Guidance on Limiting Audience per Experiment Path in Canvas
Hi everyone, I'm looking for some guidance on a use case I'm currently working on. I want to implement a spinning wheel IAM using a single Canvas that includes 5 experiment paths. The goal is to limit the number of users entering each path — for example: Offer A (Path A): 150 users Offer B (Path B): 100 users And so on... While the experiment path node in Canvas allows user distribution using percentage splits, I’ve found that it doesn't always behave as expected — especially with small total audience sizes (e.g. 10–20 users). During a live test with internal team members, the users were not evenly distributed across paths, despite using balanced percentage settings. My questions: Is there a minimum user count required for the experiment path % splits to work accurately? Is there any official documentation explaining how this percentage-based distribution works under the hood? As an alternative, I’m considering building 5 separate Canvases or campaigns, each with entrance caps to control how many users receive each offer. However, it would be ideal if Canvas supported audience caps per path directly. Any tips, documentation, or suggestions would be greatly appreciated! Thanks in advance! Siva
Segmenting on custom event properties without exact match
Wondering if there's any smart ways around this. We have a "UI - PageLoad" custom event with some property parameters that reports whenever a user visits a page on our platform. It includes custom properties for pathName e.g. "/some-page-url" host e.g. "sub.ourdomain.com" When I build a segment that uses X Custom Event Property in Y Days, there's only an 'exact' match option. i.e. There's no way to build a filter that would be 'anyone with the UI Page Load event where the pathname includes {text} somewhere in the value. Essentially, trying to build a filter that would encompass multiple pages visited that all share a consistent text string in the pathname somewhere. e.g. matching any of /articles/number-one, /articles-number-two etc etcBraze Catalog Selections: How to Send Personalized Recommendations
Braze Selections continue to be an exciting feature for streamlining and automation. What's amazing is that the selection filter values accept Liquid, something that's not possible in the regular audience filter in Campaigns/Canvases. Dynamic entry is one area where we continue to run into hurdles with Braze, although with the introduction of Context Steps, we're hopeful that this will change in the future. Check out this video to learn how we're sending PERSONALIZED RECOMMENDATIONS using Braze Catalog Selections!
Using Liquid to identify users in a segment
I'd like to have an element of an email show or hide based on if a user is within a segment using - Is this possible with Liquid? I've been hitting a brick wall with this and any solution i've found seems unnecessary convoluted - Am I missing something here? Thanks in advance!How to get started with Braze AI
My company is a B2B banking platform, and our current product marketing approach follows a traditional deterministic model, relying on 'if-then' logic. However, we want to move beyond static flowcharts and drip campaigns to a more dynamic, data-driven next-best action model. I’d love to hear recommendations on where to start. What are the key steps to making this transition successful? And how can I best equip my data team with the insights and resources they need to build an effective system?Custom Event + Properties
So, I am triggering a few custom events which contains a few properties as below appointment_booked (appt_time, appt_location, app_details, appt_virtual) all strings except for appt_virtual which is boolean In canvas config, I am segmenting users which has received the appt_virtual event more than 0 times I have a action path activity with x2 actions (performed custom event appt_virtual where appt_virtual is true) and the other action where is false. all users are going to the "everything else" path? why ? and decision split or audience path doesnt allow me to filter based on the custom event properties, whats going on? why such limitation. whats the correct way to configure it?
Segment Builder funnel stats design
Hi everyone! I'm Nancy, the designer at Braze working on our segmentation tools. We've received feedback about wanting to see funnel stats in our updated segment builder design to easily track reachable user increases and decreases. As I work on this design, I'd love to get your feedback, and I have three questions that will help inform our design decisions. Each question is associated with the screenshot directly below it, and we recommend you answer the first one before viewing the second screenshot, etc (because later screenshots will "give away" some info). Thank you in advance, and let me know if you have any questions! Question 1 Looking at this image below, could you tell us what you would do if you wanted to see per-filter funnel stats (ie. what step you take, where would you click to view this info)? Question 2 Looking at this image below, the second filter group contains two filters, Language and Age. What would you expect the number "350k – 400k" under the Language filter represents? 350k - 400k is the number of all users that fall under the specific Language filter, irregardless of whether they fell into prior filters (in other words, does not take into account prior filters) 350k - 400k is the number of all users that fall under the Language filter and the prior filters in filter group 1 (in other words, it takes into account all filters up until that point) Question 3 Looking at this image below, what would you expect the red number in the group footer to represent: It represents the estimated user that fall under all the filters from group 1 and 2 It represents the estimated user in group 2 onlyReferral Strategy
Hello Braze Community! I’m currently working on creating a referral strategy to drive new user acquisition through our most engaged users. I’d like to start a thread with all of you to gather inspiration and discuss different flows we could implement. So far, I’ve identified the following key moments: After a user gives a high rating in our review After a purchase Targeting our most engaged users After a user completes an “aha moment” in our app What do you think? Which strategies have you implemented to carry out a referral strategy. Best regards, Sergio
Replenishment Campaigns
Hi We sell a products that gets replenished every 30-40 days or so. We want to send a campaign that asks users 30-40 days after they purchased if they are ready to replenish the product. We would want to send the user to the product page of the item that they purchased initially. Have you built something like this before? Any best practices? Thank you!
