MTA 位置歸因分析報告(含 Organic 觸點 + 100% 覆蓋)

tableau_mta_order_424 | 40/20/40 Position-Based Attribution | 2025-01-01 ~ 2026-03-07
KKday Data Team
Generated: 2026-03-07 16:42

分析脈絡

對應提問
含 Organic 觸點和 100% 訂單覆蓋後,MTA 40/20/40 歸因和 Last-Click 系統的 Profit 差異有何變化?
拆解方式
  1. 納入 Organic 觸點(CID 為 NULL → 'ORGANIC'),完整還原消費者旅程
  2. 100% 訂單覆蓋(以 all_orders 為基底)
  3. 使用 Adjusted Journey(_adj),確保 Last Touch CID = 訂單系統 CID
  4. User-ID 跨裝置 + Device 單裝置雙版本比較
資料來源與欄位
  • dm_tableau.tableau_mta_order_424 — 訂單層級 MTA 歸因表
  • dw_analysis_record.kkday_order_cid_journey_action — 上游 CID Journey 表
  • 金額:coupon_adj_order_profit(毛利)
資料區間
期間 2025-01-01 ~ 2026-03-07 訂單數 ~11494K(100% 覆蓋) 歸因模型 40/20/40 Position-Based Journey 版本 Adjusted(_adj)

MTA 40/20/40 Profit 計算方式

每筆訂單的毛利(coupon_adj_order_profit)依觸點位置完整分配 100%

  • 單觸點訂單:First Touch = 100%
  • 雙觸點訂單:First Touch = 50%、Last Touch = 50%
  • 三觸點以上:First Touch = 40%、Middle Touches = 20%(均分)、Last Touch = 40%

本版新增 ORGANIC 渠道:CID 為 NULL 的 action 觸點標記為 ORGANIC。無旅程訂單(4,289,027 筆 / $8,790,406)無法參與歸因。

Cid Journey 長度分佈與客單價關係

含 Organic 觸點後的訂單 CID 旅程觸點數分群(Adjusted Journey)

關鍵發現
62.7% 的訂單(7,205,372 筆)有至少 1 個觸點(含 Organic)。 旅程越長客單價越高:單觸點平均 $57, 5+ 觸點平均 $81+。
資料來源與計算方式
SQL 查詢
   SELECT CASE
              WHEN journey_length IS NULL OR journey_length = 0 THEN '0 (無旅程)'
              WHEN journey_length = 1 THEN '1'
              WHEN journey_length = 2 THEN '2'
              WHEN journey_length = 3 THEN '3'
              WHEN journey_length = 4 THEN '4'
              WHEN journey_length = 5 THEN '5'
              WHEN journey_length BETWEEN 6 AND 10 THEN '6-10'
              WHEN journey_length BETWEEN 11 AND 20 THEN '11-20'
              ELSE '21+'
          END AS journey_group,
          COUNT(*) AS orders,
          ROUND(SUM(gross_profit), 2) AS total_profit
     FROM `dm_tableau.tableau_mta_order_424`
 GROUP BY 1
 ORDER BY MIN(COALESCE(journey_length, 0))


-- AOV by length

   SELECT COALESCE(journey_length, 0) AS jlen,
          ROUND(AVG(gross_revenue), 2) AS avg_revenue,
          ROUND(AVG(gross_profit), 2) AS avg_profit
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE COALESCE(journey_length, 0) <= 15
 GROUP BY 1
 ORDER BY 1
原始查詢結果
journey_group orders total_profit
0 (無旅程) 4289027 8790405.78
1 2941596 15847700.70
2 1204950 7928430.32
3 728950 5186135.36
4 483446 3558891.64
5 348524 2614669.90
6-10 831335 6273398.22
11-20 438066 3107828.88
21+ 228505 1188760.42

渠道角色分析:誰在開門?誰在關門?

