Answer: Start with a quick rundown of the key events and KPIs - sometimes, even random tweaks can mess up analytics. If they sit with the team that actually uses this data, they might start seeing the value in keeping everything intact.
Integrate Automated Testing
Automated testing tools are a lifesaver. I usually use Cypress and Jest. They can check out your dataLayer and tags at the client-side level, so if something breaks, you’ll know right away. It’s an excellent peace-of-mind move for devs who don’t want to babysit tracking. Tools like Trackingplan can catch when more important events - like “add to cart” or “checkout” - aren’t working right.
Don’t Skip Regression Testing
Consider adding some regression tests for your analytics before each release. Depending on your setup, you can go manual or automated, but these tests help catch broken tracking before it hits production.
Real-Time Alerts Keep Devs in the Loop
Setting up real-time alerts for tracking issues is another solid move. Have your analytics platform send notifications if anything major stops working—maybe even set it up so devs can check tracking health as part of their deployment process. Tools like Datadog can send alerts in Slack, email, or Teams if tags stop working right, helping to keep surprises to a minimum.
Manual Monthly Audit
I regularly sync up with the dev and marketing teams and managers to see if the numbers look 'ok' or if something is off or needs more tracking added. Some things can easily slip through automation. Plus, it allows everyone to catch up on the latest items and goals.
