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Customer Avatar Deep Research (Who Actually Buys)

Go beyond demographics to understand psychology, values, and decision-making. 52% better targeting when psychographics are explicit. Most companies target wrong people.

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Customer Avatar Deep Research (Who Actually Buys)

Go beyond demographics to understand psychology, values, and decision-making. 52% better targeting when psychographics are explicit. Most companies target wrong people.

customer-avatar

psychographics

buyer-research

targeting

personas

decision-making

Variables

Your Best/Happiest Customers (2-3 examples) *

Your Product *

Market Segment You Target *

Prompt

Current customers: 
Product: 
Market: 

Build accurate customer avatar:

1. Demographics (baseline only)
   - Title/role
   - Company size
   - Industry
   - Geography
   - Age range
   - Experience level
   
   Reality check: Demographics alone capture <10% of buying decision

2. Psychographics (what actually matters)
   - Values: What do they care about?
     - Speed vs quality vs cost vs innovation?
     - Risk-averse or risk-taking?
     - Pragmatic or perfectionist?
   
   - Motivations: Why do they buy?
     - Solve pain (defensive purchase)
     - Enable growth (offensive purchase)
     - Impress others (status purchase)
     - Reduce risk (safety purchase)
   
   - Fears: What keeps them up?
     - Being replaced by automation
     - Losing control/visibility
     - Being fooled/scammed
     - Missing competitive advantage
   
   - Success metrics: How do THEY measure success?
     - Revenue, cost savings, time saved, risk reduced?
     - What's the number that matters to their boss?

3. Decision-making style
   - Who decides? (individual contributor, manager, committee?)
   - How long is buying cycle? (days vs months vs years?)
   - What's their buying process?
     - Research first? Build business case? Just try?
     - Who needs to sign off?
   - What triggers a purchase?
     - Budget release? Crisis? New competitor?
   - What kills a deal?
     - Price? Feature missing? No ROI? Implementation risk?

4. Their job-to-be-done (functional + emotional)
   - Functional job: What are they trying to accomplish?
   - Emotional job: How do they want to feel?
     - Confident? In control? Innovative? Safe?
   - Social job: How do they want to be perceived?
     - Problem solver? Cutting edge? Prudent manager?

5. Where do they currently struggle?
   - Current solution (if any)
   - What's broken about it
   - Workarounds they've built
   - Cost of NOT fixing this
   - How bad does it need to be before they act?

6. Information sources
   - Where do they get information?
     - Peers? Analysts? Community? Google? Content?
   - Who do they trust?
     - Colleagues? Industry experts? Companies like yours?
   - What would convince them?
     - Case studies? Data? Trial? Peer recommendation?

7. The buying committee (if B2B)
   - Who's the champion (wants it)?
   - Who's the blocker (might say no)?
   - Who owns budget (will sign check)?
   - Who's affected (end user)?
   
   For each: What do they care about? How do you win them over?

8. Disqualification criteria
   - What makes someone NOT a good fit?
   - Budget too small? Wrong industry? Wrong use case?
   - Better to say "no" than waste time?

Examples

Input

{
  "bestCustomers": "Stripe, Plaid, Brex - all fast-growing fintech with strong engineers",
  "product": "Infrastructure monitoring platform optimized for real-time requirements",
  "market": "Series B+ fintech and high-growth startups"
}

Output

Complete customer avatar with demographics, psychographics, decision-making style, job-to-be-done analysis, struggle points, information sources, buying committee map, and disqualification criteria.

Sources

https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612

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