Targeting and fake followers: how to solve the most acute problems of influencer marketing?

Targeting and fake followers: how to solve the most acute problems of influencer marketing?

Influencer marketing prospects really impress! This market has doubled for the last year and a half and currently amounts to over $2 billion. No wonder! Bloggers give brands access to a huge audience on social networks. Instagram bloggers lead by a wide margin: 69% of marketers promote products with their help. However, there are some obstacles to the growth of this market, because of which small business almost does not risk to use the services of Instagram stars. Their prices are crazy high, guarantees are not always provided, and the selection of relevant influencers is too complicated. Data scientist Arthur Suilin presents problems with the new marketing industry and their solution.

Wow thanks for sharing your insights into how online influence could be measured.

In regards to your product, does the TopicTensor Demo only work with the Instagram API?

In regards to the future of media, are you finding that more social networks are deliberately cutting off API access?

Sorry for the late answer. 1. The TopicTensor model we use in the Prometeus demo was trained on Instagram data. The same technology (TopicTensor) can be applied to any other social networks. To do this, you need to train the model on the tags used in a particular social network.

2. Yes, it is! They are gradually and deliberately cutting off API access. Social networks want to monopolize users data and deprive everyone else (including the users themselves) of the opportunity to use and monetize their data. Prometeus is combating this phenomenon. We don’t know if Hacker Noon team would be interested, but we can write a good article on this topic?