Instagram Follower Analytics: What the Numbers Tell You

Raw follower counts only tell part of the story. Real analytics come from understanding the composition and behavior of an audience.

Beyond the Numbers

A profile with 100K followers might look impressive, but what if 80% are bots? Or what if a partner's following list is 95% one gender? These are the insights that matter.

Classification Breakdown

Peep's AI analyzes each connection and provides a breakdown:

• Female followers: Identified by name, username, and profile picture analysis
• Male followers: Same multi-signal classification approach
• Brands: Business accounts, companies, and organizations
• Unknown: Accounts that don't fit cleanly into other categories

Suspicion Score

Based on the classification breakdown and following patterns, Peep calculates a suspicion score (0-100) that indicates how unusual someone's following behavior is.

Activity Monitoring

Beyond static analytics, Peep tracks dynamic changes:

• - New follows and followers
• - Unfollows and lost followers
• - Timing patterns of follow/unfollow activity