Most marketing budgets are graded on numbers the ad platforms invented. I rebuild your measurement first, then scale what survives it. Attribution, unit economics, paid acquisition — run by the operator you hired, not an account team.
Figures as stated. No vanity rounding, no "happy partners" counters. The "1" has a story.
Platform-reported conversions overlap, double-count, and claim credit for sales you'd have made anyway. I triangulate platform data, server-side tracking, and incrementality tests so you know what your spend actually buys.
Fix the measurementGeneric playbooks ignore your margins, payback window, and channel mix. I build an acquisition system around your numbers — marginal CAC, cohort LTV, and KPIs that lead instead of lag.
Book a free strategy callNo pitch-team bait-and-switch, no junior media buyer learning on your budget. Twelve years of operating experience, applied directly to your account, with modern tooling doing the leverage work.
How it worksThree disciplines, one system: measure honestly, buy efficiently, retain automatically.
Server-side tracking, clean event schemas, and incrementality testing. One source of truth that reconciles platform claims against revenue your finance team recognizes. No double-counting, no attribution theater.
Cross-channel media buying on Meta, Google, and TikTok in the black-box era — steering automated campaign types with structure, creative testing velocity, and marginal CAC discipline instead of blind budget increases.
Email and SMS loops, behavioral triggers, and cohort-based upsells that compound retention. Acquisition gets you the customer once; the automation layer is what makes the LTV math work.
Usually not entirely. Platforms grade their own homework. I run the reconciliation: platform-reported revenue vs. actual revenue, holdout tests where spend justifies them, and a measurement model your CFO can sign off on.
Revenue is a lagging metric — by the time it moves, the decision that caused it is months old. I instrument the leading indicators for your funnel: activation rates, cohort retention curves, marginal CAC by channel, payback windows. You make decisions where they still matter.
Because in 2026 the leverage problem is solved. Modern tooling and AI handle the volume work that used to need a team of ten. What it can't replace is twelve years of judgment about what to test, what to kill, and what the numbers actually mean. You pay for the judgment, not the headcount.
The agency model bills you for meetings about meetings. The guru model sells you screenshots. This is the third option: senior execution, your data, your account, full transparency.
Frameworks grounded in your unit economics, not borrowed from a SaaS blog. Where to spend the next dollar, when to stop, and what payback window your margins can actually afford.
Event schemas, server-side tracking, and dashboards that reconcile to revenue. Built so every future decision sits on numbers you can defend.
Audits of your exact setup: optimization goals, account structure, creative pipeline, and whether your blended CAC is hiding a marginal CAC problem.
Which automation stack fits your setup, which triggers move the cohort curves, and how to stop churn from quietly eating your acquisition wins.
Strategy decks are easy. I do the strategy and the execution: the tracking setup, the media buying, the automation flows. Because it's one operator with deep attention per client, seats are genuinely limited — not as a marketing ploy, but as arithmetic.
Request a SeatTwo tracks: the Operator Curriculum for teams already spending real money, and Distribution 101 for early founders who shipped something nobody has found yet. Free field notes are live; the full curriculum rolls out through 2026.
Pick Your Track