含 ORGANIC 渠道,比較各渠道在 First Touch(開啟認知)與 Last Touch(促成轉換)的訂單數差異

關鍵發現
  • ORGANIC First 1,037 → Last 840(-19.0%),偏向「開門」渠道。
  • PAID CHANNEL First 2,783,053 → Last 2,284,129(-17.9%),偏向「開門」渠道。
  • EARN CHANNEL First 2,728,381 → Last 3,155,756(+15.7%),偏向「收割」渠道。
  • OWN CHANNEL First 1,692,901 → Last 1,764,647(+4.2%),偏向「收割」渠道。
資料來源與計算方式
SQL 查詢
   SELECT channel,
          SUM(first_cnt) AS first_touch_orders,
          SUM(last_cnt) AS last_touch_orders
     FROM (
           SELECT first_touch_channel AS channel, COUNT(*) AS first_cnt, 0 AS last_cnt
             FROM `dm_tableau.tableau_mta_order_424`
            WHERE first_touch_channel IS NOT NULL
         GROUP BY 1
          UNION ALL
           SELECT last_touch_channel, 0, COUNT(*)
             FROM `dm_tableau.tableau_mta_order_424`
            WHERE last_touch_channel IS NOT NULL
         GROUP BY 1
          )
 GROUP BY 1
原始查詢結果
channel first_touch_orders last_touch_orders
EARN CHANNEL 2728381 3155756
OWN CHANNEL 1692901 1764647
ORGANIC 1037 840
PAID CHANNEL 2783053 2284129

Last-Click vs MTA:Channel 毛利重分配

含 ORGANIC 渠道。Last-Click 將 100% 毛利歸給末次觸點;MTA 40/20/40 完整分配。

ChannelLast-ClickMTA FirstMTA MiddleMTA LastMTA Total差額%
EARN CHANNEL $18,652,410 $9,602,610 $1,377,013 $5,426,632 $16,406,255 $-2,246,155 -12.0%
ORGANIC $5,245 $3,778 $719 $1,510 $6,007 +$763 +14.5%
OWN CHANNEL $10,775,117 $6,419,259 $1,295,686 $3,180,993 $10,895,938 +$120,822 +1.1%
PAID CHANNEL $16,273,044 $12,558,194 $1,712,520 $4,127,005 $18,397,719 +$2,124,675 +13.1%
無旅程訂單:4,289,027 筆 / Profit $8,790,406
關鍵發現
  • EARN CHANNEL 被高估 $-2,246,155(-12.0%)
  • PAID CHANNEL 被低估 $2,124,675(+13.1%)
  • OWN CHANNEL 被低估 $120,822(+1.1%)
  • ORGANIC 被低估 $763(+14.5%)
驗證:四渠道差額加總 ≈ 0

差額加總 = $104(ROUND 誤差)

資料來源與計算方式
SQL 查詢
-- Last-Click by Channel

   SELECT COALESCE(last_touch_channel, 'NO_JOURNEY') AS channel,
          ROUND(SUM(gross_profit), 2) AS lc_profit,
          COUNT(*) AS orders
     FROM `dm_tableau.tableau_mta_order_424`
 GROUP BY 1


-- MTA First by Channel

   SELECT first_touch_channel AS channel,
          ROUND(SUM(first_touch_attributed_profit), 2) AS mta_first
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE first_touch_channel IS NOT NULL
 GROUP BY 1


-- MTA Last by Channel

   SELECT last_touch_channel AS channel,
          ROUND(SUM(last_touch_attributed_profit), 2) AS mta_last
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE last_touch_channel IS NOT NULL
 GROUP BY 1

Main Cat 層級:Last-Click vs MTA 毛利差異

以 cid_main_cat 細分渠道(含 Unknown = ORGANIC 觸點)

