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Feym Forensic Audit Architecture

Live Influencer Audit & Fake Follower Detection Methodology

Scientific econometric framework for auditing creator authenticity, audience hygiene, and risk-adjusted sponsorship ROI.

1 The Four Pillars of Audience Integrity Verification

Headline follower counts have become fundamentally disconnected from commercial realities due to sophisticated automated click-farms and reciprocal engagement pods. Feym Live Audit utilizes a four-pillar quantitative forensic architecture: post-publication interaction velocity analysis, semantic comment entropy, verified view-to-audience velocity, and geographic dispersal validation across 180 market segments.

Fair Market Value (FMV) Sponsorship Pricing Formula

Commercial sponsorship valuations are calculated using our algorithmic Fair Market Value framework:

FMV Formula (Fair Market Value) Dynamic Multiplier
FMV = (Median Views × Real Reach % ÷ 1,000) × Base CPM × (1 + (ER - Cohort Median) ÷ Cohort Median)

Calculates risk-adjusted net commercial value after subtracting non-human accounts and geographic delivery mismatches.

2 Detecting Sophisticated Bot Clusters and Pod Activity

Modern automated accounts no longer resemble empty profiles without avatars. They execute scripted viewing routines and post AI-synthesized comments ("Amazing content!", "Love this post 🔥"). Feym calculates vocabulary diversity (Shannon lexical entropy) and interaction timestamp clustering. Profiles exhibiting unnatural bursts within the first 90 seconds of publication from interconnected account graphs are immediately flagged with forensic anomaly tags.

3 Actionable Application in Media Buying and Agency Contracts

Marketing directors, D2C brand founders, and creator agencies use Feym audit dossiers during contract negotiation to benchmark compensation against Real Reach rather than inflated vanity counts, protecting campaign budgets from fraudulent impression waste.

4 AQS Forensic Risk Interpretation Matrix (2026)

The decision matrix below outlines the quantitative standards used by media auditors when interpreting Audience Quality Scores (AQS) and Invalid Traffic (IVT) probabilities:

AQS Score TierRisk ClassificationEst. Invalid TrafficFMV Pricing MultiplierMedia Buying Guidance
85 – 100 pts Exemplary Audience Hygiene < 5% anomalies 1.15x – 1.30x (Premium) Approved for flagship sponsorship
70 – 84 pts Healthy Organic Profile 5% – 12% dormant 1.00x (Market Baseline) Safe for standard brand campaigns
55 – 69 pts Elevated Dormancy Risk 13% – 28% inactive 0.70x – 0.85x (Discount) Require minimum view guarantee clause
40 – 54 pts High Manipulation Risk 29% – 45% artificial 0.40x – 0.60x (Haircut) Restrict to CPA / affiliate structures
< 40 pts Critical Fraud Alert > 45% bot farm activity 0.00x (Do Not Book) Immediate exclusion from media plan

Frequently Asked Questions about Live Influencer Audit

How should brands interpret the Audience Quality Score (AQS)?
An AQS above 70 indicates an organic, highly engaged community with strong conversion potential. Scores between 55 and 69 suggest moderate ghost follower accumulation, while scores below 55 indicate severe anomalies or artificial inflation.
Does Feym require creator permissions or login access to perform audits?
No. All forensic audits are performed strictly non-invasively through mathematical models applied to publicly available performance telemetry and historical cohort distributions.
What is Real Reach and how does it protect media budgets?
Real Reach estimates the authentic human audience genuinely viewing a creator’s content after scrubbing inactive accounts, commercial click-farm bots, and automated engagement pods.
How can media buyers use FMV metrics during contract negotiations?
By presenting the gap between headline follower counts and verified Real Reach, media buyers can anchor sponsorship fees to risk-adjusted CPMs and insert performance clawback clauses.

Audited & verified by Zordon Intelligence sp. z o.o. research team.