Question: How can I use customer behavior data to create more relevant marketing interactions?

Blueshift is an AI-powered marketing platform that marries customer data with AI-driven decision-making to deliver marketing across many channels. It includes a Customer Data Platform (CDP) for building rich customer profiles, AI-Powered Decisioning for automation, and Cross-Channel Delivery for managing customer journeys. The platform can help you analyze customer behavior and intent, so you can segment audiences and make more informed marketing decisions.

Twilio Segment is another powerful customer data platform that ingests, cleans and activates customer data for real-time insights. It comes with features like generative AI for targeted audiences, predictive AI for customer behavior, and data governance and security. Twilio Segment connects data with 450+ pre-built connectors and supports a broad range of integrations, making it a good fit for marketers and data engineers.

Treasure Data is a CDP for big businesses that builds a unified customer profile out of historical and real-time behavior. It has good data governance and a plan for driving business growth. The company says customers have achieved results like 38% net income growth and a 350% renewal rate increase, so it's a good option for breaking down data silos and getting more out of sales.

If you want a more customized approach, Braze offers a customer engagement platform that uses AI to manage personalized interactions across many channels. It includes data activation, journey orchestration and cross-channel messaging, and is good for industries like retail and finance. Braze also focuses on scalability and security, with features to help you comply with privacy regulations.