Sales

Free B2B customer avatar and ICP builder

By Charles Summers · Updated · Free, no signup

Short answer

This builds a structured B2B customer avatar from four inputs: industry, company size, job title, and their main KPI. Company size changes the actual output, not just the wording. A 20-person company gets a one-person buying committee with no procurement step. A 2,000-person company gets a seven-role committee with security review, procurement, and legal, and a deal cycle computed from that headcount. You also get their likely objections in the order you will hear them and the trigger events that create demand.

Use the b2b customer avatar builder

What does this tool actually do?

This builds a structured B2B customer avatar from four inputs: industry, company size, job title, and their main KPI. Company size changes the actual output, not just the wording.

It runs entirely in your browser. Nothing you type is sent to a server, no account is required, and there is no usage limit, because there is no cost per run to control.

What does the output look like?

This is the exact output the tool produces from the example inputs. It is generated by the same code that runs when you click the button, so what you see here is what you get.

ICP: VP of Marketing at a Mid-market (101-500 employees) B2B SaaS company BUYING COMMITTEE (4 stakeholders) 1. VP of Marketing (champion) 2. Department head (economic buyer) 3. Finance or budget owner (PO sign-off) 4. IT (light security review for tools touching customer data) Approval ceiling without escalation: $50,000. Above the ceiling, expect a second finance approval and a formal PO, adding roughly one billing cycle. WHAT THEY ARE MEASURED ON pipeline generated (primary), plus pipeline sourced and cost per lead as secondary metrics for the marketing function. LIKELY OBJECTIONS (in the order you will hear them) 1. Fit: "does this integrate with what we already run" 2. Time-to-value: "how fast do we see pipeline generated move" 3. Price: "is this worth it relative to the alternative" 4. Internal buy-in: "who else needs to sign off on this" WHERE THEY ACTUALLY SPEND ATTENTION - LinkedIn (industry commentary, not just company pages) - marketing-specific newsletters (Marketing Brew, Demand Curve) - peer Slack communities Title reads as senior/executive: expect them to skim, not read. Lead with the outcome, not the feature list. TRIGGER EVENTS THAT CREATE DEMAND 1. Headcount freeze that makes the current approach to pipeline generated unsustainable 2. An acquisition or reorg that merges two different tool stacks 3. A missed target on pipeline generated two quarters running 4. A renewal date on an incumbent tool that is not delivering DEAL VELOCITY Estimated cycle: 6-9 weeks, based on 4 stakeholder(s) at roughly 2-3 weeks each beyond the first.

Frequently asked questions

Why does company size change the buying committee?

Because budget authority and risk tolerance scale with headcount, not with how much your product costs. A 15-person company has one person who can say yes and often is the person you are emailing. A 2,000-person company routes the same purchase through a department head, finance, IT security, procurement, and sometimes legal, regardless of whether the deal is $500 a month or $5,000, because the process exists to manage vendor risk, not price.

How is the deal cycle estimate calculated?

It scales with the number of stakeholders in the committee, not a flat guess per company-size bucket. Each additional stakeholder after the first adds roughly 2 to 3 weeks, because each one needs their own round of scheduling, review, and sign-off. A one-person committee closes in weeks; a seven-person enterprise committee stretches into a quarter, and the output shows the arithmetic behind that range.

Where do the objections come from?

From what each company-size tier is actually structured to protect against. Small companies push back on price and time-to-value first because cash is the constraint. Enterprise buyers raise security, compliance, and integration before price ever comes up, because a bad vendor choice is a career risk for whoever champions it internally. The order matters as much as the list, since leading with the wrong objection’s answer wastes the meeting.

Does the job title actually change the output, or just get inserted into a template?

It changes which metrics and attention channels get selected. The tool reads the job title for functional keywords (marketing, sales, product, engineering, finance, operations) and pulls that function’s specific KPIs and channels, and separately reads it for seniority signals (VP, Chief, Director, Head of) to decide whether the buyer behaves like an executive or an individual contributor. Two different titles in the same company size will produce different metrics and different attention channels.

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