Shows number of likes and comments account got on their posts. Useful to see growth dynamics and variation of audience engagements with respect to time.
Influencer relevant keywords cloud.
Top relevant Influencers writing on similar topics. Based on TopicSensor® technology.
We determine historical followers age by analyzing the profile picture, text in the profile description (bio) and selfies in recent posts. Only available for the audience as an aggregated percentage.
We determine historical followers location (country, state, city) by analyzing location tags, language and caption of the recent posts and text in profile description (bio).
Audience lookalikes help you find influencers that have similar audience.
Most frequently used #hashtags on the last 30 posts.
Most frequently used @mentions on the last 30 posts.
We determine brand affinities by analyzing posts for caption texts, @mentions, #hashtags and location tags.
We determine interests by analyzing posts for caption texts, @mentions, #hashtags and location tags.
«Real People» is the rest of the audience without the three types above.«Influencers» is the share of the audience having more than 1k followers.«Mass followers» is the share of the audience that follows more than 1500 accounts.«Suspicious accounts» is the share of the non-credible but not mass-followers audience.
We determine historical followers ethnicity by analyzing the profile picture, text in the profile description (bio) and selfies in recent posts. Only available for the audience as an aggregated percentage.
We determine historical followers language by analyzing caption of the recent posts.
Average likes divided by followers
To establish the audience credibility score for active audience we take into account factors such as an account’s avatar and bio description, number of posts, number of accounts followed vs following ratio. Please note that the audience credibility is based only on active engaged audience (likes) i.e. a high credibility score does not necessarily indicate "real followers" - the account may still have bought fake followers, the engagement rate could be very low but those few engagements are real and therefore the credibility score could still be high. Influencers with genuine audience will attain scores of 80 or above.
The average sum of likes on the last 30 posts.
Total number of posts published by @lauren_paley on Instagram.
Shows how disclosed sponsored posts perform compared to organic posts in terms of the average number of engagements they receive. For example, 10% means that you can overpay by 10 times for a post if you base your pricing on average engagements as, for example, instead of usual average 10,000 engagements you might get just 1,000 on your sponsored post. Please note that we take into account disclosure by Paid Partnerships feature and by 38 sponsored posts’ hashtags including #ad, #sponsored, #paid as well as others.
The average sum of reels plays on the last 30 posts.
The average sum of comments on the last 30 posts.
The average sum of shares on the last 30 posts.
United States Digital creator 
797k 
4.4k 
0 
India 
United Kingdom 
Mexico 
Sao Paulo 
Toronto 
