I'm targeting the right people and still not closing. What am I doing wrong?
If you’re reaching genuinely qualified prospects and still not closing, my honest guess is that the problem lives somewhere other than your targeting. It’s a trust gap. This cuts against most outbound advice, but here’s the take I’ve landed on: before you have traction, who’s open to working with a startup matters more than who perfectly fits your ICP. The buyer who matches your profile exactly and is ready to buy right now will still usually walk, because an unproven company can’t clear the trust barrier. Meanwhile the slightly-worse-fit person who likes betting on early companies says yes. So I weight proclivity over precision at this stage, and I think more founders should too.
Most advice tells you to narrow relentlessly. I think that advice is right later and wrong now, and I want to make the case for why.
The bottleneck isn’t finding the right person
Hyper-targeting assumes your problem is locating the perfect prospect. For a company with no track record, I don’t think that’s the problem. The problem is getting that person to bet on you.
Run the perfect-fit scenario all the way through. Right title, right company size, active budget, a problem you solve exactly, reached at the perfect moment. Then they do what everyone does before replying: they look you up. No case studies, no logos they recognize, a founder they’ve never heard of, a product that just launched. If you’re a buyer who needs a safe, defensible choice, every signal says wait six months and see if they’re still around. You nailed the targeting and lost anyway, because fit was never the thing that was going to move them.
Now the slightly-worse-fit person who’s bought from startups before, or advises founders, or just likes being early. They read “early-stage company” as upside, not risk. The exact pitch that spooked the perfect-fit buyer lands. The difference wasn’t targeting quality. It was the disposition of the person on the other end.
To me this is the same trust dynamic that runs through everything this early. The first thing anyone does with a cold message is check whether you’re real. I think targeting is just that same check moved one step earlier: who you reach matters less than whether they’re inclined to give you a shot at all.
What I’d optimize instead
Concretely, here’s the shift I’d make:
- Score for openness to startups, not just ICP fit. Past purchases from young companies, founder-advising activity, early-adopter behavior, an audience that signals they like new things. In my experience these predict a reply better right now than firmographic fit does.
- Treat your ICP as a hypothesis, not a filter. Pre-traction, I don’t think you actually know your best customer yet. The people who say yes early are data. Over-narrowing throws away the signal you most need.
- Start light. A heavy, hyper-customized first touch raises the stakes of a relationship with no trust in it. I’d rather open lighter, start an actual conversation, and let trust build before asking for anything.
The effect I keep seeing: a lighter, openness-weighted approach across many of the right kinds of people starts far more real conversations than a heavy, narrow one aimed at a handful of perfect accounts. And more conversations early is also how you find out who your ICP actually is, which you were guessing at anyway.
Where I think this breaks
This is a stage-specific opinion, and I don’t think it holds forever.
- Once you have traction, I’d flip it. When you’ve got proof, meaning paying customers, references, a track record, the trust barrier drops and fit becomes the right thing to optimize. Keep weighting openness over fit at Series A and you’re wasting reach on people who’ll never be good customers.
- If your product genuinely only works for a narrow segment, openness won’t save you. Selling a willing buyer something you can’t actually serve just buys you churn. I’m arguing for relaxing precision, not abandoning relevance.
- High-ACV, long-cycle enterprise is its own thing. There a single perfect-fit logo can outweigh volume, and trust gets built through pilots and relationships rather than reach. My argument is sharpest for founders chasing early, faster traction, which is who I’m writing for.
If I had to compress it: this early, your scarcest resource is people willing to trust an unknown, not qualified prospects. That’s where I’d aim.
FAQ
Isn’t this just an excuse to talk to the wrong people?
I don’t think so. I’m relaxing precision, not relevance. The product still has to plausibly help them. I’m widening from “perfect fit only” to “plausible fit who’s open to startups,” because at this stage I think the second filter predicts conversion better.
How would you tell if someone is “open to startups”?
I look at history and behavior: past purchases from young companies, advising or investing in founders, early-adopter patterns, an audience built around new tools. These are observable, not vibes.
When would you switch back to tight ICP targeting?
When I had credibility to offer: paying customers, references, a track record a cautious buyer can point to. Once the trust barrier is low, fit becomes the better axis and openness matters less.
Do you really think a light first touch beats a deeply personalized one?
Early, yes, I lean that way. A heavy customized touch raises the stakes before any relationship exists. A lighter opener that just starts a conversation asks for less before you’ve earned anything. Personalization has more leverage once a conversation’s already going.
Traxio is a Social GTM engine for early-stage founders. It reads signals across the web to find in-market buyers and starts real conversations from your own profile, weighting who’s actually open to working with a startup over who fits an ICP that’s still taking shape. Learn more.