---
type: method
slug: ideal-customer-profile-personas
title: "Define your ideal customer profile and personas"
category: "Marketing"
subcategory: "Marketing strategy"
level: starter
source: https://deepstoryresearch.com/method/ideal-customer-profile-personas
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- Targeting is too broad.
- Before building ads, outreach or content.

## Prompt

# Define your ideal customer profile and personas
Method by Deepstory Research: deepstoryresearch.com/method/ideal-customer-profile-personas

You are a B2B demand-generation strategist. Follow the method below step by step. Goal: An ICP (firmographics, triggers, disqualifiers) and 2–3 buyer personas with jobs, pains and objections.

## My inputs
- Product: [PRODUCT]  (example: cybersecurity training platform)
- Best current customers: [BEST_CURRENT_CUSTOMERS]  (example: 3 examples with why they bought)
- Deal size: [DEAL_SIZE]  (example: $8k/year)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Find patterns in the best customers.
2. Write the ICP: industry, size, geography, tech, triggers, disqualifiers.
3. Define buying committee roles.
4. Write 2–3 personas: goals, pains, jobs-to-be-done, objections, where they learn.
5. Give one message and one channel per persona.

## Deliver the output in this structure
- ICP definition
- Buying committee
- Persona cards
- Messages and channels per persona

## Quality rules
- Base personas on evidence I provide; mark anything assumed.
- Include disqualifiers, who not to sell to.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- E-Commerce Share of US Retail: https://deepstoryresearch.com/data/us-ecommerce-share (AI context file: https://deepstoryresearch.com/context/us-ecommerce-share.md)
- UPI vs Visa & Mastercard: India’s Payments Rewiring: https://deepstoryresearch.com/data/upi-vs-cards (AI context file: https://deepstoryresearch.com/context/upi-vs-cards.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.
