Audiences and segmentation
View rich user profiles, filter by install date, last seen, lifetime value or last event, and save segments that update as behavior changes. Use them in campaigns, journeys and ad audiences.
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AppBoost Audiences is the profile and segmentation layer for marketing and product teams who need to know who their users are and target them precisely. It provides rich user profiles with a timeline, filters on install date, last seen, LTV and last event, and saved past-behavior or live segments you can target in-app, on ad networks and in Mailchimp.
The problem
When user data is scattered, teams settle for broad sends. Audiences keeps one detailed profile per user and lets marketers define segments from behavior and attributes without waiting for a data request.
Capabilities
Open any user to see their data in detail, with simple analytics, including install date, last seen, location, device, orders and lifetime value.
Filter users by app install date, last seen, LTV, last event and other attributes, then save the result as a segment for targeting.
Follow what a user has done from the moment they install your app, so support and marketing can see the sequence behind a purchase or a churn.
Group users by actions they took before, such as everyone who launched the app in the last ten days, using one event or a mix of events and properties.
Define criteria once and AppBoost adds or removes users the moment their behavior matches, including inaction such as not using the app for a set period.
Create a segment from the rich user profile, from Smart Deep Link analytics as a conversion segment, or from push campaign analytics as a re-targeting segment.
See each user's lifetime value, the total revenue from their purchases, on the profile and use it as a filter to separate high-value customers.
Export all user data to CSV in one click, or import lists, so audiences can move into the other systems your team uses.
How it works
Once the AppBoost SDK is in your app, users are detected across your platforms and profiles start building automatically.
Open user profiles to check attributes, events and lifetime value, and confirm the data matches what you expect.
Combine filters on install date, last seen, LTV, last event and custom events or attributes to describe the group.
Choose a past-behavior segment for a fixed look-back, or a live segment that keeps membership current.
Use it in campaigns and journeys, sync it to ad networks or Mailchimp, or export it to CSV.
Who it is for
Build the exact audience for a campaign yourself, and reuse it across channels, journeys and paid media.
Inspect individual behavior and cohorts built on the same events and attributes your app already sends.
Use cases
Create a live segment of users who have not launched the app for ten days and send them a re-engagement message.
Filter by LTV and number of orders to find loyal customers and give them a separate offer.
Turn a push campaign's analytics into a re-targeting segment of users who opened but did not convert.
Create a conversion segment from Smart Deep Link analytics to re-target users who arrived through a specific link.
Frequently asked questions
Learn more
Step-by-step guides on docs.appgain.io
Articles from the Appgain blog
Related products
See how AppBoost Audiences maps onto the events and attributes your app already tracks.