Goals

Create an advanced set of complex connections between products and users, and compares and ranks these connections in order to recommend products or services as customers browse your website.

Approach

Building a recommendation system by using BigQuery ML to generate product or service recommendations from customer data in BigQuery. Then, making that data available to other production systems by exporting it to GA4 or Cloud Storage.

Results/Answers

• Leads generated from product influenced campaigns vs non-influenced campaigns
• Adoption of product areas marketed in product influenced campaigns (after campaigns are run, vs before)
• Cross - Sell / Up sell as a result of increased adoption.