Solution
First, we thought out a strategy for launching campaigns to get the best results.
We decided to
create 2 separate campaigns for iOS and Android separately, as we all understand that the bid for these OS is different, this way we got a higher chance for better optimization.
The manager from RichAds advised us to
use average CPC for the first test, this way we got enough volumes and could start optimization.
Targeting
We chose Mobile devices because the volumes are greater. At the same time, we set Frequency Cap by impressions and clicks – 1 per user a day. This way within 24 hours we got a unique audience and minimized the risks of rapid burnout of the campaign.
Advanced targeting
Considering our strategy of dividing campaigns by OS, I added all the versions of the devices to the campaigns. By choosing all the versions that are available on RichAds we could evaluate the performance and volumes.
Considering the volumes received, we found out that it is best to target:
iOS 14+ version and Android 9+ version. Together with the OS, I also decided to add
Browser language, both German and English.
Creatives
At the start of our campaigns, we decided to add 9 creatives using different texts and concepts to test many approaches. We applied various icons to get more attention and implemented a call to action.
As we launched an Dating offer, creatives with nudity were selected, we also wanted to make them as realistic as possible.
Finally, after the tests, we’ve selected three approaches that converted best of all, and decided to go only with them.
Campaign Optimization
After launching the campaigns and receiving the first results, we started optimizing them.
Android campaign
Everything was quite clear with optimizing in terms of creatives, we just turned off several ones with low results.
After that we turned to the RichAds manager for help in optimizing by sources, since the manager knows best how much the sources can grow and bring profit, as well as whether it's worth wasting time and taking risks on controversial traffic sources.
For the sources that brought us conversions we used the Micro Bidding feature to lower the spend.
Also, based on the data obtained, we turned of the publisher that didn’t bring any positive results, or were too expensive for us.
iOS campaign
For this campaign, the volumes were a lot lower, point-by-point optimization was carried out for creatives, and expected significant results for further optimization.
Following the results of 7 days of driving traffic on these devices, we received a negative ROI and decided to stop the campaign.