I got confused in the lessons 105-107, about how to filter refunded = FALSE in WHERE and when to use in the LEFT JOIN .... ON.

In which metric should I use it in WHERE: ARPU or ARPPU?

Could you clarify it to me, please?

This might be a bit silly, I am new to SQL so pardon my simple queries. I was practicing calculating purchase rate in lesson 26 and I decided to create my own queries. The question my own query should answer is “What is the % of users who are trial users and signed up in the first 2 weeks of Bindle existance”.

So I wrote a query that calculates this (Query 1), and I wanted to check this with another query (Query 2) to see if the result is correct. I can’t figure out why I am missing 1% of the users when I run the 2nd query.

Query 1

Calcualate % of the users who are trial users and signed up in the first 2 weeks of Bindle existance. This query produces a result of 36%:

SELECT
  100 * COUNT(CASE WHEN status = 'trial' THEN id END) /
  COUNT(*) AS trial_users_first_2_weeks_Jan_2018
FROM users
WHERE
  signup_date BETWEEN '2018-01-01' AND '2018-01-14'  

Query 2

Below query should return 64% as the query above returned 36% but it returns 63% and I don’t know why.

SELECT
  100 * COUNT(CASE WHEN status = 'customer' OR status = 'free' THEN id END) /
  COUNT(*) AS non_trial_users_first_2_weeks_Jan_2018
FROM users
WHERE
  signup_date BETWEEN '2018-01-01' AND '2018-01-14'

Query 3

Below query shows all unique values for status column in the user table for the same time frame as previous queries. I used it to figure out how to structure second query.

SELECT DISTINCT status
FROM users
WHERE 
  signup_date BETWEEN '2018-01-01' AND '2018-01-14'

Thank you.

Hello, I have a questions and it is…

I have created_date and resolved_date as columns in tickets table. In other table I have sat_calendar with all days since 2020-06-01 and I identified Sunday, Saturdays and Holidays in description column.

But now I need to calculate difference between created_date and resolve_date in working_days.

I did new table with row_number to working_day but I couldn’t do put ‘the previuos’ number if the created or resolved date is some holiday.

Could someone help me please?

Hey everyone!

In lesson 107, there is this helpful nuance that if we adjust the where clause to included refunded customers in an ARPU calculation (as opposed to the AND clause in a LEFT JOIN) that you would get ARPPU.

I dbl checked that and found a small discrepancy. I just wanted to make sure my thinking here is right.

I updated the select lines to show tables and it looks like this claim would be true exccept there are more than 2 values for status. The second query shows a slight difference from the first becacuse there are “trial” and “free” users, I think.

Am I getting this right?

SELECT
  -- SUM(amount) / COUNT(DISTINCT(u.id)) AS ARPPU
  *
FROM users u
LEFT JOIN purchases p
  ON u.id = p.user_id
    AND refunded = FALSE
WHERE
  status = 'customer'

-- arppu 58.5

SELECT
  -- SUM(amount) / COUNT(DISTINCT(u.id)) AS ARPPU
  *
FROM users u
LEFT JOIN purchases p
  ON u.id = p.user_id
WHERE
  refunded = FALSE

-- arppu 56.8

Hey everyone,

I’m working on lesson 97, Left Join 101, and I tried counting rows for a query with inner join vs left join and got the same results. My understanding is that inner joins would return results with only matches, and left join will include rows with null values.

I would expect left joins, keeping all things else equal, would return greater results. Am I missing something?

SELECT COUNT(user_id)
FROM books b
LEFT JOIN books_users u
  ON u.book_id = b.id

-- returns  1667

SELECT COUNT(user_id)
FROM books b
INNER JOIN books_users u
  ON u.book_id = b.id

-- returns  1667

I am exploring an alternative solution to the one shown for Exercise 204.

My question is, why can we not filter out refunded values within the WHERE clause?

WITH ab_test_categorization AS (
  SELECT
    user_id,
    custom_parameters ->> 'ab_test_name' AS ab_test_name,
    custom_parameters ->> 'ab_test_variation' AS ab_test_variation,
    created_at AS categorized_at
  FROM mobile_analytics.events
  WHERE
    custom_parameters ->> 'ab_test_name' IS NOT NULL
    AND action = 'signup'
), ab_test_stats AS (
  SELECT
    ab_test_variation AS variation,
    COUNT(DISTINCT(c.user_id)) / SUM(p.amount) AS arpu
  FROM ab_test_categorization c
  LEFT JOIN purchases p
    ON c.user_id = p.user_id
  WHERE
    ab_test_name = 'longer_onboarding_201803'
    AND p.refunded = FALSE
  GROUP BY 1
)

SELECT
  variation,
  arpu
FROM ab_test_stats

Are there any performance differences between INNER JOIN and LEFT JOIN? For instance, this following subquery from lesson 207 could have been written with an INNER JOIN.

WITH user_activity AS (
  SELECT
    u.user_id,
    u.created_at::date AS signup_date,
    e.created_at::date AS activity_date,
    COUNT(*) AS events_counts
  FROM mobile_analytics.events u
  LEFT JOIN mobile_analytics.events e
    ON e.user_id = u.user_id  
  WHERE
    u.action = 'signup'  
  GROUP BY 1, 2, 3
  ORDER BY signup_date ASC, user_id ASC
)

SELECT *
FROM user_activity

WITH spends AS (
  SELECT
    utm_campaign,
    SUM(amount) AS total_spend
  FROM marketing_spends
  GROUP BY 1
), total_customers AS (
  SELECT
    utm_campaign,
    COUNT(*) AS customers_count
  FROM users
  WHERE 
    utm_campaign IS NOT NULL
    AND status = 'customer'
  GROUP BY 1
)

SELECT
  s.utm_campaign,
  total_spend / customers_count AS CAC
FROM spends s
LEFT JOIN total_customers u
  ON s.utm_campaign = u.utm_campaign
ORDER BY 2 ASC NULLS LAST

I think the utm_campaign IS NOT NULL filter used here is redundant because we’re doing a LEFT JOIN from the spends CTE and the marketing_spends table has no NULLs under its utm_campaign column. It would, however, make a difference if we did the join the other way round.

I’m in lesson 110. CPA Cost per acquisition

In this lesson appears the following query:

WITH spends AS (
  SELECT
    utm_source,
    SUM(amount) AS total_spend
  FROM marketing_spends
  GROUP BY 1  
), total_users AS (
  SELECT
    utm_source,
    COUNT(*) AS users_count
  FROM users
  WHERE 
    utm_source IS NOT NULL
  GROUP BY 1
)

SELECT
  s.utm_source,
  total_spend / users_count AS CPA
FROM spends s
INNER JOIN total_users u
  ON s.utm_source = u.utm_source

However, I tried to do the exercise by my own using the following query:

SELECT ms.utm_source, SUM(amount), COUNT(DISTINCT(u.id))
FROM marketing_spends ms  
LEFT JOIN users u  
  ON u.utm_source = ms.utm_source
GROUP BY 1

But I get different results for the amount spent, I don’t understand why it is, the users count is correct.