MMM

Edition #008

Thoroughly enjoyed the MeasureCamp New York the weekend before last, shared more on my experience here. It turns out a few people I knew were going, which was a nice surprise.

A topic du jour has been MMM’s, and getting the right data into them. What format, how much recency, and is your data in the MMM?

I kind of think there is going to be a solid role for synthetic data in MMM’s, I do want to dig into it deeper. But I can see, that some medias reporting could be enhanced with ML created data (i.e. outdoor). And is probably going to be the norm at some point.

Llama3 came out this week too, give it a spin in LMStudio, or over at Meta.ai. It’s impressive.

And finally, I think Google Tag Manager deserves a shout as the under appreciated work horse in analytics. Many use it, and if you want to go deep/custom it opens up so many possibilities.

Notable stories this week

Deals/M&A

Data visualization of the week

  • Plays required to earn $1.

Smartest commentary

  • “The data tech stack in many organizations is more like the streets of Tokyo than the streets of Salt Lake City: organically chaotic, but it gets the job done.” -David McBride.

Datapoints of note

  • 41% of marketers spend at least half of their time preparing data for use in campaigns and analysis. And more than a third say they spend 25% to 50% of their time on the task.

  • 95% of the world’s data is in Enterprises, not on the internet.

  • Vermont, Arkansas, Indiana, Maine, New Hampshire, and Ohio experienced traffic drops of 40% or more around the time of the eclipse.

That’s it,

-Ben

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