◆ Independent oversight for modeling engagements
Your modeler in the room.
When you hire a firm to build a marketing-mix model, a targeting model, or any predictive analytics, you’re spending six or seven figures on work you can’t fully evaluate. I’m the senior, independent expert who sits on your side of the table — choosing the right vendor, holding them to the right standard, and making sure what you pay for actually drives better decisions.
The vendor brought PhDs and a polished deck. Who’s representing you?
Modeling engagements are expensive and opaque. The firm you hire is fluent in methods your team can’t audit, and they showcase the numbers that sell — a beautiful fit, an impressive accuracy stat. But a model can fit your history almost perfectly and still point your budget in the wrong direction.
The measure that actually matters isn’t fit. It’s whether the model correctly predicts the change in results from a change in spend — and that’s exactly the test most pitch decks quietly skip. By the time a wrong model shows up in your numbers, the budget’s already been spent against it.
You don’t need to become a data scientist to fix this. You need one on your side.
An experienced modeler, working only for you
Choose the right firm
I help you define the right success criteria up front, shape the RFP, evaluate proposals, sit in on the pitches, and pressure-test the claims before you sign.
Hold them to the right standard
I audit the methodology and the deliverables, run independent validation, and flag where a model is wrong before you commit budget to it.
Stay represented throughout
I act as your technical advocate for the length of the engagement — keeping the vendor honest and translating between their data scientists and your executives.
I never oversee an engagement I bid to build, and never bid to build one I’m overseeing. When I’m in your corner, I’m only in your corner.
This is for you if…
- You’re about to commission — or are mid-flight on — an expensive MMM, targeting, or predictive-analytics project.
- You’ve been burned before: a model nobody trusts, or a budget call that backfired.
- You don’t have deep modeling expertise in-house to vet vendors or validate what they deliver.
I read the code, not just the deck
Twenty-plus years in analytics. I’ve built these models, and I’ve managed the data scientists who build them — so I know exactly where the weak points hide.
See the work: an end-to-end MMM and budget-optimization project ↗
Read the thinking: why well-fitting models still get budget decisions wrong ↗
Before you sign with a modeling vendor, get a second set of eyes.
A short call costs you nothing and could save you a year of misallocated budget.