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扫雪车:利用第一方客户数据彻底改变您的客户互动策略.pdf

上传人: 2*** 编号:139148 2023-06-04 23页 5.29MB

1、Revolutionize your Customer Engagement With First Party Customer DataDatabricks2023Hello Im Yali!Data enthusiast Worked in data all my career Back in 2012 I got very excited about the possibilities around 1st party customer data.This led me to co-found Snowplow,where I am CPO 11 years later-Im still

2、 very excited about 1st party customer data!So what is Snowplow?Create 1st party customer data for AI and analyticsAI is changing the way we,consumers,do everythingWe all very different from one anotherAnd our intentions vary enormously over timeAI offers us as businesses the ability to recognize th

3、ose differences and personalize experiences accordingly.Consumers want personalization of consumers expect companies to deliver personalized interactionsof consumers get frustrated when shown/recommended products that are not relevantof consumers are more likely to make repeat purchases from compani

4、es that personalize71%76%78%Source:Mckinsey 2021,The value of getting personalization right-or wrong-is multiplyingPersonalization depends on dataMore data beats clever algorithms,but better data beats more dataPeter Norvig1st party customer data is high performance fuel for personalizationIt is exp

5、lanatory,predictive,and tells us about user intention over timeSearch for renters Insurance on Google on iPhone 13 Pro in AustinView products categoryScroll 50%Toggle filter for renters insuranceOpen 2 coverages in new tabsScroll to price on tab 2 and close pageCycle through options on other tabsAdd

6、 coverage from tab 1 to basketNo activity until next monthOpen homepageEnter claim for water damageRate 5 star experienceCheckout with coverageRenews next yearSo what does a solid data foundation for personalization look like?This enables rapid feature engineeringEvent IDCustomer IDSeg 1Seg 2Seg 3Se

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本文主要探讨了如何利用第一方客户数据革命化客户参与度。文章指出,人工智能正在改变我们的一切,而第一方客户数据是个性化的高性能燃料。71%的消费者期望公司提供个性化的互动,而76%和78%的消费者分别对不相关的产品展示/推荐感到沮丧。文章提出,一个坚实的数据基础应包括事件ID、客户ID等,并可以通过不同的方式对客户旅程进行新的分割,从而在多个点上引入个性化。文章强调,应投资于第一方客户数据,使用Snowplow和Databricks建立数据基础,然后在此基础上构建客户理解,并使用这些特征来个性化客户体验。最后,文章建议从小处着手,以简单的分割和特征开始,然后衡量忠诚度、收入和利润,并在此过程中不断迭代和扩展。
"如何利用第一方客户数据革命化客户参与度?" "第一方客户数据如何成为个性化体验的助推器?" "如何通过投资第一方客户数据建立强大的客户理解基础?"
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