Page Comparison

SELECT 
PARTITION_DATE_KEY,
SUM(ITEMTOTALPRICE)AS SALES,

FROM PRODRT.CURATED_TRANS_EVENTS_NEW

WHERE PARTITION_DATE_KEY BETWEEN 'START_DATE' AND 'END_DATE'
AND COUNTRY_NM = 'CANADA'
AND IS_PASS_THROUGH = 0 
AND LEFT(REGISTEREDACCOUNTID,7) = 'us-east'
AND DININGTYPE = 'CT'

GROUP BY 1

WITH RESTAURANTS AS (

SELECT 

TH_FISCAL_YEAR,
TH_FISCAL_WEEK,
PARTITION_DATE_KEY,
COUNT(DISTINCT REST_NO) AS RESTAURANTS

FROM STG.DERIVED_MASTER_TABLE_NEW

WHERE PARTITION_DATE_KEY BETWEEN 'START_DATE' AND 'END_DATE'
AND IS_PASS_THROUGH = 0
AND COUNTRY_NM = 'CANADA' 

GROUP BY 1,2,3
ORDER BY 1)

SELECT 
TH_FISCAL_YEAR,
TH_FISCAL_WEEK,
SUM(RESTAURANTS) AS RRAMI

FROM RESTAURANTS

GROUP BY 1,2

SELECT 
STOREDATE,
COUNT(DISTINCT TRANSACTIONID) AS TICKETS,
SUM(ITEMTOTALPRICE) AS SALES 

FROM PRODRT.CURATED_TRANS_EVENTS_NEW

WHERE STOREDATE BETWEEN 'START_DATE' AND 'END_DATE'
AND IS_PASS_THROUGH = 0
AND COUNTRY_NM IN ('CANADA')
AND LEFT(REGISTEREDACCOUNTID,7) = 'us-east'
AND SCANANDPAY IS TRUE

GROUP BY 1

WITH TRANSACTIONS_WITH_OFFER_ID AS (

SELECT 
LEFT(PERIOD_DT, 10) AS PERIOD_DT,
REGISTEREDACCOUNTID,
TRANSACTIONID, 
EXPLODE(APPLIEDOFFERS) AS EXPLODED_OFFERS

FROM PRODRT.CURATED_TRANS_EVENTS_NEW

WHERE DATE_KEY >= '20230606'
AND COALESCE(REGISTEREDACCOUNTID,'') IS NOT NULL
AND APPLIEDOFFERS IS NOT NULL
AND COUNTRY_NM = 'CANADA')

SELECT 
PERIOD_DT,
COUNT(DISTINCT TRANSACTIONID) AS TRXNS

FROM TRANSACTIONS_WITH_OFFER_ID AS A

INNER JOIN (SELECT DISTINCT OFFERID FROM DYDB.WEEKLYOFFERS
             
            UNION ALL
            
            SELECT DISTINCT OFFERID
            FROM DYDB.OFFERS
            WHERE CONTAINS(description, 'LOYALTY')
            AND DESCRIPTION LIKE 'CA L%'
            AND DESCRIPTION NOT IN ('CA LR Registered Default (same as L1)-LOYALTY', 'CA LU Unregistered (same as 102) ONE-TIME-LOYALTY') ) B
            
ON A.EXPLODED_OFFERS = B.OFFERID 

LEFT JOIN DYDB.OFFERS AS C 
ON A.EXPLODED_OFFERS=C.OFFERID

WHERE EXPLODED_OFFERS IS NOT NULL 
AND C.OFFERID IS NOT NULL

GROUP BY 1

WITH EVENTS AS (
SELECT DATE
       , _TIMHORTONS.INTERACTION.ELEMENT.NAME
       , _TIMHORTONS.LOYALTY.ID AS GUEST_ID
FROM   loyalty.events.adobe_app_events
WHERE  EVENTTYPE IN ('app_open','app_launch')    
AND    _TIMHORTONS.PLATFORM IN ('app') 
AND    LEFT(_TIMHORTONS.LOYALTY.ID,7) = 'us-east'
AND    _TIMHORTONS.LOYALTY.ID IN (SELECT DISTINCT registeredAccountId FROM loyalty.users.customer_base WHERE LEFT(loyaltyCustomerId,4) IN ('0463','0473'))
AND    DATE <= CURRENT_DATE )

