๐Ÿ“— Activation, retention and monetization metrics for various product types, with examples

Metrics are critical indicators that provide insights into the health and performance of a product. Each function has core areas to focus on to drive business results. In product management, activation, retention, and monetization are universal areas across all product types that will help us achieve business growth. They form the cornerstone of understanding user behavior, ensuring sustained engagement, and driving revenue. But what exactly are these metrics, why are they so important, and how do they connect to business goals?

In this reading, we'll look into activation, retention, and monetization metrics for five distinct product types: B2C productivity SaaS, e-commerce, edtech, internal products, and tech products. Using real-world examples like Doodle, furniture and fashion e-commerce, Duolingo, product detail uploaders, and APIs/SDKs, we'll explore how these metrics can be applied to drive growth and success.

B2C Productivity SaaS: Doodle

Activation Metrics: Activation for a productivity tool like Doodle involves ensuring that users understand the core value quickly and can start using it effectively. Key metrics include:

  • Time to First Value (TTFV): Measure how long it takes for a new user to create their first poll.

  • Onboarding Completion Rate: Track the percentage of users who complete the onboarding process.

  • Feature Adoption: Monitor which features are used first and how frequently.

  • User Engagement with Tutorials: Track how many users engage with and complete tutorial content.

  • Account Creation Rate: Percentage of visitors who create an account after first visiting the site.

Retention Metrics: Retention is critical for SaaS products, as continuous usage indicates value. Key metrics include:

  • DAU/MAU Ratio (Daily Active Users/Monthly Active Users): This ratio helps gauge how sticky the product is.

  • Churn Rate: Calculate the percentage of users who stop using the product over a specific period.

  • Cohort Analysis: Understand how different user cohorts retain over time based on their activation source or behavior.

  • Feature Usage Frequency: Monitor how often key features are used over time.

  • Customer Satisfaction (CSAT): Collect user feedback regularly to measure satisfaction levels.

Monetization Metrics: Monetization for a SaaS like Doodle revolves around subscriptions and premium features. Key metrics include:

  • Customer Lifetime Value (CLTV): Estimate the total revenue a user is expected to generate during their lifetime.

  • Average Revenue Per User (ARPU): Measure the average revenue generated per user.

  • Conversion Rate: Track the percentage of users who convert from free to paid plans.

  • Upsell and Cross-sell Rate: Measure how effectively additional products or features are sold to existing users.

  • Renewal Rate: Percentage of users who renew their subscription after the initial term.

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E-commerce: Furniture vs. Fashion

Activation Metrics: For e-commerce, activation metrics focus on a user's initial interactions with the platform. Key metrics include:

  • Account Creation Rate: Percentage of visitors who create an account.

  • First Purchase Rate: Measure how quickly and how many users make their first purchase.

  • Product View to Add to Cart Ratio: Track how many product views result in an "Add to Cart" action.

  • Browse Abandonment Rate: Percentage of users who leave the site after browsing without adding items to the cart.

  • Email Signup Rate: Track how many visitors sign up for promotional emails.

Retention Metrics: Retention in e-commerce ensures users return for repeat purchases. Key metrics include:

  • Repeat Purchase Rate: Percentage of customers who make a second purchase.

  • Purchase Frequency: Average number of purchases made by a customer in a given period.

  • Customer Loyalty Program Engagement: Track participation and activity in loyalty programs.

  • Customer Retention Rate: Percentage of customers who return within a specified period.

  • Product Return Rate: Track the percentage of purchased items that are returned.

Monetization Metrics: Monetization focuses on maximizing revenue from each customer. Key metrics include:

  • Average Order Value (AOV): The average amount spent each time a customer places an order.

  • Gross Margin: Revenue minus the cost of goods sold.

  • Cart Abandonment Rate: Percentage of users who add items to their cart but donโ€™t complete the purchase.

  • Customer Lifetime Value (CLTV): Estimate the total revenue a customer is expected to generate during their lifetime.

  • Sales Conversion Rate: Percentage of visitors who make a purchase.

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Edtech: Duolingo

Activation Metrics: For edtech platforms like Duolingo, activation involves getting users started on their learning journey. Key metrics include:

  • Lesson Completion Rate: Percentage of users who complete the first lesson.

  • Account Creation Rate: Track how many users sign up after their initial visit.

  • First Week Engagement: Measure user activity during the first week after sign-up.

