Case Study: 65.47% ROI with Galaksion Popunder + Cryptomania Offer

btaliat

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Hey everyone,


I wanted to share a performance-driven case study that debunks a common myth: that popunder traffic is no longer effective. Using a well-targeted campaign through the Galaksion network and promoting the Cryptomania offer from Zeydoo, we managed to achieve 65.47% ROI, turning a modest test budget into solid profit.


Let’s break it all down

The Offer​


We worked with the Cryptomania Android Simulator — a free app that simulates crypto trading. The payout was triggered when a user installed and opened the app (CPI model). It’s a very simple flow for users and offers a clean conversion path.


We compared this offer with another version that pays for either installs or push subscriptions. While the push-based version offers smaller payouts, the conversion rate is typically higher due to the low-friction action required. We stuck with the CPI version for this test due to its higher payout potential and postback compatibility.


Campaign Overview​


  • Period: 1 month
  • Ad Format: Popunder (CPM model)
  • Platform: Android (OS 5+)
  • Spend: $1,787
  • Revenue: $2,957
  • Profit: $1,170
  • ROI: 65.47%

Traffic Source: Galaksion​


Galaksion was chosen for this test due to its direct publisher inventory and a suite of tools that help optimize campaigns — including targeting flexibility, a creatives library, and detailed traffic estimators.


Popunder traffic here worked great, particularly with Android users on Chrome. The traffic was clean, the engagement was strong, and the ability to fine-tune placements gave us strong control over ROI.


Landing Flow​


The user flow was as simple as it gets:


  1. Land on a page with a "Yes" button.
  2. Click redirects them to a warm-up landing (e.g., roulette game or bonus spinner).
  3. After interacting, the user is sent to Google Play to download Cryptomania.

These intermediate "gamified" landers boosted user engagement significantly. By the time users hit the app page, they were pre-qualified and motivated to complete the action — especially when offered a bonus they could use inside the app.


Targeting & GEO Insights​


Initial tests were run across multiple GEOs, then narrowed down to the top performers: Brazil (BR) and Argentina (AR). Both showed the best balance between cost and conversion.


During the optimization phase:


  • Campaigns were split by GEO.
  • Bids were reduced by 30–50% below Galaksion’s recommended rates (initial higher bids underperformed).
  • Daily spend limits were capped at $20–30 during testing.
  • Android versions 8–13 performed best, especially on Chrome.

We also built black/white lists based on performance, which helped further refine traffic quality.

Results & Takeaways​


This case proves that with the right combination of:


  • Engaging offer
  • Gamified landers
  • Tier 3 GEO focus
  • Popunder traffic

...you can absolutely achieve solid ROI in today’s affiliate landscape.


The key to success here was:


  • Starting lean with controlled spend
  • Testing multiple creatives and landers
  • Letting the data guide GEO and bid decisions

Popunder isn’t dead — it’s just underutilized. With the right offer and funnel, it still works like a charm.


If you’re working in the finance or crypto niche, this is a great format to model. Feel free to drop questions or share your results if you've tried something similar.


Let’s keep optimizing!

Let me know if
 
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