Raise Metrics
Raise Metrics is a user analytics platform that provides insights into customer behavior on websites and mobile apps. It offers features like funnel analysis, cohort analysis, and retention tracking to understand user engagement.
user-analytics
funnel-analysis
cohort-analysis
retention-tracking
Raise Metrics: User Analytics Platform
Raise Metrics is a user analytics platform that provides insights into customer behavior on websites and mobile apps. It offers features like funnel analysis, cohort analysis, and retention tracking to understand user engagement.
What is Raise Metrics?
Raise Metrics is a robust analytics platform designed to provide digital insights into customer behavior. It integrates with websites and mobile applications to track every user action, enabling product and marketing teams to measure engagement and optimize experiences.
Key features of Raise Metrics include:
- Funnel analysis - Visualize conversion paths to identify drop-off points.
- Cohort analysis - Group users by shared traits to spot trends over time.
- Retention tracking - Understand long-term engagement with retention reports.
- Custom events - Insert code to track important actions as events.
- A/B testing - Run controlled tests to guide optimization decisions.
With an intuitive dashboard, Raise Metrics makes advanced analytics accessible for growing businesses. Customizable reports and segments provide visibility into the customer journey. Integrations with platforms like Salesforce strengthen data-driven decision making across teams. Focused specifically on user analytics, Raise Metrics provides the actionable digital insights needed to reduce churn and boost growth.
Raise Metrics Features
Features
- Funnel analysis
- Cohort analysis
- Retention tracking
- Event tracking
- User segmentation
- A/B testing
- Heatmaps
- Session recordings
Pricing
- Freemium
- Subscription-Based
Pros
Easy to implement
Intuitive dashboard
Powerful analytics
Affordable pricing
Good customer support
Cons
Limited customization options
No predictive analytics
Can be complex for non-technical users
Official Links
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