CTR multi-day campaign optimizer

What is it?

Choosing which users to focus marketing efforts on can be a very complicated process if done manually. Marketers need to segment their users and do A/B testing, analyzing the performance of each segment which can then be used to manually configure a custom experience for each of those segments. This rules-based customization process can be inaccurate and time-consuming. Using machine learning, it is possible to provide marketers with exactly which target users need to direct campaign efforts.

The multi-day campaign optimizer uses this technology to prioritize the subset of potential customers who are more likely to engage with a specific offering. On the first day of the campaign, target users are chosen at random. After that, the remaining days use the data collected in the previous days to the algorithm understand what type of user is responding positively or negatively to the campaign. The collected data are features about the:

• device model
• click history
• installed apps of the users.

How to use it

When creating a monetization campaign, if you choose for a Performance Metrics based on clicks, the optimizer algorithm will be automatically used.