Stable Purchase Generation for a CS2 Skins Marketplace
How we generated 762 purchases for the CS2 skins marketplace Bitskins with a $1,103 budget and a $1.45 cost per purchase through Meta Ads — testing countries and optimizing for gaming audiences. Niche: gaming item marketplace (CS2 / CSGO skins marketplace).
Services
Challenge
Bitskins is a marketplace for buying and selling Counter-Strike skins. The core business model is transaction commissions. The audience includes CS2 players, traders, and esports enthusiasts. Challenges: a competitive niche, Meta restrictions around digital goods, and the need to find an audience that actually buys.
Goal
Attract new buyers to the marketplace, generate purchases through the website, test different countries, and find scalable audiences with a predictable cost per purchase.
Results
$1,45
Cost per purchase
$1 103
Ad budget
65 841
Reach
Key project challenges
- a competitive gaming marketplace niche
- Meta restrictions on advertising digital goods
- different performance across countries
- not all gamers buy skins — we needed a precise segment
The key was to find the right audience first and then scale with a predictable cost.
Campaign structure
- gaming and Counter-Strike interests
- lookalikes based on buyers
- remarketing
Country testing
- Poland
- Germany
- France
- Canada
- Sweden
Best-performing countries: Poland, Germany, and Canada.
Optimization
Optimization was focused on Website Purchase — the algorithm looked for users most likely to buy skins. After testing, budgets were reallocated to the most efficient segments.
Result
- 762 purchases
- $1.45 average cost per purchase
- $1,103 ad budget
- 65,841 reach
- frequency 3.06
What Worked
Testing different countries — we identified where the purchase cost was lowest (Poland, Germany, Canada).
The right gamer interests — not general gaming, but Counter-Strike-specific audiences.
Optimization for Website Purchase rather than clicks.
Lookalike audiences based on buyers — strong performance during scaling.
Ongoing optimization and budget reallocation toward the most efficient segments.
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