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
📋 A 路径精确归因 SQL(click_type = 'AD_SP_RECOMMEND_WINDOW')
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';
-- → 371 单 / 330 UV / GMV $1,080.82 / Commission $54.43
4.2 B 路径:Explore → coupert.com/super-deals 落地页 → 出站
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 '2026-06-04' -- D+10 时跑通
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 '2026-06-04'
);
-- → 42 单 / 36 UV / GMV $872.15 / Commission $9.89
-- 20 天扩展版会超时,需要按 10 天分段查询后合并去重
4.3 A∪B 去重合计(含 Amazon)
真增量订单
~450-470
A 371 + B 估 80-100
转化 UV 去重
~380-400
重叠 ≈ 0(实测)
总 Commission
~$80-90
A $54.43 + B 估 $25-35
5. ★ 排除 Amazon 系后的真购物增量
核心问题:Amazon/ebay 等 Type A bounty 商家 sales 字段天然 $0,commission 是固定 lead fee(~$0.04-0.15/单)。这些"虚高"订单数会掩盖真实购物 CVR。分析 SP 弹窗真增量必须按 Amazon vs 非 Amazon 拆分。
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