Main CatLast-ClickMTA FirstMTA MiddleMTA LastMTA Total差額%
Earn - Affiliate $14,358,722 $6,828,816$1,036,117 $4,331,023$12,195,956 $-2,162,766 -15.1%
Paid - PF SEM $9,925,676 $7,603,980$912,792 $2,393,333$10,910,106 +$984,429 +9.9%
Paid - PF Display $4,465,509 $3,657,425$521,216 $1,145,701$5,324,342 +$858,832 +19.2%
Paid - Brand $1,113,521 $832,409$154,734 $341,153$1,328,296 +$214,775 +19.3%
Earn - Referral $3,515,248 $2,194,440$272,572 $904,951$3,371,963 $-143,285 -4.1%
Own - Content $10,202,314 $6,118,718$1,220,280 $2,999,074$10,338,071 +$135,757 +1.3%
Earn - Influencer $603,655 $426,544$62,591 $166,337$655,472 +$51,817 +8.6%
Paid - PF Display RT $758,464 $432,670$122,986 $251,465$807,122 +$48,658 +6.4%
Paid - Partner $8,315 $30,496$646 $-5,155$25,987 +$17,672 +212.5%
Own - SNS $572,802 $300,541$75,406 $181,920$557,867 $-14,935 -2.6%
Earn - Official Website $174,772 $152,798$5,732 $24,317$182,847 +$8,075 +4.6%
Unknown $4,722 $3,449$622 $1,308$5,380 +$658 +13.9%
Paid - PF Others $1,105 $857$127 $325$1,309 +$204 +18.5%
Paid - Partner Enterprise $466 $369$20 $186$575 +$109 +23.3%
Own - Organic $523 $329$96 $202$627 +$105 +20.0%
關鍵發現
  • Earn - Affiliate:差額 $-2,162,766(-15.1%)
  • Paid - PF SEM:差額 $984,429(+9.9%)
  • Paid - PF Display:差額 $858,832(+19.2%)
  • Paid - Brand:差額 $214,775(+19.3%)
  • Earn - Referral:差額 $-143,285(-4.1%)
資料來源與計算方式
SQL 查詢
-- LC by Main Cat

   SELECT COALESCE(last_touch_main_cat, 'Unknown') AS main_cat,
          ROUND(SUM(gross_profit), 2) AS lc_profit
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE last_touch_channel IS NOT NULL
 GROUP BY 1


-- MTA First by Main Cat

   SELECT COALESCE(first_touch_main_cat, 'Unknown') AS main_cat,
          ROUND(SUM(first_touch_attributed_profit), 2) AS mta_first
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE first_touch_channel IS NOT NULL
 GROUP BY 1


-- MTA Last by Main Cat

   SELECT COALESCE(last_touch_main_cat, 'Unknown') AS main_cat,
          ROUND(SUM(last_touch_attributed_profit), 2) AS mta_last
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE last_touch_channel IS NOT NULL
 GROUP BY 1

CID Campaign 影響力落差 Top 20

以 CID (Site Name) 層級比較 Last-Click vs MTA 毛利差異(篩選:訂單數 >= 100)

CIDSite NameChannelOrdersLC ProfitMTA Profit差額%
3789SHOPBACKTWEARN 393,649 $2,698,370 $1,842,996 $-855,374 -31.7%
15925Global_Google PMAXPAID 603,052 $4,306,208 $5,136,801 +$830,593 +19.3%
2636Global_Google AdsPAID 633,634 $4,560,853 $5,129,483 +$568,630 +12.5%
3345shopbackHKEARN 111,934 $1,239,128 $825,410 $-413,717 -33.4%
5954LINE TravelEARN 174,931 $827,480 $600,147 $-227,333 -27.5%
13730PayMeEARN 52,857 $496,468 $273,441 $-223,028 -44.9%
5311HKMO_推播PAID 154,625 $1,110,986 $1,325,254 +$214,268 +19.3%
6832HSBCEARN 18,566 $305,490 $169,069 $-136,421 -44.7%
5193Global_Google DSAPAID 116,237 $813,928 $949,712 +$135,784 +16.7%
4904Product_App Sharing FunctionEARN 316,992 $2,593,232 $2,459,895 $-133,336 -5.1%
7393 TW 推播OWN 419,566 $2,450,696 $2,543,656 +$92,960 +3.8%
11768Product_App Sharing Function TEARN 64,883 $620,387 $528,041 $-92,346 -14.9%
19661卡優新聞網EARN 15,726 $226,102 $135,561 $-90,541 -40.0%
10470System EDMOWN 262,496 $1,370,235 $1,279,709 $-90,526 -6.6%
11472Global_Google TTD AdsPAID 58,206 $315,815 $391,420 +$75,605 +23.9%
18463TW_Google regional DSAPAID 55,455 $401,976 $476,932 +$74,957 +18.6%
5296V妞的旅行EARN 19,661 $217,864 $144,206 $-73,658 -33.8%
5262台新銀行EARN 19,604 $189,858 $116,662 $-73,197 -38.6%
2003KKday BlogOWN 162,357 $1,167,071 $1,227,231 +$60,160 +5.2%
6304Involve AsiaEARN 33,486 $184,702 $239,591 +$54,889 +29.7%
資料來源與計算方式
SQL 查詢
-- LC by CID

