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發表於 2024-2-24 14:32:34 | 顯示全部樓層 |閱讀模式
Based on influencers’ inputs Hook generation – Interesting or intriguing comments that encourage audiences to click-through or engage with an influencer’s video, blog or audio content can be easily created using Tribe Scaler. Content optimization – AI can also optimize content by using predictive models, such as BERT, that can analyze the content and provide suggestions or feedback on how to improve it.  Ways Digital Marketers Can Use ChatGPT Download . Performance Analytics AI-driven analytics tools are used both by social listening tools such as Brandwatch and influencer


marketing platforms such as HypeAuditor to analyze real-time data on the performance of influencer campaigns. Brands can track engagement, click-through rates, conversion rates, and other key performance Exit Mobile Number List indicators. All crucial data for making informed decisions and optimizing future campaigns. . Influencer Fraud Detection Influencer marketing is not immune to fraudulent activities such as fake followers and engagement. AI algorithms built into most influencer marketing platforms can detect these fraudulent accounts and behaviors, helping brands partner with authentic and trustworthy influencers. Other tools focus on specific areas of fraudulent activity. For example, FakeSpot uses AI to spot fake reviews and scams and provides





ratings and recommendations based on their trustworthiness. . Virtual Influencers Finally, and perhaps the most interesting in our list, is the use of AI to create virtual influencers. Brands are often concerned about the loss of control when using influencers and this has led many of them to testing and experimenting with virtual AI-generated influencers. In fact, Gartner predicts that by , CMOs will dedicate  of their influencer and celebrity marketing budgets to virtual influencers. There are already some inventive and hugely successful examples including KFC’s virtual Colonel Saunders, Liv,

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