To achieve effective ad modeling and metric tracking, Advertising Log Integration is essential. This integration can be performed through two methods: web-based and API-based. Each method allows the collection and analysis of logs for ad requests, impressions, clicks, and conversions. Below, we explain each approach.
The ad log integration method using API is a way to directly integrate logs for various actions such as ad impressions, conversions, and clicks.
In A2, logs are tracked based on the ext.ad_log field in the ad serving response data, and impression logs can also be integrated as needed for ad effectiveness analysis.
Impression logs are not mandatory in A2, but are recommended for accurate metric measurement.
Impression logs are sent when an ad is actually displayed to a user.
It is recommended to measure whether an ad is displayed based on whether more than 50% of the ad is visible on the user’s screen for at least one second.
If the above criteria cannot be met due to system constraints or other reasons, it is recommended to measure impressions using at least the same criteria.
Hope this guide helps with advertising log integration. If you have any further questions or need additional support, please feel free to contact us. Thank you.