  • Course Enrollment Rate: Percentage of users who enroll in a course after signing up.

  • Time to First Achievement: Measure how quickly users earn their first badge or achievement.

Retention Metrics: Retention ensures learners continue using the platform to achieve their goals. Key metrics include:

  • Daily Active Users (DAU): Number of users who engage with the platform daily.

  • Lesson Completion Rate Over Time: Track the number of lessons completed over time.

  • Streaks: Monitor the number of users maintaining learning streaks.

  • Course Completion Rate: Percentage of users who complete an entire course.

  • User Feedback and Ratings: Collect and analyze user feedback to gauge satisfaction and areas for improvement.

Monetization Metrics: Monetization in edtech often involves subscriptions and in-app purchases. Key metrics include:

  • Subscription Conversion Rate: Percentage of users who upgrade to a premium plan.

  • In-App Purchase Revenue: Revenue generated from purchases within the app.

  • Course Completion Rate: Track the percentage of users who complete a full course, indicating high engagement and potential for upsell.

  • Ad Revenue: Revenue generated from ads shown to free users.

  • Average Revenue Per User (ARPU): Measure the average revenue generated per user.

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Internal Products: Product Details Uploader for E-commerce

Activation Metrics: For internal tools, activation metrics ensure the team quickly adopts and effectively uses the product. Key metrics include:

  • User Onboarding Time: Measure the time it takes for a new user to start using the tool effectively.

  • Task Completion Rate: Track how many tasks are completed using the tool.

  • User Feedback: Collect qualitative feedback during the initial stages of use.

  • Time to First Task Completion: Measure how quickly users complete their first task after onboarding.

  • Training Participation Rate: Track the percentage of users who complete any provided training or tutorials.

Retention Metrics: Retention for internal tools focuses on continuous usage and satisfaction. Key metrics include:

  • Monthly Active Users (MAU): Number of users who consistently use the tool each month.

  • Task Completion Efficiency: Measure the time and effort required to complete tasks over time.

  • Employee Satisfaction Score: Regular surveys to gauge user satisfaction with the tool.

  • Usage Frequency: Monitor how often the tool is used by each user.

  • Internal Support Requests: Track the number of support requests related to the tool.

Monetization Metrics: While internal tools may not directly generate revenue, efficiency and cost savings are crucial. Key metrics include:

  • Cost Savings: Calculate savings generated by using the tool compared to previous methods.

  • Productivity Gains: Measure improvements in productivity and efficiency.

  • Support Requests: Track the number of support requests to identify usability issues.

  • Operational Efficiency: Measure the reduction in time and errors in task completion.

  • ROI (Return on Investment): Calculate the financial return compared to the cost of developing and maintaining the tool.

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Tech Products: APIs and SDKs

Activation Metrics: For APIs and SDKs, activation metrics focus on developer onboarding and initial integration. Key metrics include:

  • Time to First API Call: Measure how quickly a developer can make their first successful API call.

  • Documentation Engagement: Track how often the documentation is accessed and used.

  • Signup to Integration Ratio: Percentage of developers who sign up and integrate the API/SDK into their application.

  • SDK Downloads: Number of times the SDK is downloaded.

  • API Key Activation Rate: Percentage of API keys generated that are activated and used.

Retention Metrics: Retention metrics ensure developers continue to use and rely on the API/SDK. Key metrics include:

  • Monthly Active Developers (MAD): Number of developers actively using the API/SDK each month.

  • API Call Volume: Track the number and frequency of API calls over time.

  • Developer Satisfaction: Collect feedback through surveys and support interactions.

  • Support Ticket Volume: Number of support tickets submitted by developers, indicating ongoing engagement.

  • Feature Usage Rate: Track how often key features of the API/SDK are used.

Monetization Metrics: Monetization for APIs and SDKs involves usage-based pricing or subscription models. Key metrics include:

  • Revenue per API Call: Average revenue generated per API call.

  • Developer Conversion Rate: Percentage of developers who move from free to paid tiers.

  • Churn Rate: Track the percentage of developers who stop using the API/SDK.

  • Average Revenue per Developer (ARPD): Measure the average revenue generated per developer.

  • Upsell and Cross-sell Rate: Measure how effectively additional products or features are sold to existing developers.

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Disclaimer

This overview is supposed to give you an inspiration for your own product. It has no claim to be exhaustive. Also, your very concrete metrics will depend on your product's context.