两臂都覆盖的 144 个 AT-off 商家。分子/分母均标注。
| 指标 | 实验组 | 对照组 | 差异 |
|---|---|---|---|
| Service Click Rate 全服务点击UV ÷ 全服务曝光UV |
74.3% 388 / 522 |
67.4% 481 / 714 |
+6.9pp |
| SP Order Rate (%SP) 有订单UV ÷ SP池用户UV |
33.8% 75 / 222 |
34.2% 110 / 322 |
−0.4pp(持平) |
人群包用户 × 当天 AT 关闭的商家(按天判定,AT-off 商家集每天 267~587 不等)× 在这些商家上的服务曝光/点击。区别于第一节的"144 固定交集"——这里是**所有 AT-off 商家、按天对齐**。
| 日期 | 当天AT-off商家 | 实验 点击/曝光 | 实验CR | 对照 点击/曝光 | 对照CR |
|---|---|---|---|---|---|
| 06-06 | 385 | 112/230 | 48.7% | 118/315 | 37.5% |
| 06-07 | 453 | 134/288 | 46.5% | 150/348 | 43.1% |
| 06-08 | 564 | 160/377 | 42.4% | 201/458 | 43.9% |
| 06-09 | 587 | 194/376 | 51.6% | 205/466 | 44.0% |
| 06-10 | 524 | 183/359 | 51.0% | 202/456 | 44.3% |
| 06-11 | 430 | 167/331 | 50.5% | 175/427 | 41.0% |
| 06-12 | 332 | 146/320 | 45.6% | 144/385 | 37.4% |
| 06-13 | 267 | 113/235 | 48.1% | 111/283 | 39.2% |
| 合计 | — | 1209/2516 | 48.1% | 1306/3138 | 41.6% |
| SP Order Rate (144) | 实验 | 对照 | 差异 |
|---|---|---|---|
| 截至 06-10(订单未熟 ❌) | 27.4% | 32.2% | −4.8pp |
| 截至 06-14(T+4 成熟 ✅) | 33.8% | 34.2% | −0.4pp |
日口径=当天点击/曝光、当天订单/SP用户(天然低于累计 74.3%/33.8%)。卸载每天 0-2/天,全窗实验 6/603=1.0%、对照 9/855=1.1%,无差异。
| 日期 | 实验 Click | 对照 Click | 实验 Order | 对照 Order |
|---|---|---|---|---|
| 06-06 | 40.1% 79/197 | 30.9% 76/246 | 25.6% 10/39 | 18.2% 10/55 |
| 06-07 | 42.7% 82/192 | 39.2% 93/237 | 24.5% 12/49 | 29.8% 17/57 |
| 06-08 | 34.2% 95/278 | 36.2% 112/309 | 18.3% 11/60 | 28.4% 19/67 |
| 06-09 | 43.5% 114/262 | 36.9% 116/314 | 13.0% 9/69 | 29.6% 24/81 |
| 06-10 | 42.1% 115/273 | 34.8% 112/322 | 29.9% 20/67 | 22.6% 19/84 |
| 06-11 | 41.0% 105/256 | 38.7% 127/328 | 28.8% 15/52 | 23.6% 21/89 |
| 06-12 | 43.6% 103/236 | 42.0% 121/288 | 30.2% 19/63 | 24.4% 20/82 |
| 06-13 | 39.4% 74/188 | 39.2% 98/250 | 20.0% 9/45 | 23.9% 17/71 |
| 环节 | 口径 |
|---|---|
| 实验组 | AT 弹窗 impress + 包标识 + style='6.30.10-2' + lever.at_popup='Off'(真穿透)+ version≥6.30.10 |
| 对照组 | 不曝光 reason='AT Popup Lever Off' ∩ 人群包 + version∈≥6.30.10集 |
| Service Click Rate | kpis 全服务:click_kpis 去重UV ÷ impress_kpis 去重UV(含 AT/CB/PCP/XF/CC/UGC/AD,对齐后端 56% 量级) |
| SP Order Rate (%SP) | journey SP 池:有订单(cp_order_ids)UV ÷ SP用户UV(aff_id>0 AND cps_score>40) |
at_high_value_package_user 打在包用户所有 AT 弹窗上;必须叠加 lever.at_popup='Off' 才是真穿透(曝光 1224→真穿透)。DB35 (StarRocks)。JSON 用 get_json_object;版本号数值化比较 major*1e6+minor*1e3+patch。
SELECT DISTINCT guid
FROM v_dwd_log_parse_extension_service_impress_di
WHERE pt BETWEEN '2026-06-06' AND '2026-06-13'
AND type='AT' AND scene='Popup'
AND get_json_object(extra,'$.at_high_value_package_user')='true'
AND get_json_object(extra,'$.at_high_value_package_user_style')='6.30.10-2'
AND get_json_object(extra,'$.lever.at_popup')='Off' -- ★真穿透
AND (CAST(split_part(version,'.',1) AS INT)*1000000
+ CAST(split_part(version,'.',2) AS INT)*1000
+ CAST(split_part(version,'.',3) AS INT)) >= 6030010; -- ★≥6.30.10SELECT DISTINCT z.guid FROM (
SELECT ns.guid, get_json_object(ns.extra,'$.reason') AS reason
FROM v_dwd_cp_log_impress_other_log_di ns
INNER JOIN (SELECT DISTINCT guid FROM dws_dmp_guid_group_di
WHERE group_id=100000414) p ON p.guid=ns.guid -- 先join人群包再解析JSON(避免209万行/天全表JSON超时)
WHERE ns.source=1 AND ns.pt BETWEEN '2026-06-06' AND '2026-06-13'
AND ns.action='notshow' AND ns.category='at_popup'
AND ns.version IN ('6.30.12','6.30.16','6.30.19','6.30.22','6.30.49','6.30.69') -- ≥6.30.10存在版本
) z WHERE z.reason='AT Popup Lever Off';-- 曝光(分母);点击(分子)把 impress_kpis→click_kpis / impress_date→click_date SELECT COUNT(DISTINCT ik.guid) AS impr_full, COUNT(DISTINCT CASE WHEN ik.domain IN (<144商家>) THEN ik.guid END) AS impr_144 FROM dws_log_domain_guid_extension_impress_kpis_d ik INNER JOIN (<队列 guid 子查询>) c ON c.guid=ik.guid WHERE ik.impress_date BETWEEN '2026-06-06' AND '2026-06-13'; -- Service Click Rate = click_uv / impr_uv(全服务,不按 type 过滤)
SELECT
COUNT(DISTINCT j.guid) AS sp_user_full, -- 分母
COUNT(DISTINCT CASE WHEN array_length(j.cp_order_ids)>0 THEN j.guid END) AS order_user_full, -- 分子
COUNT(DISTINCT CASE WHEN j.domain IN (<144商家>) THEN j.guid END) AS sp_user_144,
COUNT(DISTINCT CASE WHEN array_length(j.cp_order_ids)>0
AND j.domain IN (<144商家>) THEN j.guid END) AS order_user_144
FROM dws_log_sp_user_shopping_journey_detail_di j
INNER JOIN (<队列 guid 子查询>) c ON c.guid=j.guid
WHERE j.pt BETWEEN '2026-06-06' AND '2026-06-13'
AND j.aff_id > 0 AND j.cps_score > 40; -- ★SP池
-- SP Order Rate = order_user / sp_user实验穿透商家(distinct domain, lever off) ∩ 对照 leveroff 商家(distinct domain) = 144 交集
数据源 Metabase db35(StarRocks / soar_dw)。结论以 144 同商家口径为准。