{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":392,"pdf_page":408,"physical_index":408,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"bb4b4c93068e3da8e4dc61678349997df5144a52679e8057a38a1864b893abbe"},"chapter":"第12章","content":"12.3.3 漏斗思维\n\n漏斗思维（见图12-2）已经普及，注册转化、购买流程、销售管道、浏览路径等太多的分析场景中能找到这种思维的影子。但是，看上去越是普世(所有人都认同）越是容易理解的模型，它的应用越得谨慎和小心。在漏斗思维中，我们尤其要注意“漏斗的长度”。\n\n漏斗从哪里开始，到哪里结束？以我们的经验，漏斗的环节不该超过5个，且漏斗中各个环节的百分比数值的量级不要超过100倍（漏斗第一环节以100%开始，到最后一个环节的转化率数值不要低于1%）。若超过了这两个数值标准，建议分为多个漏斗进行观察。超过5个环节，往往会出现多个重点环节，在一个漏斗模型中分析多个重要问题容易产生混乱。数值量级差距过大，数值间波动的相互关系很难被察觉，容易遗漏信息。比如，漏斗前面的环节从60%变到50%，让你感觉是天大的事情，而漏斗最后的环节0.1%的变动不能引起你的注意，可往往漏斗最后这0.1%的变动是非常致命的。\n\n12.3.4 逻辑树思维\n\n如图12-3所示为树状逻辑。一般说明逻辑树的分叉时，都会提到“分解”和“汇总”的概念。在这里可以把它变一变，使其更贴近数据分析，称为“下钻”和“上卷”。所谓下钻，就是在分析指标的变化时，按一定的维度不断地分解。比如，按地区维度，从大区到省份，从省份到城市，从省市到区。所谓上卷，就是反过来。随着维度的下钻和上卷，数据会不断细分和汇总，在这个过程中，我们往往能找到问题的根源。\n\n人工智能与大数据技术导论\n\n392","previous_page":391,"next_page":393}