SELECT
pt,
COUNT(DISTINCT IF(event_type='impression' AND element_id='sp_super_deals_popup', client_id, NULL)) AS popup_impr_uv,
COUNT(DISTINCT IF(event_type='click' AND element_id='explore_super_deals', client_id, NULL)) AS explore_click_uv,
COUNT(DISTINCT IF(event_type='click' AND element_id='product_card', client_id, NULL)) AS product_click_uv,
COUNT(DISTINCT IF(event_type='close' AND element_id='close_button', client_id, NULL)) AS close_uv,
COUNT(DISTINCT IF(event_type='close' AND element_id='maybe_next_time', client_id, NULL)) AS snooze_uv
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene = 'Superdeals_Guide'
AND version >= '6.20.59'
AND pt BETWEEN '2026-05-26' AND '2026-06-14'
GROUP BY pt
ORDER BY pt;
-- 前 10 天累计曝光 UV
SELECT COUNT(DISTINCT client_id) AS popup_impr_uv
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene = 'Superdeals_Guide'
AND event_type='impression' AND element_id='sp_super_deals_popup'
AND version >= '6.20.59' AND pt BETWEEN '2026-05-26' AND '2026-06-04';
-- → 44,854
-- 后 10 天累计曝光 UV
SELECT COUNT(DISTINCT client_id) AS popup_impr_uv
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene = 'Superdeals_Guide'
AND event_type='impression' AND element_id='sp_super_deals_popup'
AND version >= '6.20.59' AND pt BETWEEN '2026-06-05' AND '2026-06-14';
-- → 53,083
-- 20 天联合查询会 504/fetch failed
-- 商品卡 extra.click_id ↔ 订单 tracking_id 严格关联
-- 20 天窗口必超时,按 5 天分段后累加(订单/GMV/Commission 可加,UV 段间有重复)
SELECT '5/26-5/30' AS window_, COUNT(*) AS orders, COUNT(DISTINCT guid) AS uv,
SUM(sales) AS gmv, SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-05-26' AND '2026-06-14'
AND tracking_id IN (
SELECT SUBSTRING(extra, LOCATE('"click_id": "', extra) + 13, 32) AS click_id
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene = 'Superdeals_Guide'
AND event_type = 'click'
AND element_id = 'product_card'
AND version >= '6.20.59'
AND pt BETWEEN '2026-05-26' AND '2026-05-30' -- 改这里跑其他段
);
-- → 122 单 / 107 UV / GMV $107.59 / Commission $8.85
-- 其他 4 段 SQL 改 pt 范围即可
4.3 B 路径:Explore → coupert.com/super-deals 落地页 → 出站(限定 Explore 用户)
-- 限定 Explore 点击用户 + click_type='WEB_DEALS_RECOMMEND' 反查
-- 因为 Explore interacted_id 不会成为订单 tracking_id(落地页无 click_id 字段)
-- 只能用用户级反查
SELECT '5/26-5/30 B' AS window_, COUNT(*) AS orders, COUNT(DISTINCT guid) AS uv,
SUM(sales) AS gmv, SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-05-26' AND '2026-06-14'
AND click_type = 'WEB_DEALS_RECOMMEND'
AND guid IN (
SELECT DISTINCT client_id FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene='Superdeals_Guide' AND event_type='click' AND element_id='explore_super_deals'
AND version >= '6.20.59' AND pt BETWEEN '2026-05-26' AND '2026-05-30' -- 改这里
);
-- → 27 单 / 20 UV / GMV $87.36 / Commission $4.88
-- 其他 3 段 SQL 改 pt 范围即可
SELECT
COUNT(*) AS orders,
COUNT(DISTINCT guid) AS converter_uv,
SUM(sales) AS gmv,
SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-05-26' AND '2026-06-14'
AND click_type = 'AD_SP_RECOMMEND_WINDOW'
AND domain NOT LIKE '%amazon%';
-- → 61 单 / 38 UV / GMV $1,080.82 / Commission $30.57
-- 单日处理组的卸载严格时序归因(每个曝光日单独跑后累加)
SELECT
'2026-05-29' AS popup_day,
COUNT(DISTINCT impr.guid) AS treatment_uv,
COUNT(DISTINCT u.client_id) AS all_uninstall,
COUNT(DISTINCT IF(u.access_at > impr.first_popup_at, u.client_id, NULL)) AS strict_attr_uninstall
FROM (
SELECT client_id AS guid, MIN(access_at) AS first_popup_at
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene='Superdeals_Guide' AND event_type='impression' AND element_id='sp_super_deals_popup'
AND version >= '6.20.59' AND pt='2026-05-29'
GROUP BY client_id
) impr
LEFT JOIN v_dwd_log_parse_event_analytics_log_di u
ON impr.guid = u.client_id
AND u.scene = 'uninstall_feedback_after' AND u.event_type='impress'
AND u.pt >= '2026-05-26';
