When You Start with Data Instead of a Deck
Here’s the deal: most marketers wait for a client brief. They need the product positioning doc. They want the value prop deck. They’re sitting around going, “Just tell me what to say about your thing.”
But what if you flipped it?
What if you started with an industry, dove into the data, stitched together something brilliant, and then went looking for a brand that could use it?
That’s what we call a Headless PVP, and on our October 17th livestream, Jordan Crawford and I built our third one live. This time: retail cosmetics. An industry where neither of us had a clue walking in (okay, Doug made a dad joke about “foundation” but that doesn’t count).
Sixty minutes later, we had a campaign targeting 7,300 independent cosmetics manufacturers with a message about MoCRA compliance that could generate 36 high-velocity meetings per month.
No client. No product knowledge. Just data, AI, and, bad jokes and a framework you can steal.
Why “Headless”?
Before we get into the how, let’s talk about the why.
Traditional marketing starts with a solution and goes hunting for a problem. You’ve got a product, you reverse-engineer some pain points, you slap together an ICP based on firmographics, and you pray your 12-touch nurture sequence doesn’t get marked as spam.
Headless research flips that entirely.
You start with an industry’s existential data; the metrics that separate thriving businesses from dying ones. You identify who’s in acute pain. You build a message so valuable they’d pay to receive it. And then you go find a brand whose product actually solves that pain.
It’s like being a matchmaker, except instead of people, you’re connecting data-driven insights to software solutions.
And here’s the kicker: the constraints make you better.
When you don’t know the product, you can’t cheat. You can’t lean on feature lists or product marketing decks. You’re forced to find real pain, real data, and craft real value. The list becomes the message because it has to.
As Jordan put it during the stream: “This is the amount of specificity you need to get from your customers’ customers so that you can get that specific information... This is a perfect example of how specific you need to be to make your go-to-market engine totally sing.”
The Four-Phase Headless PVP Framework
Phase 1: IDENTIFY — Find the Existential Data Point
Every industry has one metric that matters more than all others. For equipment rental, it’s utilization rate. For medical practices, revenue leakage. For retail cosmetics? MoCRA compliance deadlines.
In twelve minutes of AI research, we found it: FDA’s new cosmetics regulations mean non-compliance = products pulled from shelves. Independent manufacturers are scrambling, most have no idea what data they need.
Jordan’s “breathing with AI” technique: “I’m using Gemini 2.5 Pro Experimental for deep research. The context window is forever. I never hit limits.” Expand for comprehensive data, contract for insights, expand again to test angles.
Your move: Search “[industry] + crisis/regulations/bankruptcy rates.” Hunt for the survival metric.
Phase 2: INVESTIGATE — Stitch 2-5 Data Sources
We combined three public sources to reveal our pain segment:
FDA Registration Database - Who’s compliant, who’s not
Supplier Ingredient Data - What they’re making and at what scale
Retail Distribution Data - Where products sell and revenue indicators
The intersection showed us: Manufacturers with retail distribution (making money) + non-compliant status (at risk) + complex ingredients (can’t DIY compliance) + mid-market scale (need software, lack regulatory teams).
That’s specificity. Doug’s rule: “The smaller your TAM, the better your message has to be.”
Phase 3: CALCULATE — Run the TAM Math
With 7,300 independent manufacturers, generating 36 meetings/month requires:
5% positive response rate
8% meeting book rate
1.4% monthly TAM burn
Compare that to 50,000-prospect campaigns where 1% positive works fine.
Doug: “Every time Jordan develops a PVP, my brain goes: How good is that PVP? If the math doesn’t work, you need a tighter segment or better message.”
Your checklist: Total accounts × required positive rate × meeting conversion = Can you hit your number? If not, don’t deploy.
Phase 4: CONSTRUCT — Build the PVP
Our message: “Here’s every ingredient in your [specific product line] requiring MoCRA Section 605 disclosure, plus exact documentation the FDA will request.”
Why it works:
Immediately actionable (start gathering docs today)
Hyper-specific (their actual products, their actual ingredients)
Independently valuable (useful even if they never buy)
Jordan’s principle: “Don’t target experts. Find people encountering the problem for the first time with no coping mechanisms.”
Your structure:
Their specific situation (your Purple Haze line has three Section 605 ingredients)
The valuable insight (here’s what you need and where to find it)
Path forward (checklist or our help organizing)
Maybe mention your solution (we can automate this)
Give value first. Ask second.
Phase 5: MATCH — Reverse Engineer the Brand
Now find who actually solves this. We searched “cosmetics compliance software” and found Coptis—a PLM platform for beauty/personal care that manages formulations, tracks ingredients, handles regulatory submissions.
Perfect fit. But here’s the power: we didn’t start with Coptis and invent pain. We found real pain, built real value, then matched it to a solution.
When you reach out, you’re not selling Coptis. You’re helping with MoCRA compliance. Coptis just happens to automate what you’ve shown them they need.
Additional Resources
Want to go deeper? Check out these related posts:
A Quick and Dirty Guide to the Cannonball GTM Methodology - See the F.I.N.D. framework applied to equipment rental
Beyond the ICP: A Guide to Pain-Based Segmentation - Deep dive on why traditional targeting fails
The Cannonball GTM Prompt Library - Get the AI prompts we used (Paid subscribers)
Start Here: The Beginner’s Guide - New to Cannonball GTM? Begin here
