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Funnel Analysis.sql
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251 lines (230 loc) · 10.2 KB
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-- --------------------------OVERALL FUNNEL ANALYTICS ( home_page -> search_page -> payment_page -> payment_confirmation_page )---------------------
WITH funnel_overall AS (
SELECT COUNT(*) AS Users,
' HOME PAGE' AS PAGE
FROM home_page_table
UNION ALL
SELECT COUNT(*),
' SEARCH PAGE'
FROM search_page_table
UNION ALL
SELECT COUNT(*),
' PAYMENT PAGE'
FROM payment_page_table
UNION ALL
SELECT COUNT(*),
' PAYMENT CONFIRMATION PAGE'
FROM payment_confirmation_table
)
SELECT
PAGE,
Users,
CONCAT(ROUND((Users / LAG(Users, 1, Users) OVER()) * 100, 2), '%') AS Conversion_rate,
CONCAT(ROUND(100 - (Users / LAG(Users, 1, Users) OVER()) * 100, 2), '%') AS Drop_off_rate,
CONCAT(ROUND((Users / (SELECT MAX(Users) FROM funnel_overall))*100, 2), '%') AS Cumulative_conversion_rate
-- Cumulative conversion rate - % of total users who landed on the respective page
FROM funnel_overall
;
-- -------------------------------------------------SEGMENTED FUNNEL ANALYTICS--------------------------------------------------------
-- -----------------------------------------------------1) MALE VS FEMALE--------------------------------------------------------------
WITH funnel AS (
SELECT
' HOME PAGE' AS page,
sex,
COUNT(*) AS users
FROM
user_table u
JOIN
home_page_table h ON h.user_id = u.user_id
GROUP BY page, sex
UNION ALL
SELECT
' SEARCH PAGE' AS page,
sex,
COUNT(*) AS users
FROM
user_table u
JOIN
search_page_table h ON h.user_id = u.user_id
GROUP BY page, sex
UNION ALL
SELECT
' PAYMENT PAGE' AS page,
sex,
COUNT(*) AS users
FROM
user_table u
JOIN
payment_page_table h ON h.user_id = u.user_id
GROUP BY sex, page
UNION ALL
SELECT
' PAYMENT CONFIRMATION PAGE' AS page,
sex,
COUNT(*) AS users
FROM
user_table u
JOIN
payment_confirmation_table h ON h.user_id = u.user_id
GROUP BY sex, page
), filtered_funnel AS (
SELECT page,
SUM(CASE WHEN sex = 'Male' THEN users ELSE 0 END) AS Male,
SUM(CASE WHEN sex = 'Female' THEN users ELSE 0 END) AS Female FROM funnel
GROUP BY page)
SELECT page,
CONCAT(Male, ' vs ', Female) AS Male_vs_Female,
CONCAT(CONCAT(ROUND((Male / LAG(Male, 1, Male) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND((Female / LAG(Female, 1, Female) OVER()) * 100, 2), '%')) AS Conversion_rate,
CONCAT(CONCAT(ROUND(100 - (Male / LAG(Male, 1, Male) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND(100 - (Female / LAG(Female, 1, Female) OVER()) * 100, 2), '%')) AS Drop_off_rate,
CONCAT(CONCAT(ROUND((Male / (SELECT MAX(Male) FROM filtered_funnel))*100, 2), '%'), ' vs ', CONCAT(ROUND((Female / (SELECT MAX(Female) FROM filtered_funnel))*100, 2), '%')) AS Cumulative_conversion_rate
FROM filtered_funnel
;
-- ------------------------------------------------------2) MOBILE VS DESKTOP-----------------------------------------------------------------------
WITH funnel AS (
SELECT
' HOME PAGE' AS page,
device,
COUNT(*) AS users
FROM
user_table u
JOIN
home_page_table h ON h.user_id = u.user_id
GROUP BY page, device
UNION ALL
SELECT
' SEARCH PAGE' AS page,
device,
COUNT(*) AS users
FROM
user_table u
JOIN
search_page_table h ON h.user_id = u.user_id
GROUP BY page, device
UNION ALL
SELECT
' PAYMENT PAGE' AS page,
device,
COUNT(*) AS users
FROM
user_table u
JOIN
payment_page_table h ON h.user_id = u.user_id
