Appsflyer metrics

App marketing metrics comparison

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.

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VS

Monthly active users (MAU) VS Predicted lifetime value (pLTV)

Description
Monthly active users (MAU)
MAU measures the number of unique users who engage with your app over the course of a month.
Predicted lifetime value (pLTV)
pLTV combines past learnings with current measurements to predict how much revenue a user will bring in over the time they use your app.
Target audience
Monthly active users (MAU)
App owners, marketers, and product managers
Predicted lifetime value (pLTV)
App owners and marketers
Benefits
Monthly active users (MAU)

• Indicates engagement and retention over time
• Shows the effectiveness of your marketing activities and user experience
• Helps you assess current and potential growth

Predicted lifetime value (pLTV)

• 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

How to calculate
Monthly active users (MAU)
Total number of unique users who meet your defined "active" criteria and interacted with your app in a set 30-day period
Predicted lifetime value (pLTV)
N/A - models are based on machine learning algorithms
How to improve it?
Monthly active users (MAU)

• 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

Predicted lifetime value (pLTV)

• 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

Read more
Monthly active users (MAU)
Predicted lifetime value (pLTV)
Background
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