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replaced new fct orders table

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CIEF ACC1
2023-08-23 08:14:09 +00:00
parent 3824bbe56d
commit 9b3cdc7140
1 changed files with 205 additions and 210 deletions
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models/marts/reporting/rep_exchange__rfm.sql
+205 -210
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@@ -1,4 +1,4 @@
-- AVAILALE FILTER VALUE
-- AVAILABLE FILTER VALUE
{% set custom_one_year_from_date = modules.datetime.datetime.now(modules.pytz.timezone("Asia/Kuala_Lumpur")).date() - modules.datetime.timedelta(365) %}
{% set custom_one_year_to_date = modules.datetime.datetime.now(modules.pytz.timezone("Asia/Kuala_Lumpur")).date() %}
@@ -12,244 +12,240 @@
-- IMPORT
WITH transaction_orders AS (
SELECT * FROM {{ ref('fct_exchange__transaction_orders') }}
SELECT * FROM {{ ref('fct_exchange__daily_orders') }}
),
companies AS (
SELECT * FROM {{ ref('dim_exchange__companies') }}
SELECT * FROM {{ ref('dim_exchange__companies') }}
),
-- LOGIC
transaction_order_one_years AS (
SELECT
company_id,
MAX(transaction_orders.order_created_datetime) AS last_approved_or_completed_order_created_datetime_one_year,
DATEDIFF(day, last_approved_or_completed_order_created_datetime_one_year, CURRENT_DATE() ) AS day_after_approved_or_completed_order_one_year,
COUNT(transaction_orders.transaction_order_id) AS number_of_approved_or_completed_order_one_year,
ROUND(SUM(transaction_orders.value_rm + transaction_orders.tax_rm + transaction_orders.service_charge_rm),2) AS total_value_of_approved_or_completed_order_one_year
FROM
transaction_orders
WHERE
order_status IN ('APPROVED','COMPLETED')
AND
order_created_datetime >= '{{ custom_one_year_from_date }}'
AND
order_created_datetime < '{{ custom_one_year_to_date }}'
GROUP BY
company_id
SELECT
company_id,
MAX(transaction_orders.order_created_datetime) AS last_approved_or_completed_order_created_datetime_one_year,
DATEDIFF(day, last_approved_or_completed_order_created_datetime_one_year, CURRENT_DATE() ) AS day_after_approved_or_completed_order_one_year,
COUNT(transaction_orders.order_id) AS number_of_approved_or_completed_order_one_year,
ROUND(SUM(transaction_orders.order_value_rm + transaction_orders.order_tax_rm + transaction_orders.order_service_charge_rm),2) AS total_value_of_approved_or_completed_order_one_year
FROM
transaction_orders
WHERE
order_status IN ('APPROVED','COMPLETED')
AND
order_created_datetime >= '{{ custom_one_year_from_date }}'
AND
order_created_datetime < '{{ custom_one_year_to_date }}'
GROUP BY
company_id
),
company_rfm AS (
SELECT
transaction_orders.company_id,
companies.company_marking_id AS company_marking_id,
MAX(transaction_orders.order_created_datetime) AS last_approved_or_completed_order_created_datetime,
SELECT
transaction_orders.company_id,
companies.company_marking_id AS company_marking_id,
MAX(transaction_orders.order_created_datetime) AS last_approved_or_completed_order_created_datetime,
DATEDIFF(day, last_approved_or_completed_order_created_datetime, CURRENT_DATE() ) AS day_after_approved_or_completed_order_lifetime,
MAX(transaction_order_one_years.day_after_approved_or_completed_order_one_year) AS day_after_approved_or_completed_order_one_year,
DATEDIFF(day, last_approved_or_completed_order_created_datetime, CURRENT_DATE() ) AS day_after_approved_or_completed_order_lifetime,
MAX(transaction_order_one_years.day_after_approved_or_completed_order_one_year) AS day_after_approved_or_completed_order_one_year,
COUNT(transaction_orders.transaction_order_id) AS number_of_approved_or_completed_order_lifetime,
MAX(transaction_order_one_years.number_of_approved_or_completed_order_one_year) AS number_of_approved_or_completed_order_one_year,
COUNT(transaction_orders.order_id) AS number_of_approved_or_completed_order_lifetime,
MAX(transaction_order_one_years.number_of_approved_or_completed_order_one_year) AS number_of_approved_or_completed_order_one_year,
ROUND(SUM(transaction_orders.value_rm + transaction_orders.tax_rm + transaction_orders.service_charge_rm),2) AS total_value_of_approved_or_completed_order_lifetime,
MAX(transaction_order_one_years.total_value_of_approved_or_completed_order_one_year) AS total_value_of_approved_or_completed_order_one_year
FROM transaction_orders
LEFT JOIN transaction_order_one_years
ON (transaction_orders.company_id = transaction_order_one_years.company_id)
LEFT JOIN companies
ON (transaction_orders.company_id = companies.company_id)
WHERE
transaction_orders.order_status IN ('APPROVED','COMPLETED')