SELECT     LAST_DAY(EVENTS.DATE) AS DTE
          , COUNT(DISTINCT EVENTS.GUEST_ID) AS ACTIVE_USER
FROM      EVENTS  
GROUP BY  1
ORDER BY  1 DESC

WITH REDEMPTION_SUMMARY AS (
  WITH OFFER_REDEMPTION_TRXNS AS (
    WITH TRANSACTIONS_WITH_OFFER_ID AS (
      SELECT
        TH_FISCAL_YEAR,
        TH_FISCAL_WEEK,
        CAST(WEEK_START_DT AS DATE) AS WEEK_START_DT,
        DATE_FORMAT(
          CAST(
            UNIX_TIMESTAMP(LEFT(WEEK_START_DT, 10), 'yyyy-MM-dd') AS TIMESTAMP
          ),
          'yyyyMMdd'
        ) AS WEEK_START,
        CAST(PERIOD_DT AS DATE) AS PERIOD_DT,
        REGISTEREDACCOUNTID,
        TRANSACTIONID,
        EXPLODE(APPLIEDOFFERS) AS EXPLODED_OFFERS
      FROM
        PRODRT.CURATED_TRANS_EVENTS_NEW
      WHERE
        PARTITION_DATE_KEY BETWEEN 'START DATE' AND 'END DATE'
        AND REGISTEREDACCOUNTID LIKE 'us-east%'
        AND COUNTRY_NM = 'CANADA'
    )
    SELECT
      DISTINCT A.TH_FISCAL_YEAR,
      A.TH_FISCAL_WEEK,
      A.WEEK_START_DT,
      A.PERIOD_DT,
      A.REGISTEREDACCOUNTID,
      A.TRANSACTIONID,
      C.NAME,
      C.DESCRIPTION,
      A.EXPLODED_OFFERS,
      1 AS VOLUME
    FROM
      TRANSACTIONS_WITH_OFFER_ID A
      INNER JOIN DYDB.WEEKLYOFFERS B ON A.EXPLODED_OFFERS = B.OFFERID
      LEFT JOIN DYDB.OFFERS C ON A.EXPLODED_OFFERS = C.OFFERID
  )
  SELECT
    WEEK_START_DT,
    A.DESCRIPTION AS OFFER_DESCRIPTION,
    A.EXPLODED_OFFERS AS OFFERID,
    SUM(VOLUME) AS REDEMPTION_VOLUME
  FROM
    OFFER_REDEMPTION_TRXNS A
  GROUP BY
    1,
    2,
    3
)
SELECT
  a.WEEK_START_DT AS WKDT,
  OFFER_DESCRIPTION,
  OFFERID,
  SUM(REDEMPTION_VOLUME)
FROM
  REDEMPTION_SUMMARY A
  GROUP BY 1,2,3

