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Salesforce:2024年市场营销状况报告(第九版)(中译版)(39页).pdf

上传人: Kell****reet 编号:171440 2024-08-09 39页 24.69MB

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1、SALESFORCE2STATE OF MARKETING,9TH EDITIONAriel Kelman President&Chief Marketing OfficerSalesforceWere in a new wave of the artificial intelligence revolution catalyzed by the generative AI gold rush and marketers are leading the charge by embracing rapid advancements in the technology to better conn

2、ect with customers and prospects.But AI isnt just marketers biggest priority.Its also their biggest challenge.A strong data foundation is critical to AI success for marketers as they work to bring together customer data for real-time activation.Thats what we found in our ninth State of Marketing rep

3、ort,which surveyed marketing leaders worldwide to understand the biggest trends,priorities,and challenges affecting marketers today.To help navigate a rapidly evolving landscape,the report also uncovers:How marketing budgets address technological needs Where marketers pull data to deepen customer un

4、derstanding and power AI engines The most common ways marketers incorporate predictive and generative AI into their work streams and some of the biggest concerns they have about getting it right.I hope you find this report a helpful guide to navigating this new era of marketing.ForewordA note to mar

5、keters from Salesforces CMO4,850 marketerssurveyed worldwideSALESFORCE3STATE OF MARKETING,9TH EDITIONFor the ninth edition of our State of Marketing report,Salesforce surveyed nearly 5,000 marketers worldwide to discover how marketers:Evaluate the rise of artificial intelligence(AI)and implementing

6、it in their operations Approach their data acquisition,maintenance,and application strategies Ensure customer trust and security as vulnerabilities increaseUnless cited otherwise,data in this report is from a double-anonymous survey conducted from February 5th to March 12th,2024.The survey generated

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根据报告的内容,本文主要概括了以下几个关键点: 1. 营销人员正在利用人工智能(AI)来提高效率和个性化水平,但同时也面临着数据整合和客户信任的挑战。 2. 营销人员使用平均9种不同的策略来收集数据,包括客户服务数据、交易数据、忠诚度计划等,以更好地理解客户。 3. 尽管大多数营销团队至少部分地整合了数据,但只有31%的营销人员对整合客户数据源的能力感到完全满意。 4. 营销人员正在积极采用AI,但高绩效者比低绩效者更有可能完全实施AI。 5. 营销人员计划使用预测性AI和生成性AI来自动化客户互动、生成内容、分析性能等。 6. 尽管营销人员对AI的采用和整合持积极态度,但他们在完全个性化、统一分析、客户关系等方面仍有改进空间。
营销人员如何利用AI提高客户参与度? 营销人员如何建立客户信任以成功实施AI? 营销人员如何利用数据统一分析提高效率?
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