App marketing is all about the data - but how do you know what to measure? Quickly compare metrics to be sure you're tracking what matters, giving you confidence in your campaign decisions.
• Useful in identifying and preventing mobile fraud such as click flooding
• Protects user anonymity by analyzing behavioral clusters, rather than individual user data
• Segments users based on their acquisition source so you identify the highest-performing sources
• Provides behavioral insights to shape acquisition and re-engagement campaigns, highlighting characteristics of high-potential users
• Keep a close eye on fraud
• Constantly feed your pLTV model with accurate, relevant data
• Choose the right KPIs
• Segment your audience into behavioral clusters
• Define team responsibilities and consider outsourcing your model if you lack expertise in house
