Poker Campaign Crushes CPA Target By Going All-In On Auto Rules

This case study breaks down a US-targeted online poker campaign that pushed nearly 20M impressions across three months on pop-under traffic. The campaign drove 496 sign-ups and 164 FTDs while pulling CPA from $289 down to $197 against a $250 target. You’ll see the Auto Rules setup, the placement-level bid logic, and how that consistency built the case for expanding into Canada and the UK.

Online poker is a crowded table. Dozens of brands, all chasing the same players, all promising the same thrill of sitting down at a real game. Our client had the product to back it up. What they needed was a way to spend smart in a market where every dollar gets matched against someone else’s bid.

That’s why our client needed an ace up their sleeve. A way to allow them to put their chips down when they were ahead, and to fold when the math wasn’t mathing. Auto Rules gave the campaign that read on the room. Real-time data, automated bid adjustments, and a system that didn’t blink when traffic patterns shifted overnight.

Quick context for anyone new to the platform: Auto Rules is the part of Adcash that watches your campaign around the clock. It shifts spend toward what’s working, automatically.

What Can You Do with Auto Rules in Adcash?

Auto Rules are automated, rule-based optimization tools inside Adcash that adjust bids and traffic allocation. If you want to learn about the product in more detail, check out the product overview in our Auto Rules launch blog.

The short version; for campaigns running at scale, Auto Rules removes the need for constant manual intervention. Performance stabilizes because the adjustments never stop.

What Makes Adcash’s Auto Rules So Effective?

Auto Rules solve the two biggest problems in campaign optimization: time and inconsistency.

Manual optimization is slow by default. You check performance, make adjustments, wait, and check again. Meanwhile, traffic keeps moving and budget keeps spending. Small delays compound into real inefficiency.

Auto Rules close that gap. Budget shifts toward high-performing placements automatically. Weaker traffic gets throttled before it burns spend. The system holds CPA targets without anyone having to babysit it.

Control doesn’t go anywhere. The strategy still comes from the advertiser. Auto Rules just make sure it gets applied the same way, on every placement, every time.

You get speed and consistency without giving up the wheel.

Why Auto Rules Matter for Long-Term Scaling

A campaign performing well for a few weeks is not the same thing as a campaign performing well at scale. Volume changes the math. More placements means more variables. Manual optimization that worked at $500 a day starts breaking at $5,000.

Auto Rules keep the structure intact as the campaign grows. KPIs get enforced at every level, every day, regardless of how many placements are running. Costs stay under control because the system is watching all of them at once.

Campaign Breakdown

The campaign is a US-focused online poker brand running pop-under traffic.

Auto Rules had been on the campaign well before the window we’re showing here, holding the line on two KPIs the advertiser had set from day one: $80 CPA for sign-ups and $250 CPA for first-time deposits.

Across January, February, and March, the campaign served just under 20 million impressions. That generated 496 sign-ups and 164 FTDs, a conversion ratio of roughly one in three sign-ups going on to deposit. Both KPIs ended the window comfortably under target. Sign-up CPA closed March at $65, well below the $80 ceiling. FTD CPA dropped from $289 in January to $197 in March, a 32% improvement that pulled it more than $50 under the $250 target.

By March the model was running clean enough that the advertiser opened up Canada and the UK. The US still carries around 90% of the volume, with the new GEOs scaling on the same Auto Rules setup.

Tactics and Strategy

The whole setup ran on KPI guardrails. If a placement drifted above target, bids dropped or traffic got throttled. If a placement stayed at or below target, bids went up to capture more of the volume.

Everything was handled at the placement level, which let the campaign isolate profitable traffic and scale it independently. Three publisher categories did most of the heavy lifting: Sports (video sites and channels), Arts and Entertainment (movie and TV publishers), and Adult. Auto Rules pushed budget toward those segments as the data confirmed they converted, while quietly throttling everything else.

Non-performing traffic was not cut outright. Bids were reduced gradually, letting weaker placements phase out on their own if they failed to convert. That avoided premature exclusions and kept the budget protected without the advertiser having to manually intervene every time a placement dipped.

The longer the rules ran, the more accurate they got. By March, the system was making bid decisions on a much richer dataset than it started with. This is part of why its performance pulled so far ahead of January.

Takeaways

Auto Rules pay off over time. Short-term, they save manual hours. Long-term, they hold KPI discipline as the campaign grows, which is when most setups start leaking.

Consistency is the real product. The advertiser’s strategy didn’t change month to month. What changed was that the strategy got applied the same way to every placement, every day, without anyone having to chase it.

GEO expansion came from data, not guesswork. Canada and the UK opened up because the US numbers gave the advertiser confidence the model would hold. Auto Rules made the US numbers reliable enough to act on.

Conclusion

Three months of stable performance. A 32% improvement on FTD CPA. A move into two new markets that wouldn’t have happened without the US numbers proving the model first. That’s what continuous optimization looks like when it’s running on the right system.

Auto Rules took the manual timing out of the equation and gave the campaign room to scale without watching the costs run away. If you want the same on your campaigns, start one with Adcash or reach out to support to talk through the setup.