Start by connecting your data source (Google Analytics, Google Analytics 360, BigQuery or others) and grant access to the required permissions. MorphL will automatically configure the necessary custom dimensions where needed (client ID and session ID) and will begin ingesting the data.
Depending on the model that has been selected, the generated predictions will be displayed for each individual user. Different thresholds can be defined to segment users into low, medium or high quartiles.
Send predictions in Facebook Pixel by setting custom user properties. Create custom audiences based on various probability thresholds and automatically optimize PPC 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 add a product to cart, go to checkout or complete a transaction.
Conversion rate Average order value CLTV
Automatically identifies the common characteristics of customers that completed transactions.