Quick note before we get into the rest of this…

I’m hosting a free, live session called Raising Capital: Narrative Strategy + Office Hours on Jun 30.
For this session, the mini lecture is focused on narrative strategy - how to build and tell a story that's both compelling to investors and strategically grounded.
We'll cover what goes into an effective narrative, why it matters beyond just the pitch, and how to adjust it when something isn't landing.
No pitching. No prep. Just questions.
If that sounds useful, you can grab a spot here → https://luma.com/narrative630?utm_source=beehiiv-0626

Investors love to tell you they're data-driven. I remember repeating our view on churn rate ad nauseum while I was at Greycroft.
“Anything above 4.5% monthly churn is a death sentence. We really need to see you trending sub 4% to consider…”
It felt like a badge of honor to be able to express the underlying algorithm in our brains around decision making. Most VC have some version of this personality trait…
Here's the thing nobody on that side of the table wants to admit: data doesn't make investors rational. It makes them feel rational. And those are two very different things.
I've watched founders with mediocre fundamentals raise rounds that founders with genuinely better businesses couldn't close. Same market, similar traction…but wildly different outcomes.
The difference almost never came down to who had better data. It came down to who understood that data is a trust mechanic, not a truth mechanic.
Numbers Don't Persuade. They Permit.
Here's what's actually happening when an investor looks at your metrics slide.
They already have a gut read on you within the first ten minutes of a meeting. Fair or not, they’ve subconsciously determined whether they like you, whether they trust you, and whether they can picture you grinding through the next seven years of a company's life. That read forms fast, and it forms emotionally. The data comes after.
It can be embarrassing for me or any other VC to admit this but it’s true. I wish it weren’t the case and I wish biases weren’t a part of this game, but we’re all human. This is the result of humanity.
So let’s say an investor develops a quick read based on your first 5 slides. The money data shot is coming up on slide 6. What you have to realize is the data isn't going to change their mind. It will give them permission to act on the mind they'd already made up. A good number doesn't convince a skeptical investor. It hands a convinced investor the ammunition they need to defend the deal to their partners on Monday.
This is why two founders can show the exact same retention curve and get opposite reactions. The number isn't doing the work. The story the investor has already started believing about the founder is doing the work. The number is just the excuse.
Founders who understand this stop asking "what data do I need to convince them" and start asking "what data lets them feel good about a decision they already want to make." Or in the other direction, “what story will make this data acceptable?”
That's a completely different exercise. And it changes what you build your deck around.
The Best Pitches Don’t Survive Scrutiny…They never get there
Here's something uncomfortable: the most fundable founders aren't always the ones with the most rigorous data. They're the ones who make rigorous scrutiny feel unnecessary.
Think about the investors you've watched get talked into deals that, on paper, didn't deserve the term sheet they got. It wasn't because the founder snuck anything past them. It's because the founder's conviction and credibility was so overwhelming, so clearly earned that picking apart a churn number felt silly. In fact, in these situations the investor comes up with answers for less than desirable numbers themselves. “I bet this is not the focus for them right now. I can see 5 different ways it could be addressed quickly. This isn’t an issue.”
Again…the result of being human. This is how belief spreads between humans which is what investors are before they're analysts.
The founders who get this right aren't hiding weak data behind a good story. They're making the story so compelling that the investor's brain stops hunting for holes. Scrutiny is a mode people switch into when they're not yet sold. Once they're sold, they switch into advocacy mode instead and in advocacy mode, people fill the holes for you.
Why "Smart Money" Falls for This More, Not Less
You'd think the most sophisticated investors who have the best pattern recognition, the most reps, the sharpest diligence process would be the hardest to move with story over substance.
It's often the opposite.
Sophisticated investors have seen enough decks to develop a kind of fatigue around pure data. They've built mental shortcuts specifically so they don't have to fully diligence every claim in real time. Those shortcuts are usually narrative-shaped: "this reminds me of," "this founder has the energy of," "this feels similar to how company X ramped up.." A founder who can slot cleanly into one of those existing narrative shortcuts gets fast-tracked past a level of scrutiny a stranger to the pattern would face.
This is also why warm intros outperform cold outreach so dramatically. It's not really about access. It's about a credible person short circuiting an evaluation process for the investor with a pre-built narrative ("this founder is sharp, this market is heating up") before the data ever shows up. The data just confirms a story that's already been planted.
What This Means for You
I'm not telling this to encourage founders to manufacture a fake narrative and dump in a few cherry-picked numbers to backstop it. That's a con and something I never advocate for. Morality aside, it is not fun running a company where people expect things you can’t deliver. Don’t do it.
I'm telling you this because most founders waste enormous energy trying to out-data their way into a room, building denser and denser slides, hoping the sheer weight of evidence does the convincing.
Here are the two main tactical points for founders:
Start with the foundation - Yes, you need a good story. But where does a good story come from? A good story is built around a solid core business, with an exciting vision, run by an inspiring founder. If you are deficient in any of those areas …a good (honest) story is impossible. So start by working on those 3 elements.
Your Story isn’t for Everyone - Remember even the best story built on a rock solid foundation will not be loved by everyone. Nor should it be… For a story to really excite an investor, they not only have to love it but understand why others would hate it or miss it. That means you have to build a strong point of view and not be overly influenced by negative feedback. The ones it resonates with will be excited to confirm their gut feeling with your data.
So yes go get great data but only because great data indicates a great core business. From there, the important thing is to understand the real role it plays in the whole process.
I hope this helped.
Be chased,
Jason

I think people overcorrect on this. "Subscribe" isn't a bad word… it's just an expensive ask when the perceived value is still cheap.
I suspect this generalizes to a lot more than public speaking.

My subconscious was cooking.

Small asks!
If you thought this was helpful or enjoyable in any way, I’d love for you to:
Forward this newsletter to others who would enjoy it (use your referral link and get some cool rewards☝️)
Follow me on Twitter where I share my thoughts, struggles, and nuggets around fundraising
Listen with a friend to Funded, my podcast that tells the rollercoaster stories of how founders raised millions (and subscribe🙏)
Ask me your fundraising questions so I can help you and cover them in a future issue
Are you planning to fundraise? Join Adamant Fundraising - the fundraising program + community that's helped founders raise over $411M 💰
Download The DIY Guide for Building the Ultimate Investor Target List

What's included:
Step-by-step instructions for building an investor list
Templates to get you started quickly
Walkthrough videos of how to use search tools
|
|


