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Bucketing users by revenue

Based on his analysis, Dave identified that $150 is a good cut-off for low-revenue users, and $300 is a good cut-off for mid-revenue users. He wants to find the number of users in each category to tweak Delivr's business model.

Split the users into low, mid, and high-revenue buckets, and return the count of users in each group.

Cet exercice fait partie du cours

Analyzing Business Data in SQL

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Instructions

  • Store each user ID and the revenue it generates in the user_revenues CTE.
  • Return a table of the revenue groups and the count of users in each group.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

WITH user_revenues AS (
  SELECT
    -- Select the user IDs and the revenues they generate
    ___,
    ___ AS revenue
  FROM meals AS m
  JOIN orders AS o ON m.meal_id = o.meal_id
  GROUP BY user_id)

SELECT
  -- Fill in the bucketing conditions
  CASE
    WHEN ___ THEN 'Low-revenue users'
    WHEN ___ THEN 'Mid-revenue users'
    ELSE 'High-revenue users'
  END AS revenue_group,
  ___ AS users
FROM user_revenues
GROUP BY revenue_group;
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