ROUND(SUM(transaction_orders.order_value_rm + transaction_orders.order_tax_rm + transaction_orders.order_service_charge_rm),2) AS total_value_of_approved_or_completed_order_lifetime,
MAX(transaction_order_one_years.total_value_of_approved_or_completed_order_one_year) AS total_value_of_approved_or_completed_order_one_year
GROUP BY
transaction_orders.company_id,
companies.company_marking_id
FROM transaction_orders
LEFT JOIN transaction_order_one_years
ON (transaction_orders.company_id = transaction_order_one_years.company_id)
LEFT JOIN companies
ON (transaction_orders.company_id = companies.company_id)
WHERE
transaction_orders.order_status IN ('APPROVED','COMPLETED')
GROUP BY
transaction_orders.company_id,
companies.company_marking_id
),
calculate_rfm AS (
SELECT
*,
CASE
WHEN day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[0]}} THEN 5
WHEN (day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[0]}} AND day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[1]}}) THEN 4
WHEN (day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[1]}} AND day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[2]}}) THEN 3
WHEN (day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[2]}} AND day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[3]}}) THEN 2
WHEN day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[3]}} THEN 1
ELSE -999
END AS r_score_lifetime,
CASE
WHEN number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[0]}} THEN 1
WHEN (number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[0]}} AND number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[1]}}) THEN 2
WHEN (number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[1]}} AND number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[2]}}) THEN 3
WHEN (number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[2]}} AND number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[3]}}) THEN 4
WHEN number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[3]}} THEN 5
ELSE -999
END AS f_score_lifetime,
CASE
WHEN total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[0]}} THEN 1
WHEN (total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[0]}} AND total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[1]}}) THEN 2
WHEN (total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[1]}} AND total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[2]}}) THEN 3
WHEN (total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[2]}} AND total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[3]}}) THEN 4
WHEN total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[3]}} THEN 5
ELSE -999
END AS m_score_lifetime,
CASE
WHEN (r_score_lifetime = 5) AND (f_score_lifetime = 5) AND (m_score_lifetime = 5)
THEN '1_King'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime = 1) AND (m_score_lifetime = 1)
THEN '10_At Cheap Risk'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime = 1) AND (m_score_lifetime = 1)
THEN '13_Cheap Lost'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 1 AND 2) AND (m_score_lifetime BETWEEN 4 AND 5)
THEN '4_Whale'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 4 AND 5) AND (m_score_lifetime BETWEEN 1 AND 2)
THEN '3_Sardine'
SELECT
*,
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 3 AND 5) AND (m_score_lifetime BETWEEN 3 AND 5)
THEN '2_Loyal Customer'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 2 AND 5) AND (m_score_lifetime BETWEEN 2 AND 5)
THEN '5_Potention Loyal'
CASE
WHEN day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[0]}} THEN 5
WHEN (day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[0]}} AND day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[1]}}) THEN 4
WHEN (day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[1]}} AND day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[2]}}) THEN 3
WHEN (day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[2]}} AND day_after_approved_or_completed_order_lifetime <= {{recency_list_lifetime[3]}}) THEN 2
WHEN day_after_approved_or_completed_order_lifetime > {{recency_list_lifetime[3]}} THEN 1
ELSE -999
END AS r_score_lifetime,
CASE
WHEN number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[0]}} THEN 1
WHEN (number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[0]}} AND number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[1]}}) THEN 2
WHEN (number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[1]}} AND number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[2]}}) THEN 3
