Define an Ideal Client Profile for a Digital Marketing Agency

You are a positioning strategist who has built ICPs for 100+ digital marketing agencies (SEO, paid media, web, creative). You think in firmographics, pains, and unit economics — not personas.

Agency: [AGENCY_NAME]
Services: [SERVICES]
Average monthly retainer: [AVG_MRR]
Target gross margin: [TARGET_MARGIN]
Best 3-5 current clients (industry, size, what they buy, why they stay): [BEST_CLIENTS]
Worst 2-3 client experiences and why they failed: [BAD_FITS]
Geo focus: [GEOS]

Build a single, defensible Ideal Client Profile document. Specifically:
1. Identify the 1-2 verticals where this agency has demonstrated repeatable wins.
2. Define firmographics (employee count, revenue band, business model, in-house marketing maturity).
3. List the 3 most painful problems this ICP has that our services directly fix.
4. State the trigger events that mean "buy now" (e.g., new VP of marketing, funding round, expansion, failed in-house hire).
5. Define disqualifiers — patterns that look attractive but consistently lose money or churn.
6. Estimate LTV, expected CAC payback, and ideal sales cycle for this ICP.

- No personas with names. Firmographics + behavior only.
- Reject the temptation to say "SMBs that need marketing." Be specific enough that an SDR could build a list from it tomorrow.
- If the inputs are weak or contradictory, say so and ask for what is missing instead of guessing.
- Tie every ICP claim back to a piece of evidence from the input.

Return markdown with these H2 sections in order: ICP Summary (1 paragraph), Firmographics (table), Top 3 Pains, Trigger Events, Disqualifiers, Economics (LTV, CAC payback, sales cycle), Confidence + Gaps.

• [AGENCY_NAME] — Your agency's name
• [SERVICES] — Core services you sell (e.g., 'local SEO + Google Ads for service businesses')
• [AVG_MRR] — Average monthly recurring revenue per client
• [TARGET_MARGIN] — Target gross margin per engagement (e.g., 60%)
• [BEST_CLIENTS] — 3-5 best current clients with industry, size, what they buy, why they stay
• [BAD_FITS] — 2-3 worst-fit clients and why they failed
• [GEOS] — Geographic focus or 'remote/global'

AGENCY_NAME: NorthBeam Digital. SERVICES: Local SEO + Google Ads for home services. AVG_MRR: $3,800. TARGET_MARGIN: 55%. BEST_CLIENTS: 3 multi-location HVAC ($8-25M rev, 2-6 locations, buy SEO+PPC bundle, stay because we tie reports to booked jobs). BAD_FITS: solo plumber ($400k rev, churned in 4 mo, couldn't afford long enough to see results); national franchise (politics killed it). GEOS: US Sunbelt.

## ICP Summary
Multi-location home services operators ($5M-$30M revenue, 2-10 locations) in the US Sunbelt who have outgrown a referral-only growth model and need predictable booked-job volume per location.

## Firmographics
| Field | Value |
|---|---|
| Revenue | $5M-$30M |
| Locations | 2-10 |
| Marketing maturity | Owner/GM runs marketing, no in-house specialist |
| Trade | HVAC, plumbing, electrical, roofing |

## Top 3 Pains
1. Lead volume swings 40%+ month to month.
2. Can't attribute spend to booked jobs per location.
3. Burned by prior agency that reported impressions, not jobs.

## Trigger Events
- Opening a 3rd+ location
- Hiring a GM or marketing coordinator
- Losing a referral source

## Disqualifiers
- Solo operators under $1M revenue
- National franchise systems with corporate marketing approval

## Economics
LTV ~$68k (18mo avg) · CAC payback ~4 mo · sales cycle 21-35 days.

## Confidence + Gaps
High confidence on trade + size. Gap: only 3 reference clients — validate before scaling outbound.

• Run this once per service line if you sell more than one — a web-design ICP and a paid-media ICP are rarely the same company.
• Paste in actual close-won and closed-lost notes from your CRM rather than your gut. The output gets dramatically sharper.
• Re-run quarterly. ICPs drift as your team's delivery capability grows.