Start by connecting your Google Analytics account and grant access to the required permissions. Once the account, property and view have been selected, MorphL will automatically configure the necessary custom dimensions (client ID and session ID) and will begin ingesting the data. See documentation.
Depending on the model that has been selected, the generated predictions will be displayed for each individual client ID. Different thresholds can be defined to segment users into low, medium or high quartiles.
Every prediction can be pushed back into Google Analytics and saved in a custom dimension. Custom audiences are defined using predictions thresholds and can be further used in 3rd party platforms such as Google Ads to run predictive marketing campaigns at scale. See documentation.
Customers that are at the risk of not returning for a new order in a given time interval.
Conversion rate Average order value Cart abandonment
Users that are more likely to abandon their cart in the current or next session.
Conversion rate Average order value CLTV
Automatically identifies the common characteristics of customers that completed transactions.