Most annual marketing plans are a list of channels with numbers next to them. The six decisions, in order, that turn next year’s plan into an instrument instead of an artifact — and where AI actually belongs in it.
Attribution shows what preceded revenue; only a holdout test proves what caused it. The five-step, no-statistician framework for running your first one.
AI agents don’t need smarter prompts — they need a written permissions boundary, review queue, and rollback path before they touch production marketing.
Boards don’t ignore marketing because the numbers are bad — they ignore it because nothing on the page is something a board can actually govern or decide.
Your agency’s monthly report was written by the party it evaluates. Seven questions, no marketing expertise required, that trace every claimed win back to your own CRM and bank account.
Attribution is not a truth machine — it’s a decision-support tool. The honest model comparison, the four places every report lies, and the keep/cut/test framework that runs on tools you already own.
The most expensive leads are the ones you never see. Lead leakage is a plumbing failure — five specific leaks, a one-day audit to measure yours, and the architecture that stops it.
Sales says the leads are junk; marketing says sales never works them. Alignment is a contract problem — a signed lead definition, a pickup SLA, and mandatory dispositions.
You already paid for the lead. Speed to lead is a systems property — routing, single ownership, a visible clock — not a hustle property. How to measure yours and fix it without hiring.
A prioritization scorecard for AI marketing use cases — impact, quality risk, setup effort, and dependencies — and why the boring workflows usually win.
A practical AI readiness framework for B2B marketing teams: five dimensions — strategy, workflows, skills, data, governance — plus a quick self-assessment.