As described above, both Apple and Facebook’s logs will only show conversions at the campaign level . Since campaigns in practice have multiple levels, i.e. campaign - ad group - ad set - ad, Facebook will again use statistical modeling to extrapolate data to the ad set level. However, this will limit the clarity and clarity of the data, which will be miles away from the detailed reports we are used to.
User attribute breakdown will be removed from reports
Once the statistics are separated from the namibia phone number data users, there will be no segmentation available in your campaign reports . So while you will be able to target a specific demographic (because that data is known to the advertising platform), you will likely only have information about which ad people clicked on the most, but you will not be able to match it to the actual demographic . For example, you can target men aged 20-30 living in a city with a population of over 100,000, but you will not be able to segment your conversion reports to see if you got more conversions in Prague than in Brno.
What can you do about it?
All of the above information sounds pretty dire. The best thing to do in this situation is to follow Facebook's best practices . While it may sound trivial, it will give you an immediate advantage.
Implement the Facebook Conversion API (cross-server tracking). There are plenty of good plugins for code-free implementation, and even developing this functionality yourself isn't too much of a hassle for a decent developer.
Campaign reports will only be modeled at the ad set/ad group level
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