SolutionsStrategic Advisory

A senior data leader in the room when the decision gets made.

Not a deck at the end of a project: someone who knows your numbers, frames the tradeoff, says what they would do, and is still there when it turns out to have been wrong.

What we advise on

The questions we get asked.

Most have come up at a dozen companies before yours, which is most of what you are paying for.

Measurement & growth
Attribution & measurement designone definition the budget meeting can run on
Incrementality & MMM readswhat the result actually supports, before budget moves
Experimentation standardswhat is worth testing, at what sample size
Promo & pricing callsthe margin math, and the cohorts you train
Data & tools
Stack & architecture choicesthe lightest option that fits
Tool & vendor evaluationnothing to resell, nothing to place
Build vs buysometimes you already own something adequate
AI on your datawhere it is ready, where it is not yet
Team & process
Hiring design & sequencingwhat to hire, in what order, what not yet
KPI trees & metric ownershipmost metric disputes are ownership disputes
Reporting rhythms & pre-readsmeetings that start at the disagreement
Decision logsso reviews judge the reasoning, not the luck
Board & investors
Board reportingnumbers that survive an analyst
Diligence prepdefinitions documented, no archaeology
Fundraise metricsthe story and the data agreeing
How people use us

Mostly, a small retainer that bridges tech and business.

A few hours a month of someone who has sat on both sides, so the technical detail and the business call stop being separate conversations.

An ongoing retainer
Engineers and agencies on one side, the P&L on the other, and a standing translator between them. It works because the questions repeat, and we have usually seen yours somewhere before.
A second opinion before a big call
Promo depth, a replatform, a big vendor contract. We frame it, mark a recommendation, and say what would change our mind.
A senior voice while you hire
Fractional cover until the right hire exists, help shaping the role, and an honest read on candidates.
Board & diligence support
The quarter's numbers with the definitions behind them, prepped by people who have sat on the answering side of diligence.

We will sometimes talk you out of work. If a test or a tool cannot change the decision at a cost you can accept, we say so.

Advisory is principals only. The people you would talk to have run data programs at Genentech, JP Morgan, Apple and PG&E, alongside the consumer and DTC brands across this site.

Meet the team

Get in touch.

Tell us what you are trying to figure out. If we can help, we will say how. If we are not the right fit, we will say that too, and point you somewhere better.

01
Free work first
We start by doing a real piece of work on your data, free, so the first thing you judge is output, not a pitch.
02
First build, fixed scope
A trusted core metric layer in weeks, not quarters, at a fixed price. Small enough to be safe, real enough to matter.
03
Scale when it earns it
Month to month from there, from a few thousand a month. You own every model, dashboard and definition.