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How Active How Active Members Are Calculated Are Calculated

How the system calculates active members

Ronny Christensen avatar
Written by Ronny Christensen
Updated over a month ago
📌 Method: ActiveMembers

This article explains how the system calculates the number of active members within a given time period.

How are active members calculated?

To determine how many members were active on a specific day, we do the following:

Retrieving Membership Data

  • The system pulls all memberships that are valid within the selected period.

Counting Active Members Daily

  • We check for each day in the period how many members still have an active membership.

Filtering Based on Membership Length

  • Members with a membership shorter than the specified minimum length (e.g., 30 days) are not counted.

Grouping Data Per Month
To make the data more comprehensible, it is grouped into a candlestick chart showing:

  • Opening value (first day of the month)

  • Closing value (last day of the month)

  • Highest and lowest number of active members in the period

Example Calculation

Suppose we want to calculate the number of active members for March.

Period: March 1 – March 31
Minimum membership length: 30 days

Members and their membership periods:

Member ID

Start Date

End Date

Active in March?

101

January 1

March 5

102

February 10

April 15

103

March 1

March 30

104

March 20

March 25

❌ (too short)

105

January 1

December 31

Now, we count day by day how many members have an active membership:

  • March: 3 active members (101, 102, 105)

  • March: 2 active members (102, 105) (101 leaves)

  • March: 3 active members (102, 103, 105) (104 is too short and is not counted)

Monthly Overview:

  • Opening: 3 members

  • Closing: 3 members

  • Highest count: 3 members

  • Lowest count: 2 members

These values are used to draw the candlestick chart.

Why is this important?

This calculation shows how many members are active on a given day. If the number of active members decreases over time, it may indicate low engagement, increasing the risk of churn. It provides the company with insights into when most members are active, allowing them to plan campaigns or adjust opening hours.

💡 Result: A graph showing changes in the number of active members over time.

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