Integrate user insights

After integrating the AdSDK through any of the available methods and integrating the event tags, partners can integrate the user insights. Be aware the user insights require the game or app live in store and to be receiving the event tags for a period of time. The period of time varies based on volume and depth of data.

Possible user insights values:

Recommended AdUnit Id:

• The possible request variables are: recommended_interstitial_ad_unit_id, recommended_rewarded_ad_unit_id andrecommended_banner_ad_unit_id

Predicted user bid floors: The predicted bid floor prices for a user for a ad format.

• The possible request variables are: calculated_user_floor_price_banner, calculated_user_floor_price_interstitial, calculated_user_floor_price_rewarded.

Predicted user churn / retention: The probability of this specific user to churn at a specific day.

• The possible request variables are: p_churn_1d, p_churn_3d, p_churn_7d, p_churn_14d, p_churn_30d. The response is in the format: 0.854.
• For the churn prediction, you can request:p_churn_confidence which is the ML confidence in the prediction and returns a value any of the following: low, medium or high.

Predicted user ad impression value: The predicted market price eCPM value the partner would receive to show a banner, interstitial or rewarded ad to this user.

• The possible request variables are: pred_ecpm_banner, pred_ecpm_interstitial, pred_ecpm_rewarded. The response is in the format: 12.73.

Predicted user value: The predicted dollar value of a user in: predicted IAP value, predicted Ad value and predicted total value (pLTV).

• The possible request variables are: pred_iaa_value, pred_iap_value, pred_total_value. The response is in the format: 1.58.

Testing user insights

In order to test user insights, add your SDK user id to the Nefta platform. While testing, the result of each user insight is static and contains the status field with value of test.