Examples of relevant product metrics frameworks applied to specific scenarios

Five examples of relevant product metrics frameworks applied to specific scenarios.


 1. AARRR (Pirate Metrics)

E-commerce Platform:

- Acquisition: Number of new users acquired through social media ads, email campaigns, and referrals.

- Activation: Percentage of new users completing their first purchase within the first week.

- Retention: Monthly retention rate of active users who return to make repeat purchases.

- Referral: Number of new customers acquired through referral programs.

- Revenue: Total revenue generated from sales, average order value, and customer lifetime value.

 

SaaS Project Management Tool:

- Acquisition: Number of new sign-ups through organic search, paid advertising, and partnerships.

- Activation: Percentage of new users completing the onboarding process and creating their first project.

- Retention: Churn rate of users who stop using the platform and monthly active user growth.

- Referral: Percentage of users referring others to the platform and the resulting user growth.

- Revenue: Monthly recurring revenue (MRR), upgrade rates, and average revenue per user (ARPU).

 

 2. HEART Framework

Social Media Platform:

- Happiness: User satisfaction scores from surveys, sentiment analysis of comments and posts.

- Engagement: Daily active users, time spent per session, likes, comments, and shares.

- Adoption: Percentage of users adopting new features, such as Stories or Reels.

- Retention: User retention rate over time, frequency of returning users.

- Task Success: Completion rates for key user tasks, such as posting content or messaging.

 

E-learning Platform:

- Happiness: Student satisfaction ratings, feedback from course evaluations.

- Engagement: Time spent on platform, number of lessons completed per user.

- Adoption: Percentage of students using interactive features like quizzes or discussion forums.

- Retention: Course completion rates, student dropout rates.

- Task Success: Assessment scores, completion rates for assignments and quizzes.

 

 3. RICE Framework

Product Feature Prioritization:

- Reach: Estimated number of users impacted by implementing the feature.

- Impact: Predicted increase in user engagement or revenue due to the feature.

- Confidence: Level of certainty in the estimates based on user research and data.

- Effort: Time and resources required to develop and implement the feature.

 

Marketing Campaign Planning:

- Reach: Estimated audience size reached through different channels (e.g., social media, email, PPC).

- Impact: Predicted increase in brand awareness, website traffic, or sales.

- Confidence: Level of certainty in the campaign's effectiveness based on past performance or market research.

- Effort: Resources required for campaign execution, including budget, time, and personnel.

 

 4. North Star Metric

E-commerce Marketplace:

- North Star Metric: Monthly Gross Merchandise Value (GMV), representing the total sales volume transacted on the platform.

- This metric aligns with the platform's primary goal of facilitating transactions between buyers and sellers and driving revenue growth.

 

Social Networking App:

- North Star Metric: Monthly Active Users (MAU), indicating the number of users who engage with the app each month.

- This metric aligns with the app's goal of maximizing user engagement and retention.

 

 5. Lean Analytics Framework

Healthcare App:

- Stages: Acquisition, Activation, Retention, Referral, Revenue.

- Metrics: Number of new patient sign-ups, completion rate of onboarding process, patient retention rate, referrals from existing patients, revenue from subscription plans or consultation fees.

 

Food Delivery Service:

- Stages: Acquisition, Activation, Retention, Referral, Revenue.

- Metrics: Number of new customer registrations, percentage of new customers placing their first order, customer retention rate, referrals from existing customers, revenue from order commissions and delivery fees.

 

These examples illustrate how different product metrics frameworks can be applied to diverse industries and scenarios to measure and optimize key performance indicators based on specific goals and objectives.

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