Question: How can I create dynamic audience segments based on user attributes and behavior for my mobile app?

If you want to build audience segments based on attributes and behavior in your mobile app, MOCA is a good option. This location platform uses AI-powered marketing and location intelligence to segment audiences based on behavior, location and attributes. It also tracks performance in real-time, offers customer journey maps and launches targeted marketing campaigns. MOCA is geared for retail and proximity marketing, so it's a good choice if you want to boost app engagement.

Another option is Twilio Segment, a customer data platform (CDP) that ingests and enriches customer data in real-time. It connects to more than 450 data sources and offers predictive AI for customer behavior and generative AI for targeted audiences. It's good for cross-sell and upsell and for optimizing ad spend with first-party data.

Blueshift is an AI-powered marketing platform that marries customer data with AI-driven decision-making to personalize interactions across multiple channels. It includes a Customer Data Platform for building rich customer profiles and offers predictions and recommendations based on customer intent. Blueshift's real-time AI analysis of customer behavior makes it easy to segment audiences and make marketing decisions.

If you want a platform that's focused on customer lifetime value, CrossEngage offers a 360° view of every customer and the ability to create custom predictive audiences. It offers no-code predictive modeling and intelligent audience management, so you can personalize communications and manage user journeys across multiple channels. It's designed to help businesses maximize customer lifetime value and increase customer loyalty.