We can’t stress this enough: Data is your best friend! The more data, the better.
This exact principle became the winning formula behind this Mondiad case study. By leveraging performance data combined with the support from our dedicated account managers, our advertiser was able to identify audience hotspots, refine targeting, and ultimately scale the campaign profitably.
Starting out
Our success story begins when our advertiser, a solo affiliate marketer, reached out to our team for a second opinion on an active affiliate offer he was promoting.
This campaign focused on China-targeted adult traffic, with the goal of driving user sign-ups for a Chinese dating platform. While the offer showed potential, performance wasn’t fully optimized yet… and that’s where data-driven insights made all the difference.
Assessing the campaign
At the beginning of this challenge, our ad campaign looked like this:
| Offer type | Dating/Adult |
| Ad format(s) | Banner |
| Ad flow & Creatives | 8 creatives, 300×250 + Adult LP |
| Targeting | China |
| Capping | 2 impressions per 24 hours per creative |
| Bidding model | CPM |
| Budget | Initial deposit $1000 Daily budget: $500 |
| Campaign started | 01.10.2025 |
At first glance, it was easy to spot a broad traffic targeting, mobile & desktop, Android & iOS, 3G & WiFi, all available sources in China.
This can be problematic because our goal is to scale results and optimize costs. Broad targeting is risky, as low-quality traffic consumes the budget first, and simply increasing spend doesn’t guarantee more conversions, it often just wastes money on unprofitable users.
Naturally, the second effect of broad targeting was facing high acquisition costs(~$15) compared to his target cost per conversion(~$4-5).
As concluded, the advertiser needed a strategy to improve ROI and scale their campaigns effectively.
Intervention 1: Implement Postback URL
The client agreed on implementing our postback URL, allowing our team to analyze conversion patterns and optimize bids effectively.
As you can see, initially the cost/conversion was around $15 while his target is to get less than $4-5 per conversion.
Intervention 2: Split-Testing Campaign Targeting
When all traffic is lumped together, winning patterns get diluted, so we decided to run granular tests on our targeting.
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Testing our offer more granularly allowed us to discover some winning patterns to help us optimise results further.
After the first week of gathering conversion data, we noticed that winrates and conversion rates were very different between 3G and Wifi traffic (screenshot), so we decided to have separate campaigns for these targeting segments.
Intervention 3: Killing underperforming segments
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After creating separate campaigns for 3G and Wifi targeting and a few more days of gathering data, we started consistently looking out for zoneids and subids that show low conversion rates, to blacklist.
Similarly, we continued monitoring SubIDs and ZoneIDs to efficiently customize bids based on their performance.
First results
The combination of granular targeting, bid optimization, and careful blacklisting led to dramatic improvements in just a few days.
Before optimization: $300 spent → 20 conversions
After optimization: $300 spent → 100 conversions
Cost per conversion before optimisation: ~$15
Cost per conversion after optimisation: ~$4–5
The campaign continues to scale with ongoing optimization and monitoring.
Key Takeaways
- Data-driven decisions matter: Implementing postback URLs allows your account manager to see results and give accurate recommendations based on the extra data.
- Segment traffic wisely: Splitting campaigns based on connection type, devices, browsers, os versions, and other granular parameters, can uncover high-performing niches.
- Continuous optimization is crucial: Regularly reviewing zoneIDs and subIDs for performance allows smarter bidding and scaling.
- Scalable strategy: Consistently increasing bids on high-performing sources while monitoring cost/conversion ensures sustainable growth.
Need a second opinion on your campaign?
This case study proves one thing clearly: profitable scaling doesn’t happen by chance. It’s the result of data-driven decisions, continuous optimization, and the right expertise backing every move.
Speaking of expertise, we are here to help you.
At ad network Mondiad, you’re not just launching ad campaigns, you’re gaining a team of experienced account managers who are ready to share their knowledge, help you uncover hidden opportunities, and guide you toward sustainable growth. Whether you’re testing a new offer, struggling with a new GEO, or looking to scale profitably, we’re here to help you make the most out of your goals.
Don’t hesitate to reach out.