The overwhelming majority of this account's followers and engagement appear inauthentic. Engagement is a fraction of what the follower count implies, comments are dominated by spam, and growth came in unnatural bursts. We recommend against any paid partnership.
Account Snapshot
IREM Evaluation
Evaluated under the Influencer Risk Evaluation Model (IREM) — a Regnor applied intelligence framework.
Audience Quality
Engagement Intelligence
Comment Forensics
Analyzed 360 comments.
Brand Safety
Critical Findings
Analyst Assessment
- ·0.3% engagement rate against a 1–2.5% expected range for this tier.
- ·86% of sampled followers show bot-like characteristics.
- ·81% of comments are generic or spam, with recurring handles.
- ·Two 48-hour follower spikes of ~180K each.
Severe brand risk. Paying for reach here would deliver almost no genuine audience and could associate the brand with a follower-farming operation.
Detailed Signal Analysis
- ·About 86% of sampled followers show suspicious or bot-like characteristics.
- ·High rate of accounts with no profile picture, no bio, and zero posts.
- ·Large clusters of followers created within the same short windows.
- ·Engagement rate of 0.3% is far below the expected range for this follower tier.
- ·Likes and comments are flat across posts regardless of content — a hallmark of a non-reactive audience.
- ·Generic and spam comment rate is 81% — mostly emoji strings and promotional links.
- ·Very low comment diversity; the same handles recur across most posts.
- ·Captions are highly repetitive across posts (templated discount copy).
- ·Heavy reliance on reposted product imagery with little original content.
Action Plan
- 01Do not proceed with a paid partnershiphigh
Engagement and follower quality indicate the audience is overwhelmingly inauthentic; spend would not reach real people.
- 02If you must engage, demand independent third-party verificationhigh
Only an outside audit of reachable audience would justify reconsidering — first-party screenshots are not sufficient here.
- 03Flag the account internally to avoid re-evaluationmedium
Signals are strong and consistent; revisiting without new data wastes review time.
This report is generated by algorithmic analysis of publicly available data and AI evaluation. Verdicts and scores are signals and estimates, not accusations or statements of fact about any individual. They reflect a single point in time and can change as an account evolves. This is not a professional fraud investigation or legal determination — use it as one input alongside your own due diligence. To re-run with fresh data, use Force Refresh above. If you believe a result is inaccurate, request a recheck or correction at romil@regnor.systems.