Cutting costs while scaling performance sounds like the ultimate balancing act… but what if you could do both at the same time?
In this Mondiad case study, we break down exactly how we managed to reduce Cost Per Lead (CPL) by 50% without sacrificing traffic quality or campaign volume. The important part isn’t the result. It’s how it was achieved, and which levers actually moved performance.
If you’re looking to stretch your budget further and drive more efficient results, this is a story worth reading.
Mondiad Campaign Setup
The offer was sourced from a private affiliate program we had previously tested, which provided baseline performance data to inform initial targeting decisions.
| Campaign observed during | April 2026 |
| Traffic Format | Classic Push |
| Offer Vertical | Sweepstakes |
| Targeting | KZ, Desktop, Windows |
| Bidding | CPC |
| Budget | $50 daily budget |
| Creatives & Landing page | Simple “A prize is available for you!” or “Get a free iPhone” type of creatives. |
| Desired CPA | $2 |
| Conversion goal | Leads |

Note: Creatives shown in this article are illustrative. The original campaign used localised variations aligned with the same messaging style.
Campaign Optimisation Strategy
Once we had some data coming in, we started cleaning things up.
First, a whitelist of high-performing zones was introduced. By identifying and prioritising placements that consistently delivered conversions, the campaign budget was reallocated toward the most profitable traffic sources, eliminating waste from underperforming inventory.
To further automate performance management, we set up Mondiad optimisation rules. If something started underperforming, it would get paused or adjusted automatically without us babysitting it 24/7.

Low-performing creatives were disabled, allowing top-performing variations to receive more impressions and drive higher engagement and conversion rates.
Same idea with targeting. We noticed some segments just weren’t worth it, so we cut things like 3G traffic, certain browsers, and some browser languages that weren’t converting. That helped tighten things up and focus only on better-quality users.

And finally, we got a bit more precise with microbidding on ZoneID and SubID level. So instead of one general bid, we adjusted bids based on how each source was performing, pushing harder where it worked and pulling back where it didn’t.
Nothing too fancy on its own, but together these tweaks made a big difference in performance.
Case Study Results
In the end, the numbers tell the story: smarter strategy, better execution, stronger results.

| Total spent | $1,075 |
| Total leads | 732 |
| Initial CPL | $2.8 |
| Final CPL | $1.4 |
After all those tweaks, things got a lot more efficient. The biggest win was the cost per lead dropping from $2.8 to $1.4. We basically cut it in half while keeping the volume steady.
1. The CPL reduction was real (and sustainable).
Dropping from $2.8 to $1.4 CPL wasn’t a short-term fluctuation. The blended CPL (~$1.47) confirms that optimisation gains held across the campaign lifecycle were not just in isolated segments.


2. Volume was maintained while efficiency improved.
732 total leads on a relatively modest budget indicates that cost efficiency didn’t come at the expense of scale.
3. Ad spend efficiency improved significantly.
At the initial CPL ($2.8), the same $1,075 budget would have generated ~384 leads.
Instead, it delivered 732 leads. (~90% more volume for the same spend.)
These results are just the beginning. With a solid foundation in place, the next step is scaling what works and unlocking even greater performance.
Why This Worked (Key Takeaways)
If there’s one thing to take away, it’s this: don’t rely on broad settings for too long. The real gains come when you go deeper(zone-level, Sub ID-level, creative-level) and start treating each part of your traffic differently based on how it performs.
Most CPL reductions don’t come from a single change. They come from:
- Removing inefficiencies (bad zones, weak creatives)
- Reallocating spend (toward proven segments)
- Increasing precision (microbidding)
Broad targeting gets data. Granular optimisation drives profit.
Want Help Reducing Your CPL?
If you need a helping hand with your Mondiad campaigns, remember our dedicated account managers are one click away and ready to assist you! Our account managers can review your setup and point out optimization opportunities based on real campaign data.

![Mondiad Case Study: How We Reduced Cost Per Lead by 50%! Mondiad case study [CPL, KZ, sweeps x push]](https://mondiad.com/blog/wp-content/uploads/2026/05/Mondiad-case-study-CPL-KZ-sweeps-x-push-1024x683.jpg)