{% extends "layouts/base.html" %} {% block title %} Cohorts {% endblock %} {% block stylesheets %}{% endblock stylesheets %} {% block content %}
Sessions Of Actions Funnel
Dimension selection
  • Cohorts are aggregated count of customers who are acting in same way at given time period. In our study, cohorts covers number of customers who have same transaction in given time period and upcoming days/weeks.
  • What are the metrics for Cohorts?
    Download to First order, First to Second, Second to Third, Third to Fourth Order Cohorts.
  • Download to First Order Cohort
    If there isn`t any downloaded date, you may assign any date which is related to customers of first event with your business. This cohort of date column represent download date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the downloaded date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have downloads in 2021-05-06 and have first orders 10 days later.
  • First to Second Order Cohort
    This cohort of date column represent first order date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the first order date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have first orders in 2021-05-06 and have second orders 10 days later.
  • Second to Third Order Cohort
    This cohort of date column represent second order date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the second order date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have second orders in 2021-05-06 and have third orders 10 days later.
  • Third to Fourth Order Cohort
    This cohort of date column represent third order date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the third order date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have third orders in 2021-05-06 and have fourth orders 10 days later.
Daily Download to 1st Order Cohort {% if data_type['daily_cohort_downloads'] == False %} sample data {% endif %}
Daily Cohort From 1st to 2nd Order {% if data_type['daily_cohort_from_1_to_2'] == False %} sample data {% endif %}
Daily Cohort From 2nd to 3rd Order {% if data_type['daily_cohort_from_2_to_3'] == False %} sample data {% endif %}
Daily Cohort From 3rd to 4th Order {% if data_type['daily_cohort_from_3_to_4'] == False %} sample data {% endif %}
Weekly Download to 1st Order Cohort {% if data_type['weekly_cohort_downloads'] == False %} sample data {% endif %}
Weekly From 1st to 2nd Order Cohort {% if data_type['weekly_cohort_from_1_to_2'] == False %} sample data {% endif %}
Weekly Cohort From 2nd to 3rd Order {% if data_type['weekly_cohort_from_2_to_3'] == False %} sample data {% endif %}
Weekly Cohort From 3rd to 4th Order {% if data_type['weekly_cohort_from_3_to_4'] == False %} sample data {% endif %}
{% endblock content %} {% block javascripts %} {% endblock javascripts %}