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MMA&安永:2025个性化营销现状报告(英文版)(41页).pdf

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1、State ofPersonalizationAnnual Marketer SurveyNovember 2025ForewordAs we enter 2025,personalization is more criticaland more urgentthan ever as brands grapple with mounting pressure to meet soaring consumer expectations for tailored,seamless experiences across every touchpoint.The 2025 State of Perso

2、nalization Report,published by MMA MMA GlobalGlobal in collaboration with MonksMonks provides a comprehensive analysis of how marketing leaders are navigating personalizations complexities and charting its future.Drawing insights from over 115 senior marketing executives at large,established compani

3、es,this report captures a holistic view of personalization:its adoption,execution(manual vs.automated),measurement challenges,leadership dynamics,and evolving trends in content personalization.As the findings reveal,the push for personalization is ambitious and widespread,but progress is unevenmarke

4、d by both promising advancements and persistent roadblocks.Many organizations report progress,but significant gaps remain in scaling efforts and accurately measuring ROI.CMO leadership continues to be a critical driver of success because of higher investments in advanced data infrastructure,AI,and i

5、nternal capabilitiesas well as a stronger culture of collaboration and integration.And yet,automation gaps persist,with many marketers still relying heavily on manual processes despite having ambitious personalization goals.As demand for personalized content grows,especially across social platforms,

6、marketers face increasing pressure to scale their efforts efficiently.Many are turning to AI and enhanced data infrastructure to overcome these challenges,but concerns about quality,consistency and resources remain obstacles to full-scale automation.These findings underscore a critical reality:To un

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1. **个人化现状与差距**:60%营销机构已建立个人化能力,但过度依赖手动流程(52%手动定制创意资产),平均活动提升仅约+24%,规模化与ROI测量仍存挑战。 2. **内容个性化需求**:社交平台(53%优先级)和视频(34%需显著更多时间定制)是重点,但自动化程度低,资源约束(54%)是主要障碍。 3. **领导力与技术投资**:50%企业由CMO直接领导个人化战略,其组织更倾向内部数据管理(67%先进系统)及AI/ML技术投资,并推动跨团队协作。 4. **未来方向**:优先提升数据整合(41%)、AI内容生成(52%)及人才技能(46%),以解决规模化瓶颈。
**个性化现状如何?** **内容定制难在哪?** **AI如何助力营销?**
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