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AB Tasty

AB Tasty is an experimentation and personalisation platform for web and product teams.

Written by Reflective Data experts · updated Oct 5, 2026

It combines a visual editor, server-side feature flags and AI-assisted personalisation features.

It is often used by e-commerce and marketing teams.

related

A/B testFeature flagPersonalization

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We set up, audit and run experimentation programs on any tool. AB Tasty services → · Audits

more in experimentation

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Novelty effect

The novelty effect is a temporary change in behaviour caused simply by something being new.
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Kameleoon

Kameleoon is an experimentation and personalisation platform covering both web and feature experimentation.
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Exposure logging

Exposure logging records the moment a user is actually shown a variant, so analysis only includes…
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Progressive delivery

Progressive delivery releases a change to a small share of users first and expands gradually while…
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Peeking problem

Peeking is checking results repeatedly and stopping the moment they look significant, which inflates false positives.
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Win rate

Win rate is the percentage of experiments that produce a significant improvement.

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