.png)
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
In the competitive landscape of SaaS, understanding user engagement is paramount to sustainable growth. Monthly Active Users (MAU) and Daily Active Users (DAU) serve as critical north star metrics that indicate product health, engagement levels, and potential revenue trajectory. For executives navigating the SaaS ecosystem, tracking these metrics effectively isn't just about collecting numbers—it's about driving strategic decision-making and forecasting business outcomes.
Why MAU and DAU Matter in the SaaS Ecosystem
Active user metrics provide a fundamental lens through which to view product adoption and stickiness. According to OpenView Partners' 2023 SaaS Benchmark Report, companies with increasing DAU/MAU ratios (often called the "stickiness ratio") demonstrate 23% higher net revenue retention compared to those with declining ratios.
For executives, these metrics offer immediate insights into:
- Product-market fit: Sustained growth in active users typically indicates you're solving a genuine market need
- Engagement quality: The relationship between daily and monthly usage reveals how essential your product is to users' workflows
- Revenue predictability: Active user trends strongly correlate with future revenue performance
- Early warning system: Declines in active usage often precede churn by 60-90 days
Defining Your Active User Metrics Correctly
The first challenge in tracking MAU and DAU isn't technical—it's definitional. What constitutes an "active" user varies significantly across product types.
Establishing Clear Definitions
Before implementing tracking, answer these critical questions:
What user actions represent meaningful engagement? For communication tools, sending a message might be sufficient. For analytics platforms, running a report may be more appropriate.
What is the minimum threshold for activity? Is a user who logs in but takes no action "active"?
Are all user types equal? Should admin users and end users be counted identically, or do they merit separate tracking?
According to Mixpanel's Product Benchmarks Report, the most successful SaaS companies define active users based on value-driven actions rather than simple logins. Their research found that companies using value-based activity definitions achieved 34% higher retention rates.
Technical Implementation of MAU and DAU Tracking
Once definitions are established, implementation becomes the focus. There are three primary approaches:
1. Product Analytics Platforms
Platforms like Amplitude, Mixpanel, and Heap offer pre-built active user tracking with minimal technical overhead.
Advantages:
- Quick implementation
- Built-in visualization and reporting
- Benchmarking capabilities
- User-level granularity
Implementation steps:
- Define custom events that constitute "activity"
- Set up user properties for cohort analysis
- Configure dashboards for daily monitoring
- Set alerts for significant changes
2. Custom Database Queries
For companies with data warehouses already in place, direct SQL queries can provide highly customized tracking.
Example SQL for DAU calculation:
SELECT DATE(timestamp) as date, COUNT(DISTINCT user_id) as daily_active_usersFROM user_eventsWHERE event_type IN ('key_action_1', 'key_action_2') AND timestamp >= DATEADD(day, -30, CURRENT_DATE)GROUP BY DATE(timestamp)ORDER BY date DESC;3. Hybrid Approach with CDPs
Customer Data Platforms like Segment or RudderStack can capture user events and route them to multiple destinations.
Best practice workflow:
- Capture all user interactions via CDP
- Stream data to both real-time analytics tools and your data warehouse
- Use analytics tools for immediate insights
- Leverage the data warehouse for deeper custom analysis
Advanced MAU and DAU Analysis for Executive Insights
Basic tracking is just the starting point. The real value emerges from deeper analysis:
DAU/MAU Ratio (Stickiness)
This metric, typically expressed as a percentage, indicates how frequently your monthly users engage with your product.
Industry benchmarks:
- Social media/messaging: 50-60%
- Business productivity: 20-30%
- Enterprise platforms: 10-20%
A VC firm Andreessen Horowitz study found that B2B SaaS companies with DAU/MAU ratios above 25% averaged 2.4x the valuation multiples of those below 15%.
Cohort Analysis
Analyze how active usage patterns evolve for specific user cohorts over time.
Key questions to answer:
- Do newer cohorts show better engagement than older ones?
- How do enterprise vs. SMB customers differ in usage patterns?
- Which customer acquisition channels produce the most active users?
Segmentation Analysis
Break down active users by key segments:
- User role: Admin vs. regular users
- Account tier: Enterprise vs. mid-market vs. SMB
- Feature adoption: Users who have/haven't adopted key features
- Customer tenure: New vs. established customers
Connecting User Activity to Business Outcomes
For SaaS executives, the ultimate value of tracking active users lies in connecting these metrics to business outcomes:
Revenue Correlation
Establish the relationship between active usage and monetary value:
- Average revenue per active user (ARPAU)
- Activity levels of customers pre-churn vs. retained customers
- Usage patterns before upgrades/expansions
According to Gainsight's Customer Success industry report, SaaS companies that correlate active usage to revenue outcomes show 18% higher net dollar retention than those focused solely on activity metrics.
Predictive Modeling
Advanced organizations use active user data to build predictive models:
- Churn prediction based on activity decline patterns
- Expansion opportunity identification through intensive usage
- Customer health scoring with activity as a key component
Implementation Roadmap for Executives
To effectively implement MAU and DAU tracking in your organization:
- Month 1: Definition and Basic Tracking
- Establish clear activity definitions
- Implement basic MAU/DAU tracking
- Create executive dashboards
- Months 2-3: Segmentation and Analysis
- Implement cohort analysis
- Develop segment-specific insights
- Begin correlating with business outcomes
- Months 4-6: Advanced Integration
- Build predictive models
- Integrate insights into product development
- Establish activity-based KPIs for teams
Conclusion: From Metrics to Strategic Advantage
Tracking MAU and DAU effectively transforms these metrics from vanity numbers into strategic tools. For SaaS executives, the goal isn't simply to count active users but to develop a nuanced understanding of user behavior that drives product strategy, customer success initiatives, and ultimately, business growth.
Companies that master active user tracking gain an invaluable early warning system for potential challenges and a compass for identifying expansion opportunities. In the increasingly competitive SaaS landscape, this intelligence isn't just helpful—it's essential for sustainable competitive advantage.
By implementing a structured approach to MAU and DAU tracking, you position your organization to make data-driven decisions that enhance product stickiness, improve customer outcomes, and accelerate revenue growth.