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.
Use Google Tag Manager script tags and triggers to send predictions to Google Analytics or Google Analytics 360 custom dimensions. Create calls to action or custom audiences to engage undecided customers or target heavy spenders. 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.
The buying power of a customer or the most likely future total transactions value.