BigQuery authorizes access to resources based on a verified identity. A service account is used to ensure that MorphL has access only to the BigQuery tables. See documentation.
Depending on the model that has been selected, the generated predictions will be displayed for each individual client ID.
Historical data from the past 12-18 months can also be used to forecast KPIs such as: revenues, orders, sessions, conversion rate, hit products.
Every prediction is associated with a user in BigQuery and can be pushed into 3rd party platforms to optimize customer experiences or run predictive marketing campaigns at scale. Different thresholds can be defined to segment users into low, medium or high quartiles.
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.
The buying power of a customer or the most likely future total transactions value.