Counting Ghosts
Analytics serves as a proxy for understanding people, a crutch we lean into. Until eventually, instead of solving problems, we are just sitting at our computer counting ghosts.
This article is spot-on!
Really smart thinking from Stuart on how the randomised response technique could be applied to analytics. My only question is who exactly does the implementation.
The key point here is that, if you’re collecting data about a load of users, you’re usually doing so in order to look at it in aggregate; to draw conclusions about the general trends and the general distribution of your user base. And it’s possible to do that data collection in ways that maintain the aggregate properties of it while making it hard or impossible for the company to use it to target individual users. That’s what we want here: some way that the company can still draw correct conclusions from all the data when collected together, while preventing them from targeting individuals or knowing what a specific person said.
Analytics serves as a proxy for understanding people, a crutch we lean into. Until eventually, instead of solving problems, we are just sitting at our computer counting ghosts.
This article is spot-on!
I don’t run analytics on this website. I don’t care which articles you read, I don’t care if you read them. I don’t care about which post is the most read or the most clicked. I don’t A/B test, I don’t try to overthink my content.
Same!
We’ve got click rates, impressions, conversion rates, open rates, ROAS, pageviews, bounces rates, ROI, CPM, CPC, impression share, average position, sessions, channels, landing pages, KPI after never ending KPI.
That’d be fine if all this shit meant something and we knew how to interpret it. But it doesn’t and we don’t.
The reality is much simpler, and therefore much more complex. Most of us don’t understand how data is collected, how these mechanisms work and most importantly where and how they don’t work.
A deep dive into GDPR.
Got Google Analytics on your site? You should probably read this.
A round-up of alternatives to Google Analytics.
It’s time to have the conversation. You’re old enough to know where stats come from.