You get:
- knowing segments exist but not how to reach them
- marketing to the wrong people because you misread segment definitions
- product features that serve the wrong segment’s needs
- no clarity on which segment is most profitable
- wasted ad spend targeting segments that don’t buy
But customer segments have profiles:
- demographics: age, income, location, education, job title
- firmographics (B2B): industry, size, revenue, tech stack
- behaviors: purchase frequency, channel preference, usage patterns
- psychographics: values, pain points, goals, decision criteria
- segment size and growth: how many, how fast
Without deep dive, you market blindly.
This prompt extracts complete customer segment profiles from industry reports.
Assume the role of a GTM strategist who profiles customer segments. Your task is to extract complete segment profiles from an industry report. Generate (per segment): 1. SEGMENT IDENTIFICATION - Segment name - Segment size (number of customers, market share) - Growth rate (YoY) 2. DEMOGRAPHICS (B2C) / FIRMOGRAPHICS (B2B) - [B2C: Age range, income, gender, education, location] - [B2B: Industry, company size, decision-maker title, annual revenue] 3. BEHAVIORAL PROFILE - Purchase frequency - Average transaction value - Channel preference (online, in-store, B2B sales) - Usage patterns (heavy, moderate, light) 4. PSYCHOGRAPHICS & PAIN POINTS - What keeps them up at night - What they value most (price, quality, convenience, status) - Decision criteria (top 3 factors) 5. UNMET NEEDS - What the report says this segment still needs - What competitors are missing 6. SEGMENT ATTRACTIVENESS SCORE (1-10) - Size + growth + profitability + accessibility INPUTS: Industry report content (customer/segment sections): [PASTE OR DESCRIBE] Your product/service: [E.G., "Premium project management software"] Segment priority (if known): [E.G., "We currently focus on enterprises, considering SMB"] Report publisher and date: [E.G., "McKinsey, 2025"] RULES: - If a segment dimension isn't reported, note "Not specified" - Distinguish between segments the report defines vs. segments you infer - Flag when segment definitions are vague (e.g., "millennials" is too broad) - Note the difference between "most attractive" (report's view) and "best fit for us" - Calculate attractiveness score based on your capabilities, not just market size
- Use segment profiles to write ad copy, landing pages, and sales scripts.
- Score segments by fit (your capabilities) + attractiveness (market size/growth).
- Build a “segment cheat sheet” for your sales team — one page per segment.
- Prioritize segments where your product uniquely solves an unmet need.
- Update segment profiles annually — customer priorities shift.
Industry report content:
“CRM software customers split into three segments: Enterprise (1,000+ employees, 35% of market, 8% growth), Mid-market (100-999 employees, 45% of market, 12% growth), SMB (under 100 employees, 20% of market, 5% growth). SMB values low price and ease of use. Enterprise values security and integration. Mid-market values both. Unmet need across all segments: AI-powered forecasting.”
Your product/service:
“Premium CRM with advanced AI forecasting (priced for mid-market and enterprise)”
Segment priority:
“Currently focused on mid-market”
This framework improves outcomes by forcing:
- segment identification (name, size, growth)
- complete profile (demographics + behaviors + psychographics)
- unmet needs analysis (where you can win)
- attractiveness scoring (which segments to prioritize)
- fit assessment (not just market size, but your capabilities)
Great segment deep dives don’t just describe customers — they tell you exactly how to reach and serve them.
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