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How to run A and B testing in Bubble

Discover how to run A/B tests in Bubble with simple steps, best practices, and tips to optimize user experience and boost conversions.

Matt Graham, CEO of Rapid Developers

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How to run A and B testing in Bubble

A simple and reliable way to run A/B testing in Bubble is to store a user’s assigned variant (A or B) in the database once, then show different UI or workflows based on that field. You also log the user’s actions (like clicks or conversions) in another field or in a separate “Event” data type. This gives you consistent testing and clean data.

 

How to set up A/B testing in Bubble

 

The core idea is: when a user first arrives, you randomly assign them to Variant A or Variant B and save that value on their User record. From then on, you show or hide groups, run workflows, or change text based on that saved field.

  • Create a field on the User data type: “ab\_variant” (text).
  • When the user signs up or first loads the app, run a workflow that assigns either “A” or “B”. You can use Bubble’s :random item from a list.
  • Use conditionals (for example: When Current User’s ab\_variant is “A”) to show the A version of the UI.
  • Track conversions by updating another field or creating a new object like “AB Event”.

 

// Example action in a workflow to assign a variant
Set field ab_variant = ["A","B"]:random item

 

Logging results

 

You should record when a user performs the key action you’re measuring (e.g., “Clicked CTA”). A simple approach is to add a yes/no field on the User like “clicked\_cta”, or create a separate “AB Event” entry each time something important happens.

  • If the action is single-use (e.g., first conversion), a yes/no field works fine.
  • If actions can happen multiple times, store them in a separate data type “AB Event” with fields: user, variant, event\_type, timestamp.

 

Analyzing A/B results

 

Use Bubble’s built‑in search in the Data tab or create an admin page. Query “Users where ab_variant = A and clicked_cta = yes” and compare to variant B. For event‑based setups, search and count “AB Event” records grouped by variant.

  • Make sure privacy rules allow only admins to view A/B analytics.
  • Once you have enough data, decide which variant performs better and remove the losing version.

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