Netmera User Guide
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Quick Steps Guideline
Go to your Netmera Panel and click:
Analytics -> Retention/Cohort
  1. 1.
    Decide on your Time Period and Event (for cohort).
  2. 2.
    You will see charts about your retention and cohort analysis.
  3. 3.
    Click "Export" if you wish to export your data.

Introduction to Retention and Cohort

What is Retention?

Retention is a metric used to measure the ability of a product or service to retain its users over a specific period. It provides insights into how well a business is keeping its customers engaged and interested over time. In the context of mobile apps or online platforms, user retention is measured by tracking the percentage of users who clidked a push notification.

What is Cohort?

Cohort analysis involves grouping users based on a shared events within a defined time frame. In Netmera, two events are determined in Cohort. After the first event selected, the realization of the second event is checked. It helps businesses understand user behavior and measure the impact of specific events on user engagement and conversion rates. A cohort is typically a group of users who share a common characteristic or who performed a specific action within a certain time period.

Retention Dashboard

Retention analysis is a powerful feature that allows you to track and measure user engagement over time. Here's a step-by-step guide on how to make the most of the Retention screen:

1. Start Date Selection

Begin by determining the start date for your analysis. This serves as the reference point for forming a monthly list of unique users who have performed the "Open App" event including the specified day.

2. Users

Navigate to the Users tab to follow unique users who have performed the "OpenApp" event on different days. This provides a comprehensive view of user engagement based on the day the first "OpenApp" was made.

3. %of Users OpenApp Retention Screen

On the Retention screen, you can examine the percentage of users who performed the "OpenApp" event again on subsequent days—1 day later, 2 days later, and up to 28 days later. This analysis helps you understand user retention patterns and the longevity of their engagement.

4. Export and Detailed Examinations

Export the Retention screen via email to conduct more detailed examinations offline. This export functionality allows for in-depth analysis, sharing insights with stakeholders, and integrating the data into other analytical tools for a comprehensive view.

Cohort Dashboard

Cohort analysis enables you to understand user behavior based on two selected events. Follow these steps to leverage Cohort analysis effectively:

1. Event Selection

Choose two events for Cohort analysis. The first event allows you to list unique users at the selected time. For example, if the First Event is "OpenApp" and the Second Event is "Purchase," you can track the percentage of users who performed the "Purchase" event after doing "OpenApp" on the selected day.

2. Saved Cohort Params

"Saved Cohort Params" section provides a snapshot of the key details associated with a saved cohort. It helps users understand the characteristics of the cohort, the date it was created, and the specific criteria used to define the group of interest. Also you might find or delete the saved cohorts here.

3. Cohort Screen

On the Cohort screen, observe the correlation between the selected events. This analysis provides valuable insights into user behavior and conversion rates.
  • Day of "Event": This column represents the day of the initial event.
  • Users: The values in this column indicate the number of users who returned to perform the initial event on the specified day.
  • % of Users "Event": This column shows the percentage of users who returned to perform the first event relative to the total number of users who initially performed the second event.

4. Export and Detailed Examinations

Similar to Retention, export the Cohort screen via email for detailed examinations. This export feature facilitates a deeper understanding of user journeys, enabling data-driven decisions and optimizations.