Audience Intelligence

Audience Intelligence

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/. Run them with Python 3.10 or newer: python, or python3 where python is not found (macOS, many Linux systems).

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.

Do not ask the user for information that already exists in their brand profile.

Required Context

Before executing audience intelligence work, gather:

1. Business Description: What does the company sell, to whom, and what problem does it solve?
2. Existing Customer Data: Any analytics, CRM data, survey results, or customer interviews available