Abandoned Cart Journey and Revenue Calculation
We have launched an Abandoned Cart Journey (Canvas) for an eCommerce site and we are setting it up with this configuration "Cart Updated" event as entry criteria "Cart Updated" event as exit criteria to support moving the "Abandoned Cart" email delay to start at the last time the user updates the cart "Make Purchase" event as exit criteria to not email folks who made a purchase and "Purchase" as the conversion event and Two Abandon Cart emails with a X and Y duration delay After we launched this journey, we are finding that the revenue reported in canvas reflects the full revenue of the site and not just the revenue from folks who have received an abandoned cart email. This is because all e-commerce buyers will have "Cart Updated" events and hence will be added to this journeys. Customers who finish making the purchase will be removed from this journey due to the exit criteria but are still considered as part of the conversion event and revenue calculation. Is there a way around this? Is the roadmap feature for "Deeper Conversion Attribution" in the Planned Set aimed at solving this?Help with Query around custom event properties
Hey all! Trying to run a query to output volume of a specific custom event (with a specific property) performed by users who entered a specific canvas. I'm using the USERS_BEHAVIORS_CUSTOMEVENT_SHARED table, which includes event "name" and "properties" (according to the documentation --- Custom properties of the event stored as a JSON encoded string). I managed to output the total event occurrences but got stuck when it came to filtering by event property and pretty sure it's a syntax issue... Query - Total Voucher Redemptions: This looks at total "Voucher Redeem" events from users who entered the specified canvas. WITH canvas_users AS ( SELECT DISTINCT user_id FROM USERS_CANVAS_ENTRY_SHARED WHERE canvas_api_id = 'XXXXXXXXXXXXXXXXXXXXXXXX' ), voucher_redeems AS ( SELECT DISTINCT user_id FROM USERS_BEHAVIORS_CUSTOMEVENT_SHARED WHERE name = 'Voucher Redeem' ) SELECT COUNT(DISTINCT cr.user_id) AS users_redeemed_voucher FROM canvas_users cr JOIN voucher_redeems vr ON cr.user_id = vr.user_id; Query - Filter by specific property: I need to basically filter above to only include event occurrences where the "Voucher Redeem" property "campaign_name" matches a specific string. Just can't figure out how to do it. Chat GPT advised me the following, but I get zero results. WITH canvas_users AS ( SELECT DISTINCT user_id FROM USERS_CANVAS_ENTRY_SHARED WHERE canvas_api_id = 'XXXXXXXXXXXXXXXXXXXXXXXX' ), voucher_redeems AS ( SELECT DISTINCT user_id FROM USERS_BEHAVIORS_CUSTOMEVENT_SHARED WHERE name = 'Voucher Redeem' AND REGEXP_LIKE( PARSE_JSON(properties):campaign_name::STRING, '[XXXX]' ) ) SELECT COUNT(DISTINCT cr.user_id) AS users_redeemed_voucher FROM canvas_users cr JOIN voucher_redeems vr ON cr.user_id = vr.user_id; Has anyone successfully queried event properties and can shed some light on the solution here? Much appreciated!Tracking Comms Cadence Across Manual and Automated Messages
I'm looking to get a sense of the average comms cadence our members typically receive. It’s a bit tricky to assess since our messaging is highly targeted and includes a mix of automated and manual communications. Just wanted to see if anyone else has successfully tackled this—I’d love to hear what’s worked for you!Reporting for Canvas steps
Hi all, We’re currently exploring how to build a reporting pipeline from Braze to our data warehouse and would like your input. Specifically, we’re trying to track the journey a contact takes through a Braze Canvas: from entry to any conversion or exit, and export this data for analysis. Our objectives: Understand which steps a contact entered, converted on, or exited from. Capture timestamped events (ie. entry, conversion, exit, etc.) in a way that allows us to reconstruct the user’s path. Push this data into our data warehouse for reporting. We believe the following Currents event tables might be useful: USERS_CANVAS_ENTRY_SHARED USERS_CANVAS_CONVERSION_SHARED USERS_CANVAS_EXIT_MATCHEDAUDIENCE_SHARED USERS_CANVAS_EXIT_PERFORMEDEVENT_SHARED Possibly: USERS_CANVAS_EXPERIMENTSTEP_* for A/B paths We’d like to confirm: Are these the correct tables for capturing the step-by-step journey through a Canvas? Are there best practices for joining or correlating this data in our data warehouse? Should we stream this via Braze Currents, or is there a better approach for deeper Canvas-level reporting? Any advice, sample schemas, or learnings from similar setups would be hugely appreciated! Thanks, Coralie
