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.
• Helps you assess the effectiveness of your campaigns
• Helps measure your app’s popularity (its “stickiness”) and user experience
• Indicates your app’s general health and growth potential
• 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
• Optimize your onboarding strategy so users understand the true value of your app
• Engage and re-engage users through multiple channels: push notifications, in-app notifications, emails, and SMS
• Use deep links for a seamless user experience
• 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
