SQL - Trying to find customer by their shopping channel - sql

Question

Hello I am trying to find the customers who just shop online and just shop in store and the customers who shop both online and in store. So when I add them up they should be equal to my total customers.
I am trying to find the new and returning customer by their shopping channel. I need a sql to give me all the new customer and returning customers who have shopped in store, and then in a separate table all the new/returning customers who have shopped only online and then people who have shopped both online and in store (crossover customers). So that when I add off them together they should be equal to my total customers in each category (new and returning).
It should look like below:
how data should look like
I have created a sample database as well. I am also trying to break the customer by new and returning customers and later by their age range.
https://dbfiddle.uk/?rdbms=oracle_11.2&fiddle=96a7b85c8ca0da7f7c40f20205964d9b
these are some of the queries which I have tried: Below is the one which shows me the new and the returning customers who have only bough online:
SELECT
DECODE(is_new, 1, 'New Customers', 'Returning Customers') type_of_customer,
COUNT(distinct individual_id) count_of_customers,
SUM(count_of_transactions) count_of_transactions,
SUM(sum_of_quantity) sum_of_quantity
FROM (
SELECT
individual_id,
SUM(dollar_value_us),
sum(quantity) sum_of_quantity,
count(distinct transaction_number) count_of_transactions,
CASE WHEN MIN(txn_date) = min_txn_date THEN 1 ELSE 0 END is_new
FROM (
SELECT
a.individual_id,
a.dollar_value_us,
a.txn_date,
a.quantity,
a.transaction_number,
b.gender,
b.age,
MIN(a.txn_date) OVER(PARTITION BY a.individual_id) min_txn_date,
A.TRANTYPE
FROM transaction_detail_mv a
join gender_details b on a.individual_id = b.individual_id
WHERE
a.brand_org_code = 'BRAND'
AND a.is_merch = 1
AND a.currency_code = 'USD'
AND a.line_item_amt_type_cd = 'S'
AND a.individual_id not in (select individual_id from transaction_detail_mv where trantype = 'POS' )
)
WHERE
txn_date >= TO_DATE('10-02-2019', 'DD-MM-YYYY')
AND txn_date < TO_DATE('17-02-2019', 'DD-MM-YYYY')
GROUP BY
individual_id,
min_txn_date
)
GROUP BY is_new
and to find the new and returnign customers who buy form POS is bewow:
SELECT
DECODE(is_new, 1, 'New Customers', 'Returning Customers') type_of_customer,
COUNT(distinct individual_id) count_of_customers,
SUM(count_of_transactions) count_of_transactions,
SUM(sum_of_quantity) sum_of_quantity
FROM (
SELECT
individual_id,
SUM(dollar_value_us),
sum(quantity) sum_of_quantity,
count(distinct transaction_number) count_of_transactions,
CASE WHEN MIN(txn_date) = min_txn_date THEN 1 ELSE 0 END is_new
FROM (
SELECT
a.individual_id,
a.dollar_value_us,
a.txn_date,
a.quantity,
a.transaction_number,
b.gender,
b.age,
MIN(a.txn_date) OVER(PARTITION BY a.individual_id) min_txn_date,
A.TRANTYPE
FROM transaction_detail_mv a
join gender_details b on a.individual_id = b.individual_id
WHERE
a.brand_org_code = 'BRAND'
AND a.is_merch = 1
AND a.currency_code = 'USD'
AND a.line_item_amt_type_cd = 'S'
AND a.individual_id not in (select individual_id from transaction_detail_mv where trantype = 'ONLINE' )
)
WHERE
txn_date >= TO_DATE('10-02-2019', 'DD-MM-YYYY')
AND txn_date < TO_DATE('17-02-2019', 'DD-MM-YYYY')
GROUP BY
individual_id,
min_txn_date
)
GROUP BY is_new
I am trying to find new and old customers who have shopped both online and in POS. Please HELP !

Answer 1

You are almost there. Try this:
SELECT
DECODE(is_new, 1, 'New Customers', 'Returning Customers') type_of_customer,
COUNT(distinct individual_id) count_of_customers,
SUM(count_of_transactions) count_of_transactions,
SUM(sum_of_quantity) sum_of_quantity
FROM (
SELECT
individual_id,
SUM(dollar_value_us),
sum(quantity) sum_of_quantity,
count(distinct transaction_number) count_of_transactions,
CASE WHEN MIN(txn_date) = min_txn_date THEN 1 ELSE 0 END is_new
FROM (
SELECT
a.individual_id,
a.dollar_value_us,
a.txn_date,
a.quantity,
a.transaction_number,
b.gender,
b.age,
MIN(a.txn_date) OVER(PARTITION BY a.individual_id) min_txn_date,
A.TRANTYPE
FROM transaction_detail_mv a
join gender_details b on a.individual_id = b.individual_id
WHERE
a.brand_org_code = 'BRAND'
AND a.is_merch = 1
AND a.currency_code = 'USD'
AND a.line_item_amt_type_cd = 'S'
AND a.individual_id not in (select individual_id from transaction_detail_mv where ((trantype = 'ONLINE') OR (trantype = 'POS') )
)
WHERE
txn_date >= TO_DATE('10-02-2019', 'DD-MM-YYYY')
AND txn_date < TO_DATE('17-02-2019', 'DD-MM-YYYY')
GROUP BY
individual_id,
min_txn_date
)
GROUP BY is_new