Customer relationships
Give marketing and product teams one profile per customer with attributes, timeline and lifetime value. Group people into lifecycle segments and start personalized journeys from the same record.
Reviewed:
AppBoost CRM is the customer relationship layer for mobile app and e-commerce teams. It keeps a rich profile for each user, with attributes, a timeline that starts at first install, and lifetime value. Teams filter these profiles into lifecycle segments, import and export them as CSV, and start personalized journeys based on each customer's behavior.
The problem
Install dates live in one tool, purchases in another and campaign responses in a third. Without a single record, marketers cannot tell a loyal buyer from a lapsed installer, and product teams cannot see what a user did before they left.
Capabilities
View each customer's data in detail, from device and location to app version, last seen date and usage counter, with simple analytics on the same screen.
With revenue tracking enabled, every profile carries total purchases as LTV, so you can rank customers and see which acquisition sources bring valuable users.
Follow a customer from the moment of install through every tracked event, including campaign interactions, to understand what happened before a purchase or a lapse.
Filter by install date, last seen, LTV or last event and save the result as a segment. Past behavior segments group history, while live segments update as users act.
Record the data your business runs on as custom attributes for the app, website or point of sale, and use them in filters next to the system attributes.
Export your user data to CSV in one click for analysis in other tools, and import CSV files when you need to bring customer data in.
Trigger campaigns from user behavior, such as a welcome message after install or a reminder after inactivity, and personalize content with variables from the profile.
Target saved segments in-app, through Mailchimp audience lists, or on social and ad networks, so the customer groups you define become audiences you can reach.
How it works
Once an AppBoost SDK is integrated, system user attributes such as install date, last seen, platform, country and usage counter are tracked automatically.
Log the custom attributes and events that matter to your business for each platform. Your account manager can recommend a starting set during integration.
On the user profile screen, filter by install date, last seen, LTV or last event, then save the filter as a past behavior or live segment.
Send campaigns to a segment, start a personalized journey, or target the segment on social and ad networks and Mailchimp.
Who it is for
Work from the customer record rather than from exports, and move from a question about a customer group to a campaign for that group without leaving the tool.
Read the user timeline to see how people actually move through the product, and keep the attributes that describe them consistent across app, website and POS.
Use cases
Create a segment of users who did not launch the app for ten days, then send them a targeted push, SMS or email or start a journey built for lapsed users.
Filter by LTV to isolate the customers who spend most, then treat them differently in campaigns, for example with early access or a tailored offer.
Open individual timelines for users who stopped transacting and compare them with active buyers to see which events preceded the change.
Send saved segments to Mailchimp or ad networks so the same lifecycle groups drive email lists and paid re-targeting.
Frequently asked questions
Learn more
Step-by-step guides on docs.appgain.io
Articles from the Appgain blog
AppBoost is the mobile marketing cloud: push, deep links, attribution and lifecycle messaging. AI agents, the unified inbox, AI voice and sales automation live in ConnectGain by Appgain.
Related products
Talk to the AppBoost team about lifecycle segments and profile attributes for your app or store.