1. Lighthouse

Level 4 · What the coupons cost

The request

From Jordan Reyes, Head of Marketing

“Finance wants to cut coupons for 2026. Before they do, tell me what each code actually cost us in 2025, and which one is the biggest line.”

Your goal

For 2025 booked orders (status IN ('completed', 'refunded'), quantity > 0, order_date >= '2025-01-01' AND order_date < '2026-01-01') that used a coupon (coupon_code IS NOT NULL), return one row per coupon_code with orders (distinct orders), gross_sales, discount and share_of_discounts_pct (the code's discount × 100 / all coupons' discount). Round money and the share to 2 decimals. Sort by discount descending, then coupon_code.

  • Read from the orders tablenot done yet
  • Read from the order_items tablenot done yet
  • Show exactly coupon_code orders gross_sales discount share_of_discounts_pctnot done yet

Your query

SQL

Loading the editor…

    ResultPreview of orders · press Run to see yours
    Preview of orders
    order_idcustomer_idorder_datestatuschannel
    10011252023-01-01 20:51:19completedweb
    10021562023-01-02 07:58:46completedweb
    1003222023-01-02 10:25:27completedmarketplace
    1004482023-01-02 11:21:51completedmarketplace

    Mote checks your result

    Press Run. Each row that matches the goal becomes a firefly in your lantern.

    Tables

    Harbor & Pine store data, ready to query.

    orders12,000 rows · 7 columns
    • order_idinteger
    • customer_idinteger
    • order_datetimestamp
    • statusvarchar
    • channelvarchar
    • shipping_feedecimal
    • coupon_codevarchar
    First 5 rows of orders
    order_idcustomer_idorder_datestatuschannelshipping_feecoupon_code
    10011252023-01-01 20:51:19completedweb0.00NULL
    10021562023-01-02 07:58:46completedweb0.00NULL
    1003222023-01-02 10:25:27completedmarketplace4.99WELCOME10
    1004482023-01-02 11:21:51completedmarketplace4.99WELCOME10
    1005822023-01-02 11:43:36completedweb0.00WELCOME10
    order_items30,338 rows · 6 columns
    • order_item_idinteger
    • order_idinteger
    • product_idinteger
    • quantityinteger
    • unit_pricedecimal
    • discount_pctdecimal
    First 5 rows of order_items
    order_item_idorder_idproduct_idquantityunit_pricediscount_pct
    11001121931.990.00
    21001154311.990.00
    31002154411.990.00
    410021941149.000.00
    51002193219.990.00
    customers2,018 rows · 9 columns
    • customer_idinteger
    • first_namevarchar
    • last_namevarchar
    • emailvarchar
    • cityvarchar
    • statevarchar
    • signup_datedate
    • segmentvarchar
    • referral_sourcevarchar
    First 5 rows of customers
    customer_idfirst_namelast_nameemailcitystatesignup_datesegmentreferral_source
    1OwenHudsonowen.hudson@icloud.comSan FranciscoCA2022-06-02consumersearch
    2DouglasMendozadmendoza69@gmail.comAtlantaGA2022-06-02consumerNULL
    3HenryBrookshbrooks@lakesidecafe.comLos AngelesCA2022-06-04businessNULL
    4BrianGrahambgraham@bluecedarhomes.comSeattleWA2022-06-06businesspinterest
    5KyleJimenezkjimenez27@yahoo.comIndianapolisIN2022-06-07consumerNULL
    products120 rows · 8 columns
    • product_idinteger
    • namevarchar
    • categoryvarchar
    • subcategoryvarchar
    • unit_pricedecimal
    • unit_costdecimal
    • launched_ondate
    • is_activeboolean
    First 5 rows of products
    product_idnamecategorysubcategoryunit_priceunit_costlaunched_onis_active
    101Vale Velvet LoveseatFurnitureSofas1659.00NULL2023-09-11true
    102Alder Oak Coffee TableFurnitureTables919.00503.502024-05-16true
    103Orchard Rattan Dining ChairFurnitureChairs789.00429.872023-05-27true
    104Upland Oak BookcaseFurnitureStorage429.00214.702022-12-20true
    105Avery Leather Bed FrameFurnitureBeds449.00232.702021-08-31true
    returns1,673 rows · 5 columns
    • return_idinteger
    • order_item_idinteger
    • returned_ondate
    • reasonvarchar
    • refund_amountdecimal
    First 5 rows of returns
    return_idorder_item_idreturned_onreasonrefund_amount
    1142023-01-10damaged83.69
    2422023-01-10wrong_item19.99
    31052023-01-14wrong_item10.99
    4242023-01-16changed_mind26.99
    51262023-01-16late20.99
    employees60 rows · 8 columns
    • employee_idinteger
    • first_namevarchar
    • last_namevarchar
    • departmentvarchar
    • titlevarchar
    • manager_idinteger
    • hire_datedate
    • salaryinteger
    First 5 rows of employees
    employee_idfirst_namelast_namedepartmenttitlemanager_idhire_datesalary
    1CatherineHaleExecutiveChief Executive OfficerNULL2016-03-01285000
    2RobertKimExecutiveChief Operating Officer12017-01-09235000
    3MeganCollinsSalesHead of Sales12018-04-16172000
    4ChloeGutierrezSalesAccount Executive32020-01-2172000
    5FrankBellSalesAccount Executive32023-05-2173000
    web_sessions40,000 rows · 7 columns
    • session_idinteger
    • customer_idinteger
    • started_attimestamp
    • devicevarchar
    • sourcevarchar
    • pages_viewedinteger
    • convertedboolean
    First 5 rows of web_sessions
    session_idcustomer_idstarted_atdevicesourcepages_viewedconverted
    1NULL2023-01-01 23:02:24mobilepaid1false
    2182023-01-01 15:07:49desktoppaid1false
    3NULL2023-01-01 16:55:46desktopdirect7false
    4NULL2023-01-01 12:43:28mobileorganic3false
    5NULL2023-01-01 13:06:21mobilesocial2false
    marketing_spend3,276 rows · 3 columns
    • spend_datedate
    • channelvarchar
    • amountdecimal
    First 5 rows of marketing_spend
    spend_datechannelamount
    2023-01-01paid492.99
    2023-01-01email37.38
    2023-01-01social200.53
    2023-01-02paid709.13
    2023-01-02email64.13

