Base·Note Data

Marketing analytics & measurement consultant · New York City

Know which marketing dollars are actually working.

I'm Chelsea Cramer, an independent marketing measurement consultant. I help heads of growth and marketing separate what looks like impact from what is impact, and decide where the next dollar should go, with measurement built to survive a CFO's scrutiny.

$100M → $300M in paid media at Credit Karma, with ROI going up, measured by the MMM and testing programs I built.

Measurement work for

  • Robinhood
  • Credit Karma
  • Intuit
  • Wellhub
  • Talkiatry
Marketing signal pyramid A triangle divided into three tiers: top notes, heart notes, and base notes, representing how quickly different marketing metrics fade or endure. TOP HEART BASE

what fades first, and what's still there when the deal closes

About

Chelsea Cramer, marketing measurement consultant

I'm an independent marketing analytics consultant with 13+ years inside marketing measurement, spanning fintech, health and wellness, and B2B. Base Note Data is my practice. You work directly with me, not a junior team.

At Credit Karma, I built the TV measurement and marketing mix modeling programs and unified media measurement as paid media scaled from $100M to $300M, while ROI went up. At Wellhub (Gympass), I was the first marketing analytics hire and built the function across 14 markets. Today I consult for brands including Robinhood, working fractionally with teams who need that rigor without the full-time headcount.

Credit Karma Wellhub Robinhood Fintech Health & wellness B2B

What growth teams bring me

The questions behind every budget meeting.

Which channels are actually driving growth?

Marketing mix modeling

A marketing mix model (MMM) that separates each channel's real effect from seasonality, macro noise and everything else competing for credit, and turns it into a budget plan finance will sign off on. How I approach MMM

What happens if we cut this channel?

Incrementality testing

Geo-lift, holdout and synthetic control tests that show what actually changes when spend goes dark, so you know before you move real money. How I run incrementality tests

Is our attribution over-crediting some channels?

Attribution

An honest look at what your attribution and platform reporting are getting wrong, reconciled with test and model results so everyone works from one set of numbers.

Why does reporting eat so much of my team's week?

AI for marketing teams

Always-on alerts, automated reporting and templated test plans, so problems get caught the day they happen and analysts spend their time on insight. How I help teams move faster

Can we trust the data underneath it all?

Measurement data engineering

The pipelines that feed your models and reports, built to be reliable enough to run every quarter without a fire drill.

Not sure where to start? Most teams begin with a Measurement Audit: 2–3 weeks, a fixed $12,000, and a prioritized roadmap of what to fix first.

See services & pricing

The thesis

What fades, what lingers.

Top notes

Impressions, clicks, last touch

The first thing everyone smells. Loud and immediate — and gone by the time a deal actually closes.

Heart notes

Engagement, mid-funnel movement

The body of the story. Attribution-modeled contribution that's real, but only ever part of the picture.

Base notes

Incrementality, MMM-derived effect

What's still there after everything else has faded — the signal that actually explains what happened.

Get in touch

Let's talk.

Tell me what's not adding up, and I'll tell you honestly whether I can help. Book a call, or send a note below. I'm based in New York City and happy to meet in person.