   SELECT COALESCE(last_touch_cid, 'ORGANIC') AS cid,
          MAX(COALESCE(last_touch_site_name, 'ORGANIC')) AS site_name,
          MAX(COALESCE(SUBSTR(last_touch_channel, 1, 4), 'ORGA')) AS ch,
          ROUND(SUM(gross_profit), 2) AS lc_profit,
          COUNT(*) AS orders
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE last_touch_channel IS NOT NULL
 GROUP BY 1


-- MTA First by CID

   SELECT COALESCE(first_touch_cid, 'ORGANIC') AS cid,
          ROUND(SUM(first_touch_attributed_profit), 2) AS mta_first
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE first_touch_channel IS NOT NULL
 GROUP BY 1

細分渠道 — First Touch vs Last Touch 歸因營收

以 cid_main_cat 層級比較各渠道在不同觸點位置的歸因營收(40/20/40 模型)

資料來源與計算方式
SQL 查詢
   SELECT main_cat,
          ROUND(SUM(mta_first_rev), 2) AS first_rev,
          ROUND(SUM(mta_last_rev), 2) AS last_rev
     FROM (
           SELECT COALESCE(first_touch_main_cat, 'Unknown') AS main_cat,
                  first_touch_attributed_revenue AS mta_first_rev, 0 AS mta_last_rev
             FROM `dm_tableau.tableau_mta_order_424`
            WHERE first_touch_channel IS NOT NULL
          UNION ALL
           SELECT COALESCE(last_touch_main_cat, 'Unknown'),
                  0, last_touch_attributed_revenue
             FROM `dm_tableau.tableau_mta_order_424`
            WHERE last_touch_channel IS NOT NULL
          )
 GROUP BY 1
 ORDER BY first_rev DESC
原始查詢結果
main_cat first_rev last_rev
Earn - Affiliate 83255370.47 50051635.22
Paid - PF SEM 75859214.03 23832375.34
Own - Content 62131709.68 31392905.42
Paid - PF Display 37664208.66 11851619.71
Earn - Referral 19476303.50 8159437.91
Paid - Brand 9903847.51 4180196.45
Earn - Influencer 5018162.08 2144252.46
Paid - PF Display RT 4124763.35 2358788.49
Earn - Official Website 3146367.83 512479.96
Own - SNS 2991097.41 1784945.07

First → Last 渠道流向矩陣

2+ 觸點訂單的跨渠道轉換路徑(含 ORGANIC;行 = First Touch,列 = Last Touch)

關鍵發現
  • EARN CHANNEL → EARN CHANNEL:854,017 筆 / $5.5M profit
  • PAID CHANNEL → PAID CHANNEL:818,235 筆 / $6.3M profit
  • PAID CHANNEL → EARN CHANNEL:590,720 筆 / $4.9M profit
  • OWN CHANNEL → OWN CHANNEL:571,457 筆 / $3.3M profit
  • PAID CHANNEL → OWN CHANNEL:380,171 筆 / $2.7M profit
資料來源與計算方式
SQL 查詢
   SELECT first_touch_channel AS first_ch,
          last_touch_channel AS last_ch,
          COUNT(*) AS orders,
          ROUND(SUM(gross_profit), 2) AS profit
     FROM `dm_tableau.tableau_mta_order_424`
    WHERE journey_length >= 2
      AND first_touch_channel IS NOT NULL
      AND last_touch_channel IS NOT NULL
 GROUP BY 1, 2
原始查詢結果
first_ch last_ch orders profit
PAID CHANNEL EARN CHANNEL 590720 4899544.81
PAID CHANNEL OWN CHANNEL 380171 2655737.80
EARN CHANNEL PAID CHANNEL 249966 1778095.32
OWN CHANNEL PAID CHANNEL 221980 1564183.76
ORGANIC EARN CHANNEL 297 2323.67
OWN CHANNEL ORGANIC 134 652.31
EARN CHANNEL ORGANIC 168 1452.15
ORGANIC OWN CHANNEL 181 1254.12
PAID CHANNEL PAID CHANNEL 818235 6269982.58
PAID CHANNEL ORGANIC 186 970.94

Middle Touch 助攻分析:誰在旅程中推了一把?