WHEN (number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[2]}} AND number_of_approved_or_completed_order_lifetime <= {{frequency_list_lifetime[3]}}) THEN 4
WHEN number_of_approved_or_completed_order_lifetime > {{frequency_list_lifetime[3]}} THEN 5
ELSE -999
END AS f_score_lifetime,
CASE
WHEN total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[0]}} THEN 1
WHEN (total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[0]}} AND total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[1]}}) THEN 2
WHEN (total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[1]}} AND total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[2]}}) THEN 3
WHEN (total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[2]}} AND total_value_of_approved_or_completed_order_lifetime <= {{monetary_list_lifetime[3]}}) THEN 4
WHEN total_value_of_approved_or_completed_order_lifetime > {{monetary_list_lifetime[3]}} THEN 5
ELSE -999
END AS m_score_lifetime,
WHEN (r_score_lifetime = 5) AND (f_score_lifetime = 1) AND (m_score_lifetime BETWEEN 1 AND 2)
THEN '7_New Customer'
CASE
WHEN (r_score_lifetime = 5) AND (f_score_lifetime = 5) AND (m_score_lifetime = 5)
THEN '1_King'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime BETWEEN 4 AND 5) AND (m_score_lifetime BETWEEN 4 AND 5)
THEN '8_At High Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime = 1) AND (m_score_lifetime = 1)
THEN '10_At Cheap Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime BETWEEN 1 AND 5) AND (m_score_lifetime BETWEEN 1 AND 5)
THEN '9_At Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime = 1) AND (m_score_lifetime BETWEEN 1 AND 2)
THEN '9_At Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime BETWEEN 1 AND 2) AND (m_score_lifetime = 1)
THEN '9_At Risk'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime = 1) AND (m_score_lifetime = 1)
THEN '13_Cheap Lost'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 4 AND 5) AND (m_score_lifetime BETWEEN 1 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 1 AND 5) AND (m_score_lifetime BETWEEN 4 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 3 AND 5) AND (m_score_lifetime BETWEEN 3 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 1 AND 3) AND (m_score_lifetime BETWEEN 1 AND 3)
THEN '12_Lost'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime = 1) AND (m_score_lifetime BETWEEN 1 AND 3)
THEN '6_Normal Customer'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 1 AND 3) AND (m_score_lifetime = 1)
THEN '6_Normal Customer'
ELSE 'ERROR Please Contact DATA Team'
END AS segment_lifetime,
CASE
WHEN day_after_approved_or_completed_order_one_year IS NULL THEN NULL
WHEN day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[0]}} THEN 5
WHEN (day_after_approved_or_completed_order_one_year > {{recency_list_one_year[0]}} AND day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[1]}}) THEN 4
WHEN (day_after_approved_or_completed_order_one_year > {{recency_list_one_year[1]}} AND day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[2]}}) THEN 3
WHEN (day_after_approved_or_completed_order_one_year > {{recency_list_one_year[2]}} AND day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[3]}}) THEN 2
WHEN day_after_approved_or_completed_order_one_year > {{recency_list_one_year[3]}} THEN 1
ELSE -999
END AS r_score_one_year,
CASE
WHEN number_of_approved_or_completed_order_one_year IS NULL THEN NULL
WHEN number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[0]}} THEN 1
WHEN (number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[0]}} AND number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[1]}}) THEN 2
WHEN (number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[1]}} AND number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[2]}}) THEN 3
WHEN (number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[2]}} AND number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[3]}}) THEN 4
WHEN number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[3]}} THEN 5
ELSE -999
END AS f_score_one_year,
CASE
WHEN total_value_of_approved_or_completed_order_one_year IS NULL THEN NULL
WHEN total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[0]}} THEN 1
WHEN (total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[0]}} AND total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[1]}}) THEN 2
WHEN (total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[1]}} AND total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[2]}}) THEN 3
WHEN (total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[2]}} AND total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[3]}}) THEN 4
