Sojourner or Habitant

To gain meaningful insights into user retention on the TFM platform, we first filtered out wallets with over 10,000 transactions to eliminate bots and contracts. This distinction allowed us to focus on genuine user activity.

1. Sojourners Dominate the Landscape

Upon analyzing the cumulative count of new wallets based on their active duration, a distinctive trend emerges. The chart reveals a substantial drop in new users from those online for a day to those online for 5 or more days (4.35k → 1.73k). This indicates that a significant portion of users could be characterized as "sojourners," engaging with the platform briefly before moving on.

2. Short-Term Engagement: Majority Exit Within 2 Days

Zooming in on users active for more than 50 days, we notice a stark decline to around 108. This emphasizes that a considerable number of users tend to be short-term participants, leaving the platform after a day or two of initial engagement. The distinction between sojourners and habitants becomes clearer as the active duration increases.

Identifying New Active Users

In the subsequent analysis, we specifically targeted new users—those transacting on the TFM for the first time. To be considered 'new active users,' individuals had to have an active duration of at least 7 days and a last active duration of 7 days or less.

3. Declining Trend in New Active Users

The charts illustrate a concerning trend in the count of new active users over time. Out of 8,800 individuals, only 204 qualify as new active users. This suggests a diminishing interest or acquisition of new users on the platform, emphasizing the need for strategies to enhance user onboarding and engagement.

What is the average time interval between a user's initial and subsequent transactions on the TFM?

What is the average duration between transactions for users within the TFM?

Explanation of cohort1_Retention_Rate

The cohort1_Retention_Rate is a crucial metric that provides insights into the retention behavior of a specific group of users, referred to as "cohort1." This cohort consists of users who made their first trade on the platform during the initial week of observation.

Definition:

Cohort1: Users who initiated their first trade within the first week of the observed period. Calculation:

The cohort1_Retention_Rate is calculated as the ratio of the count of users who continued to trade in subsequent weeks to the total count of users in cohort1. Interpretation:

A high cohort1_Retention_Rate indicates that a significant proportion of users who started trading in the first week continued to engage with the platform in the following weeks. A declining cohort1_Retention_Rate over time might suggest challenges in retaining users acquired in the initial period.

Why It Matters:

User Engagement: High retention rates signify sustained user engagement, a positive indicator for the platform's appeal and usability. User Loyalty: Retained users from the initial cohort contribute to the platform's long-term user base, potentially becoming loyal customers. Implications:

Success Metrics: Monitoring cohort retention rates is crucial for evaluating the success of user acquisition strategies and the platform's ability to retain new users over time. Identifying Trends: Changes in the cohort1_Retention_Rate trends can prompt further investigation into factors affecting user retention, guiding strategic decisions for improving user experience and engagement.

Recommendations:

Regularly monitor cohort1_Retention_Rate trends to identify patterns and make informed decisions to enhance user retention strategies. Investigate and address potential factors influencing a decline in retention rates, such as user onboarding, platform features, or market dynamics.

Conclusion:

The cohort1_Retention_Rate is a key performance indicator that provides valuable insights into the platform's ability to retain users acquired in the early stages. Understanding and addressing the factors influencing this metric can contribute to sustained growth and success.

Insights and Implications

User Dynamics: The distinction between sojourners and habitants highlights the transient nature of a significant user base. Strategies to convert short-term engagement into long-term commitment are critical.

Retention Challenges: The decline in new active users signals potential challenges in user retention. Addressing the factors contributing to this decline is crucial for sustaining and growing the user base.

Strategic Imperative: To revitalize user acquisition, focusing on optimizing onboarding processes and fostering continuous engagement is imperative. Understanding the user journey and implementing targeted interventions can make a significant impact.

Recommendations

• Enhance Onboarding Experience: Streamlining the onboarding process can improve initial user engagement and increase the likelihood of users transitioning from sojourners to habitants.

• Retention Campaigns: Implement targeted campaigns to re-engage short-term users and encourage prolonged interaction with the TFM platform.

• Data-Driven Iterations: Regularly analyze user behavior data to identify patterns and iteratively refine strategies for user retention and acquisition.

Conclusion

The analysis underscores the importance of not only acquiring new users but also retaining and nurturing their engagement over time. By understanding user behavior patterns and implementing strategic initiatives, the TFM platform can navigate challenges and foster a more robust and committed user community.