Portrait Analytics: How to Sell Beyond Your Network Without Diluting Your ICP

Portrait Analytics: How to Sell Beyond Your Network Without Diluting Your ICP

You’ve sold to everyone you know. Your college roommate is a customer. Your former colleagues bought. Even your uncle’s investment firm signed up. Now what?

In a recent episode of Category Visionaries, David Plon, CEO and Co-Founder of Portrait Analytics, an investment research platform that’s raised $10 million in funding, shared a counterintuitive approach to this universal startup challenge. When most founders exhaust their network, they broaden their ideal customer profile to find anyone who might buy. David did the opposite—and it’s why Portrait’s sales motion scaled.

The Typical Founder Mistake

The pattern plays out at every early-stage company. You build something. You sell it to people who trust you. Then you hit a wall. Your response? Lower the bar. Expand the definition of who might benefit. Cast a wider net.

It feels rational. More prospects mean more opportunities mean more revenue. But this logic ignores what made your first customers buy in the first place: they looked exactly like you expected them to look, which meant your pitch resonated perfectly.

David observed this same instinct but recognized the trap. When asked about selling beyond his network, he immediately frames the challenge differently.

The Constraint Strategy

“The most important aspect of it, especially as an early stage company with a novel technology that is rapidly changing, is to have a fairly prescriptive definition of who the ICP and early adopter is,” David explains.

Notice he doesn’t say “expand your definition.” He says prescriptive. Specific. Constrained.

His implementation reveals the discipline required: “A lot of the people we’ve been letting in off our wait list and connecting with have been folks who look a lot like our, the friends or net connections that we have.”

Portrait had inbound demand. They had a waitlist. The easy move would be to let everyone in and maximize short-term revenue. Instead, they deliberately filtered for prospects matching their existing customer profile.

Why Constraint Accelerates Growth

The counterintuitive insight is that constraint creates velocity. When you work with customers who look alike, you spot patterns faster. You understand their problems deeper. You refine your messaging sharper.

David articulates the compounding advantage: “Because we’ve worked so closely with those initial partners to build conviction on each of those points, both what problems we should be solving and how we can be solving them from both a technology and a UX perspective, it sets us up really well to tell that same story with incremental, full incremental customers.”

Read that carefully. Working closely with similar customers didn’t just help Portrait build a better product. It gave them a repeatable story that worked with strangers.

This is the insight most founders miss: your early customers aren’t just revenue—they’re pattern recognition training data. The more similar they are, the clearer the patterns become, the sharper your story gets.

The Lucky Timing Factor

David acknowledges Portrait benefited from market timing. “We’re a little bit lucky in that. Generative AI is quite topical and a lot of investment firms are quite focused on it. So we’ve gotten a lot of inbound.”

But he didn’t let luck dictate strategy. “I think we’ve been very, I’d say specific around who we end up speaking and working with because we want to make sure that we’re continuing to build and sell into folks where we believe there’s going to be a natural fit for a product like this.”

Even with abundant inbound demand, Portrait maintained discipline about who they engaged. This constraint wasn’t about scarcity—it was about learning efficiency.

What Prescriptive Actually Means

So what does a “prescriptive definition” look like in practice? David breaks it down through the lens of burning problems and natural fit.

The burning problems part came from deep customer understanding. “What are the really burning important problems and jobs to be done that they have and how can we make sure that our technology and solutions are 10xing, whatever else is out there in terms of solving those.”

Notice the 10x standard. Not incrementally better. Not slightly faster. Ten times better than alternatives. This only works when you know exactly what the alternatives are—which requires intimate familiarity with a specific customer type.

The natural fit part relates to adoption readiness. Some prospects want what you’re building but aren’t ready to change their workflow. Others are actively seeking solutions. David’s prescription filtered for the latter.

The First Customer Advantage

David’s network gave him an initial edge, but not in the way most founders use their networks. “I had been in the industry for a bit, working at a few different funds. So I had some relationships with people that trusted me and I certainly leveraged those relationships early on.”

But here’s the critical nuance. This was pre-ChatGPT, when “AI as a thought partner on an investment team was something that felt very far fetched.” His relationships weren’t easy sales—they were hard-won experiments.

“A lot of my kind of credibility in working and having worked with some of these folks or been colleagues with them helped me like kind of bridge that gap of uncertainty and a commercial relationship in a way that kind of would build trust over time.”

The relationships bought him patience for iteration, not immediate revenue. This created a different kind of value: deep understanding of how a specific type of customer thought about a specific type of problem.

Translating Network Learnings to Strangers

The test of whether you’ve truly learned from your network customers is whether you can articulate their problems to strangers who share those problems. David’s framing shows this translation in action.

When describing Portrait’s value proposition, he doesn’t talk about features. He talks about research tasks: “Our platform helps investors identify new investment ideas that they’re a nuanced qualitative and quantitative criteria for what they’re looking for. We help investors rapidly build context on new investment ideas. We help them stay aware of all the important data points that could be impacting a position in our portfolio.”

Each of these came from watching how early customers actually used the product. The specificity only works because the early customers were similar enough that their usage patterns overlapped.

The Messaging Multiplier Effect

Here’s where constraint creates compounding returns. When your new prospects look like your existing customers, they recognize themselves in your messaging immediately.

David describes the dynamic: “We’ve over time built a fairly strong understanding of what is going to resonate with these users.” This understanding came from repetition with similar users, not variety across different segments.

The result? “It sets us up really well to tell that same story with incremental, full incremental customers.” The word “incremental” is revealing. Each new customer that fits the pattern makes the pattern stronger, which makes the story more refined, which makes the next customer easier to close.

Broadening your ICP interrupts this compounding effect. Each new segment requires learning new problems, developing new messaging, refining new pitches. You’re constantly starting over instead of compounding.

When to Break the Constraint

The natural question: when do you expand? David doesn’t explicitly address timing, but the principle is embedded in his strategy. You expand when you’ve exhausted the learning from your current ICP—when additional similar customers aren’t revealing new insights.

For Portrait, still being “very specific around who we end up speaking and working with” suggests they haven’t hit that point yet. The current ICP still offers learning opportunities, pattern refinement, and story improvement.

This is radically different from revenue-driven expansion. Most founders expand their ICP when growth slows. David’s framework suggests you expand when learning saturates—which might happen before growth slows, or might happen after.

The Practical Discipline

Implementing this strategy requires saying no. A lot. To qualified buyers with budgets who want to purchase. To inbound leads that don’t quite fit. To investors asking why you’re not growing faster.

The discipline comes from trusting that depth with the right customers creates more value than breadth across many customer types. That a refined story told to perfect-fit prospects converts better than a generic story told to anyone who might buy.

David’s constraint strategy offers a framework for the hardest transition in early-stage sales. When your network runs out, don’t broaden—deepen. Find more people who look exactly like the customers you already understand. Refine your story until it’s so specific that strangers feel like you’ve been inside their heads. Only then, when you’ve truly exhausted the learning from one segment, consider expanding to the next.