三觸點以上訂單的中間觸點(20% 歸因),按 Channel 和 CID 拆解

CIDSite NameChannelAssist OrdersMiddle Profit
15925Global_Google PMAX 2,020,819 $500,090
2636Global_Google Ads 1,503,241 $392,306
7393 TW 推播 1,851,124 $275,391
7725Global_Google Brand 1,255,002 $221,427
4904Product_App Sharing Function 654,904 $179,625
10470System EDM 841,640 $160,599
5311HKMO_推播 946,613 $154,461
2003KKday Blog 657,351 $146,680
3553HKMO_homepagebanner 1,641,081 $123,568
3789SHOPBACKTW 735,299 $122,563
9582Retargeting Product View 425,604 $107,267
5193Global_Google DSA 372,755 $106,440
4190Global_Facebook DAT 430,657 $82,228
5109ChineseAN 304,682 $70,802
18463TW_Google regional DSA 270,494 $59,045
資料來源與計算方式
SQL 查詢
WITH base AS (
    SELECT order_oid, gross_profit,
           user_journey_detail_adj AS journey,
           ARRAY_LENGTH(user_journey_detail_adj) AS jlen
      FROM `dw_analysis_record.kkday_order_cid_journey_action`
     WHERE ARRAY_LENGTH(user_journey_detail_adj) >= 3
),
cid_info AS (
    SELECT CAST(cid AS STRING) AS cid, cid_main_cat
      FROM `dm_tableau.tableau_party_affiliate`
),
middle AS (
    SELECT t.channel, t.cid, t.site_name, ci.cid_main_cat,
           ROUND(b.gross_profit * 0.2 / (b.jlen - 2), 4) AS attr_profit
      FROM base b, UNNEST(b.journey) AS t WITH OFFSET AS pos
           LEFT JOIN cid_info ci ON t.cid = ci.cid
     WHERE pos > 0 AND pos < b.jlen - 1
)
   SELECT channel, cid, MAX(site_name) AS site_name,
          MAX(COALESCE(cid_main_cat, 'Unknown')) AS main_cat,
          COUNT(*) AS assist_orders,
          ROUND(SUM(attr_profit), 2) AS middle_profit
     FROM middle
 GROUP BY 1, 2
 ORDER BY middle_profit DESC

結論與策略建議

核心發現(含 Organic 觸點後的洞察)

  • ORGANIC 是最被低估的渠道 $763(+14.5%)
  • EARN CHANNEL 高估幅度 -12.0%
  • PAID CHANNEL 被低估 +13.1%
  • OWN CHANNEL 被高估 +1.1%
  • Middle Touch 助攻總額 $4,385,937

後續 Action Items

  • 1. 重新認識 Organic 的價值:ORGANIC 在 MTA 下是最被忽視的「種草」渠道。
  • 2. ShopBack 增量性測試:Affiliate 被高估,ShopBack 為最大受益者,建議進行 incrementality test。
  • 3. 重新評估 Google Ads 全旅程價值:含 Middle Assist 後,SEM/PMAX/DSA 的真實貢獻超越 Last-Click。
  • 4. 建立雙軌報表:在現有 ROI Dashboard 旁新增 MTA 視角。

Device Journey 長度分佈與客單價關係

基於單裝置 Cookie(device_journey_detail_adj),含 Organic 觸點

資料來源與計算方式
SQL 查詢
   SELECT CASE
              WHEN COALESCE(ARRAY_LENGTH(device_journey_detail_adj), 0) = 0 THEN '0 (無旅程)'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) = 1 THEN '1'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) = 2 THEN '2'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) = 3 THEN '3'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) = 4 THEN '4'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) = 5 THEN '5'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) BETWEEN 6 AND 10 THEN '6-10'
              WHEN ARRAY_LENGTH(device_journey_detail_adj) BETWEEN 11 AND 20 THEN '11-20'
              ELSE '21+'
          END AS journey_group,
          COUNT(*) AS orders,
          ROUND(SUM(gross_profit), 2) AS total_profit
     FROM `dw_analysis_record.kkday_order_cid_journey_action`
 GROUP BY 1
 ORDER BY MIN(COALESCE(ARRAY_LENGTH(device_journey_detail_adj), 0))


