How to record the origin of all users in Braze - Best practices
I'm looking to hear from someone who records the origin of all their Braze users and how best to do this. Do you use a custom attribute? If not, what do you use? Or do you record it outside of Braze? We’re looking for the best way to identify where each user in our database originated from and how they entered our database. For example: A conference or industry event Created manually by one of our staff in our CRM Our product user database - businesses add their employees to provide them with access to our product, which then syncs to Braze Free product trial sign up Social media e.g. YouTube, Facebook, etc. Ad campaign etc This is part of but different to attribution - we're also currently working on a multi-touch attribution dashboard covering all touchpoints with various attribution data models. How do you record and structure the origin data in Braze? thanks a lot!Data migration Braze <> Braze best practice
Hi! I'm working on migrating data from one braze instance to another and I have some questions regarding best practices that I haven't been able to find in any braze documentation. Is there a QA template or checklist for testing after a data migration or a new integration with another platform? What would be the best practice? For example, is sample testing on a few user profiles recommended, or how do you approach QA post-migration in the best way according to Braze? Is possible to clone any of the below via API or do they need to me manually recreated in the new instance? Campaigns Internal Users Email Templates Content Blocks Media Templates Thanks! BR, EmiliaQuestion #2 on testing for BlaBlaCar - Test and Learn AMA
Guendalinawhen it comes to reporting and attribution, do you use Braze to evaluate campaign and flow performance or do you rely on some of the powerful Braze integrations with analytics platforms like Looker, Amplitude, etc? We've done both, for different use cases, but I've always found it better to use integrations and apply an attribution model that weighs all marketing channels appropriately (paid media included). The Braze Looker Blocks, specifically, were a huge help at an early-stage startup where analytics resources were limited.Webinar Recording: Customer Roundtable: SQL Tools in Braze
Hi everyone! Braze Learning recently hosted a customer roundtable on SQL Tools in Braze (Query Builder and SQL Segment Extensions) with Braze Product Manager Guransh Singh and Braze customer Qliro. We explored: Overview -What are Query Builder and Segment Extensions? Why use these tools? Live Product Demo- What data we make accessible for querying, how it's stored in Braze, and how to get started with these tools in Braze Use cases and examples from real Braze customers- Braze customer Qliro joined us to share more about their implementation of SQL Segment Extensions Q&A If you didn't see it live, you can check it out at this link! Want more webinars?Our next webinar will be hosted with our 427 Innovation Lab - we'll be covering exciting new AI use cases in Braze from their Melting Points AI Guide - sign up here to join us on July 2nd or receive the recording! Curious about the latest product updates in Braze?Check out our latest monthly Discover What's New webinars covering product updates from April and May - and sign up to receive June's webinar!
See the history of changes to a custom attribute
Hello! I would like to know if it's possible to see what, when and how often a custom attribute was updated. For example: 15/06 external_id: xyz name: Jack 17/06 external_id: xyz name: Peter In that example I would like to see when external_id, xyz, changed name from Jack to Peter. I'm asking as we have had a few cases where we believe users shouldn't have received an email from us and I want to verify when a custom attribute was updated and to what. Hope that makes sense! Cheers!
