BeMob
BeMob is a mobile app analytics and attribution platform that provides insights into user acquisition, behavior and retention. It enables measuring marketing campaign performance across multiple channels.
mobile
analytics
attribution
user-acquisition
user-behavior
user-retention
BeMob: Mobile App Analytics and Attribution Platform
BeMob is a mobile app analytics and attribution platform that provides insights into user acquisition, behavior and retention. It enables measuring marketing campaign performance across multiple channels.
What is BeMob?
BeMob is a mobile analytics and attribution platform designed specifically for app developers and mobile marketers. It provides detailed insights into user acquisition, behavior, retention and overall marketing performance across multiple channels.
Key features of BeMob include:
- Attribution modeling to understand the true impact of each marketing channel on app installs.
- Actionable analytics to see which channels, campaigns and creatives drive the most loyal and valuable users.
- Flexible dashboards and reports to segment users by source, cohort, geography, device and more.
- Real-time data and notifications to monitor campaigns and user metrics as they happen.
- Audience management tools for granular targeting, lookalike modeling, custom properties and more.
- Integrations with major advertising platforms like Facebook, Google, Apple Search Ads, adjust and more.
BeMob aims to provide mobile marketers with a single intuitive platform containing all the features needed for smarter UA and app optimization. The company offers customized consulting to help developers use analytics to improve monetization as well as retention.
BeMob Features
Features
- User analytics
- Attribution modeling
- Funnel analysis
- Retention tracking
- A/B testing
- Push notifications
Pricing
- Subscription-Based
Pros
Detailed analytics and insights
Attribution across multiple channels
Easy to integrate APIs
Good for optimizing user acquisition
Cons
Can get complex for non-analysts
Requires expertise to get full value
Limited flexibility in attribution models
Official Links
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