We run paid marketing for
performance-driven brands.
Proven in betting and lotteries.

Ten years. Over $150 million in managed ad spend. Start with one market for ninety days, against a target we agree first.

Talk to us about one market A 30-minute call. No deck.
10years
$150M+managed ad spend
Performance screen for a sample operator: CPA and FTDs, a 28-day CPA line against the previous 28 days, and CPA by market.

Most marketing teams cannot see what their ad spend brings back

If you answer "no" to any of these, we should talk.

  1. Do you know exactly which campaigns bring your new customers and your ROI, across all your paid advertising?
  2. When a number drops, do you know why the same day?
  3. Does your team spend more time optimizing campaign results than building reports?

What we do for you

  1. We plan and run your paid campaigns.

  2. We fix tracking so the platforms' numbers match your own.

  3. We test creative and tell you what works in each market.

  4. We send one weekly report, and we act on it.

The system behind the work

We run every account on our own system, and you see the same screens we work from. It is part of the service, not something we sell.

Creatives screen for a sample operator: ads ranked by CPA against the market average, each marked scale, hold or pause.
What changed screen for a sample operator: daily CPA with each campaign change marked on the line, and CPA three days before and after each change.

Intelligence we collect every day

Fixtures, draws, jackpots and competitor ads in your market, collected by our own systems.

Demand calendar: the number of fixtures per day for three weeks, the biggest days, and upcoming lottery draws with jackpot amounts.
Competitor search: one rival brand typed in, its offer count on Meta, Google and Apple Ads, and its current ads with each offer read out in plain words.
Jackpots screen: every Powerball and Mega Millions jackpot from April 2025 to October 2026 against a 500 million dollar trigger line, with today's two jackpots.

Automation and AI, with a person in charge

Machines do the checking. People make the decisions.

Recommended changes screen for a sample operator: proposed changes to bids, budgets and status with the reason and expected effect, each with approve and reject.
55automated jobs
42schedules
18data feeds checked every hour
21ad platforms and data sources connected

Start with one market.

Ninety days, against a target we agree first.