The Shift From
Macro to Micro
Influencer Marketing is shifting from celebrity influencers to micro influencers. Micro influencers are more relatable, genuine, trustworthy, and authentic.
What is a Micro
Influencer?
A Micro influencer has between 1,000 and 100,000 followers and is often a blogger, vlogger, or journalist with a career and/or interests in a specific field.
Micro-
Targeting
Micro influencers allow brands to target and identify with distinct audiences. Content is more realistic and attains a more concentrated audience scope. Followers often have the same interests and react quickly.
Engagement
& ROI
Micro influencers are often paid under $500 to post, or they are paid with products and services. The average engagement rate for a micro influencer with 1000 followers is 8%, compared to 1.7% for a celebrity with 1M followers.
Who are your
Micro Influencers?
Micro influencers can be current customers and fans, fans of competitor brands, or customers of other partner brands.
Find Micro Influencers For Your Brand
USE ARTIFICAL INTELLIGENCE TO FIND
We can analyze any Twitter handle! Use personality insights to find micro influencers who will drive the highest engagement for your brand. Build lists of potential micro influencers based on personality profiles, topics, locations, and more.
Search Followers
For Specific
Interests
Target specific profiles related to your objectives. In this case, we’re looking for followers interested in health and fitness or sports. Each follower analysed must have at least 10,000 followers, and a maximum follower to follower ratio of 25%
IBM Watson Determines
Influencer Personality
We create social language profiles by pulling the last 6 months of tweets from each prospect. They are run through IBM Watson to determine personality profiles and popular topics for each prospect micro influencer. These stats, along with social engagement metrics are analyzed by a Machine Learning algorithm, which is powered by our database of past influencers.
IBM Watson Determines
Influencer Personality
We create social language profiles by pulling the last 6 months of tweets from each prospect. They are run through IBM Watson to determine personality profiles and popular topics for each prospect micro influencer. These stats, along with social engagement metrics are analyzed by a Machine Learning algorithm, which is powered by our database of past influencers.
Review
Influencer
Profiles
Learn about the unique profiles of each micro influencer. Each candidate has a specific combination of traits that align with our matching algorithm.
Analyze
Influencer
Bios
Each influencer’s social bio includes their 3 most popular topics, their location, profile engagement stats, and a projection (to set expectations) if they make a sponsored post. Profiles are consistent for influencers across all of their social channels.
Analyze
Influencer
Bios
Each influencer’s social bio includes their 3 most popular topics, their location, profile engagement stats, and a projection (to set expectations) if they make a sponsored post. Profiles are consistent for influencers across all of their social channels.