What is Linkrunner?
Linkrunner functions as an AI-driven Mobile Measurement Partner (MMP), designed to help businesses accelerate app growth. It centralizes marketing data from various sources, including paid ads and influencer collaborations, onto a single platform. This allows for comprehensive tracking of essential metrics such as link clicks, app downloads, generated revenue, and user retention across all campaigns.
The platform provides detailed user-level identification, offering over 30 unique user attributes. This deep level of insight enables enhanced customer personalization and data enrichment. Furthermore, Linkrunner features Link AI, an AI assistant that directly answers queries about campaign and user-level insights, significantly reducing the time typically spent on manual analytics. It also tracks Return on Ad Spend (ROAS) and retention metrics to help identify top-performing marketing channels and high-value users.
Features
- User level identification: Provides deep user identification with 30+ unique user attributes for personalization and data enrichment.
- Unified Marketing Data: Tracks link clicks, app downloads, and revenue from all marketing campaigns in one platform.
- Link AI Insights: AI assistant for querying deep campaign and user level insights, saving analytics time.
- Revenue and Retention Tracking: Tracks ROAS and retention metrics to identify top performing channels and users.
- Deep Linking & Custom Redirects: Supports deep linking and custom redirection for app links.
- Deferred Deep Linking: Enables deep linking even if the app isn't installed yet.
- Attributed Revenue Tracking: Tracks revenue generated per campaign.
- Webhooks and APIs Integration: Provides live attribution data integration via webhooks and APIs.
- Custom White Labelled Links: Allows creation of branded tracking links.
- Multi-touch Mobile Attribution: Attributes installs/events across multiple touchpoints.
- Web-to-app Attribution: Tracks user journey from web to app install/engagement.
Use Cases
- Tracking marketing campaign performance across multiple channels.
- Analyzing user acquisition sources and their value.
- Understanding user retention and lifetime value (LTV).
- Optimizing marketing spend based on ROAS.
- Personalizing user experiences based on acquisition data.
- Measuring the effectiveness of influencer marketing campaigns.
- Simplifying mobile app attribution and analytics.
