# Sarah Okonkwo, Head of Growth at Pelham Advisory Group — read of Lead Source Optimizer AI, May 22 2026

> 7 years running paid and organic for B2B agencies, currently managing a 12-person shop where I do attribution reporting by hand every single Friday morning.

## How I got here

Someone dropped a link in the RevOps Collective Slack with the message "lol at this scoring model, is this actually useful?" I clicked it on my bus home. I wasn't looking for a tool. I was curious what "honest" meant in a product context because every founder calls their product honest. I gave it about four minutes standing up before I sat down and gave it ten.

## What I clicked first

"Stop optimizing blind." Okay, I've read that sentence or a cousin of it on maybe 30 attribution pages this year. Didn't do anything for me. But then I saw the score block — 57/100, $-14,867 year-1 take-home, 1 in 8 odds — and I genuinely stopped scrolling. I've never seen a product page lead with its own negative Fermi estimate. That's the first thing I've seen in months that felt like it wasn't trying to sell me something.

## Where I paused

The honest disclosure block: "we don't have live customers on this idea yet. We shipped the strategy package; you ship the customer conversations." I read that three times. Because I finally understood what I was actually looking at. This isn't a tool I buy to do attribution. This is me buying the blueprint to BUILD the tool and then go find my own customers. That's a fundamentally different product. I'm not sure the page earns that reveal fast enough — I was four paragraphs in before I understood I wasn't being sold software.

## What I distrusted

Two things. First, "credibility: 10/10" as a strongest axis. Credibility for what? There are no live customers, no case studies, no revenue numbers, no founder name anywhere on the page. That 10/10 is doing a lot of unearned work. Second, the competitive intelligence claim — "See which sources bring high-intent leads vs. bottom-of-funnel tire-kickers" — is described in one line with zero explanation of how. Every attribution tool promises intent signals. None of them deliver reliably. That sentence is indistinguishable from every other platform I've tried.

## What would convince me

Show me one operator who bought the $99 package, launched something, got 10 paying users, and tell me what specifically surprised them about the attribution data. Not a testimonial quote. An actual mini-case: "here's what they built, here's the channel that showed up unexpectedly, here's what they changed because of it." The $-14,867 Fermi is honest but also alarming. If someone made it work anyway, I want to see that story. The score is interesting. The absence of any human who tried it is the gap.

## What I'd ask in an email reply

1. The pain intensity is self-scored at 4/10. You published that on your own page. So why is this worth building right now versus something you scored at 7 or 8? What's the argument for this one specifically?

2. When you say "channel ROI modeling with deal cycle time weighted in" — what's the actual data input? Am I connecting a CRM, pulling from an ad platform, or uploading a spreadsheet? The mechanism is completely invisible on this page.

3. Who built the dossier? Is there a person behind this whose track record I could actually check?

## Verdict: on-the-fence

The self-scoring model with real negative numbers is the most original thing I've seen on a product page in a while and I respect it. But I still don't know if this is a product I use or a franchise kit I'm buying, and after ten minutes I shouldn't still be asking that.

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*Memo by skeptic persona, generated 2026-05-22. Studio breaks own self-grading loop.*