered.
When your team already trusts AB Tasty for program execution, but still cannot produce enough high-quality variants to cover long-tail pages and continuous learning.
Yes. pagent is fully standalone. Combining with Kameleoon or keeping AB Tasty is optional stack design.
Start from the bottleneck. If it is running a test you already specified, AB Tasty does that job well. If it is producing enough good tests to run, that is what pagent is built for.
Start a pilot and see High Velocity Experimentation on your pages, with review controls your team already expects.