Sojourner or Habitant

To gain meaningful insights into user retention across Stablejack protocol, 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.

• Sojourners Dominate the Landscape

Upon analyzing the cumulative count of new wallets based on their active duration, a distinctive trend emerges[The area chart below].

Identifying New Active Users

In the subsequent analysis, we specifically targeted new users—those transacting on the platform 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[The bar/line chart below].

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 interaction on the platform during the initial week of observation.

Definition:

Cohort1: Users who initiated their first transaction 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 interact 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 interacting 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.

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.

The table and chart provided offer insights into user counts based on the number of weeks they remained active, illustrating their level of engagement during the first week and subsequent weeks.

Analyzing this data and the corresponding visualization, a notable observation is the high retention rate among users who were active for zero weeks. This indicates that a significant majority of users engaged with the platform for only the first week and did not extend their interaction beyond. It is evident that encouraging continued engagement beyond the initial week is a critical aspect for enhancing overall user retention and fostering a sustained user base within the network.

We want to determine the number of Stablejack users returning to transact within the platform.

The table we're using for this analysis is the standard retention table, a familiar and useful tool. We typically segment it by time, often in months, to track user retention and assess whether users are staying engaged. This kind of retention table is widely used and valuable.

When we examine the table horizontally, we can identify special behavior within a cohort. For example, we observe particularly robust and consistent retention in the most recent cohort, possibly indicating early adopters who are highly loyal.

Looking vertically allows us to spot trends in retention, helping us pinpoint when customers might lose interest in the product and churn. Additionally, the 'new users' column allows us to track the influx of new users over time.

Examining the table diagonally gives us insight into the current state of affairs across all cohorts. This method is particularly useful for understanding if the product is performing well overall. Essentially, it helps us determine if a rising tide is indeed lifting all boats, providing a comprehensive analysis across all cohorts.