Free B2B ideal customer profile (ICP) template
Updated By the SalesOne research team6 min read
The short answer
This B2B ideal customer profile template has six parts: the offer, target groups, company criteria marked must, prefer or exclude, buying signals with time windows, buying-committee roles, and exclusions. Fill each part with rules someone else could check on public sources, then test the ICP against real accounts and revise it.
How do you use this ICP template?
Copy the six tables below into a document or spreadsheet, one table per part, and fill them in from your own customer list. It is free, and no sign-up is needed.
Write every rule so a colleague could check it on the company’s website, in filings or in the news. For each rule, note whether it is backed by data (your customer list), stated by the team, or an assumption to test. If your first draft is mostly assumptions, that is fine, as long as each one is marked. Work through the parts in order: the offer sets the bar, the criteria and signals decide which companies pass it, and the committee decides who you contact.
Part 1: What do you sell, and what counts as qualified?
Start with one line on what you sell and the bar an account must clear before outreach. These settings apply to every company you research, so agree on them before filling in the rest.
| Field | Your answer |
|---|---|
| What we sell, in one line | [ ] |
| A qualified account needs a buying signal inside its window | [Yes / No] |
| Minimum committee roles found before outreach | [e.g. 2] |
| How recent a person’s source must be | [e.g. 12 months] |
| Score weights: fit / timing / reach | [e.g. 45 / 40 / 15] |
Part 2: Which target groups will you research?
Target groups are segments that share most of the profile but differ in a few rules, such as size, signals or committee roles. Give each a share of research effort that adds up to 100%, and mark new groups as testing until results come in.
| Group | Description | Status (active / testing / paused) | Share of research | Rules that differ from the profile |
|---|---|---|---|---|
| [Group A] | [ ] | [ ] | [ %] | [ ] |
| [Group B] | [ ] | [ ] | [ %] | [ ] |
Part 3: Which companies fit? Must, prefer and exclude rules
List the company facts that separate your best customers from the rest, and mark each as must, prefer or exclude. Use checkable facts only: an industry code, a headcount range or an ownership type, never “innovative” or “growth-minded”.
| Attribute | Rule | Value | If unknown | Basis |
|---|---|---|---|---|
| Industry | [Must / Prefer / Exclude] | [e.g. NAICS 4885, freight brokerage] | [Reject / Flag / Keep] | [Data / Stated / Assumption] |
| Headquarters | [ ] | [e.g. United States] | [ ] | [ ] |
| Employees | [ ] | [min–max] | [ ] | [ ] |
| Revenue | [ ] | [min–max $M] | [ ] | [ ] |
| Ownership | [ ] | [Public / Private / PE-backed / VC-backed / Family-owned …] | [ ] | [ ] |
| Funding stage | [ ] | [Bootstrapped … Series C or later] | [ ] | [ ] |
| Business model | [ ] | [e.g. sells to businesses] | [ ] | [ ] |
| Number of locations | [ ] | [min–max sites] | [ ] | [ ] |
| Technology used | [ ] | [e.g. runs a named ERP] | [ ] | [ ] |
| Financial health | [ ] | [e.g. exclude: in bankruptcy] | [ ] | [ ] |
Part 4: Which buying signals show the timing?
Pick the five to ten signal types that came before your past wins, and give each a window in days. The default windows below come from SalesOne’s 43-signal library; change them if your sales cycle is very different. The last column keeps out look-alikes, such as an interim CEO.
| Signal | What exactly counts | Window (days) | Strength (high / medium / low) | Does not count |
|---|---|---|---|---|
| New executive | [e.g. new CEO, CFO or COO] | 0–180 | [ ] | [e.g. interim CEO] |
| New head of a function | [the function you sell to] | 0–90 | [ ] | [ ] |
| Acquisition or merger | [e.g. closed acquisition to integrate] | 0–730 | [ ] | [ ] |
| New owner | [e.g. acquired by a PE firm] | 0–180 | [ ] | [ ] |
| Hiring in a function | [e.g. 3+ open roles in operations] | 0–60 | [ ] | [ ] |
| Job posts naming a project | [e.g. migrating, replacing] | 0–90 | [ ] | [ ] |
| Deadline ahead | [e.g. compliance date] | Up to 365 before | [ ] | [ ] |
| [Other] | [ ] | [ ] | [ ] | [ ] |
Part 5: Who is on the buying committee?
