Guidance on Limiting Audience per Experiment Path in Canvas

Hi Siva​ 

To build on DenishK's point about Braze experiment paths:

Braze uses random bucket numbers in the backend to distribute users across different experiment paths. Each user is assigned a random bucket number and the split percentages determine which range of bucket numbers corresponds to each path.

For example:

• Path A (20% split): Users with random bucket numbers 0-1999
• Path B (30% split): Users with random bucket numbers 2000-4999
• Path C (50% split): Users with random bucket numbers 5000-9999

Even with 1000 users entering the canvas, you may not get exactly 200 users in Path A and 300 in Path B due to the randomness of bucket number assignment. The actual distribution will approximate the target percentages but may vary, especially with smaller audience sizes.

The random bucket system ensures fair distribution over time and larger audiences, but expect some variance in exact split numbers, particularly in smaller test groups or individual canvas runs.