with TRXN_OFFER_CHALLENGES_REDEMPTIONS as (
      WITH EXPLODED AS (
        SELECT
          TH_FISCAL_YEAR,
          TH_FISCAL_WEEK,
          DATE_FORMAT(
            CAST(
              UNIX_TIMESTAMP(LEFT(WEEK_START_DT, 10), 'yyyy-MM-dd') AS TIMESTAMP
            ),
            'yyyyMMdd'
          ) AS WEEK_START_MAPPING,
          CAST(PERIOD_DT AS DATE) AS PERIOD_DT,
          REGISTEREDACCOUNTID,
          loyaltyCustomerId,
          TRANSACTIONID,
          EXPLODE(APPLIEDOFFERS) AS EXPLODED_OFFERS,
          REST_TYP_NM,
          OPS_DIV_NM
        FROM
          PRODRT.CURATED_TRANS_EVENTS_NEW -- 1.	Challenge duration: 26/09 to 02/10
        WHERE
          DATE_KEY BETWEEN '${myapplication.Offer_Start_Date}'
          AND '${myapplication.Offer_End_Date}'
          AND COUNTRY_NM = 'CANADA'
          AND REGISTEREDACCOUNTID IS NOT NULL
          AND TRANSACTIONID IS NOT NULL -- AND REST_TYP_NM = "STANDARD"
      )
      SELECT
        DISTINCT A.TH_FISCAL_YEAR,
        A.TH_FISCAL_WEEK,
        A.WEEK_START_MAPPING,
        A.PERIOD_DT,
        A.REGISTEREDACCOUNTID,
        A.loyaltyCustomerId,
        A.TRANSACTIONID,
        A.REST_TYP_NM,
        A.OPS_DIV_NM,
        B.DESCRIPTION,
        1 AS REDEMPTIONS
      FROM
        EXPLODED AS A
        LEFT JOIN DYDB.OFFERS AS B ON A.EXPLODED_OFFERS = B.OFFERID
      WHERE
        EXPLODED_OFFERS = '76290e2e-1783-442f-8ff6-a2b16900a34e'
    ),
    points_issued as (
      Select
        *,
        WEEKOFYEAR(to_date(partition_date_key, "yyyyMMdd")) AS WEEK_START,
        regexp_extract(barcode, '(\\d+)|(\\d+)', 0) as lid
      From
        prodrt.curated_points_events as points
      where
        partition_date_key BETWEEN '${myapplication.Offer_Start_Date}'
        AND '${myapplication.Offer_End_Date}'
        and tag = 'PRODUCT_CHALLENGED_COMPLETED'
    ),
    completed as(
      Select
        a.TH_FISCAL_YEAR as TH_FISCAL_YEAR,
        a.TH_FISCAL_WEEK as TH_FISCAL_WEEK,
        a.WEEK_START_MAPPING as WEEK_START_MAPPING,
        a.PERIOD_DT as PERIOD_DT,
        DATE_FORMAT(
          CAST(
            UNIX_TIMESTAMP(LEFT(PERIOD_DT, 10), 'yyyy-MM-dd') AS TIMESTAMP
          ),
          'yyyyMMdd'
        ) as transaction_dt,
        a.REGISTEREDACCOUNTID as REGISTEREDACCOUNTID,
        a.loyaltyCustomerId as loyaltyCustomerId,
        a.TRANSACTIONID as TRANSACTIONID,
        a.REST_TYP_NM as REST_TYP_NM,
        a.OPS_DIV_NM as OPS_DIV_NM,
        a.DESCRIPTION as DESCRIPTION,
        a.REDEMPTIONS as REDEMPTIONS,
        b.transactionID as completion_transactionID,
        b.pointsEarned as pointsEarned,
        b.restaurant as restaurant,
        b.partition_date_key as offer_completion_dt,
        b.WEEK_START as offer_completion_week,
        b.lid as lid
      from
        TRXN_OFFER_CHALLENGES_REDEMPTIONS a
        left join points_issued b on a.loyaltyCustomerId = b.lid
        and b.WEEK_START = a.TH_FISCAL_WEEK
    )
    Select
      TH_FISCAL_YEAR,
      TH_FISCAL_WEEK,
      WEEK_START_MAPPING,
      REGISTEREDACCOUNTID,
      loyaltyCustomerId,
      offer_completion_week,
      count(
        distinct(
          case
            when offer_completion_dt is not NULL
            and transaction_dt <= offer_completion_dt then TRANSACTIONID
          end
        )
      ) as trnx_before_completion,
      count(distinct(TRANSACTIONID)) as total_trnx,
      count(
        distinct (
          case
            when lid is not Null then lid
          end
        )
      ) as completed
    from
      completed
    group by 1, 2, 3, 4, 5, 6

SELECT    YEAR(TIMESTAMP) AS YR
          , MONTH(TIMESTAMP) AS MTH 
          , COUNT(DISTINCT GUESTS) AS GUESTS FROM (
-- WORD CHALLENEGE PLAYERS

