dbt_cloud/models/marts/reporting/rep_exchange__rfm.sql

-- 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() %}

{% set recency_list_lifetime = [60,120,180,240] %}
{% set frequency_list_lifetime = [1,3,9,27] %}
{% set monetary_list_lifetime = [2000,7000,25000,82000] %}

{% set recency_list_one_year = [60,120,180,240] %}
{% set frequency_list_one_year = [1,2,6,21] %}
{% set monetary_list_one_year = [2000,7000,25000,77000] %}

-- IMPORT
WITH transaction_orders AS (
    SELECT * FROM {{ ref('fct_exchange__transaction_orders') }} 
),

companies AS (
    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.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,

        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.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.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

    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' 

            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'

            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_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 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 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
final__rep_exchange__rfm AS (
    SELECT
        -- ids
        company_id,
        company_marking_id,

        -- dimensions
        segment_lifetime,
        segment_one_year,

        -- measures
        day_after_approved_or_completed_order_lifetime,
        number_of_approved_or_completed_order_lifetime,
        total_value_of_approved_or_completed_order_lifetime,
        r_score_lifetime,
        f_score_lifetime,
        m_score_lifetime,
        day_after_approved_or_completed_order_one_year,
        number_of_approved_or_completed_order_one_year,
        total_value_of_approved_or_completed_order_one_year,
        r_score_one_year,
        f_score_one_year,
        m_score_one_year,

        -- date/times
        last_approved_or_completed_order_created_datetime,

        -- metadata
        _dbt_ran_datetime

    FROM calculate_rfm
)

SELECT * FROM final__rep_exchange__rfm