LTV prediction shows the potential revenue from users who installed an app or visited a project website in the selected report period.
Machine learning models predict LTV based on attributed data, SKAN postbacks, and aggregated data from ad networks.
LTV prediction shows the potential revenue from users who installed the app or visited a project website in the selected report period. For example, LTV Prediction 1m is revenue that will be earned in one month.
LTV Prediction includes revenue for purchases, subscriptions, ad impressions, and custom payments. To see the forecast separately for each revenue type, select the corresponding metric, for example, Subscription LTV Prediction or Advertisement LTV Prediction.
Use LTV prediction to evaluate ad campaigns with deterministic attribution when you know which user brought in by the ad. The forecast does not use SKAN postbacks or other aggregated data from partners.
LTV prediction shows the potential revenue for in-app payments from users who installed the app in the selected report period.
For example, IAP LTV Prediction 1m is revenue that will be earned in one month after users installed the app.
LTV prediction shows the potential revenue for ad impressions from users who installed the app in the selected report period.
For example, Ads LTV Prediction 1m is revenue that will be earned in one month after users installed the app.
LTV prediction shows the potential revenue for subscriptions from users who installed the app in the selected report period.
For example, Subscription LTV Prediction 1m is revenue that will be earned in one month after users installed the app.
LTV prediction shows the potential revenue for custom payments from users who installed an app or visited a project website in the selected report period.
For example, Custom revenue LTV Prediction 1m is custom revenue that will be earned in one month.
Use Custom revenue LTV Prediction to forecast revenue (offline purchases or WeChat payments) passed via S2S API. Learn more
LTV prediction shows the potential revenue for custom payments from users who installed the app or visited a project website in the selected report period.
For example, Custom revenue LTV Prediction 1m is custom revenue that will be earned in one month.
Use Custom revenue LTV Prediction to forecast revenue (offline purchases or WeChat payments) passed via S2S API. Learn more
LTV prediction shows the potential revenue for purchases, subscriptions, and ad impressions according to SKAdNetwork. For example, SKAN LTV Prediction 1m is revenue that will be earned in one month after iOS 14.5+ users installed the app.
Use SKAN LTV Prediction to evaluate the effectiveness of your ad campaigns on iOS 14.5+. Learn more
