For richer usage data and customer segmentation data for mobile apps, Apptopia is a good example of a data intelligence platform. It offers a variety of tools, including performance data, advertising data, SDK data, audience data and more. Its insights are based on the Nightingale Model, which uses multiple sources of truth to build a more accurate model. Daily updates mean you can get the latest information on user behavior, engagement and retention, and it's a good tool for investors, brands and sales teams looking for data to inform business decisions and drive growth.
Another option is AppsFlyer, an app marketing and growth platform that offers a single view of app performance across multiple marketing channels and devices while protecting customer privacy. It offers features like audience segmentation, deep linking and fraud protection to help businesses optimize user acquisition, engagement and lifetime value. It's used by many industries and integrates with more than 90 global partners to turn insights into growth strategies.
Fullstory is another source of behavioral data, with hundreds of events and signals that can be used to understand user behavior and sentiment. It offers predictive modeling, real-time replays, direct data integration and more. The company says its technology helps businesses build personalized experiences that lead to higher conversions and customer loyalty. It offers different pricing tiers for different business needs, so it's a good tool for app optimization.
Last, data.ai offers AI-powered insights to help businesses optimize mobile experiences. With tools like the Mobile Performance Score (MPS), real-time alerts and cloud data warehouse integration, data.ai offers a single view of app performance. It's geared for product management, marketing and other roles that need to make fast and confident decisions. It offers flexible pricing tiers, so it's available to businesses of different sizes.