Every marketing question should have an answer in minutes — not on Monday.

Marketing teams of five or fewer.

Teams with no dedicated analyst. Teams where the head of marketing is also the person staring at Looker at 11pm. You don't need another tool — you need someone to challenge what you're measuring, rebuild the mental model, and leave behind a data layer your team actually trusts.

Your team is asking the right questions. The answers are arriving three weeks too late.

Every small marketing team in 2026 has the same problem: the data exists, the tooling exists, the models exist — but nothing talks. So the head of marketing still asks, the answer still takes until Friday, and by then the decision was already made on gut. AI-native teams closed that loop years ago. Everyone else is paying the tax every week.

The question arrives Monday. The answer lands Friday. — The decision was already made Tuesday. Your small team is waiting on data instead of being served by it.

There is no analyst on the team — So the head of marketing does it — badly, at midnight — or it doesn't get done. Either way, you're losing.

Attribution leaks; nobody trusts the number; everybody quotes it anyway — Every decision carries an asterisk no one says out loud. That's not data-driven marketing. That's theatre with numbers.

Beautiful, wrong dashboards — The team has learned to work around them instead of fixing them. Institutional blindness disguised as process.

A small team without trustworthy data doesn't make decisions — it performs them.

From 'ask the analyst' to a data layer any teammate can interrogate.

Here's my promise: you and I sit down together, challenge what's being measured and why, and define the data playbook your team runs on afterwards — the attribution model, the AI interface, the governance. I don't hand you a dashboard and leave. We build the thinking together, and it stays with you.

Data infrastructure mental model — We map where the data should live (BigQuery, Snowflake or similar), what the single source of truth looks like, and what the team needs to stop arguing about.

Text-to-SQL and text-to-insight thinking — I teach the team to use AI agents as the interface to the warehouse. Governed, explainable, trusted — not magic.

Automated anomaly detection — A weekly insight pack the stack generates on its own. Surprises find your team — not the other way round.

Forecasting in plain language — 'What happens to CAC if paid drops 30%?' — a question your team learns to answer in seconds, not spreadsheets.

Attribution you can defend — A model your CFO nods at, the team uses, and that survives platform updates.

Marketing data literacy — Every teammate ends the engagement able to read the data — not just nod at the deck.

The data playbook you and I define together.

• A marketing data architecture diagram — and the cleanup plan to get there.
• Attribution you can defend in a board meeting.
• An AI interface that lets anyone on the team ask live questions.
• A weekly auto-generated insight pack — with a rubric for human review.
• Governance the whole team understands: who, what, how, why.
• A measurable drop in time-to-decision across the marketing function.