Alright, let's get practical.
Yesterday I explained that real Product-Market Fit creates consistency … and fake PMF creates variation.
Today I want to show you exactly how that shows up in your dashboard.
Because if you know what to look for, you can diagnose the problem before it gets expensive.
Dashboard symptoms of "activity revenue" (not real PMF):
CAC volatility … Your cost to acquire a customer swings wildly week to week. Some weeks you're a hero, some weeks you're an idiot.
"Winner" dependence … You're overly reliant on one ad, one creator, one angle. When it stops working, everything falls apart.
AOV drifting down as volume rises … Your average order value drops as you scale spend.
Refunds creeping up at higher spend … More customers, higher refund percentage. That's a sign you're attracting the wrong people.
Cohort inconsistency … Some groups of customers are great. Others churn immediately. There's no pattern.
Retention "scatter" … It's not that retention collapsed. It's that it's all over the place. Some customers love you, some disappear.
Support volume rising with growth … You're getting more support tickets as you scale. That's expectation mismatch, not a support problem.
Creative fatigue that feels unusually fast … You burn through "winning" ads faster than you can replace them.
Cash flow tightening despite revenue growth … Revenue is up, but cash feels tight. That's a quality problem, not a volume problem.
What founders think vs. what's actually true
They think: "Ads are volatile."
Actually: Scaling revealed PMF was never singular.
They think: "We need more creatives."
Actually: Creative is compensating for unclear fit and diluted messaging.
They think: "Retention is a lifecycle issue."
Actually: You're acquiring mixed buyers with mismatched expectations.
They think: "We just need to optimize."
Actually: You need PMF so the market can behave consistently.
Here's the pattern:
When you see these symptoms, your first instinct is to fix them downstream … better ads, more creative, new offers, lifecycle campaigns.
But the root cause is upstream: you're talking to too many segments, solving too many pains, promising too many outcomes.
And the system can't stabilize.
Tomorrow I'm going to walk you through the exact corrective move … how to collapse multiple partial fits into one primary fit so your business becomes readable again.
Reply and tell me: Which of these dashboard symptoms are you seeing right now?
See you tomorrow,
Jeremiah
P.S. … I know what you're thinking: "Okay, I see the symptoms. But what do I actually DO about it?" That's tomorrow. And it's simpler than you think … but it requires one decision most founders resist making.
100% Typo Guarantee … This message was hand-crafted by a human being … me. While I use AI heavily for my research and the work I do, I respect you too much to automate my email content creation.
There was no review queue, no editorial process, no post-facto revisions. I just wrote it and sent it … therefore, I can pretty much guarantee some sort of typo or grammatical error that would make all my past english teachers cringe.
Anonymous Data Disclaimer … Most of my clients prefer that I not share the inner workings of their businesses or the exact details of the marketing strategies we develop. In order to be able to share my own proprietary intellectual property without violating the sensitive nature of my relationship with them, I often anonymize what I share with you. This may include changing the specifics of their industry, what actually happened, or what we developed together. When I make these changes, I work to preserve the success principle I want to convey to you while obscuring sensitive data. This is necessary.