Two or three variants
Write variant A, B and an optional C, and set the traffic split between them.
Try different opening messages for your AI chat, split traffic between them, and compare observed add-to-cart and AI-attributed purchase outcomes. Review a recommendation before promotion, or opt into the documented two-arm auto-promote rule.
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The opening message sets the tone for every conversation. Fixed-split tests assign a version deterministically from the session ID and compare outcomes. Assignment persists while that identity persists; changing devices or browser storage can change it.
Add-to-cart drives the recommendation. AI-attributed purchases are shown alongside it. Repeated checks, optional stopping and comparisons against a third arm require care; the current badges do not establish a corrected sequential significance test.
Write variant A, B and an optional C, and set the traffic split between them.
Compare assigned shoppers, add-to-cart rate and purchases per variant, with the observed signal strength shown next to each result.
The UI flags an add-to-cart leader when its absolute pooled z-score reaches 1.96; review purchases and guardrails before promoting.
Two-arm tests only: at least 200 sessions per arm and |z| of 2.33 on add-to-cart, checked when the results page renders. These are operational thresholds, not proof of a future gain.
Start from your current opening message and change one thing: the offer, the tone, or the question you ask.
Choose the split and a review plan before starting. Keep catalog, offers and other interventions steady so you can interpret the comparison.
Promote the winner, keep the test history, and start the next idea.
The opening message shoppers see when the chat opens. Run variant A against B, or add a third variant C, and choose how traffic is split. From Growth you can also A/B test widget themes.
Zubby compares add-to-cart rates using a pooled z-score and displays a recommendation at an absolute score of 1.96. Purchases are a separate, AI-attributed guardrail. The displayed score bands are exploratory heuristics, not a guarantee of statistical certainty; see the method and repeated-check limitations in the guide.
Yes, for two-variant tests with auto-promote enabled. On an A/B Tests page render, Zubby checks for at least 200 sessions per arm and an absolute add-to-cart z-score of 2.33. It then promotes A or B and ends the test. Three-arm tests require manual promotion.
Predefine a review horizon, useful effect size, primary outcome and safety guardrails. Required traffic depends on the baseline and effect; a week or a minimum sample alone does not prove a winner.
Start the 14-day Growth trial, connect your WooCommerce store, and read real shopper conversations before you open the assistant to all traffic.