SELECT    DISTINCT TIMESTAMP, _TIMHORTONS.LOYALTY.ID AS GUESTS
FROM      loyalty.events.adobe_app_events 
WHERE     TRIM(_TIMHORTONS.INTERACTION.PATH) IN ('/timswordchallenge')
AND       TRIM(_TIMHORTONS.INTERACTION.ELEMENT.NAME) = 'play'
AND       _TIMHORTONS.PLATFORM IN ('app')
AND       LEFT(_TIMHORTONS.LOYALTY.ID,7) = 'us-east'
AND       _TIMHORTONS.LOYALTY.ID IN (SELECT DISTINCT registeredAccountId FROM loyalty.users.customer_base WHERE LEFT(loyaltyCustomerId,4) IN ('0463','0473'))
AND       DATE >= DATE '2023-11-01' 

UNION
-- HOCKEY PLAYERS

SELECT    DISTINCT TIMESTAMP,_TIMHORTONS.LOYALTY.ID  AS GUESTS
FROM      loyalty.events.adobe_app_events
WHERE     TRIM(_TIMHORTONS.INTERACTION.PATH) = '/hockey_challenge'
AND       TRIM(_TIMHORTONS.INTERACTION.ELEMENT.NAME) IN ('submit_picks')
AND       _TIMHORTONS.PLATFORM IN ('app')
AND       LEFT(_TIMHORTONS.LOYALTY.ID,7) = 'us-east'
AND       _TIMHORTONS.LOYALTY.ID IN (SELECT DISTINCT registeredAccountId FROM loyalty.users.customer_base WHERE LEFT(loyaltyCustomerId,4) IN ('0463','0473'))
AND       DATE >= DATE '2023-11-01' 
)
GROUP BY 1,2
ORDER BY 1 DESC, 2

WITH LOYALTY_TENDERS AS
(
    WITH TENDERS AS
    (
      SELECT
      REPLACE(UPPER(TRIM(TENDER_NAME)), '.', '') AS TENDER_NAME,
      TICKET_ID

      FROM loyalty.tlog.tlog_sale_ticket_tenders

      WHERE PARTITION_DATE_KEY BETWEEN 20230101 AND 20230731
      AND LEFT(REST_NO,2) = 10
    ),

    LOYALTY AS
    (
      SELECT 
      TICKET_ID AS TICKET_ID

      FROM STG.DERIVED_MASTER_TABLE_NEW

      WHERE PARTITION_DATE_KEY BETWEEN 20230101 AND 20230731
      AND COUNTRY_NM = 'CANADA'
      AND IS_PASS_THROUGH = 0 
      AND LEFT(REGISTERED_ACCOUNT_ID,7) = 'us-east'
    )

    SELECT
    A.*

    TH_FISCAL_YEAR,
 FROM TENDERS A

    INNER JOIN  TH_FISCAL_WEEK,LOYALTY B
    ON A.TICKET_ID = B.TICKET_ID
  DATE_FORMAT(  )

SELECT
CASE
       CAST(   WHEN UPPER(TENDER_NAME) IN ('CASH', 'COMPTANT', 'EFECTIVO', 'US CASH', 'CANADIAN CASH', 'CDN  UNIX_TIMESTAMP(LEFT(WEEK_START_DT, 10), 'yyyy-MM-dd') AS TIMESTAMPCASH', 'ROUNDED CASH', 'ROUNDED COMPTANT') THEN 'CASH'

          WHEN UPPER(TENDER_NAME), IN ('DEBIT CARD', 'DEBIT', 'CARTE DEBIT', 'DEBITO', 'DÉBIT', 'DO DEBIT')  THEN 'yyyyMMddDEBIT'

         ) ASWHEN WEEK_START_MAPPING,
          CAST(PERIOD_DT AS DATE) AS PERIOD_DT,
          REGISTEREDACCOUNTID,
          loyaltyCustomerId,
  UPPER(TENDER_NAME) IN ('VISA', 'MASTERCARD', 'MASTER CARD', 'AMEX', 'AMERICAN EXPRESS', 'CREDIT CARD', 'CREDIT CARDS', 'DISCOVER', 'M/C', 'DISCOVER CARD', 'DIGITAL AMEX', 'DIGITAL DISCOVER', 'DIGITAL MASTER CARD', 'DIGITAL MASTERCARD', 'DIGITAL AMERICAN EXPRESS', 'DIGITAL VISA', 'DO VISA', 'DO MASTERCARD') THEN 'CREDIT'

