M29: Metrics, Binary Tradeoffs, and Hidden Signals for Meta Verified
How Meta could turn verification from a problem into a solution—by measuring what nobody else measures and catching a quality crisis hiding in plain sight.
Most PMs treating Meta Verified like a subscription business are solving the wrong problem entirely. They obsess over churn rates and growth curves while missing what’s actually breaking. Here’s the tell: when applications surge 40% but engagement drops 10%, everyone assumes low-quality accounts are flooding in. But what if the crisis is the opposite—what if something’s pushing the good ones out?
This breakdown reveals which metric actually matters for verification, why conventional wisdom on follower counts has the logic completely backward, and what that application-engagement paradox is actually screaming at you.
M29: Metrics, Binary Tradeoffs, and Hidden Signals for Meta Verified
Identify Key Stakeholders
Primary: Platform users (both subscribers and non-subscribers) evaluating account authenticity
Secondary: Verified subscribers paying $12-15/month for credibility and protection
Tertiary: Meta (platform trust, impersonation prevention, subscription revenue)
