Influencer marketing is growing as an effective medium to connect targeted audiences with relevant content & offers they want to see. A big part of profiting from this is being able to select & analyze each influencer's audience and predict how they'll react to content.
There are many ways to analyze influence, but the most common ones involve measuring the quality & composition of an influencer's followers and how they engage with the influencer's content.
While one could literally spend all day surfing the web and copy-pasting some of these metrics, most operations typically employ automated software to collect this data. We'll walk through common scraping techniques you can use for getting this data and running your own metrics to build your next killer influencer strategy.
You'll want to focus on going deep on a few key influencers you're interested in analyzing. Based on what you want to do, you may only need to perform one of the following techniques or give them all a try if you're really ambitious.
It can pay off to analyze the composition of a large following to see each individual follower's follower count, number of posts, business category, and more.
Why not size up the competition? Many social media sites feature a "similar accounts" section where you can find accounts similar to your target influencers if you're looking to expand your horizons.