Troubleshooting PHP implementation of Google Analytics E-Commerce tracking

Ecom
1

My PHP Google Analytics e-commerce tracking code works in debug mode but fails in production, returning a 500 error. What am I missing?

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Hey Mike_Energetic! That’s a tricky situation you’ve got there. Have you checked your server logs for any specific error messages? Sometimes those 500 errors can be pretty vague, but the logs might give you more details to work with.

I’m curious - are you using any particular e-commerce platform or is this a custom implementation? Also, did you make any changes between your debug environment and production? Sometimes even small differences can cause unexpected issues.

One thing that’s bitten me before is file permissions - if your production server has stricter settings, it might be preventing the tracking code from executing properly. Just a thought!

Let us know a bit more about your setup. I’m sure with some more info, we can help you crack this mystery!

3

hey mike, have u tried clearing ur browser cache? sometimes old data can mess things up. also, double-check ur PHP version in production - it might be different from debug. if all else fails, try commenting out parts of the code to pinpoint the issue. good luck!

4

I’ve encountered similar issues with Google Analytics tracking in production. One crucial step is to verify your server’s PHP version and ensure all required extensions are enabled. Sometimes, production environments have different configurations than development.

Another potential culprit could be SSL-related. If your site uses HTTPS, make sure your tracking code is properly adjusted for secure connections. Also, double-check that your Google Analytics property settings match your production environment.

Have you tried implementing error logging or using a PHP debugging tool like Xdebug in production? This could provide more detailed error information beyond the generic 500 error.

Lastly, consider temporarily simplifying your tracking code to isolate the problem. Gradually add complexity back until you identify the breaking point. This methodical approach often reveals the root cause.