How to eliminate tracking workarounds with Warehouse Connectors
With the latest version of our Warehouse Connectors, more and more of our customers are enriching their product usage data for deeper analysis or even pulling over their revenue and operations data to run full company analytics in Mixpanel.
But something we've enjoyed a lot with the rollout of this feature is sharing with our customers some of the lesser-known advantages of keeping Mixpanel in sync with your warehouse. Here's a good one: You no longer need to rely on clunky workarounds to account for event changes over time.
Many customers often track events like “payment_status_changed” to get around the historic challenge of product analytics' event immutability (or not being able to go back and edit event data). But this process not only burdens your engineering team, it also creates potential for errors and maintenance headaches. If something breaks, backfilling, monitoring, and ensuring accuracy can be a significant challenge.
Fortunately, Warehouse Connectors, now with enhanced Mirror mode, offers a more elegant solution by automatically syncing these status changes from your warehouse.
Simplify tracking and ensure accuracy
Instead of relying on manually triggered status-change events, Mixpanel automatically detects and mirrors any changes in your warehouse data as they occur through change data capture (CDC). This perfect reflection means you no longer need to create complex event pipelines or worry about data discrepancies.
The benefits:
- Improved data accuracy: Mixpanel guarantees data trust by staying in perfect sync with your warehouse, eliminating the need to double-check for accuracy.
- Reduced overhead: By automating the process of capturing changes, you can free up your engineering team to focus on other priorities.
- Simplified data governance: Eliminate the need for redundant status change events that clutter your Mixpanel workspace.
When data changes are automatically picked up, it makes it easier to bring business data into Mixpanel for analysis, and you know your answers can be trusted.
Customer example: Understanding challenges in bookings
Imagine you want to analyze the entire booking process over a customer’s end-to-end journey: “How many total bookings did we drive with this promotion?” From cancellations to fraud to payment failures, there’s many ways that an initial booking might not be representative of total impact. With traditional event tracking, you’d need the workaround of separate events for each step, like ”bookings_request,” "booking_confirmed," "booking_cancelled," and so on.
Warehouse Connectors simplifies this by automatically reflecting the most accurate data from your warehouse. Your data team already reconciles data in your source of truth, and now these changes propagate to Mixpanel without requiring a cumbersome event like "dbt_finalized_bookings_verified." This simplifies data governance and makes analyzing finalized bookings easier.
For more information about the new insights you can unlock with warehouse data, check out this demo from our CEO.
Get started
If you're struggling to analyze changes with traditional tracking workarounds, contact our team to learn more. We can help you set up your first events in minutes.