Adcash Auto Rules in Action: €13.98 CPA on a €20 Target

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The team at Adcash breaks down a five-month dating campaign case study that shows exactly what happens when you let Auto Rules handle your CPM optimization at scale.


What Are Auto Rules?

Auto Rules are automated optimization conditions inside Adcash that adjust your campaign based on real-time performance.

In a previous Mobidea Academy article, we explained how they work and why they’re built for CPM campaigns.

The idea was simple: define your targets, set clear rules, and let the system react instantly instead of relying on manual updates.

This case study takes that exact logic and puts numbers behind it.

What Makes Auto Rules So Effective?

Auto Rules work alongside CPM campaigns, using CPA targets to guide optimization.

The main advantage is speed.

Manual optimization always lags.

You check performance, make a decision, apply changes, then wait again.

Meanwhile, traffic keeps flowing, and budget keeps spending.

Manual optimization doesn’t fail all at once.

It leaks budget slowly, until you’ve got a mountain of wasted spend.

Auto Rules remove that delay completely.

The system monitors performance continuously and applies changes the moment conditions are met.

That means underperforming ad placements are handled before they waste budget.

Strongly performing ads are scaled while they’re still winning clicks.

The result is more consistent performance, tighter control over CPA, and fewer missed opportunities.

From Theory to Execution

In the previous Mobidea article, we explained how Auto Rules can control CPM campaigns at scale.

It simply enforces CPA targets and optimizes at the ad placement level.

This campaign follows that exact framework.

The beauty of Auto Rules is that there doesn’t need to be a complicated story behind the campaign.

There’s no “secret trick” here. No clever hack.

Just a system doing exactly what it’s supposed to do, consistently.

For this campaign, the goal was simple: maintain a €20 CPA while scaling volume.

The difference comes from how consistently that logic is applied.

Campaign Breakdown

DETAIL INFO
Offer Type Dating
Traffic Source Adcash
Region France
Ad Formats Pop-Under and Interstitial
Campaign Period October 2025 – March 2026

This campaign ran in the dating vertical, targeting France, using pop-under and interstitial formats on a CPM model.

The numbers:

The first, and most obvious thing to notice is a simple before and after.

We’re talking a massive jump in scale.

  • Before Auto Rules – October 2025: an honest 1,405,507 impressions with a spend of €1,189.
  • After Auto Rules – November 2025: a hugely improved impression count of 10,270,265 and a spend of €8,644

Things only improved from there, with further improvements every month.

Total spend reached €68,222.35 over five months, generating 4,879 conversions.

That puts the final CPA at €13.98. Against a €20 target, that’s roughly 30% lower than expected.

More importantly, this wasn’t a short-term spike.

Performance held steady while volume increased, which is where most campaigns usually break.

Even more importantly, the more they learnt, the more efficient Auto Rules became.

It’s a long-term game after all.

The longer the campaign runs, the more you and the Auto Rules learn, and the more you can optimize.

Tactics and Strategy

The setup followed a strict CPA-driven structure, with rules built around performance thresholds.

When ad placements moved above the €20 CPA target, bids were reduced or traffic was limited.

High-performing placements meanwhile received increased bids to capture more volume.

Everything operated at the placement level, which made it possible to isolate profitable traffic and cut inefficiencies quickly.

This wasn’t a short spike or a lucky window. Performance held while volume increased.

One of the more effective tactics was how non-converting traffic was handled.

Instead of immediately blocking or removing placements, a rule gradually reduced bids down to €0.01 CPM when no conversions were recorded.

At that level, the campaign effectively stopped winning auctions.

Essentially, those ad placements naturally dropped out without needing manual exclusion.

This approach kept optimization flexible.

Traffic wasn’t cut too early, but it also didn’t get the chance to waste budget.

Scaling was handled gradually.

Only proven, well-performing ads received increased bids, which kept CPA stable while allowing volume to grow.

Another key point, every single time Auto Rules is used, is execution speed.

Auto Rules run continuously, so adjustments happen in real time.

There was no delay between identifying performance shifts and acting on them.

Takeaways

The results match what was outlined in the previous Auto Rules guide.

When optimization happens instantly and consistently, wasted spend drops and performance stabilizes.

CPA targets become enforceable rather than just theoretical.

Managing large numbers of ad placements becomes realistic, and scaling no longer relies on guesswork.

In a highly competitive vertical like dating, this X-factor makes a huge difference.

You’re no longer chasing that wave, but riding it in comfort.

This campaign didn’t introduce a new strategy or reveal a new-found magic trick.

It just proved that applying a clear system without any time lag leads to stronger, more stable results.

Conclusion

The goal of the original Auto Rules article was to show how automation improves CPM campaign performance.

This case study puts that into practice with measurable results.

With €68,222.35 in spend and 4,879 conversions, the campaign maintained a €13.98 CPA against a €20 target while scaling volume over time.

That kind of performance doesn’t come from constant manual adjustments.

It comes from applying a clear system, consistently and without delay.

Auto Rules simply takes great strategy and optimizes it to a truly efficient level.

They made sure a winning advertising strategy was applied exactly when it was needed.

This is the true difference between average performance and controlled scaling.

Are your campaigns running with automated optimizations?

We’d love to see your findings!

Get in touch with Adcash if you have any questions about what Auto Rules could do for your campaign!

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