Banks use next-best-action strategies to personalize customer offers by analyzing customer behavior and financial data to predict the most relevant financial products or actions to offer.

For example, based on a customer's spending habits, a bank might offer a credit card with higher cashback or a loan product. Snowplow's event tracking can capture this behavioral data, which feeds into machine learning models that recommend the best financial product or offer for each customer.