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凯捷:生成式人工智能在营销中的有效投资(英文版)(22页).pdf

上传人: AG 编号:606343 2024-01-01 22页 1.77MB

1、Effective investment in generative AI for marketingIntroductionGenerative AIs capabilities in improving how content is created and distributed are rapidly evolving.But can marketers leverage generative AI to meet their customers ever-growing personalization demands while keeping costs low?We believe

2、 they can,and our recent research has revealed that almost 60%of organizations have already implemented or are exploring generative AI in marketing,with nearly 80%having allocated budget to integrate it into their marketing initiatives in 2024 or expressed plans to do so.1 Read on as we weigh the op

3、portunities,challenges,and potential benefits to assess whether investing in generative AI is worth your time,energy,and resources.60%of organizations have already implemented or are exploring generative AI in marketing.1 https:/ investment in GenAI for marketingTapping the augmented content creatio

4、n and management opportunity Its no secret that the broad-segment marketing approach that was once so popular has all but lost its shine.Marketing efforts that focused on overarching demographics and channels,such as TV ads aimed at a general age range,have evolved to address individual customer pre

5、ferences and needs for always relevant and always personalized content or at least thats the gold standard of where marketing desires to be.According to a Salesforce report,The State of the Connected Customer,73%of customers now expect companies to understand their unique wants and needs(up from 66%

6、in 2020).2 As we welcome new ways,habits,and places for commerce and consider the insatiable customer demand for increasingly personalized messaging all B2C and B2B marketing organizations must ask themselves if theyre equipped to create and manage the explosion of content theyll need to delight and

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本文主要讨论了在营销中有效投资生成式AI(Generative AI)的重要性。文章指出,近60%的组织已经在营销中实施了生成式AI,近80%计划在2024年或之后将其整合到营销计划中。生成式AI能够帮助组织快速创建个性化的文本、图像、视频和声音,以满足客户对个性化内容的需求。然而,组织在采用生成式AI时也面临一些挑战,如员工对AI可能取代人类工作的担忧,以及数据管理和品牌一致性等问题。为保证成功,组织应采取平衡的视角,谨慎地进行实验,并寻求专业顾问的帮助。总体而言,生成式AI为营销提供了巨大的机遇,但需要谨慎地将其整合到现有流程中。
营销人员如何利用生成式AI提高内容创作效率? 生成式AI在营销领域的应用有哪些挑战和机遇? 如何确保生成式AI在营销中的应用既安全又有效?
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