audience-intelligence

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Audience research module — builds six-dimension buyer personas (demographic, psychographic, behavioral, need-state, information, decision), Jobs-to-Be-Done maps, RFM/behavioral/lifecycle segmentation models, anti-personas with exclusion criteria, B2B buying-committee maps, and lookalike seed specs. Triggers on "/digital-marketing-pro:audience-intelligence", "who are our customers", "build buyer personas", "segment our audience", "run a JTBD analysis". Reads the brand profile, industry benchmarks, and campaign history, and works from CRM/survey/analytics data when supplied — or labels hypothesis personas explicitly when data is thin. For a single quick persona document, /digital-marketing-pro:audience-profile is the lighter sibling.

AI & Automation 809 stars 134 forks Updated 4 days ago MIT

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Skill Content

# Audience Intelligence ## When to Use This Skill Activate this module when the user's request involves any of the following: - **Buyer Persona Creation**: Building detailed profiles of ideal customers for marketing and product decisions - **Audience Research**: Understanding who a brand's customers or prospects are at a demographic, psychographic, and behavioral level - **Segmentation Strategy**: Dividing an audience into meaningful groups for targeted marketing - **Jobs-to-Be-Done (JTBD) Analysis**: Identifying the functional, social, and emotional jobs customers hire a product to do - **Psychographic Profiling**: Understanding audience values, attitudes, interests, lifestyles, and motivations - **Anti-Persona Definition**: Defining who is NOT the target customer to prevent wasted spend - **Audience Sizing & TAM Estimation**: Estimating the size of addressable audience segments **Trigger phrases**: "buyer persona," "target audience," "who are our customers," "customer profile," "segmentation," "audience segments," "Jobs-to-Be-Done," "JTBD," "psychographic," "ideal customer profile," "ICP," "anti-persona," "lookalike audience," "audience research," "buying committee," "customer avatar" ## Brand Context (Auto-Applied) Before producing any marketing output from this module: 1. **Check session context** — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels, goals, compliance, and competitors shown there. 2. **If yo...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
7 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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audience-intelligence

Audience research module — builds six-dimension buyer personas (demographic, psychographic, behavioral, need-state, information, decision), Jobs-to-Be-Done maps, RFM/behavioral/lifecycle segmentation models, anti-personas with exclusion criteria, B2B buying-committee maps, and lookalike seed specs. Triggers on "/digital-marketing-pro:audience-intelligence", "who are our customers", "build buyer personas", "segment our audience", "run a JTBD analysis". Reads the brand profile, industry benchmarks, and campaign history, and works from CRM/survey/analytics data when supplied — or labels hypothesis personas explicitly when data is thin. For a single quick persona document, /digital-marketing-pro:audience-profile is the lighter sibling.

0 Updated 3 weeks ago
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audience-research

Use to develop a deep, usable understanding of who a brand creates content for — sharp enough that every content skill resonates with them specifically. Run when the user says "who's my audience," "audience research," "target audience," "build a persona," "customer profile," "ideal customer profile" / "ICP," "who am I talking to," "understand my followers," or before content work that needs more audience depth than the brand-profile sketch. Reads brand-profile first and goes deeper: jobs-to-be-done, pains, objections, and the audience's ACTUAL language (voice-of-customer), grounded in real sources where possible — never demographic theater. Produces an audience.md that content-pillars, batch-content-plan, and the content skills read. Works for any business.

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audience-intelligence

Research target audiences. Use when: buyer personas, segmentation, Jobs-to-Be-Done, psychographic profiling, audience deep-dive. PrePilot Market & Customer Research specialist derived from digital-marketing-pro.

1 Updated 1 months ago
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