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思略特:2025个性化战略势在必行:人工智能营销赋能电信业增长研究报告(英文版)(16页).pdf

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1、The personalization imperativeDriving telecom growth with AI-powered marketingContactsDubaiTarek MatarPartner+971-4-436-GP SinghPartner+971-4-436-3000 Ankit KushwahaPrincipal+971-4-436-RiyadhMahmoud MakkiPartner+966-11-249-GP Singh is a partner with Strategy&Middle East.Based in Dubai,he is a member

2、 of the telecommunications,media,technology,and digital practice in the Middle East.He has nearly 25yearsofexperiencerunningconsumerbusinessprofit-and-lossaccountsandadvisingC-suiteexecutivesintheAsia-Pacificregion,theMiddleEastandNorthAfricaregion,andtheUnitedKingdom.Hespecializesinproductmarketmix

3、strategies,salesandservicestrategies,customervaluemanagement,anddigitalgrowthagendasetting.Mahmoud Makki isapartnerwithStrategy&MiddleEast,partofthePwCnetwork.BasedinRiyadh,he is a member of the telecommunications,media,technology,and digital practice in the MiddleEast.Hehasover20yearsofindustryandc

4、onsultingexperienceworkingonlarge-scalecommercialtransformation,consumergo-to-marketstrategydevelopment,andregulatoryagendamanagement.Healsoadvisestelecomoperatorsandpolicymakersonnational broadband strategies.Tarek Matar is a partner with Strategy&Middle East.Based in Dubai,he is a member of the te

5、lecommunications,media,and technology practice in the Middle East.He has nearly 15 years of strategyconsultingexperience.Headvisestelecomoperators,mediaentities,anddigitalplayersonlarge-scale strategic and transformation projects across their entire business construct.He focuses on commercial consum

6、er-facing strategies and business transformations,business-to-business informationandcommunicationstechnologiesscale-up,digitalandover-the-topstrategies,andlarge-scale program management.Ankit Kushwaha is a principal with Strategy&Middle East.Based in Dubai,he is a member of thetelecommunications,me

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本文主要讨论了电信运营商如何利用人工智能(AI)和数据驱动的营销策略来提高客户价值和市场竞争力。文章指出,电信运营商拥有比其他行业更丰富和广泛的数据集,包括实时位置数据、使用模式和客户服务互动,但通常只利用了30至50%的数据。通过建立一个AI驱动、数据燃料的营销引擎,可以解锁个性化营销和客户价值管理的潜力,从而提高收入、加深客户关系和创造竞争优势。文章提出,这样的引擎可以产生新的收入流,加深客户关系,并创造竞争优势,每投入1美元可以产生高达5.90美元的EBITDA(息税折旧摊销前利润)。文章还详细介绍了建立这样一个引擎的四个层次:数据基础、认知营销核心、价值池和激活,并强调了这些层次之间的协调。最后,文章建议电信运营商采取一系列步骤来实施AI驱动、数据燃料的营销,包括逐步建立360度客户视图、整合营销技术堆栈、投资AI和高级分析能力、采用敏捷、跨职能的运营模式等。
电信运营商如何利用AI实现个性化营销? 数据驱动的AI营销如何为电信运营商创造价值? 电信运营商如何构建AI驱动的数据营销引擎?
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