    The lesson

    Rate is not cost

    Every coupon at Harbor & Pine has a fixed rate: BFCM25 takes 25% off, WELCOME10 10%. The rate tells you how generous a code is. It does not tell you what it cost, because cost is rate × the sales it was used on. A code is expensive when it is generous and popular.

    quantity * unit_price * discount_pct / 100   -- discount dollars on one line

    Summed per code, that is the dollar cost. Marketing compares codes by rate; finance compares them by dollars. This level gives both their number.

    Share of the total with a window

    To say “BFCM25 is 30% of all coupon cost” each row needs the total across every code. A window function over the grouped result gives it without a second query:

    SUM(SUM(discount_expr)) OVER ()

    The inner SUM is the group’s discount; the outer SUM ... OVER () adds those group sums across all rows. Divide the first by the second, multiply by 100.0, round once.

    What 2025 shows

    BFCM25 cost $14,367.33 on 112 orders over one long weekend. WELCOME10 cost $10,126.31 on 198 orders. SPRING15, HOLIDAY20 and SUMMER15 each cost between $7,200 and $8,900. In all, coupons took $47,953.28 off 2025 gross sales, about 2% of $2.41M.

    FREESHIP shows 79 orders and $0 discount. Its cost is real, but it is the shipping fee the store did not charge, so it lives in orders.shipping_fee. A coupon report that only reads discount_pct misses it; say so in the footnote.

    Cost is half the question

    The other half is what the coupon bought. WELCOME10 brings in new customers, whose later orders carry no discount. BFCM25 may mostly discount orders people would have placed anyway. Cost per code is where that conversation starts, and chapter 2’s customer lifetime value is where it continues.

    Common mistakes

    • Ranking by rate. The 25% code is not automatically the costliest.
    • Forgetting free shipping. A discount column only holds price discounts.
    • Joining returns first. Discounts are a sales-side number; keep refunds out of this query.

    Interview note

    “How would you measure whether a promotion was worth it?” Start with its cost in dollars, then the incremental orders and the customers it acquired. Cost alone never decides it.

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