Definition
Analysis techniques that identify artificial, purchased, or inactive followers in a creator's audience.
Why it matters
Paying for reach that doesn't exist is the most common waste in influencer marketing. Detection saves budget and protects campaign credibility.
How to evaluate
- Uses engagement patterns, not just follower counts
- Flags sudden follower spikes with no content correlation
- Combines multiple signals for confidence scoring
How Kitbees supports it
- Automated bot and inactive follower detection runs on every profile — no manual checks needed
- Growth anomaly flagging is tied to content activity timelines so you see whether spikes are organic or purchased
- Quality score combines follower authenticity with engagement depth for a single, actionable number