Abstract: Anonymized data including multiple ad events is received at an attribution processor, along with a user ID and an ad ID. Each user ID has been anonymized with a one-way encryption key, and each ad ID has been anonymized with a two-way encryption key. A user ID and a customer value is received for a plurality of customers, the customer data being anonymized using the one-way encryption key for each user ID, and the two-way encryption key for each ad ID. Matching ad events are identified per conversion by comparing the user IDs in the encrypted ad data set to the user IDs in the encrypted customer data set. A customer value is then assigned to each ad event, and the customer values are summed for each ad ID across contributing events to create a converting ads data set. A recommendation is determined based on the summed values.

Abstract: A method comprises receiving an ad event data including data about a plurality of ad events, and including a user ID and an ad ID for each ad event in the ad event data set, where the ad event data set has been anonymized applying a one-way encryption key for each user ID in the ad event data set, and a two-way encryption key for the ad ID in the ad event data set. The attribution processor receives a customer data set including data about a plurality of customers, including a user ID and a customer value for each customer, where the customer data set has been anonymized using the one-way encryption key for each user ID in the data, and a private encryption key for the customer value.