How do we identify our best-fit customers?

You identify your best-fit customers by looking backward at the customers you already have. Sort your current accounts by how they actually behave, find the handful who'd be genuinely upset if you disappeared tomorrow, and then listen closely to how those people describe the problem you solved for them. Their words tell you more about who your best-fit customer is than their industry or headcount ever will.

Most teams answer the question with a sentence like "mid-market healthcare, 200 to 2,000 employees, VP of Operations." That sentence describes who you can sell to. Best-fit is narrower and more useful. It's the customer who gets the most value from you, buys faster, stays longer, expands without a fight and sends you the next one. Every company has a few. Most companies have never written down what those few have in common.

Why can't we just use firmographics to find our best-fit customers?

Firmographics are true, cheap and shared by every competitor who bought the same data. Industry, size and tech stack tell you where a buyer sits. They don't tell you why one 500-person health system signs in six weeks and another one in the same state stalls for nine months. We dug into that gap in why your target market list counts companies instead of finding buyers.

The fuzziness shows up in public, too. In our 2026 scoring of 302 healthtech homepages, only 69 took full marks for making it plain who the company is for. Another 227 got partial credit, usually because the buyer's role, company size or stage never appeared on the page. Six didn't say at all. When a homepage can't name the buyer, the team behind it usually hasn't agreed on one either.

How do I find the customers who value our product most?

Start with your customer list and sort every account into three piles. Use behavior as the evidence, not anybody's opinion of which logos feel impressive.

• They bought faster than your average deal, with fewer people in the room.
• They renewed or expanded without a discount fight.
• They referred someone or took a reference call without being chased.
• Their support tickets ask how to do more, not whether the thing works.
• Asked how they'd feel if they could no longer use you, they say "very disappointed." That question comes from Sean Ellis's product-market fit survey, and it's still the fastest honest read you can get.

Accounts that hit most of those signals go in the first pile: your champions. Accounts that pay and stay but never light up go in the second: your tolerators. Accounts you probably shouldn't have signed go in the third. Be honest about the third pile. It holds the most useful lessons, and it's usually the pile your marketing keeps refilling.

Look hard at how that third pile found you. If most of them came through the same channel, the same campaign or the same line on your homepage, you've found the message that keeps attracting the wrong buyer. That's worth fixing before you spend another dollar on demand generation.

Why do some customers love our product while others don't?

Almost always, the two groups bought to solve different problems. Your champions arrived trying to escape a specific old way of working, and you ended it. Your tolerators bought a feature, and the feature works fine. Same product, different problem, completely different relationship.

That's why the most important things your champions share rarely live in your CRM. Look for the event that made the problem urgent, the old way they were defending before you showed up, and the exact words they used to describe the pain on the first call. Those three things make a best-fit customer recognizable long before a contract is signed.

What should we ask our best customers?

Talk to five to eight champions. Ask for episodes, not opinions, and record every call so you keep their exact words rather than your summary of them.

• What was going on the week you started looking for help?
• What were you doing before us, and what finally made that unbearable?
• Who else did you look at, and why didn't you pick them?
• If a peer asked you at a conference what we do, what would you say?
• If we disappeared on Monday, what would you do instead?

Listen for repeats. When three champions reach for the same phrase to describe the problem, that phrase belongs on your homepage, close to word for word.

April Dunford's positioning method in Obviously Awesome starts in the same place, with the customers who love your product, before anyone debates markets. We agree with that starting point. Where our work goes further is what happens to the words afterward. You'll often find your champions describe what you do better than your own website does, and that language is the raw material for everything that follows.

How do I decide who our ideal customer should be?

Write it down as one short paragraph your whole company can repeat. A useful best-fit profile names five things:

• Who they are: the role that feels the pain, the kind of company and the stage it's in.
• The trigger: what happened in the last ninety days that made the problem urgent.
• The old way: what they're doing today and defending out of habit.
• The problem in their words, lifted straight from your champion calls.
• What changes for them after you, in terms they'd put in a board update.

Then add one line saying who you're not for. That line is the repel pole a message needs, and skipping it is why marketing attracts the wrong customers. Writing a narrow profile doesn't mean you'll turn away other revenue. You're choosing who you speak to, not who you'll sell to, which we covered in should we niche down, or will it cost us deals.

Where should our best-fit customer profile live?

In one place that every writer pulls from. In our work that's the buyer section of the Magnetic Messaging Framework, the documented source your homepage, your sales deck, your reps and your AI tools all draw on. A profile stuck in a strategy slide gets lost by the next hire. A profile in the framework shows up in every page and every AI draft.

It matters more now because buyers are asking AI assistants who can help companies like theirs. Engines can only match you to that buyer if your public pages describe the buyer specifically. A vague profile gets you filed under everyone, which in practice means no one.

Try it yourself. Ask ChatGPT who helps a company like your best customer with the problem they described to you. If your name doesn't come up, or comes up next to the wrong kind of buyer, the engine is reading the same fuzzy profile your homepage publishes.

How do we know if our best-fit profile is right?

Run two quick tests. First, ask each sales rep to name three current customers who fit the profile. If they name the same accounts, you have one profile. If they name different ones, you have three, and nobody has picked. Second, read the problem line out loud to two champions and listen for "that's exactly it." A polite nod means keep digging.

For a scored outside read, run your homepage through the free Brand Signal Score. ICP Clarity is one of its 19 criteria, and it's the same yardstick behind the healthtech numbers above. If your page lands in the partial-credit crowd, the fix starts with the customer conversations in this post, long before any rewrite.