GROUP BY page, device
UNION ALL
SELECT
' PAYMENT CONFIRMATION PAGE' AS page,
device,
COUNT(*) AS users
FROM
user_table u
JOIN
payment_confirmation_table h ON h.user_id = u.user_id
GROUP BY page, device
), filtered_funnel AS (
SELECT page,
SUM(CASE WHEN device = 'Mobile' THEN users ELSE 0 END) AS Mobile,
SUM(CASE WHEN device = 'Desktop' THEN users ELSE 0 END) AS Desktop FROM funnel
GROUP BY page)
SELECT page,
CONCAT(Mobile, ' vs ', Desktop) AS Mobile_vs_Desktop,
CONCAT(CONCAT(ROUND((Mobile / LAG(Mobile, 1, Mobile) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND((Desktop / LAG(Desktop, 1, Desktop) OVER()) * 100, 2), '%')) AS Conversion_rate,
CONCAT(CONCAT(ROUND(100 - (Mobile / LAG(Mobile, 1, Mobile) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND(100 - (Desktop / LAG(Desktop, 1, Desktop) OVER()) * 100, 2), '%')) AS Drop_off_rate,
CONCAT(CONCAT(ROUND((Mobile / (SELECT MAX(Mobile) FROM filtered_funnel))*100, 2), '%'), ' vs ', CONCAT(ROUND((Desktop / (SELECT MAX(Desktop) FROM filtered_funnel))*100, 2), '%')) AS Cumulative_conversion_rate
FROM filtered_funnel
;
-- ---------------------------------------3) Mobile vs Desktop furthur segmented by Gender ------------------------------------------------------------------------
WITH funnel AS (
SELECT ' HOME PAGE' AS page, device, sex, COUNT(*) AS users FROM user_table u
JOIN home_page_table h ON h.user_id = u.user_id
GROUP BY page, device, sex
UNION ALL
SELECT ' SEARCH PAGE' AS page, device, sex, COUNT(*) AS users FROM user_table u
JOIN search_page_table h ON h.user_id = u.user_id
GROUP BY page, device, sex
UNION ALL
SELECT ' PAYMENT PAGE' AS page, device, sex, COUNT(*) AS users FROM user_table u
JOIN payment_page_table h ON h.user_id = u.user_id
GROUP BY page, device, sex
UNION ALL
SELECT ' PAYMENT CONFIRMATION PAGE' AS page, device, sex, COUNT(*) AS users FROM user_table u
JOIN payment_confirmation_table h ON h.user_id = u.user_id
GROUP BY page, device, sex
), filtered_funnel AS (
SELECT page, sex, SUM(CASE WHEN device = 'Mobile' THEN users END) AS Mobile, SUM(CASE WHEN device = 'Desktop' THEN users END) AS Desktop FROM funnel
GROUP BY page, sex
)
-- FEMALE
SELECT page, sex,
CONCAT(Mobile, ' vs ', Desktop) AS Mobile_vs_Desktop,
CONCAT(CONCAT(ROUND((Mobile / LAG(Mobile, 1, Mobile) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND((Desktop / LAG(Desktop, 1, Desktop) OVER()) * 100, 2), '%')) AS Conversion_rate,
CONCAT(CONCAT(ROUND(100 - (Mobile / LAG(Mobile, 1, Mobile) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND(100 - (Desktop / LAG(Desktop, 1, Desktop) OVER()) * 100, 2), '%')) AS Drop_off_rate,
CONCAT(CONCAT(ROUND((Mobile / (SELECT MAX(Mobile) FROM filtered_funnel))*100, 2), '%'), ' vs ', CONCAT(ROUND((Desktop / (SELECT MAX(Desktop) FROM filtered_funnel))*100, 2), '%')) AS Cumulative_conversion_rate
FROM filtered_funnel
WHERE sex = 'Female'
;
-- MALE
SELECT page, sex,
CONCAT(Mobile, ' vs ', Desktop) AS Mobile_vs_Desktop,
CONCAT(CONCAT(ROUND((Mobile / LAG(Mobile, 1, Mobile) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND((Desktop / LAG(Desktop, 1, Desktop) OVER()) * 100, 2), '%')) AS Conversion_rate,
CONCAT(CONCAT(ROUND(100 - (Mobile / LAG(Mobile, 1, Mobile) OVER()) * 100, 2), '%'), ' vs ', CONCAT(ROUND(100 - (Desktop / LAG(Desktop, 1, Desktop) OVER()) * 100, 2), '%')) AS Drop_off_rate,
CONCAT(CONCAT(ROUND((Mobile / (SELECT MAX(Mobile) FROM filtered_funnel))*100, 2), '%'), ' vs ', CONCAT(ROUND((Desktop / (SELECT MAX(Desktop) FROM filtered_funnel))*100, 2), '%')) AS Cumulative_conversion_rate
