# Audience Profile

> Build detailed buyer personas. Use when: demographics, psychographics, behaviors, JTBD, content preferences.

- **Type:** Skill
- **Install:** `agentstack add skill-indranilbanerjee-digital-marketing-pro-audience-profile`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [indranilbanerjee](https://agentstack.voostack.com/s/indranilbanerjee)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [indranilbanerjee](https://github.com/indranilbanerjee)
- **Source:** https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/audience-profile
- **Website:** https://indranil.in

## Install

```sh
agentstack add skill-indranilbanerjee-digital-marketing-pro-audience-profile
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# /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 demographic profile: age range, role/title, company size (B2B), income range, geography, education
4. Develop psychographic profile: values, motivations, fears, aspirations, identity markers
5. Map behavioral patterns: where they spend time online, content formats preferred, purchase behavior, decision-making process
6. Define jobs-to-be-done: functional, emotional, and social jobs the product helps accomplish
7. Identify objections and barriers to purchase with counter-messaging
8. Document the buyer journey: trigger events, research process, evaluation criteria, decision influencers
9. Specify content preferences: platforms, formats, tone, topics they engage with
10. Give the persona a name and narrative summary for team alignment

## Output

A structured buyer persona document containing:

- Persona name and one-paragraph narrative
- Demographic snapshot
- Psychographic profile with motivations and values
- Jobs-to-be-done framework (functional, emotional, social)
- Day-in-the-life scenario
- Buyer journey map with touchpoints and decision criteria
- Objections and counter-messaging guide
- Content and channel preferences
- Messaging do's and don'ts for this persona

## Agents Used

- **marketing-strategist** — Persona development, JTBD framework, buyer journey mapping, audience segmentation

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [indranilbanerjee](https://github.com/indranilbanerjee)
- **Source:** [indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro)
- **License:** MIT
- **Homepage:** https://indranil.in

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-indranilbanerjee-digital-marketing-pro-audience-profile
- Seller: https://agentstack.voostack.com/s/indranilbanerjee
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.