Implementing a customer segmentation based on the activity

Requirements

• Have a place list

Nice to have

• Relevant teams name

• Have the field _type filled in the place list

You can find a workshop dedicated to the customer segmentation based on the activity here.

Video for more explanations here

Step 1: Create a calculated attribute days_to_last_visit in the place list

• Create a calculated attribute name days_to_last_visit (attribute type: single choice)

• Create 3 options:
  

• Copy/Paste the query in the SQL query
  
  

  WITH tab0 AS (SELECT
  EXTRACT(DAY FROM NOW() - _last_visit_date::date) as difference
  FROM 
  l_place
  WHERE l_place._id='$item_id$')
  
  SELECT
  CASE
  WHEN difference < 8 THEN 'seven_days'
  WHEN difference < 31 THEN 'thirty_days'
  ELSE 'more_than_thirty_day'
  END
  FROM
  tab0

  CODE

You need to keep the same option tags and the same

Step 2: Create a new dashboard based on a json file

If the place list is in scope mobile user or single mobile user:

Download the json file and upload it in a new dashboard. (How to upload a json file here)

Segmentation mobile users.json

If the place list is in scope team or single team:

Download the json file and upload it in a new dashboard. (How to upload a json file here)

Segmentation team.json

Step 3 (optional) : Create a mapping between the option tags and the labels

If you don’t have explicit options for the field _type in the place list (for example opt1, opt2, opt3, …), you need to implement a mapping in the dashboard to have the options displaying nicely in the dashboard..

How to create a mapping here