-- Device AOV

   SELECT COALESCE(ARRAY_LENGTH(device_journey_detail_adj), 0) AS jlen,
          ROUND(AVG(gross_revenue), 2) AS avg_revenue,
          ROUND(AVG(gross_profit), 2) AS avg_profit
     FROM `dw_analysis_record.kkday_order_cid_journey_action`
    WHERE COALESCE(ARRAY_LENGTH(device_journey_detail_adj), 0) <= 15
 GROUP BY 1
 ORDER BY 1
原始查詢結果
journey_group orders total_profit
0 (無旅程) 4713706 11507074.49
1 3479845 19330278.31
2 1235153 8318609.50
3 677953 4898463.42
4 401115 3054187.74
5 263193 2019220.95
6-10 505001 3901408.12
11-20 173600 1224045.98
21+ 44836 242956.11

渠道角色分析:誰在開門?誰在關門?

Device 層級各渠道在 First Touch / Last Touch 的訂單數差異

資料來源與計算方式
SQL 查詢
WITH base AS (
    SELECT device_journey_detail_adj[OFFSET(0)].channel AS first_ch,
           device_journey_detail_adj[OFFSET(ARRAY_LENGTH(device_journey_detail_adj) - 1)].channel AS last_ch
      FROM `dw_analysis_record.kkday_order_cid_journey_action`
     WHERE ARRAY_LENGTH(device_journey_detail_adj) > 0
)
   SELECT channel, SUM(fc) AS first_touch_orders, SUM(lc) AS last_touch_orders
     FROM (
           SELECT first_ch AS channel, COUNT(*) AS fc, 0 AS lc FROM base GROUP BY 1
          UNION ALL
           SELECT last_ch, 0, COUNT(*) FROM base GROUP BY 1
          )
 GROUP BY 1
原始查詢結果
channel first_touch_orders last_touch_orders
OWN CHANNEL 1643718 1656044
PAID CHANNEL 2505609 2102858
ORGANIC 1047 800
EARN CHANNEL 2630322 3020994

Last-Click vs MTA:Channel 毛利重分配

Device Journey 的 40/20/40 歸因 vs Last-Click

ChannelLast-ClickMTA FirstMTA MiddleMTA LastMTA Total差額%
ORGANIC $5,245 $4,064 $588 $3,263 $7,914 +$2,670 +50.9%
OWN CHANNEL $10,775,117 $6,909,702 $907,030 $6,849,842 $14,666,574 +$3,891,457 +36.1%
EARN CHANNEL $18,652,410 $10,354,455 $968,716 $11,942,952 $23,266,122 +$4,613,712 +24.7%
PAID CHANNEL $16,273,044 $12,357,544 $1,191,723 $10,829,707 $24,378,974 +$8,105,930 +49.8%
無旅程訂單:4,289,027 筆 / Profit $8,790,406
資料來源與計算方式
SQL 查詢
-- Device MTA (comprehensive UNNEST)

WITH cid_info AS (
    SELECT CAST(cid AS STRING) AS cid, cid_main_cat
      FROM `dm_tableau.tableau_party_affiliate`
),
base AS (
    SELECT order_oid, gross_profit,
           device_journey_detai
-- ... (完整 SQL 見資料來源)