WHEN total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[3]}} THEN 5
ELSE -999
END AS m_score_one_year,
CASE
WHEN (r_score_one_year IS NULL) AND (f_score_one_year IS NULL) AND (m_score_one_year IS NULL)
THEN '14_Not Active Between 1 year'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 1 AND 2) AND (m_score_lifetime BETWEEN 4 AND 5)
THEN '4_Whale'
WHEN (r_score_one_year = 5) AND (f_score_one_year = 5) AND (m_score_one_year = 5)
THEN '1_King'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year = 1) AND (m_score_one_year = 1)
THEN '10_At Cheap Risk'
WHEN (r_score_one_year = 1) AND (f_score_one_year = 1) AND (m_score_one_year = 1)
THEN '13_Cheap Lost'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 1 AND 2) AND (m_score_one_year BETWEEN 4 AND 5)
THEN '4_Whale'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 4 AND 5) AND (m_score_one_year BETWEEN 1 AND 2)
THEN '3_Sardine'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 4 AND 5) AND (m_score_lifetime BETWEEN 1 AND 2)
THEN '3_Sardine'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 3 AND 5) AND (m_score_one_year BETWEEN 3 AND 5)
THEN '2_Loyal Customer'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 2 AND 5) AND (m_score_one_year BETWEEN 2 AND 5)
THEN '5_Potention Loyal'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 3 AND 5) AND (m_score_lifetime BETWEEN 3 AND 5)
THEN '2_Loyal Customer'
WHEN (r_score_one_year = 5) AND (f_score_one_year = 1) AND (m_score_one_year BETWEEN 1 AND 2)
THEN '7_New Customer'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 2 AND 5) AND (m_score_lifetime BETWEEN 2 AND 5)
THEN '5_Potention Loyal'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year BETWEEN 4 AND 5) AND (m_score_one_year BETWEEN 4 AND 5)
THEN '8_At High Risk'
WHEN (r_score_lifetime = 5) AND (f_score_lifetime = 1) AND (m_score_lifetime BETWEEN 1 AND 2)
THEN '7_New Customer'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year BETWEEN 1 AND 5) AND (m_score_one_year BETWEEN 1 AND 5)
THEN '9_At Risk'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year = 1) AND (m_score_one_year BETWEEN 1 AND 2)
THEN '9_At Risk'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year BETWEEN 1 AND 2) AND (m_score_one_year = 1)
THEN '9_At Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime BETWEEN 4 AND 5) AND (m_score_lifetime BETWEEN 4 AND 5)
THEN '8_At High Risk'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 4 AND 5) AND (m_score_one_year BETWEEN 1 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 1 AND 5) AND (m_score_one_year BETWEEN 4 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 3 AND 5) AND (m_score_one_year BETWEEN 3 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 1 AND 3) AND (m_score_one_year BETWEEN 1 AND 3)
THEN '12_Lost'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year = 1) AND (m_score_one_year BETWEEN 1 AND 3)
THEN '6_Normal Customer'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 1 AND 3) AND (m_score_one_year = 1)
THEN '6_Normal Customer'
ELSE 'ERROR Please Contact DATA Team'
END AS segment_one_year,
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime BETWEEN 1 AND 5) AND (m_score_lifetime BETWEEN 1 AND 5)
THEN '9_At Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime = 1) AND (m_score_lifetime BETWEEN 1 AND 2)
THEN '9_At Risk'
WHEN (r_score_lifetime BETWEEN 2 AND 3) AND (f_score_lifetime BETWEEN 1 AND 2) AND (m_score_lifetime = 1)
THEN '9_At Risk'
'{{ modules.datetime.datetime.now(modules.pytz.timezone("Asia/Kuala_Lumpur")) }}' AS _dbt_ran_datetime
FROM
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 4 AND 5) AND (m_score_lifetime BETWEEN 1 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 1 AND 5) AND (m_score_lifetime BETWEEN 4 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 3 AND 5) AND (m_score_lifetime BETWEEN 3 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_lifetime = 1) AND (f_score_lifetime BETWEEN 1 AND 3) AND (m_score_lifetime BETWEEN 1 AND 3)
THEN '12_Lost'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime = 1) AND (m_score_lifetime BETWEEN 1 AND 3)
THEN '6_Normal Customer'
WHEN (r_score_lifetime BETWEEN 4 AND 5) AND (f_score_lifetime BETWEEN 1 AND 3) AND (m_score_lifetime = 1)
THEN '6_Normal Customer'
ELSE 'ERROR Please Contact DATA Team'
END AS segment_lifetime,
CASE
WHEN day_after_approved_or_completed_order_one_year IS NULL THEN NULL
WHEN day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[0]}} THEN 5
WHEN (day_after_approved_or_completed_order_one_year > {{recency_list_one_year[0]}} AND day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[1]}}) THEN 4
