{"chunk_id": "nas-sk:abe9a34f6780:0001:0b61b3c13f8a8c4b", "chunk_seq": 1, "created_at": "2026-05-16T16:32:02+08:00", "heading": "", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "---\ntitle: 天猫淘宝京东数据分析SOP\ncategory: 电商业务SOP\ntags: [\"天猫\", \"淘宝\", \"京东\", \"数据分析\", \"TOP10\", \"跨平台\"]\nsource: Hermes 任务沉淀，经用户确认同步至 NAS 共享知识库\ncreated_at: 2026-05-16\nvisibility: studio-internal\nsafety: 不含密钥、cookie、token、私聊原文或账号凭证\n---", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0002:0001ee5ff107655f", "chunk_seq": 2, "created_at": "2026-05-16T16:32:02+08:00", "heading": "天猫淘宝京东数据分析 SOP", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "# 天猫淘宝京东数据分析 SOP", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0003:6e8de09b15e0575c", "chunk_seq": 3, "created_at": "2026-05-16T16:32:02+08:00", "heading": "基本原则", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "## 基本原则\n\n用户做天猫、淘宝、京东电商数据分析时，偏好先按平台分别汇总，再做三平台总体汇总。", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0004:6f98cec0761467e3", "chunk_seq": 4, "created_at": "2026-05-16T16:32:02+08:00", "heading": "工作表命名", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "## 工作表命名\n\nExcel 输出建议按以下 sheet：\n\n1. 天猫\n2. 淘宝\n3. 京东\n4. 三平台总体汇总\n5. 跨平台同款识别（如需要）\n6. 关键结论与亮点", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0005:6ab0fa371f7c6593", "chunk_seq": 5, "created_at": "2026-05-16T16:32:02+08:00", "heading": "商品维度保留字段", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "## 商品维度保留字段\n\n商品维度分析需保留：\n\n- 商品 ID\n- 商品名称\n- 平台\n- 支付/销售件数\n- 支付/销售金额\n- 访客数/曝光/点击等流量字段（如有）\n- 转化率、客单价、退款等指标（如有）", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0006:f6dc59e94b45d689", "chunk_seq": 6, "created_at": "2026-05-16T16:32:02+08:00", "heading": "TOP 榜输出", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "## TOP 榜输出\n\n需输出：\n\n- 支付/销售件数 TOP10\n- 支付/销售金额 TOP10\n\n按平台分别输出后，再做总体汇总。", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0007:0fc83cb3c16ec65f", "chunk_seq": 7, "created_at": "2026-05-16T16:32:02+08:00", "heading": "跨平台同款识别", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "## 跨平台同款识别\n\n跨平台同款不能只按完全相同名称匹配，应结合：\n\n- 商品名称相似度\n- 核心品类词\n- 材质/规格\n- 价格区间\n- 业务语义\n- 人工复核", "title": "天猫淘宝京东数据分析 SOP"}
{"chunk_id": "nas-sk:abe9a34f6780:0008:c721dda91c067bb5", "chunk_seq": 8, "created_at": "2026-05-16T16:32:02+08:00", "heading": "结论表达", "source_mtime": 1778911671, "source_path": "/Users/bot1/Volumes/root_for_ai/00_共享区/共享知识库/原始资料/02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_rel": "02_电商业务SOP/01_数据分析与复盘/天猫淘宝京东数据分析SOP.md", "source_sha256": "abe9a34f6780aa70c1351f84ba74c61badd16bbc2c352db656397ef4beebdea9", "text": "## 结论表达\n\n重点提炼能证明工作价值的亮点，但要客观，不夸大负向指标。", "title": "天猫淘宝京东数据分析 SOP"}