Hi everyone!

I wanted to share one of my favourite marketing data solutions: Data Quality Monitoring!

And it’s because I'm always the person in the room asking what's the processes, what's everyones role, whose documenting these and so on. I love structure and processes. So I love this solution for two reasons:

First being that most often people only think to use their data to report how campaigns are performing and forget that the data can be used to monitor the data.

Second is that it can minimize the human errors significantly. No matter how much we automate or utilize AI there will always be some element of the process that remains susceptible for errors.

In the example dashboard you can see tracking of misnamed campaigns and URL’s. But it could be UTM’s or something else which role is to make sure your data remains quality ! Since we all know garbage data leads to garbage insights!

So I wrote a whole blog post about how to monitor and improve your marketing data quality to our blog. If you've ever struggled with misnamed campaigns or missing UTM's have a quick read here https://supermetrics.com/blog/marketing-data-quality

What’s your different or favourite way of utilizing marketing data?

ps. If you're wondering what Aquametrics is: it's our fake company for demo purposes