Your ideal customer profile needs more than industry and headcount

A list filter is only the beginning

Two companies can share an industry, location and employee count while having completely different reasons to buy. One has a painful manual process and an owner ready to change it. The other has no immediate need and is collecting ideas for next year.

Firmographics help you find a population. They do not fully explain readiness, value or the conditions required for your product to work.

In My Day 8 post, the useful distinction is between describing the market and understanding the customers who succeed. Both matter, but they answer different questions.

Start with outcomes, not your favourite logos

Select a group of customers who received meaningful value and a comparison group who struggled. Define success for your model: sustained use, renewal, profitable repeat purchase, expansion or referrals may be relevant.

Do not label every churned customer a bad fit. Some were suitable customers whom the company failed. That distinction is part of the investigation.

For each customer, record the original buying situation and what happened after purchase. Use interviews and records where possible. If the answer is unknown, mark it unknown rather than filling the gap with an attractive story.

Investigate four dimensions

Previous solution. What did the customer do before buying? A spreadsheet, an internal team, a service provider and doing nothing all create different expectations and switching costs.

Trigger. What changed that made the problem worth addressing? A deadline, team expansion, new customer requirement or failed process can create urgency. Company growth alone does not tell you which problem became urgent.

Pain owner. Whose work was made harder by the problem? Distinguish the user, internal advocate, economic buyer and approver where those are different people.

Prerequisites. What had to be true for the solution to work? Examples might include usable data, a repeatable internal process, sufficient usage volume or someone authorised to change a workflow.

These dimensions do not replace industry expertise. They make the industry description more useful.

Turn the patterns into a working profile

Write a short profile that includes observable filters and deeper qualification conditions. For example, a hypothetical operations product might target a particular type of team that has outgrown spreadsheets, has a named process owner and can provide clean input data.

Add exclusions. Which situations predict poor fit or excessive implementation effort? A useful profile helps the team say no as well as find more prospects.

Keep the language probabilistic. A pattern from a small customer base is a hypothesis to test, not a universal law about the market.

Apply it across the business

Use the profile to shape prospect selection, website examples, sales questions and onboarding requirements. If only marketing knows it exists, the company will continue attracting and selling to people under different assumptions.

Review new opportunities against it. Track where successful customers fall outside the profile; those may reveal a new segment or show that the original definition was too narrow.

Avoid rewriting the profile around every unusual deal. A single attractive customer can be an exception without becoming the strategy.

The useful next step

Choose five strong and five weak customer outcomes you can investigate this week. Ask the same questions about both groups. Look for a difference that would change how you qualify or communicate tomorrow.

The First 10 Diagnostic includes customer interviews and ICP work because channel decisions become more useful when the company knows which customers it is trying to acquire.

Apply this to your business

Compare three customers who succeeded with three who struggled. Write the shared trigger, operating condition and disqualifier before choosing an industry label.