At Recast we're on a mission to rid the world of wasted advertising spend. No one method or tool is going to get us there, so as well as our own content, we're sharing the best of what we've read on marketing measurement this week.

One thing I'm hearing from clients is that they often can't get the resources from the Data Science team to support on marketing initiatives. It's just really hard to get developers and statisticians to care about marketing, when there are so many other priorities for cross-functional teams.

This is a really tough problem. I used to run a data science team and I always wanted to help as much as I could but data teams are almost always severely capacity constrained. The worst thing that can happen is that the data team over-commits to projects they can’t actually support in the long run (guilty here).

My recommendation to marketers in this situation is to partner with the data team about what’s realistic for them to support, and the data team should focus on the initiatives that best match their skillsets and experience. Everything else should be cut or should be driven via external resources.

We try to read everything out there that's relevant to marketing measurement, and this is the best of what we've read recently.

If you read something great this week, or want to share your own content, submit here.

This is the best of what you might have missed, anything previously posted that is still relevant today.

Just for fun...