      TRANSACTIONID,    WHEN UPPER(TENDER_NAME) IN ('TIM CARD', 'DIGITAL  EXPLODE(APPLIEDOFFERS) AS EXPLODED_OFFERS,
          REST_TYP_NM,
          OPS_DIV_NMTIM CARD', 'CARTE TIM', 'MOBILE TIM CARD', 'DIGITAL CARTE TIM', 'TIM CARTE', 'TIMS GIFT CARD', 'DIGITAL TIMS GIFT CARD', 'CARTE-CADEAU TIM', 'DIGITAL CARTE-CADEAU TIM') THEN 'TIMCARD'

          FROM
    WHEN UPPER(TENDER_NAME) LIKE '%SKIP%' THEN 'SKIP'

    PRODRT.CURATED_TRANS_EVENTS_NEW -- 1.	Challenge duration: 26/09 to 02/10
    WHEN UPPER(TENDER_NAME) LIKE '%UBER%' THEN 'UBER'

  WHERE        WHEN UPPER(TENDER_NAME)  DATE_KEY BETWEEN '${myapplication.Offer_Start_Date}'LIKE '%DOOR%' THEN 'DOORDASH'

          AND '${myapplication.Offer_End_Date}'
          AND COUNTRY_NM = 'CANADA'
          AND REGISTEREDACCOUNTID IS NOT NULL
          AND TRANSACTIONID IS NOT NULL -- AND REST_TYP_NM = "STANDARD"
      )
      SELECT
        DISTINCT A.TH_FISCAL_YEAR,
        A.TH_FISCAL_WEEK,
        A.WEEK_START_MAPPING,WHEN UPPER(TENDER_NAME) IN ('SCAN AND PAY VISA', 'SCAN AND PAY MASTERCARD', 'SCAN AND PAY TIMCARD', 'SCAN AND PAY AMEX', 'SCAN AND PAY DISCOVER', 'SCAN AND PAY TIM CARD', 'NUMERISEZ ET PAYEZ – VISA', 'SCANTOPAY', 'NUMERISEZ ET PAYEZ – MASTERCARD', 'NUMERISEZ ET PAYEZ – CARTE TIM', 'NUMÉRISEZ ET PAYEZ – VISA', 'NUMÉRISEZ ET PAYEZ – MASTERCARD', 'NUMÉRISEZ ET PAYEZ – CARTE TIM', 'NUMERISEZ ET PAYEZ – AMEX', 'NUMÉRISEZ ET PAYEZ – AMEX', 'SCAN AND PAY TIMS GIFT CARD', 'NUMERISEZ ET PAYEZ CARTE-CADEAU TIM') THEN 'SCANANDPAY'

            A.PERIOD_DT,
        A.REGISTEREDACCOUNTID,
        A.loyaltyCustomerId,
        A.TRANSACTIONID,
        A.REST_TYP_NM,
        A.OPS_DIV_NM,
        B.DESCRIPTION,
        1 AS REDEMPTIONS
      FROMWHEN UPPER(TENDER_NAME) IN ('HST', 'HST1', 'TVQ', 'TPS', 'GST', 'TAX', 'PST', 'HST TAXABLE SALES', 'SALES TAX' 'HST 1', 'H.S.T.1', 'H.S.T', 'HST 13% TAXABLE SALES', 'GST TAXABLE SALES', 'TAX 1', 'HST 1', 'GST# 75696 6891 RT0001', 'HST # 897258141', 'HST5%', 'HST8%', 'QST', 'SALES TAX', 'MEAL PLAN CARD - PREPAID TAX', 'CARTE PLAN REPAS - TAX PREPAYEE', 'GST # 121071781RT0001', 'TVH', 'TVH1', 'VAF', 'H.S.T.') THEN 'TAX'

           EXPLODED AS A
        LEFT JOIN DYDB.OFFERS AS B ON A.EXPLODED_OFFERS = B.OFFERID
      WHERE
        EXPLODED_OFFERS = '76290e2e-1783-442f-8ff6-a2b16900a34e'
    ),
    points_issued as (
      Select
        *,
 WHEN ((UPPER(TENDER_NAME) LIKE '%ROUND%') OR (UPPER(TENDER_NAME) LIKE '%ARRONDIS %')) THEN 'ROUND UP'

