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What is the purpose of cohorting based on the first month that a customer has placed an order?

  • To group customers by the month they signed up
  • To group customers by their location
  • To group customers by the month they made their first purchase (correct)
  • To group customers by their age

    • In creating a heatmap chart, what does the x-axis represent?

  • Coaching date
  • Customer segment
  • Product category (correct)
  • Number of sales

    • What does the SQL query 'SELECT product_category, COUNT(*) AS sales FROM orders GROUP BY product_category ORDER BY sales DESC;' do?

  • Filters out products with low sales
  • Lists product categories in alphabetical order
  • Returns the product category and the number of sales for each category (correct)
  • Counts the total number of products sold

    • How is the cohort chart different from the heatmap chart?

    <p>It represents customer segments over time rather than product categories</p> Signup and view all the answers

    What information does the SQL query 'SELECT cohort_date, customer_segment, COUNT(*) AS active_users FROM users GROUP BY cohort_date, customer_segment ORDER BY cohort_date;' provide?

    <p>Active users in each cohort date and their segment</p> Signup and view all the answers

    What does each line on a cohort chart represent?

    <p>Number of active users for each cohort date and segment</p> Signup and view all the answers

    Why would you add a heatmap or cohort chart to a dashboard?

    <p>To monitor trends and changes over time</p> Signup and view all the answers

    In a heatmap chart, the x-axis represents the number of sales for each product category.

    <p>False</p> Signup and view all the answers

    In a cohort chart, each line represents a different cohort date.

    <p>False</p> Signup and view all the answers

    The SQL query 'SELECT product_category, COUNT(*) AS sales FROM orders GROUP BY product_category ORDER BY sales DESC;' provides the count of active users for each product category.

    <p>False</p> Signup and view all the answers

    A cohort chart is created with the cohort date on the x-axis.

    <p>True</p> Signup and view all the answers

    In a heatmap chart, the y-axis represents the number of active users.

    <p>False</p> Signup and view all the answers

    The SQL query for creating a heatmap chart involves selecting cohort_date and customer_segment.

    <p>False</p> Signup and view all the answers

    Cohorting in this context means dividing customers based on the last month they placed an order.

    <p>False</p> Signup and view all the answers

    Match the following SQL queries with their corresponding chart type:

    <p>SELECT product_category, COUNT(<em>) AS sales FROM orders GROUP BY product_category ORDER BY sales DESC; = Heatmap chart SELECT cohort_date, customer_segment, COUNT(</em>) AS active_users FROM users GROUP BY cohort_date, customer_segment ORDER BY cohort_date; = Cohort chart</p> Signup and view all the answers

    Match the following descriptions with the correct chart element:

    <p>The x-axis represents the product category. = Heatmap chart Each line represents a different customer segment. = Cohort chart</p> Signup and view all the answers

    Match the following actions with their respective outcomes:

    <p>Cohorting based on the first month a customer placed an order. = Subdivides customers Creating a heatmap or cohort chart. = Adding it to a dashboard or sharing with users</p> Signup and view all the answers

    Match the following data components with their placement on the charts:

    <p>Product category on the x-axis and number of sales on the y-axis. = Heatmap chart Cohort date on the x-axis and number of active users on the y-axis. = Cohort chart</p> Signup and view all the answers

    Match the following SQL query results with their corresponding information:

    <p>Product category and number of sales for each category. = 'SELECT product_category, COUNT(<em>) AS sales FROM orders GROUP BY product_category ORDER BY sales DESC;' Cohort date, customer segment, and number of active users for each cohort date and segment. = 'SELECT cohort_date, customer_segment, COUNT(</em>) AS active_users FROM users GROUP BY cohort_date, customer_segment ORDER BY cohort_date;'</p> Signup and view all the answers

    Match the following terms with their correct definitions:

    <p>Cohorting in this context. = Dividing customers based on first order month Customer segment representation in a chart. = Each line in a cohort chart</p> Signup and view all the answers

    Match the following tasks with their corresponding steps:

    <p>Creating a heatmap or cohort chart. = Querying relevant data and organizing by specific fields</p> Signup and view all the answers

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