-- 实测样本:5/29 严格归因 4/7 (57%) / 5/31 6/9 (67%) / 6/01 7/8 (88%) → 均值 ~70%
-- 20 天累计 46 × 70% ≈ 32 严格归因卸载 / 44,854 = 0.071%
-- DiD 对照组卸载率:546(G2 命中卸载)- 32 = 514 / 369,700 = 0.139%
7. 对大盘曝光/点击的影响
7.1 SuperDeals 弹窗不计入大盘 service 漏斗
验证项
结果
大盘 extension_service_impress scene 字典
列出 30+ scene,无 Superdeals_Guide
大盘 extension_service_click scene 字典
同上
scene LIKE '%uperdeals%' impress 表
0 行
结论:SuperDeals 弹窗(Superdeals_Guide)走独立的 event_analytics 事件流,不进大盘 CB/AT service 曝光/点击表,不抢占其他服务曝光机会。
SELECT pt, COUNT(DISTINCT guid) AS impr_uv
FROM v_dwd_log_parse_extension_service_impress_di
WHERE pt BETWEEN '2026-05-19' AND '2026-06-04'
AND type IN ('CB','AT')
GROUP BY pt
ORDER BY pt;
-- 同理换 v_dwd_log_parse_extension_service_click_di 跑点击
SELECT
client_id,
access_at,
SUBSTRING(extra, LOCATE('"click_id": "', extra) + 13, 32) AS click_id
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene = 'Superdeals_Guide'
AND event_type = 'click'
AND element_id = 'product_card'
AND version >= '6.20.59'
AND pt >= '2026-05-26';
-- 商品卡 click_id ↔ dwd_log_event_outbound_result_det_d.tracking_id 精确归因
-- click_id ↔ dwd_trd_user_orders_di.tracking_id 精确订单归因
-- 含 Amazon
SELECT COUNT(*) AS orders, COUNT(DISTINCT guid) AS uv,
SUM(sales) AS gmv, SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-06-01' AND '2026-06-25'
AND click_type = 'AD_SP_RECOMMEND_WINDOW';
-- → 433 单 / 354 UV / GMV $1,634.64 / Commission $70.13
-- 排 Amazon
SELECT COUNT(*) AS orders, COUNT(DISTINCT guid) AS uv,
SUM(sales) AS gmv, SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-06-01' AND '2026-06-25'
AND click_type = 'AD_SP_RECOMMEND_WINDOW'
AND domain NOT LIKE '%amazon%';
-- → 115 单 / 68 UV / GMV $1,634.64 / Commission $40.62
📋 B 路径 SQL(限定 Explore 用户,5 天分段标准模板)
-- B 路径限定 Explore,按 5 天 click pt 分段(25 天全窗口 IN 子查询必 504)
SELECT '6/01-6/05 B' AS w, COUNT(*) AS orders, COUNT(DISTINCT guid) AS uv,
SUM(sales) AS gmv, SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-06-01' AND '2026-06-25'
AND click_type = 'WEB_DEALS_RECOMMEND'
AND guid IN (
SELECT DISTINCT client_id FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene='Superdeals_Guide' AND event_type='click' AND element_id='explore_super_deals'
AND version >= '6.20.59' AND pt BETWEEN '2026-06-01' AND '2026-06-05' -- 改这里跑其他段
);
-- 其他 4 段 SQL 改 pt 范围即可
-- 排 Amazon 版加 AND domain NOT LIKE '%amazon%'
11. 佣金为何这么低?商家结构 + 教育效应深度拆解
11.1 排 Amazon 后 167 单仅 $59 commission 的 4 个根因
类型
订单占比
Commission 占比
说明
真高费率 CPS(ulta / etsy / teepublic / autodesk 等)
4%
49%
但只有零星几单,是收益主力
ebay 系(混合 CPS + bounty)
26%
27%
部分 sales 有,部分 0
Type A bounty(whatnot/walmart/dell 等 lead 商家)
24%
17%
非 Amazon 也有大量 bounty,lead fee 性质
其他长尾
46%
7%
客单价低
4 个根因汇总:
Type A bounty 商家仍多(whatnot 28 单 commission 只 $6.53,lead fee $0.23/单)
SELECT domain, COUNT(*) AS orders, SUM(commission) AS commission
FROM dwd_trd_user_orders_di
WHERE create_date BETWEEN '2026-06-01' AND '2026-06-25'
AND click_type = 'AD_SP_RECOMMEND_WINDOW'
AND domain NOT LIKE '%amazon%'
GROUP BY domain
ORDER BY commission DESC
LIMIT 20;
-- 弹窗前 14 天用过 SuperDeals 落地页(6/15 曝光用户为基准)
SELECT
COUNT(DISTINCT impr.guid) AS popup_impr_uv,
COUNT(DISTINCT lp.client_id) AS used_before_popup_uv
FROM (
SELECT DISTINCT client_id AS guid
FROM v_dwd_log_parse_event_analytics_log_di
WHERE scene='Superdeals_Guide' AND event_type='impression' AND element_id='sp_super_deals_popup'
AND version >= '6.20.59' AND pt = '2026-06-15'
) impr
LEFT JOIN v_dwd_log_parse_event_analytics_log_di lp
ON impr.guid = lp.client_id
AND lp.url LIKE '%coupert.com/super-deals%'
AND lp.pt BETWEEN '2026-06-01' AND '2026-06-14';
-- → 8,336 / 620 (7.4%)
-- 弹窗后 10 天访问 SuperDeals 落地页(同基准,改 lp.pt 窗口)
-- AND lp.pt BETWEEN '2026-06-15' AND '2026-06-25'
-- AND lp.access_at > impr.first_popup_at -- 严格时序
-- → 8,336 / 595 (7.1%)