Build detailed ideal customer profiles with pain points, objections, buying triggers, and messaging angles. Includes community research to find where ICPs gather online and extract their exact language. Use when researching audiences, creating buyer personas, or developing targeted messaging.
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Build comprehensive ideal customer profiles for targeted marketing, including community discovery and voice-of-customer language extraction.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/icp-research ~/.claude/skills/
Demographics:
Psychographics:
Buying Behavior:
| Category | Questions to Answer |
|---|---|
| Time | What takes too long? What manual work do they hate? |
| Money | Where are they wasting budget? What costs too much? |
| Risk | What keeps them up at night? What could go wrong? |
| Quality | Where is output inconsistent or error-prone? |
| Growth | What blocks them from scaling? |
Score each pain point: Frequency (1-10) x Intensity (1-10) = Priority Score
| Objection Type | Response Strategy |
|---|---|
| Price | ROI calculation, cost of inaction, payment flexibility |
| Time | Quick setup, done-for-you options, time-to-value metrics |
| Trust | Social proof, case studies, free trial/pilot, guarantees |
| Need | Cost of status quo, competitor pressure, market trends |
| Authority | Executive summary, ROI one-pager, pilot proposal |
External triggers:
Internal triggers:
Discover where your ICP gathers online and extract their exact language.
Platforms to search:
Search templates:
"[industry/role] frustrating OR annoying"
"why is [process] so hard"
"alternatives to [competitor]"
"[tool] vs [tool]"
"best [tool type] for [use case]"
"I switched from [tool] because"
What to extract:
Classify community members:
For each pain point, create:
See REFERENCE.md for the complete ICP profile template.
For templates and frameworks, see REFERENCE.md.
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A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
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Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
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Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
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Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
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Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.
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Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.
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