Present the most compelling in-app purchase promotions based on the user’s behavior, demographics, and geo location to maximize conversion opportunities.
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Presenting personalized in-app offers is crucial for maximizing user engagement and conversion rates in mobile apps
This use case guides you through steps to enable in-app personalization, encouraging users to explore new features, share content, and subscribe to paid plans.
To illustrate the use case, we will use a made-up music streaming app called Music.ly.
2. Identify key events:
3. Set up event tracking:
played_song: Triggered when a user plays a song.liked_song: Triggered when a user likes a song.shared_song: Triggered when a user shares a song.visited_subscription_page: Triggered when a user visits the subscription page.4. Create segments in Intempt:
Listened to 5 songs but not liked: Users who have played at least 5 songs but have not used the "Like" functionality.Listened to 10 songs but not shared: Users who have played at least 10 songs but have not used the "Share" functionality.Visited subscription page multiple times: Users who have visited the subscription page at least 5 times but have not subscribed.
Refer to Server-side personalizations for a complete guide on creating server-side personalizations.
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Listened to 10 songs but not shared.png)
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Listened to 5 songs but not liked segment is low; consider refining the content or targeting criteria.
Unlike traditional CRMs that rely on manual data entry and static records, Intempt uses AI agents to research, segment, qualify, and enrich leads continuously, keeping your pipeline moving without constant human intervention.
The built-in CDP unifies all your customer data across channels into a single profile. It resolves user identities by merging anonymous and known sessions, connects users to their companies, and combines behavioral, firmographic, and journey data. This gives your team a complete, real-time view of every customer.
You can create customer segments simply by describing them in plain language. The AI analyzes lifecycle, qualification, and engagement data to build segments automatically. These segments update in real time as new data comes in, so your campaigns always target the right audience.
Intempt pulls live enrichment data from external sources, including People Data Labs, DropContact, and other public databases. This fills in missing attributes on user and account records automatically, keeping your data complete and current.
Yes. Intempt includes built-in consent management tools for GDPR and CCPA compliance. You can collect and track user permissions, handle right-to-be-forgotten and data portability requests with one click, and offer customers a customizable preference center.
Intempt offers native integrations with popular platforms, including HubSpot, Shopify, Stripe, and more. It provides real-time data sync across your CRM, marketing, and eCommerce tools, with customizable triggers, field mappings, and data flows to fit your specific workflows.
Zero theory or mindset discussions here; just actionable marketing tactics that will grow revenue today.
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