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Daily, Weekly, Monthly Active Users (DAU, WAU, MAU)

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Use case

We want to know the customer engagement of our store. To do this, we need to use an Active Users metric.

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Data modeling

Daily, weekly, and monthly active users are commonly referred to as DAU, WAU, MAU. To get these metrics, we need to use a rolling time frame to calculate a daily count of how many users interacted with the product or website in the prior day, 7 days, or 30 days. Also, we can build other metrics on top of these basic metrics. For example, the WAU to MAU ratio, which we can add by using already defined weekly_active_users and monthly_active_users. To calculate daily, weekly, or monthly active users we’re going to use the rolling_window measure parameter. 
cubes:
  - name: active_users
    sql: |
      SELECT user_id, created_at FROM public.orders

    measures:
      - name: monthly_active_users
        type: count_distinct
        sql: user_id
        rolling_window:
          trailing: 30 day
          offset: start

      - name: weekly_active_users
        type: count_distinct
        sql: user_id
        rolling_window:
          trailing: 7 day
          offset: start

      - name: daily_active_users
        type: count_distinct
        sql: user_id
        rolling_window:
          trailing: 1 day
          offset: start

      - name: wau_to_mau
        title: WAU to MAU
        type: number
        sql:
          "1.0 * {weekly_active_users} / NULLIF({monthly_active_users}, 0)"
        format: percent

    dimensions:
      - name: created_at
        type: time
        sql: created_at

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Query

We should set a timeDimensions with the dateRange. 
curl cube:4000/cubejs-api/v1/load \
  'query={
    "measures": [
      "active_users.monthly_active_users",
      "active_users.weekly_active_users",
      "active_users.daily_active_users",
      "active_users.wau_to_mau"
    ],
    "timeDimensions": [
      {
        "dimension": "active_users.created_at",
        "dateRange": [
          "2020-01-01",
          "2020-12-31"
        ]
      }
    ]
  }'

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Result

We got the data with our daily, weekly, and monthly active users. 
{
  "data": [
    {
      "active_users.monthly_active_users": "22",
      "active_users.weekly_active_users": "4",
      "active_users.daily_active_users": "0",
      "active_users.wau_to_mau": "18.1818181818181818"
    }
  ]
}

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Source code

Please feel free to check out the full source code or run it with the docker-compose up command. You’ll see the result, including queried data, in the console.