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.
• 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
• Good indicator of overall campaign performance
• Guides decisions on budgets, channels, and creatives
• Provides a snapshot for simple reporting
• 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
• Test and optimize your creatives, channels, and landing page
• Lower your ad cost by improving your quality score and using smarter bidding strategies
• Re-engage high-value users
• Analyze user behavior and look to optimize campaigns based on predictive analytics
