audience-profile
SolidBuild detailed buyer personas. Use when: demographics, psychographics, behaviors, JTBD, content preferences.
AI & Automation 136 stars
37 forks Updated 3 days ago MIT
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# /digital-marketing-pro:audience-profile
## Purpose
Build a rich, actionable buyer persona that goes beyond basic demographics. Captures psychographic drivers, behavioral patterns, jobs-to-be-done, objections, and content consumption preferences to inform all marketing activities.
## Input Required
The user must provide (or will be prompted for):
- **Product/service**: What the brand offers
- **Customer type**: B2B buyer, B2C consumer, or both
- **Existing data**: Any customer research, survey data, analytics demographics, CRM data, or interview insights
- **Number of personas**: How many distinct personas to create (recommend 2-4)
- **Hypothesis**: Who the user thinks their ideal customer is (starting point)
## Process
1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
2. Gather inputs through structured questions if data is limited
3. Build d...
Details
- Author
- indranilbanerjee
- Repository
- indranilbanerjee/digital-marketing-pro
- Created
- 4 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- MIT
Integrates with
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