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.
• Shows how effective you are (or not) at retaining users
• Provides insight into when and why users leave, so you can improve the experience
• Can highlight issues in the marketing funnel, eg poor targeting or an ill-defined proposition
• 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
• Improve the user experience and invest in customer service
• Gather user feedback to improve your offering
• Ensure your ad messaging aligns with the product experience (set realistic expectations)
• Review your audiences and channels to ensure you’re reaching your ideal users
• 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
