Buyer Persona Generator

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BUYER PERSONA: [Persona Name]
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PERSONA SNAPSHOT
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Name: "[Fictional Name]"
Role: [Job Title]
Type: [Economic Buyer / Technical Buyer / Champion / Blocker]
Priority: [Primary / Secondary / Tertiary]

DEMOGRAPHICS
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Job Title: [Specific titles]
Department: [Marketing, Engineering, Operations, etc.]
Seniority: [C-level, VP, Director, Manager, IC]
Reports To: [Who they report to]
Team Size: [Direct reports]
Company Size: [Employee count range]
Industry: [Vertical/sector]
Location: [Geography]
Age Range: [Typical age]
Income: [Salary range]
Education: [Typical background]

PSYCHOGRAPHICS
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Personality Type: [Analytical / Driver / Amiable / Expressive]
Decision Style: [Data-driven / Gut-feel / Consensus / Decisive]
Risk Tolerance: [Low / Medium / High]
Tech Savviness: [Early adopter / Mainstream / Laggard]
Information Sources:
  - [Where they learn: podcasts, newsletters, conferences]
  - [Who they follow: influencers, publications]
  - [Communities: LinkedIn groups, Slack, forums]

GOALS & MOTIVATIONS
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Professional Goals:
  1. [Primary goal - what they're measured on]
  2. [Secondary goal]
  3. [Career aspiration]

Personal Motivations:
  1. [What drives them personally]
  2. [Status, security, growth, etc.]

Success Metrics (KPIs):
  - [What metrics define their success]
  - [How they're evaluated]

PAIN POINTS & CHALLENGES
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Top Frustrations:
  1. [Biggest daily pain] - Severity: High
  2. [Second pain point] - Severity: Medium
  3. [Third pain point] - Severity: Medium

Current Solutions:
  - [What they use today]
  - [Workarounds they've created]
  - [Why current solutions fall short]

Triggers for Change:
  - [Events that make them seek solutions]
  - [Budget cycle timing]
  - [Organizational changes]

BUYING BEHAVIOR
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Role in Purchase: [Decision Maker / Influencer / User / Blocker]
Budget Authority: [Yes/No, up to $X]
Research Process:
  1. [How they discover solutions]
  2. [What they evaluate]
  3. [Who they consult]

Evaluation Criteria (ranked):
  1. [Most important factor]
  2. [Second factor]
  3. [Third factor]
  4. [Fourth factor]
  5. [Fifth factor]

Sales Cycle Stage: [Aware / Considering / Evaluating / Deciding]
Preferred Contact: [Email / Phone / LinkedIn / In-person]
Content Preferences: [Case studies / Demos / Whitepapers / Webinars]

OBJECTIONS & CONCERNS
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Common Objections:
  1. "[Objection]"
     → Response: [How to address]

  2. "[Objection]"
     → Response: [How to address]

  3. "[Objection]"
     → Response: [How to address]

Fears:
  - [What keeps them up at night about this decision]
  - [Career risk concerns]
  - [Implementation worries]

MESSAGING STRATEGY
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Value Proposition for This Persona:
"[One sentence tailored to their needs]"

Key Messages (prioritized):
  1. [Most resonant message]
  2. [Second message]
  3. [Third message]

Proof Points:
  - [Specific evidence that convinces them]
  - [Case study type they'd want]
  - [Stats/data that matter]

Tone: [Professional / Technical / Friendly / Authoritative]

CONTENT MAP
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Awareness Stage:
  - [Blog post topics]
  - [Educational content]

Consideration Stage:
  - [Comparison guides]
  - [Webinars]

Decision Stage:
  - [Case studies]
  - [ROI calculator]
  - [Demo]

QUOTES (What They Say)
─────────────────────────────────────────────────────────────
"[Direct quote expressing a pain point]"

"[Quote about what they want]"

"[Quote about their concerns]"

A DAY IN THEIR LIFE
─────────────────────────────────────────────────────────────
Morning: [What they do]
Midday: [Meetings, tasks]
Afternoon: [Priorities]
Challenges: [What frustrates them daily]
Wins: [What makes a good day]

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IDEAL CUSTOMER PROFILE (ICP)
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FIRMOGRAPHICS
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Company Size: [X-Y employees]
Revenue: [$X-$Y annual]
Industry: [Primary, Secondary, Tertiary]
Geography: [Regions/Countries]
Funding Stage: [Seed, Series A-D, Public, Bootstrapped]
Growth Rate: [Stable, Growing 20%+, Hypergrowth]

TECHNOGRAPHICS
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Tech Stack:
  - Uses: [Tools they must have]
  - Compatible: [Integration requirements]
  - Avoids: [Competing solutions]

Tech Maturity: [Early adopter / Mainstream / Conservative]
Data Infrastructure: [Cloud-first / Hybrid / On-prem]

ORGANIZATIONAL SIGNALS
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Buying Signals:
  - [Job postings for X role]
  - [Recent funding announcement]
  - [Expansion to new market]
  - [Technology change]

Pain Indicators:
  - [Signs they have the problem you solve]
  - [Operational challenges]
  - [Growth bottlenecks]

QUALIFICATION CRITERIA
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Must-Haves (Deal Breakers):
  ✓ [Criterion 1]
  ✓ [Criterion 2]
  ✓ [Criterion 3]

Nice-to-Haves (Bonus):
  ○ [Criterion 1]
  ○ [Criterion 2]

Disqualifiers:
  ✗ [Red flag 1]
  ✗ [Red flag 2]

ICP SCORING
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Score companies 1-100 based on:

Firmographics (30 points):
  - Company size: 10 pts
  - Revenue: 10 pts
  - Industry fit: 10 pts

Technographics (20 points):
  - Tech stack match: 10 pts
  - Integration needs: 10 pts

Buying Signals (30 points):
  - Active need: 15 pts
  - Budget timing: 15 pts

Engagement (20 points):
  - Website activity: 10 pts
  - Content engagement: 10 pts

Tiers:
  - A (80-100): Ideal fit, prioritize
  - B (60-79): Good fit, pursue
  - C (40-59): Okay fit, nurture
  - D (0-39): Poor fit, deprioritize

EXAMPLE COMPANIES
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Perfect Fit:
  1. [Company Name] - Why: [reasons]
  2. [Company Name] - Why: [reasons]

Good Fit:
  1. [Company Name] - Why: [reasons]

Not a Fit:
  1. [Company Name] - Why: [reasons]

Create a buyer persona for a CTO at a mid-market SaaS company
evaluating our data analytics platform

Create an ICP and 3 buyer personas for our product:
- Product: [description]
- Price point: [ACV]
- Current customers: [examples]
- Best customer traits: [what makes them successful]

Based on these 10 customer interviews, create buyer personas:
[Paste interview notes or summaries]

Our competitor targets enterprise. Create a persona for
mid-market companies underserved by their offering.