audience-intelligence

audience-intelligence is a skill for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 162 tokens per session (3,128 once invoked), scanned A, original, MIT.

A marketing research module for describing customers and dividing them into useful groups. It covers buyer personas, motivations, behavior, lifecycle stages, and business buying roles.

In plain words
What is it for?
Creating customer profiles, audience segments, Jobs-to-Be-Done maps, anti-personas, buying-committee maps, and lookalike-audience specifications.
Why use it?
It helps clarify who the product is for, what those people need, and which audiences should be excluded or prioritized.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: reads .claude/ paths.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the digital-marketing-pro plugin — 154 skills, 18 commands, 24 agents shipped together

Good fit Creating customer profiles, audience segments, Jobs-to-Be-Done maps, anti-personas, buying-committee maps, and lookalike-audience specifications.

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Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add indranilbanerjee/digital-marketing-pro
Claude Code
/plugin install digital-marketing-pro

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 154 skills, 18 commands, 24 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for audience-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/audience-intelligence/github.svg)](https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/audience-intelligence)
Your own site
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/audience-intelligence"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/audience-intelligence/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for audience-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/audience-intelligence"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/audience-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,128 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00162 $0.03128
Opus 5 $0.00081 $0.01564
Sonnet 5 $0.00032 $0.00626
Haiku 4.5 $0.00016 $0.00313

Measured 11d ago against content hash 311b85a7e693, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

audience-intelligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/audience-intelligence/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 you need the full profile, read: ~/.claude-marketing/brands/{slug}/profile.json
  3. Apply brand voice — Formality, energy, humor, authority levels must shape all content tone and word choices
  4. Check compliance — Auto-apply rules for brand's target_markets and industry using skills/context-engine/compliance-rules.md
  5. Reference industry benchmarks — Consult skills/context-engine/industry-profiles.md for the brand's industry
  6. Use platform specs — Reference skills/context-engine/platform-specs.md for character limits and format requirements
  7. Check campaign history — Run python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns before planning new work
  8. If no brand exists, say: "No brand profile found. Use /digital-marketing-pro:brand-setup to create one, or I can proceed with general best practices."
  9. Check brand guidelines — If ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json exists, load and enforce: restrictions.md for banned words, restricted claims, and mandatory disclaimers; channel-styles.md for channel-specific tone overrides (may differ from base voice); messaging.md for approved key messages, taglines, and positioning language; voice-and-tone.md for detailed voice rules beyond the 4 numeric scores. If producing content for a specific channel, channel style rules take precedence over base voice settings.

Read the full file on GitHub · 177 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 177 lines · 162 tokens per session scan A 311b85a7e693

Subscribe to this mod's changes

audience-intelligence is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 4d ago), licensed MIT. It adds 162 tokens to every session and 3,128 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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