Name the titles and departments that fill each of the six roles at your customers, and how much each role is needed. The roles marked required set the minimum from Part 1.
| Role | Typical titles | Departments | Need | Contact order | What they care about |
|---|---|---|---|---|---|
| Decision maker (signs off) | [ ] | [ ] | [Required / If the role exists / Nice to have] | [ ] | [ ] |
| Economic buyer (owns the budget) | [ ] | [ ] | [ ] | [ ] | [ ] |
| Champion (owns the problem) | [ ] | [ ] | [ ] | [ ] | [ ] |
| Evaluator (checks the fit) | [ ] | [ ] | [ ] | [ ] | [ ] |
| Entry point (opens the door) | [ ] | [ ] | [ ] | [ ] | [ ] |
| Introducer (investor, advisor) | [ ] | [ ] | [ ] | [ ] | [ ] |
Part 6: Which companies are never prospects?
List the companies that must never be researched as prospects, however well they fit. Keep each list as company domains, so it can be matched exactly.
| Exclusion | Kept as | Note |
|---|---|---|
| Existing customers | List of domains | [ ] |
| Accounts the sales team owns | List of domains | [open deals, CRM-owned accounts] |
| Competitors | List of domains | [ ] |
| Partners | List of domains | [resellers, referral partners, suppliers] |
| Do not contact | List of domains | [companies that asked not to be contacted] |
What does a completed ICP template look like?
Here are two filled-in examples for fictional companies: one selling procurement consulting to mid-sized manufacturers, and one selling fleet software to regional trucking companies. Each fits on one page, and every rule can be checked from outside the company.
| Part | Entry |
|---|---|
| Offer | Procurement cost reduction for mid-sized manufacturers |
| Target groups | PE-backed manufacturers (60%); founder-led manufacturers (40%) |
| Must | US headquarters; manufacturing (NAICS 31–33); revenue $100M–$1B (if unknown: use 300–3,000 employees) |
| Prefer | Three or more plants; acquisition in the last two years |
| Exclude | In bankruptcy; subsidiary of a group that buys centrally |
| Signals | New owner (0–180, high); new CFO or COO (0–180, high); acquisition (0–730, medium); margin pressure in results (0–180, medium) |
| Committee | Decision maker: CEO or COO (required). Economic buyer: CFO (required). Champion: VP procurement (if the role exists). Introducer: operating partner at the PE firm |
| Exclusions | Current clients, open proposals, other consultancies, referral partners |
| Part | Entry |
|---|---|
| Offer | Fleet tracking and fuel-cost software for regional trucking companies |
| Target groups | Regional carriers (70%); distributors that run their own trucks (30%) |
| Must | US headquarters; general freight trucking (NAICS 4841) or a distributor with its own fleet; 75–750 employees |
| Prefer | Family-owned or PE-backed; operates in two or more states |
| Exclude | Freight brokers without their own trucks |
| Signals | New owner (0–180, high); new head of operations (0–90, high); hiring drivers or dispatchers in volume (0–60, medium); acquisition of another carrier (0–730, medium) |
| Committee | Decision maker: owner or COO (required). Champion: director of operations or fleet manager (required). Evaluator: safety manager (if the role exists). Economic buyer: CFO or controller (nice to have) |
| Exclusions | Current customers, open trials, other fleet software vendors, resellers |
How do you test and update your ICP?
Run a small research batch against the template, read the rejects, and change the rules that do not match how you win. Then repeat after every significant run and at least each quarter.
Start with 50 to 100 companies, enough to see patterns without much effort. If one must rule rejects most of them, check whether it reflects your real customers. If most good-fit companies have no live signal, widen the windows or add signal types. Once outreach starts, compare meetings held by target group and by signal type, and move research effort toward the groups that convert. Mark each change with the date and the reason, so the next person can see why the rules look the way they do.