Introduction
When building an audience in Bookboost, filters are the rules that determine which guest profiles are included in a segment. This article covers the A/B Testing filter — a special filter that splits your audience approximately in half, allowing you to run controlled A/B tests across two separate campaigns.
This filter is ideal for testing different subject lines, message content, or send times to understand what resonates best with your guests. 🎯
Main Concept
The A/B Testing filter splits your audience based on whether a guest's internal Bookboost profile ID is odd or even. This is not truly random per campaign — it is based on the sequential ID assigned to each profile when it was created in Bookboost across all clients. In practice, the split is approximately 50/50 for most audiences, but it will never be exactly equal.
Each filter has an Include or Exclude toggle that determines which group the audience targets:
Include — targets guests with odd-numbered IDs → this is Group A (~half the profiles).
Exclude — targets guests with even-numbered IDs → this is Group B (~the other half).
To run an A/B test you need to create two separate campaigns, each targeting its own audience — not one campaign with two variants.
Filters
🔀 A/B Testing
Splits an audience into two approximately equal halves for controlled campaign testing.
Include (Group A) — targets guests with odd-numbered internal Bookboost IDs (~50% of profiles).
Exclude (Group B) — targets guests with even-numbered IDs — everyone the Include version left out (~the other 50%).
The split is based on global Bookboost profile IDs assigned across all clients, not per property — so it will never be exactly 50/50.
Configuration and Setup
Build your base audience (e.g. all guests with newsletter consent checking out this month).
Duplicate the audience.
In Audience 1, add the A/B Testing filter with Include → this is your Group A (~50% of profiles).
In Audience 2, add the A/B Testing filter with Exclude → this is your Group B (~the other 50%).
Create Campaign A targeting Audience 1 (e.g. subject line variant 1).
Create Campaign B targeting Audience 2 (e.g. subject line variant 2).
Compare results across both campaigns to determine the winning variant.
Known Issues or Limitations
The split will never be exactly 50/50 because profile IDs are assigned globally across all Bookboost customers, not per property.
This filter creates two separate campaigns — it does not support a single campaign with built-in variant testing.
Support
Please contact us through the 'Talk to Us' option on the left menu in the platform, or through the Bookboost Support email at support@bookboost.io if you have questions or need additional support.