I went on Jeff Sauer's Measure U podcast for a hands-on look inside Wicked Reports, and how AI and attribution work together to let you scale ad spend with confidence instead of crossing your fingers.
The premise Jeff and I start with is one I say a lot : your ad platforms are, in effect, grading their own homework. The default dashboards are built to make the platform look good, and most marketers trust them right up until the growth stalls and it is too late to easily fix. This episode is about replacing that blind trust with a measurement system you can actually verify.
We walk through the methodology top ecommerce brands use to fix broken attribution, and a big piece of that is segmenting new customers from repeat ones. If you cannot tell the difference, you cannot tell whether your ads are growing the business or just re-converting people who were coming back anyway. From there we get into setting rules-based bidding thresholds and letting budget scale or get cut based on real performance, rather than gut feel.
Because it is Measure U, we also do a proper platform demo. I show FunnelVision reporting, which maps the full customer journey across Google, Meta, email, and more, so you can see every touch that led to a sale instead of just the last click. I walk through the Scale, Chill, and Kill logic that buckets campaigns automatically based on performance thresholds, so a wall of data becomes a short list of decisions. And I show new customer signal tracking, which trains Meta to go after better buyers by feeding it the right signal, plus how the Five Forces framework bakes rule-based decision making into the whole ad strategy.
If you are a media buyer, agency owner, or marketing ops lead, this one is a practical blueprint for lining up your measurement with actual profit. Watch the full episode below.