WHEN (day_after_approved_or_completed_order_one_year > {{recency_list_one_year[1]}} AND day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[2]}}) THEN 3
WHEN (day_after_approved_or_completed_order_one_year > {{recency_list_one_year[2]}} AND day_after_approved_or_completed_order_one_year <= {{recency_list_one_year[3]}}) THEN 2
WHEN day_after_approved_or_completed_order_one_year > {{recency_list_one_year[3]}} THEN 1
ELSE -999
END AS r_score_one_year,
CASE
WHEN number_of_approved_or_completed_order_one_year IS NULL THEN NULL
WHEN number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[0]}} THEN 1
WHEN (number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[0]}} AND number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[1]}}) THEN 2
WHEN (number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[1]}} AND number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[2]}}) THEN 3
WHEN (number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[2]}} AND number_of_approved_or_completed_order_one_year <= {{frequency_list_one_year[3]}}) THEN 4
WHEN number_of_approved_or_completed_order_one_year > {{frequency_list_one_year[3]}} THEN 5
ELSE -999
END AS f_score_one_year,
CASE
WHEN total_value_of_approved_or_completed_order_one_year IS NULL THEN NULL
WHEN total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[0]}} THEN 1
WHEN (total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[0]}} AND total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[1]}}) THEN 2
WHEN (total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[1]}} AND total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[2]}}) THEN 3
WHEN (total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[2]}} AND total_value_of_approved_or_completed_order_one_year <= {{monetary_list_one_year[3]}}) THEN 4
WHEN total_value_of_approved_or_completed_order_one_year > {{monetary_list_one_year[3]}} THEN 5
ELSE -999
END AS m_score_one_year,
CASE
WHEN (r_score_one_year IS NULL) AND (f_score_one_year IS NULL) AND (m_score_one_year IS NULL)
THEN '14_Not Active Between 1 year'
WHEN (r_score_one_year = 5) AND (f_score_one_year = 5) AND (m_score_one_year = 5)
THEN '1_King'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year = 1) AND (m_score_one_year = 1)
THEN '10_At Cheap Risk'
WHEN (r_score_one_year = 1) AND (f_score_one_year = 1) AND (m_score_one_year = 1)
THEN '13_Cheap Lost'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 1 AND 2) AND (m_score_one_year BETWEEN 4 AND 5)
THEN '4_Whale'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 4 AND 5) AND (m_score_one_year BETWEEN 1 AND 2)
THEN '3_Sardine'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 3 AND 5) AND (m_score_one_year BETWEEN 3 AND 5)
THEN '2_Loyal Customer'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 2 AND 5) AND (m_score_one_year BETWEEN 2 AND 5)
THEN '5_Potention Loyal'
WHEN (r_score_one_year = 5) AND (f_score_one_year = 1) AND (m_score_one_year BETWEEN 1 AND 2)
THEN '7_New Customer'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year BETWEEN 4 AND 5) AND (m_score_one_year BETWEEN 4 AND 5)
THEN '8_At High Risk'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year BETWEEN 1 AND 5) AND (m_score_one_year BETWEEN 1 AND 5)
THEN '9_At Risk'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year = 1) AND (m_score_one_year BETWEEN 1 AND 2)
THEN '9_At Risk'
WHEN (r_score_one_year BETWEEN 2 AND 3) AND (f_score_one_year BETWEEN 1 AND 2) AND (m_score_one_year = 1)
THEN '9_At Risk'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 4 AND 5) AND (m_score_one_year BETWEEN 1 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 1 AND 5) AND (m_score_one_year BETWEEN 4 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 3 AND 5) AND (m_score_one_year BETWEEN 3 AND 5)
THEN '11_Cant Lose Them'
WHEN (r_score_one_year = 1) AND (f_score_one_year BETWEEN 1 AND 3) AND (m_score_one_year BETWEEN 1 AND 3)
THEN '12_Lost'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year = 1) AND (m_score_one_year BETWEEN 1 AND 3)
THEN '6_Normal Customer'
WHEN (r_score_one_year BETWEEN 4 AND 5) AND (f_score_one_year BETWEEN 1 AND 3) AND (m_score_one_year = 1)
THEN '6_Normal Customer'
ELSE 'ERROR Please Contact DATA Team'
END AS segment_one_year,
'{{ modules.datetime.datetime.now(modules.pytz.timezone("Asia/Kuala_Lumpur")) }}' AS _dbt_ran_datetime
FROM
company_rfm
),
-- FINAL
@@ -285,6 +281,5 @@ final__rep_exchange__rfm AS (
FROM calculate_rfm
)
SELECT * FROM final__rep_exchange__rfm
SELECT * FROM final__rep_exchange__rfm