Main Cat 層級:Last-Click vs MTA 毛利差異

Device Journey 的 cid_main_cat 層級歸因比較

Main CatLast-ClickMTA FirstMTA MiddleMTA LastMTA Total差額%
Paid - PF SEM $9,925,676 $7,398,156$577,596 $6,697,181$14,672,933 +$4,747,257 +47.8%
Own - Content $10,202,314 $6,556,075$851,385 $6,490,534$13,897,994 +$3,695,679 +36.2%
Earn - Affiliate $14,358,722 $7,519,256$721,556 $9,005,178$17,245,990 +$2,887,268 +20.1%
Paid - PF Display $4,465,509 $3,615,091$390,799 $2,984,210$6,990,100 +$2,524,590 +56.5%
Earn - Referral $3,515,248 $2,263,342$202,481 $2,400,049$4,865,873 +$1,350,625 +38.4%
Paid - Brand $1,113,521 $853,068$125,418 $687,802$1,666,288 +$552,767 +49.6%
Earn - Influencer $603,655 $426,729$40,681 $397,708$865,118 +$261,463 +43.3%
Paid - PF Display RT $758,464 $459,903$99,516 $439,659$999,078 +$240,614 +31.7%
Own - SNS $572,802 $353,627$55,645 $359,308$768,581 +$195,778 +34.2%
Earn - Official Website $174,772 $145,114$3,997 $140,009$289,120 +$114,348 +65.4%
Paid - Partner $8,315 $30,137$-1,712 $19,777$48,201 +$39,887 +479.7%
Unknown $4,722 $3,745$515 $3,025$7,285 +$2,563 +54.3%
Paid - PF Others $1,105 $943$98 $792$1,832 +$727 +65.8%
Own - Organic $523 $319$73 $238$630 +$107 +20.4%
Paid - Partner Enterprise $466 $259$10 $294$562 +$96 +20.6%
資料來源與計算方式
SQL 查詢
-- (same Device MTA UNNEST query, grouped by main_cat)

CID Campaign 影響力落差 Top 20

Device Journey 的 CID 層級 Last-Click vs MTA 毛利差異

CIDSite NameChannelOrdersLC ProfitMTA Profit差額%
15925Global_Google PMAXPAID 603,052 $4,306,208 $6,742,548 +$2,436,340 +56.6%
2636Global_Google AdsPAID 633,634 $4,560,853 $6,946,232 +$2,385,379 +52.3%
4904Product_App Sharing FunctionEARN 316,992 $2,593,232 $3,637,851 +$1,044,619 +40.3%
7393 TW 推播OWN 419,566 $2,450,696 $3,465,259 +$1,014,563 +41.4%
7725Global_Google BrandPAID 299,381 $2,316,989 $3,117,596 +$800,607 +34.6%
5311HKMO_推播PAID 154,625 $1,110,986 $1,662,134 +$551,148 +49.6%
2003KKday BlogOWN 162,357 $1,167,071 $1,577,372 +$410,301 +35.2%
5193Global_Google DSAPAID 116,237 $813,928 $1,208,604 +$394,676 +48.5%
10470System EDMOWN 262,496 $1,370,235 $1,755,504 +$385,270 +28.1%
13345blog Out bound計測用(リライト・新記事)OWN 74,786 $562,382 $831,614 +$269,232 +47.9%
2756Global_Yahoo AdsPAID 53,178 $485,148 $752,975 +$267,827 +55.2%
5109ChineseANEARN 97,615 $621,860 $872,752 +$250,891 +40.3%
9582Retargeting Product ViewOWN 86,033 $710,015 $931,308 +$221,293 +31.2%
11472Global_Google TTD AdsPAID 58,206 $315,815 $525,580 +$209,765 +66.4%
18463TW_Google regional DSAPAID 55,455 $401,976 $587,114 +$185,139 +46.1%
3789SHOPBACKTWEARN 393,649 $2,698,370 $2,880,925 +$182,555 +6.8%
11798Google Things to doEARN 76,816 $325,433 $503,244 +$177,811 +54.6%
4190Global_Facebook DATPAID 61,681 $529,881 $699,910 +$170,029 +32.1%
11132MKT KR_Naver ShoppingPAID 53,530 $265,147 $417,168 +$152,021 +57.3%
10264ImpactEARN 37,953 $319,964 $464,964 +$145,000 +45.3%

First → Last 渠道流向矩陣

Device Journey 中 2+ 觸點訂單的跨渠道轉換路徑

資料來源與計算方式
SQL 查詢
WITH base AS (
    SELECT gross_profit,
           device_journey_detail_adj[OFFSET(0)].channel AS first_ch,
           device_journey_detail_adj[OFFSET(ARRAY_LENGTH(device_journey_detail_adj) - 1)].channel AS last_ch
      FROM `dw_analysis_record.kkday_order_cid_journey_action`
     WHERE ARRAY_LENGTH(device_journey_detail_adj) >= 2
)
   SELECT first_ch, last_ch, COUNT(*) AS orders, ROUND(SUM(gross_profit), 2) AS profit
     FROM base
 GROUP BY 1, 2

