What Are the Problems With Influencer Marketing, and How can AI solve them?
by Sarah O'Neill, on 28 April, 2021
If you're an influencer, the likelihood is that you're on EVERY social media channel. Content creators are encouraged not to rely on one specific form of revenue, due to the transitory nature of the industry. BUT this does not mean that an influencer successful on Instagram will be successful on TikTok. Look at all the Vine 'stars' that migrated to Youtube. Eep.
So, brands have to discover not only who the influencers are that are best for their ads, but where they are. ML algorithms can enable brands to calculate influencer engagement on each channel, and can allow them to make an informed decision on who they use, or which platform they use.
Influencer marketing and AI tools are a match made in heaven. Users who trust influencers, might not trust brand generated content. But on the other hand, due to the human aspect of Influencer marketing, it can be time consuming, and even inaccurate. But by introducing a little bit of robot magic, with a human touch, marketers can approach the space with detail, speed and efficiency.