          ELSE 'OTHER'
END AS TENDER,
COUNT(DISTINCT TICKET_ID) AS TRXNS

FROM LOYALTY_TENDERS

GROUP BY 1

  With base as(
    select
      TH_FISCAL_YEAR,
      period_dt,
      state_nm,
      WEEKOFYEAR(to_date(partition_date_key, "yyyyMMdd")) AS WEEK_START,detail_type,
           regexp_extract(barcode, '(\\d+)|(\\d+)', 0) as lid
 ops_div_nm,
      ticket_details_key,
    From  ticket_details_pos_no,
      prodrta.curatedticket_details_pointspos_eventsnm,
as points     B.discount_key,
 where     B.discount_cd,
   partition_date_key  BETWEEN '${myapplication.Offer_Start_Date}'B.discount_nm,
      C.coupon_key,
 AND '${myapplication.Offer_End_Date}'    C.coupon_cd,
    and tag = 'PRODUCT_CHALLENGED_COMPLETED'
 C.coupon_offr_nm,
   ),   D.Category,
 completed as(    SUM(amount) as amt,
Select      count(distinct(ticket_id)) as TRXNS
a.TH_FISCAL_YEAR as TH_FISCAL_YEAR,  from
      aSTG.THDERIVED_MASTER_FISCAL_WEEK as TH_FISCAL_WEEK,TABLE_NEW a
      left join loyalty.tlog.dim_discount b on a.WEEKticket_STARTdetails_MAPPINGkey as= WEEK_START_MAPPING,b.discount_key
      left join tlog.dim_coupon c on a.PERIODticket_details_DTkey as= PERIOD_DT,c.coupon_key
      left  DATE_FORMAT(
    join loyalty.analytics.clearview_mapping_discount_types d on a.ticket_details_pos_nm = d.ticket_details_pos_nm
    where
CAST(      amount < 0
    UNIX_TIMESTAMP(LEFT(PERIOD_DT, 10), 'yyyy-MM-dd') AS TIMESTAMP
 and quantity > 0
      AND COUNTRY_NM = ),
    'CANADA' -- and rest_no = 100387
     'yyyyMMdd' -- and date_key >= 20240101
   ) as transaction_dt,GROUP BY
      1,
 a.REGISTEREDACCOUNTID as REGISTEREDACCOUNTID,   2,
     a.loyaltyCustomerId as loyaltyCustomerId 3,
      4,
 a.TRANSACTIONID as TRANSACTIONID,   5,
     a.REST_TYP_NM as REST_TYP_NM 6,
      7,
 a.OPS_DIV_NM as OPS_DIV_NM,   8,
     a.DESCRIPTION as DESCRIPTION 9,
      10,
 a.REDEMPTIONS as REDEMPTIONS,   11,
     b.transactionID as completion_transactionID,12,
      13,
  b.pointsEarned as pointsEarned,  14,
      b.restaurant as restaurant,
        b.partition_date_key as offer_completion_dt,
        b.WEEK_START as offer_completion_week,
        b.lid as lid
      from
        TRXN_OFFER_CHALLENGES_REDEMPTIONS a
        left join points_issued b on a.loyaltyCustomerId = b.lid
        and b.WEEK_START = a.TH_FISCAL_WEEK
    )
    Select
      TH_FISCAL_YEAR,
      TH_FISCAL_WEEK,
      WEEK_START_MAPPING,
      REGISTEREDACCOUNTID,
      loyaltyCustomerId,
      offer_completion_week,
      count(
        distinct(
          case
            when offer_completion_dt is not NULL
            and transaction_dt <= offer_completion_dt then TRANSACTIONID
          end
        )
      ) as trnx_before_completion,
      count(distinct(TRANSACTIONID)) as total_trnx,
      count(
        distinct (
          case
            when lid is not Null then lid
          end
        )
      ) as completed
    from
      completed
    group by 1, 2, 3, 4, 5, 6