FROM filtered_funnel
WHERE sex = 'Male'
;
-- --------------------------------------------------MONTHLY FUNNEL ANALYSIS --------------------------------------------------------------------
WITH funnel_month AS (
SELECT 'HOME PAGE' AS page, SUM(CASE WHEN MONTH(date) = 1 THEN 1 END) AS Jan,
SUM(CASE WHEN MONTH(date) = 2 THEN 1 END) AS Feb,
SUM(CASE WHEN MONTH(date) = 3 THEN 1 END) AS Mar,
SUM(CASE WHEN MONTH(date) = 4 THEN 1 END) AS April
FROM user_table u
JOIN home_page_table h ON h.user_id = u.user_id
GROUP BY page
UNION ALL
SELECT 'SEARCH PAGE' AS page, SUM(CASE WHEN MONTH(date) = 1 THEN 1 END) AS Jan,
SUM(CASE WHEN MONTH(date) = 2 THEN 1 END) AS Feb,
SUM(CASE WHEN MONTH(date) = 3 THEN 1 END) AS Mar,
SUM(CASE WHEN MONTH(date) = 4 THEN 1 END) AS April
FROM user_table u
JOIN search_page_table h ON h.user_id = u.user_id
GROUP BY page
UNION ALL
SELECT 'PAYMENT PAGE' AS page, SUM(CASE WHEN MONTH(date) = 1 THEN 1 END) AS Jan,
SUM(CASE WHEN MONTH(date) = 2 THEN 1 END) AS Feb,
SUM(CASE WHEN MONTH(date) = 3 THEN 1 END) AS Mar,
SUM(CASE WHEN MONTH(date) = 4 THEN 1 END) AS April
FROM user_table u
JOIN payment_page_table h ON h.user_id = u.user_id
GROUP BY page
UNION ALL
SELECT 'PAYMENT CONFIRMATION PAGE' AS page, SUM(CASE WHEN MONTH(date) = 1 THEN 1 END) AS Jan,
SUM(CASE WHEN MONTH(date) = 2 THEN 1 END) AS Feb,
SUM(CASE WHEN MONTH(date) = 3 THEN 1 END) AS Mar,
SUM(CASE WHEN MONTH(date) = 4 THEN 1 END) AS April
FROM user_table u
JOIN payment_confirmation_table h ON h.user_id = u.user_id
GROUP BY page)
-- --------------------------------------------------January month funnel analysis--------------------------------------------------------------------
SELECT page, Jan, CONCAT(ROUND((Jan / LAG(Jan, 1, Jan) OVER())*100, 2), '%') AS Conversion_rate,
CONCAT(ROUND(100 - (Jan / LAG(Jan, 1, Jan) OVER())*100, 2), '%') AS Dropoff_rate,
CONCAT(ROUND((Jan / (SELECT MAX(Jan) FROM funnel_month))*100, 2), '%') AS Cumulative_Conversion_rate
FROM funnel_month
;
-- --------------------------------------------------February month funnel analysis--------------------------------------------------------------------
SELECT page, Feb, CONCAT(ROUND((Feb / LAG(Feb, 1, Feb) OVER())*100, 2), '%') AS Conversion_rate,
CONCAT(ROUND(100 - (Feb / LAG(Feb, 1, Feb) OVER())*100, 2), '%') AS Dropoff_rate,
CONCAT(ROUND((Feb / (SELECT MAX(Feb) FROM funnel_month))*100, 2), '%') AS Cumulative_Conversion_rate
FROM funnel_month
;
-- --------------------------------------------------March month funnel analysis--------------------------------------------------------------------
SELECT page, Mar, CONCAT(ROUND((Mar / LAG(Mar, 1, Mar) OVER())*100, 2), '%') AS Conversion_rate,
CONCAT(ROUND(100 - (Mar / LAG(Mar, 1, Mar) OVER())*100, 2), '%') AS Dropoff_rate,
CONCAT(ROUND((Mar / (SELECT MAX(Mar) FROM funnel_month))*100, 2), '%') AS Cumulative_Conversion_rate
FROM funnel_month
;
-- --------------------------------------------------April month funnel analysis--------------------------------------------------------------------
SELECT page, April, CONCAT(ROUND((April / LAG(April, 1, April) OVER())*100, 2), '%') AS Conversion_rate,
CONCAT(ROUND(100 - (April / LAG(April, 1, April) OVER())*100, 2), '%') AS Dropoff_rate,
CONCAT(ROUND((April / (SELECT MAX(April) FROM funnel_month))*100, 2), '%') AS Cumulative_Conversion_rate
FROM funnel_month
;