The impact of AI on influencer marketing and virtual influencers
Posted: Mon Jan 20, 2025 9:48 am
Marketing in 2023 is data-driven and less reliant on creativity and a high budget. The Internet and, with the digital revolution, companies like Google and Facebook have significantly and permanently changed the industry. As a result, advertising has become more targeted than ever, and understanding the mechanisms of social platforms has therefore become a core competency. With the ability to analyse large amounts of data quickly and accurately, artificial intelligence has made the process of identifying influencers, predicting the success of campaigns and even automating content creation more efficient and effective. That is why in this article we analyse, for example, the impact of AI on influencer marketing and virtual influencers.
Key points
AI processes massive amounts of data and helps marketers gain insights that vp engineering email database mitigate human bias.
Ways AI is and will influence influencer marketing include influencer identification, campaign optimization, fraud detection, and content creation with, for example, virtual influencers and CGI.
Ways AI is changing the influencer marketing industry include enforcing contractual terms and NDAs, predicting future performance, centralizing data points, and improving scale.
By learning from data , AI can help us determine the most effective outcomes in various areas. AI can therefore also play a key role in streamlining the discovery and execution of influencer marketing campaigns. Instead of manually searching for the best influencers, businesses can use AI to identify relevant individuals and evaluate their content and performance to ensure brand compatibility.
Additionally, AI can provide real-time insights to review, optimize, and measure campaigns. Since influencers bring a unique touch to campaigns, it can be difficult to optimize them at scale, especially compared to digital channels where A/B testing is more feasible. AI can help marketers overcome this hurdle by providing constant insights and optimization suggestions, making campaigns more effective and efficient.
Artificial Intelligence and Influencer Marketing
AI has already started to influence the field of influencer marketing in many ways, and it is likely to continue to do so in the coming years. The reason for this is the aforementioned amount of data that artificial intelligence can process. You can find more information on the importance and opportunities of data-driven influencer marketing on Kolsquare’s influencer marketing blog . Here are some of the ways in which AI will either complement or further change the influencer marketing landscape:
Identifying the right influencers : AI can help identify the most relevant influencers for a given campaign by closely analyzing factors such as engagement, audience demographics, and content quality. With advanced features and customizable filters on our database of over three million German and international influencers, Kolsquare helps you find the right profile for you.
Predicting and measuring campaign success – AI can also be used to predict the likely success of a campaign based on factors such as data and target group demographics. This can help brands optimize their campaigns in advance for maximum impact and ROI. But of course, AI analytics also help measure success during and after the campaign.
Content creation automation – AI can be used to automate various aspects of content creation, such as image and video editing, copywriting, and even influencer avatars (virtual influencers). This can help streamline the content creation process and ensure that content is optimized for maximum impact. Additionally, virtual or CGI influencers can now be strategic content for a campaign – more on this later in this article.
Fraud detection – AI can also be used to detect fraudulent activities such as fake shares and followers. At Kolsquare, we have developed a so-called “Credibility Score”, which shows you which influencers you can trust based on a number from one (unreliable) to 100 (extremely reliable). Furthermore, these tips will help you identify fake influencers and avoid falling for a scam.
Audience analysis : AI can be useful for more than just detecting influencer fraud. Artificial intelligence can also be used to analyze influencer audiences and gain valuable insights into demographics, interests, and behavior.
Basically, you see that all the points are interdependent or mutually beneficial. You can use AI in one step of your influencer marketing funnel , or you can use it to optimize all your processes
Key points
AI processes massive amounts of data and helps marketers gain insights that vp engineering email database mitigate human bias.
Ways AI is and will influence influencer marketing include influencer identification, campaign optimization, fraud detection, and content creation with, for example, virtual influencers and CGI.
Ways AI is changing the influencer marketing industry include enforcing contractual terms and NDAs, predicting future performance, centralizing data points, and improving scale.
By learning from data , AI can help us determine the most effective outcomes in various areas. AI can therefore also play a key role in streamlining the discovery and execution of influencer marketing campaigns. Instead of manually searching for the best influencers, businesses can use AI to identify relevant individuals and evaluate their content and performance to ensure brand compatibility.
Additionally, AI can provide real-time insights to review, optimize, and measure campaigns. Since influencers bring a unique touch to campaigns, it can be difficult to optimize them at scale, especially compared to digital channels where A/B testing is more feasible. AI can help marketers overcome this hurdle by providing constant insights and optimization suggestions, making campaigns more effective and efficient.
Artificial Intelligence and Influencer Marketing
AI has already started to influence the field of influencer marketing in many ways, and it is likely to continue to do so in the coming years. The reason for this is the aforementioned amount of data that artificial intelligence can process. You can find more information on the importance and opportunities of data-driven influencer marketing on Kolsquare’s influencer marketing blog . Here are some of the ways in which AI will either complement or further change the influencer marketing landscape:
Identifying the right influencers : AI can help identify the most relevant influencers for a given campaign by closely analyzing factors such as engagement, audience demographics, and content quality. With advanced features and customizable filters on our database of over three million German and international influencers, Kolsquare helps you find the right profile for you.
Predicting and measuring campaign success – AI can also be used to predict the likely success of a campaign based on factors such as data and target group demographics. This can help brands optimize their campaigns in advance for maximum impact and ROI. But of course, AI analytics also help measure success during and after the campaign.
Content creation automation – AI can be used to automate various aspects of content creation, such as image and video editing, copywriting, and even influencer avatars (virtual influencers). This can help streamline the content creation process and ensure that content is optimized for maximum impact. Additionally, virtual or CGI influencers can now be strategic content for a campaign – more on this later in this article.
Fraud detection – AI can also be used to detect fraudulent activities such as fake shares and followers. At Kolsquare, we have developed a so-called “Credibility Score”, which shows you which influencers you can trust based on a number from one (unreliable) to 100 (extremely reliable). Furthermore, these tips will help you identify fake influencers and avoid falling for a scam.
Audience analysis : AI can be useful for more than just detecting influencer fraud. Artificial intelligence can also be used to analyze influencer audiences and gain valuable insights into demographics, interests, and behavior.
Basically, you see that all the points are interdependent or mutually beneficial. You can use AI in one step of your influencer marketing funnel , or you can use it to optimize all your processes