Raw Match Status(_adj 補齊前的一致性)

raw user_journey 的 Last Touch CID 與訂單系統 affiliate_cid 的比對(_adj 前)

比對結果訂單數佔比意涵
一致6,118,502 53.2%Journey Last CID = 訂單 CID
兩邊皆無 CID4,289,028 37.3%Journey 最後為 ORGANIC,訂單無 CID
僅 Journey 有 CID727,229 6.3%Journey 有 CID,訂單無 CID
僅訂單系統有 CID199,759 1.7%Journey 最後為 ORGANIC,但訂單有 CID(_adj 補齊)
歸因不同渠道159,884 1.4%Journey 有 CID 但與訂單不同(_adj 補齊)
資料來源與計算方式
SQL 查詢
   SELECT CASE user_match_status
              WHEN 'exact_match' THEN '一致'
              WHEN 'both_null' THEN '兩邊皆無 CID'
              WHEN 'order_only' THEN '僅訂單系統有 CID'
              WHEN 'journey_differs' THEN '歸因不同渠道'
              WHEN 'journey_only' THEN '僅 Journey 有 CID'
              ELSE user_match_status
          END AS status_label,
          COUNT(*) AS orders
     FROM `dw_analysis_record.kkday_order_cid_journey_action`
 GROUP BY 1
 ORDER BY orders DESC
原始查詢結果
status_label orders
一致 6118502
兩邊皆無 CID 4289028
僅 Journey 有 CID 727229
僅訂單系統有 CID 199759
歸因不同渠道 159884

跨裝置行為分析

各平台的旅程特性差異(僅含有 Journey 的訂單)

資料來源與計算方式
SQL 查詢
   SELECT action_platform,
          ROUND(AVG(COALESCE(ARRAY_LENGTH(user_journey_detail_adj), 0)), 2) AS avg_journey_len,
          ROUND(100.0 * COUNTIF(ARRAY_LENGTH(user_journey_detail_adj) >= 2
              AND (SELECT COUNT(DISTINCT t.channel) FROM UNNEST(user_journey_detail_adj) t) > 1)
              / NULLIF(COUNTIF(ARRAY_LENGTH(user_journey_detail_adj) >= 1), 0), 1) AS cross_channel_pct
     FROM `dw_analysis_record.kkday_order_cid_journey_action`
    WHERE action_platform IS NOT NULL
 GROUP BY 1
 ORDER BY avg_journey_len DESC
原始查詢結果
action_platform avg_journey_len cross_channel_pct
ANDROID 8.00 58.8
WEB 7.72 50.0
IOS 4.30 47.8
MWEB 2.01 20.0

日趨勢:Journey 覆蓋率與跨渠道佔比

追蹤 MTA 數據品質的穩定性

資料來源與計算方式
SQL 查詢
   SELECT CAST(order_create_date_tw AS DATE) AS dt,
          ROUND(100.0 * COUNTIF(ARRAY_LENGTH(user_journey_detail_adj) >= 1) / COUNT(*), 1) AS coverage_pct,
          ROUND(100.0 * COUNTIF(ARRAY_LENGTH(user_journey_detail_adj) >= 2
              AND (SELECT COUNT(DISTINCT t.channel) FROM UNNEST(user_journey_detail_adj) t) > 1)
              / NULLIF(COUNTIF(ARRAY_LENGTH(user_journey_detail_adj) >= 1), 0), 1) AS cross_ch_pct
     FROM `dw_analysis_record.kkday_order_cid_journey_action`
 GROUP BY 1
 ORDER BY 1

分析方法說明

本報告使用 40/20/40 Position-Based Attribution 模型。

  • 資料範圍:2025-01-01 ~ 2026-03-07
  • MTA 歸因:1 觸點 = First 100%;2 觸點 = 各 50%;3+ 觸點 = First 40% + Middle 20% + Last 40%。
  • Last-Click 歸因:gross_profit 100% 歸屬 last touch channel。
  • ORGANIC 渠道:action 中 CID 為 NULL 的行為標記為 ORGANIC。
  • 無旅程訂單:4,289,027 筆(37.3%)無 action 匹配,不參與歸因。
  • 金額欄位:coupon_adj_order_profit(毛利)。