{"id":10007,"date":"2023-07-30T19:04:00","date_gmt":"2023-07-30T13:34:00","guid":{"rendered":"https:\/\/www.quytech.com\/blog\/?p=10007"},"modified":"2026-02-18T15:33:26","modified_gmt":"2026-02-18T10:03:26","slug":"ai-in-influencer-marketing","status":"publish","type":"post","link":"https:\/\/www.quytech.com\/blog\/ai-in-influencer-marketing\/","title":{"rendered":"Generative AI in Influencer Marketing: Exploring the Impact and Trends"},"content":{"rendered":"\n

Influencer marketing has been growing steadily around every marketer executing some influencer marketing campaign tactics. It’s no wonder the number of influencers will surge yearly. <\/p>\n\n\n\n

And why not? It has proved to be effective at generating conversions and sales. However, there’s a catch. Though the industry is evolving, it isn’t without difficulties. About 67% of brands<\/a> are thoughtful of influencer fraud, and around 30% of advertisers have challenges calculating their campaign’s ROI. <\/p>\n\n\n\n

Other common problems contain discovering the right influencers and understanding the suitable compensation. <\/p>\n\n\n\n

But marketers can leave these difficulties behind with AI technology and ML advancements. Today, we will uncover how AI changes influencer marketing by resolving these inherent issues and delivering new, thrilling avenues.<\/p>\n\n\n\n

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