There are 4 different reporting systems available in Gamesight that you can choose between depending on your company's needs:
The most common type of reports which are pulled through the Gamesight Console UI (Reports Dashboard). These reports give you rich visualizations on top of powerful data filtering and grouping. Reports pulled through the Reporting UI can be exported to CSV for further analysis.
- Campaigns - The Campaigns report will display all campaigns and their performance during the timeframe you select and the applied reporting filters.
- Revenue - The Revenue report will display all campaigns and their associated costs, ROAS, DLC purchases, etc. during the timeframe you select and the applied reporting filters.
- Daily - The Daily report will display overall campaign performance broken down daily for the time duration you select and the applied reporting filters.
- Lifetime Value - The Lifetime Value (LTV) report "cohorts" users based on how they were originally acquired/attributed. LTV report will show every purchase (gross revenue) players attributed to a specific campaign made in total (in-game purchases, DLC, etc.).
- LTV vs Revenue - The key difference between these reports is player behavior. The Revenue report, for example, will show that "Facebook Campaign A drove 10 purchases today". Meanwhile, the LTV report will show that "Facebook Campaign A drove 10 new players and those players made a total of 15 purchases". Players attributed to "Facebook Campaign A" will forever show up under the "Facebook Campaign A" reporting row.
A push "webhook" system where we send all attributed Goals to a webhook endpoint you provide in real time. The available parameters can be found in the Postback Macros doc.
A reporting API that enables you to pull reports directly from in the same format that you get through the Reporting UI. The Reporting API Overview provides more details on how to get started.
A raw data export to S3 that sends row-level reporting data including impressions, clicks, cost, etc. You can find a complete data dictionary and steps for getting started in the Raw S3 Data Export Reports guide.
Updated 7 months ago