Campaigns Translation via API
Hi there! I'm working on an integration that consumes Braze API endpoints for translation. I created a test campaign, enabled languages and added translation tags on the campaign's content. I was able to export the CSV, add translations, and upload the CSV back. But, if I check the UI, I see almost no difference and I don't find any language dropdown or any other method to preview the translation. Also, if I call the GET /campaigns/translations method from the API for this campaign, I get the result: "This message does not have multi-language setup". I'm stuck here and not sure how to proceed. Any advises are more than welcome. Thanks!13Views1like2CommentsHow to add link tracking to an Abandoned Cart URL
Hello, I am using `{{context.${metadata}.checkout_url}}` (from this support article) in an Abandoned Checkout email. According to the guidance in this article I should hardcode the base part of the URL and use liquid for the dynamic part. How does this work when for an Abandoned Checkout URL the full string is dynamically generated? The email editor shows a warning: URL {{context.${metadata}.checkout_url | default: 'https://shop.domain.com}} failed to be assigned an LID.15Views0likes1CommentReferral-style competition using Braze - advice needed
We’re currently exploring a referral-style competition and wanted to check whether Braze offers any native referral mechanics that could support this. Use case: Simple prize-draw referral campaign Users refer friends to sign up for a new app via a unique link or code Each successful app install via that link/code earns the referrer an entry into a prize draw Key requirement: Ability for Braze to automatically generate a unique referral link or code per user (e.g. via email) If anyone has experience implementing something similar in Braze, or can share examples / best practices, that would be really helpful. Happy to clarify any details if needed - thanks in advance!83Views1like3CommentsGmail and Gemini AI
Hey team! I have heard that Gemini AI has been released across Gmail and brands are experiencing lower CTR's and inflated OR's across sends. Have any other brands experienced this? We have seen CTR's been declining for a while now, but have no correlation if it is this impact so wondered if others are seeing the same?69Views0likes4CommentsDelays for Newsletters Sent to Microsoft Inboxes
Hi, We have recently experienced significant delays when sending newsletters to Microsoft inboxes. Has anyone else seen similar issues? At the moment, the delay is around 8 hours. We’re looking for any tips on how to reduce this delay. We’ve already contacted Microsoft, but their response so far is that everything appears to be functioning normally on their side.151Views0likes7CommentsDeliverability Issues?
Hi there, I have an email campaign that has the following metrics in email performance section: Unique Recipients: XX,XXX Sends: XX,XXX (same as above) Deliveries: 90.79% (XX,XXX) Bounces: 0.08% (XX) Spam Reports: 0.01% (X) The Deliveries tooltip suggests this number and the rate are "sends minus bounces". However, my bounces are very low. There is certainly a gap of data that's not being accounted for. Is it likely that the reality is that the Bounce volume being presented is too low and actually there are lots, or could it be that the deliveries volume is higher? Is there a place in the dashboard where more detailed bounce information is available? Ideally I'd like to see a breakdown into hard/soft bounces and ideally a breakdown into domains and failure reasons. Thanks David98Views0likes4CommentsIt happens to the best of us.
Just got this email and I got a wide range of emotions of it. From a slight chuckle for the harmless error, to feeling worried that who ever clicked the launch button will beat themselves for it, and then at the very end I felt a relief "Hey, it can happen to the best of us" P.S. I'm diving in the report builder as soon as a finish waking up.43Views1like1CommentDiscrepency between bounce count on segment vs SQL
While looking into some deliverability questions, I created a segment of recipients who have received any message after 2025-12-03, and where hard bounced is true, and found a size of 114,000 To get some better insight into the causes of these bounces, I ran a query against the USERS_MESSAGE_EMAIL_BOUNCE_SHARED table in the Query Builder, which only shows 297 bounces. Am I looking at the wrong table, or is my segment incorrect? This feels like I have a significant misunderstanding at to what these things represent. Thanks!98Views0likes2CommentsCollecting Team Affinity Data
Hi everyone! I’m working on a project that relies 100% on explicit user data (no implicit/behavioral signals), and I’m trying to determine the best way to capture Team Affinity using Braze tools/features. My main goal is to figure out the best channel (Email, Push, or In-App Message)—or a mix of all—to collect explicit team preference data, then use that data for downstream targeting and personalization. Goal: Assign each user a preferred team (their “team affinity”) based completely on explicit data they provide — not inferred behavior. What I’m trying to solve: I want to build a system where, once a user selects their preferred team, Braze can: Capture and store that explicit preference reliably Update or overwrite it if the user changes their selection later Allow future campaigns/segments/targeting to easily reference this “team affinity” value Trigger follow-ups or automations based on a user’s declared team What I need help understanding: What is the recommended Braze setup for: Storing team affinity (Custom Attributes? Subscription Groups? Catalogs?) Capturing the explicit selection (e.g., In-App Message button actions, email deep links, or other methods) Updating the stored value cleanly when the user changes teams Making the system scalable when there are many teams Ensuring the affinity value can be used instantly for segmentation and personalization If anyone has examples, best practices, or a tried-and-true workflow for managing explicit-preference data like this, I’d love to learn from you. Thank you!93Views0likes2Comments