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Changelog

What is Changelog?

Changelog is a product that is built out of a process.

That is, how would you know if an affiliate program has changed any data in the backends?

The truth is, if you're not using a service like StatsDrone to track your revenue and traffic stats, you would likely never know if an affiliate program has changed any data. 

What are the ways in which an affiliate program can shave your commissions?

  1. Deleting or untagging players from your account directly
  2. Adding winning players which can wipe out your commissions
  3. Moving players from one campaign to another that has no deal attached to it

This is what it looks like in raw format comparing 2 data sets and building the changelog.

Here you can see data that has change in 1 of the 4 categories:

  • New
  • Updated
  • Removed
  • To_zero

When we put this data into Tableau, we can start to visualize these changes a little better.

Whatever you do, never go without changelog again and always know what your data is today and be able to compare it in the future looking at the past of what it used to be. 

If you want help with Changelog, contact us asap in the app or here. 


John Wright
By John Wright
, March 7, 2025

Frequently Asked Questions

Have more questions? Click here to contact us.

What are some patterns in data that might suggest something fishy is happening with my affiliate accounts?

Sometimes when analyzing data, we can notice that some programs will have a spike of winning players in the last few days of the month. This is frustrating when you were expecting to earn a commission from that program. Where it gets important to measure this is to know how often does that specific program have winning players. If this happens say 4 out of 12 months in a year, it might be very suspicious behaviour that is worth investigating.

How do you know when data has changed?

Actually we don't know when any data has changed. The process involves comparing data recorded at 2 different periods in time where they shouldn't change, but we notice they are changing. It is up to you as the analyst to understand what these changes mean.