I set up launch user acquisition for game studios. Measurement that works on day one, campaigns live with kill criteria written before the first dollar goes out, and the weekly operating loop installed so your team runs it after I leave.
17 years running ad systems from the inside, roughly a decade of it buying media inside game studios. I run my own operation on AI every day. See the full track record.
I was doing monetization and UA work the manual way: pulling numbers into spreadsheets every morning, writing the summaries, briefing the creatives. My version of "using AI" was dumping spreadsheets into ChatGPT.
Then I rebuilt how I work. Today AI writes my reports, produces my creative, researches my prospects, and ships the systems I run. I'm not an engineer; the proof is that I didn't need to be.
I know which parts of your team's week AI can take over, because it took over mine.
Slack-native analyst over ad accounts: daily performance briefings, weekly summaries, competitor alerts, with no human pulling data. In build, aimed at the 1-2 hours a UA manager spends in Ads Manager every morning.
Daily branded content written, rendered, and published at $0 marginal cost. Customer DMs answered in brand voice against a 26,000-product catalog. Built in 8 days, roughly 20 hours of my time.
Production auction, SDKs on npm, on-chain payments. 244 commits, shipped solo, with verification passes that catch real defects before they ship.
Fractional, a small number of studios at a time. Scope and timing get settled on a call.
For a studio going to market with nobody in-house who has taken a title there before. Also for the studio that already launched and still can't tell what worked.
For a marketing team that already exists and is doing too much of the work by hand.
We rank your recurring work by hours per week, then install the top 2 or 3 on your own tools and accounts. Reporting that assembles itself and remembers what you decided last week. A creative pipeline that takes one concept to 20-plus on-brand variations. Market research, campaign QA.
Everything gets built at the lowest tier that does the job: usually a written procedure your marketers can open, read and argue with, sometimes wired to your data, occasionally scheduled. The test on every one of them is whether it survives me leaving.
See the creative pipeline →For when you want to know what you're missing before committing to anything bigger.
I look at what exists, talk to 2 or 3 of your people, and write up what's true today, what's missing, and what to fix in what order. You own the document either way. If the answer is that you don't need me, that's what it will say.
Everything gets installed on your accounts, your tools, your seats. You own it. I configure, I train your team, and I leave. My part ends where your production begins.
AI is in here for throughput. It gets the work produced and assembled faster. The judgment about what to run, what to kill, and what the numbers mean stays human, and that judgment is what you're actually buying.
Nothing goes inside your game. The engagement covers the marketing and operations engine around it.
Where I am now: fractional UA lead at Aria Labs, standing up launch measurement and paid acquisition for songtoys. Before that, 17 years in mobile advertising and monetization: early team at Super Rewards, WSOP mobile at EA, a peak of $1M a month in managed ad spend and $100M-plus over the career.
A 30-minute call scopes it: what you're launching and when, what happens today when you need to know whether something worked, and what eats the most hours on your team. If it's not a fit, I'll tell you on the call.