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Founder at Novela & Marketing and Managemen

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發表於 2024-2-24 17:13:33 | 只看該作者 回帖獎勵 |倒序瀏覽 |閱讀模式
CoursesResources ArticlesBlogTopicsLessonsToolkitsPresentationsVideosWebinarseBooksPodcastsGlossary PrivacyTermsMasterGA with our exclusive part Live Webinar series in partnership with Neil PatelAccel. Kicking off March th. Register Now Digital Marketing Institute LogoCoursesResources Keyword search... Sign In View Courses TrendingArticlesMicroLessonsSkills TestToolkitsWebinarseBooksPremiumMore Back to Articles Nov , AIin Digital Marketing The Ultimate Guide Articles .


Digital Marketing by DigitalMarketing Institute AI has evolved from a fantastical notion to a game-changerfor digital marketers today. It's become the secret engine driving personalizedads, predictive analytics, customer experiences, and much more. INDEX AI inDigital Marketing The Ultimate Guide What is AI in Digital Marketing? AIDigital Marketing Tools Examples of AI in Find Your Mobile Number List Digital Marketing How to Use AI inDigital Marketing What are the Pros and Cons of AI in Digital Marketing? Whatare the Most Common Skills Used in AI-Driven Digital Marketing? Conclusion: AIin Digital Marketing Use AI to elevate your digital marketing activities In thisarticle, we'll break down what AI means for digital marketing, examples of itsuse, challenges and tools not just ChatGPT!, and consider the skills you needto face it to your advantage.





AI is a tool, it's a technology. It's as usefulas the person putting it to workClark Boyd, t Professor What is AI in Digital Marketing? AI in digitalmarketing uses artificial intelligence capabilities such as data collection,natural language processing, machine learning, and data analysis to getcustomer insights and automate marketing tasks and decisions. The advantage ofAI is that it will help you gain insights into customer behaviors at speed byharvesting vast amounts of data. These can be used to respond to and tailor a customer’sneeds depending on their actions and preferences. AI is also able to adapt andimprove over time using feedback and new data.

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