loyalty.analytics.clearview_mapping_discount_types

-- Total Summary
with clean_loyalty_transactions as(
  with FILTERED as(
    WITH SEPERATED AS (
      -- Filter for Exploded offers for offer ids and explode the disc amt with corresponding PLU
      with zipped as (
        -- explode offers and combine the Discount amount with offer
        SELECT
          *,
          arrays_zip(discountAmounts, appliedOffers) as comb --   EXPLODE(APPLIEDOFFERS) AS EXPLODED_OFFERS
        FROM
          PRODRT.CURATED_TRANS_EVENTS_NEW
        WHERE
          partition_date_key >= 20201201
          -- to_date(partition_date_key, "yyyyMMdd") BETWEEN DATE '$Start_Date' AND DATE '$End_Date'
          AND LEFT(REGISTEREDACCOUNTID, 7) = 'us-east'
          AND APPLIEDOFFERS IS NOT NULL
          AND COUNTRY_NM = 'CANADA'
      )
      select
        DISTINCT transactionId,
        loyaltyCustomerId,
        registeredAccountId,
        state_nm,
        ticketId,
        period_dt,
        th_fiscal_week,
        th_fiscal_year,
        week_start_dt,
        explode(Comb) as test
      from
        zipped
    )
    SELECT
      *,
      test ['discountAmounts'] AS DISC_AMT,
      test ['appliedOffers'] AS APPLIED_OFFER
    FROM
      SEPERATED
  )
  select
    FILTERED.*,
    O.NAME,
    O.DESCRIPTION,
    1 as VOLUME
  From
    FILTERED
    inner JOIN DYDB.OFFERS O ON O.OFFERID = FILTERED.APPLIED_OFFER
)
SELECT
  TH_FISCAL_YEAR,
  th_fiscal_week,
  date(week_start_dt) as wk_start_dt,
  state_nm, 
  APPLIED_OFFER,
  DESCRIPTION,
  SUM(DISC_AMT) AS DISCOUNT_DOLLARS,
  SUM(VOLUME) AS REDEMPTION_VOLUME
FROM
  clean_loyalty_transactions
GROUP BY
  1,2,3,4,5,6

SELECT LEVEL, COUNT(DISTINCT ID) AS USERS
FROM (
SELECT    _TIMHORTONS.LOYALTY.ID, MAX(DATE(TIMESTAMP)) AS DTE
        , COALESCE(MAX(CAST(SUBSTRING(_TIMHORTONS.INTERACTION.ELEMENT.VALUE,18,CHARINDEX('-',REPLACE(_TIMHORTONS.INTERACTION.ELEMENT.VALUE,'"','-'),18)-18) AS INT)),0) LEVEL
FROM    loyalty.events.adobe_app_events
WHERE   EVENTTYPE = 'element_clicked'
AND     DATE(TIMESTAMP) >= DATE '2023-11-01'
AND  UNION  -- HOCKEY PLAYERS

SELECT _TIMHORTONS.INTERACTION.PATH = '/timswordchallenge'
AND    DISTINCT TIMESTAMP,_TIMHORTONS.LOYALTY.IDINTERACTION.ELEMENT.NAME = 'play'
AND   AS GUESTS
FROM      _TIMHORTONS.LOYALTY.ID IN (SELECT DISTINCT registeredAccountId FROM loyalty.eventsusers.adobecustomer_app_eventsbase WHERE     TRIM(_TIMHORTONS.INTERACTION.PATH) = '/hockey_challenge'
AND       TRIM(_TIMHORTONS.INTERACTION.ELEMENT.NAME) IN ('submit_picks')
ANDLEFT(loyaltyCustomerId,4) IN ('0463','0473'))
GROUP BY 1
)
GROUP BY 1
ORDER BY 1

WITH OFFER_BASE AS
(
            _TIMHORTONS.PLATFORMSELECT IN
('app') AND       LEFT(_TIMHORTONS.LOYALTY.ID,7) = 'us-east' AND MONTH_DT,
     DATE >= DATE '2023-11-01'  ) GROUP BY 1,2
ORDER BY 1 DESC, 2