Purpose
Aggregate audience insights from all sources to refine persona understanding and inform marketing strategy.
Usage
- •
/audience-intel- Full audience analysis - •
/audience-intel [persona]- Focus on specific persona/segment
Steps
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Gather audience data:
- •Search 00-Inbox/Meetings/ for customer conversations
- •Check People/ for customer person pages
- •Reference
/customer-inteloutput if available
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Identify patterns:
- •Common roles/titles
- •Shared pain points
- •Similar goals/motivations
- •Buying triggers
- •Decision criteria
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Segment insights:
- •Group by persona/role
- •Note differences between segments
- •Identify underserved audiences
- •
Extract messaging insights:
- •What language do they use?
- •What problems do they describe?
- •What outcomes do they want?
- •What objections do they raise?
- •
Generate intelligence report with:
- •Persona patterns
- •Pain points by segment
- •Motivations and goals
- •Messaging implications
- •Content recommendations
Output Format
markdown
# 👥 Audience Intelligence **Period:** [Timeframe] **Interactions analyzed:** [Count] ## Persona Patterns ### [Persona Name] (Primary Audience) - **Typical roles:** [Titles] - **Company size:** [Range] - **Top pain points:** 1. [Pain point 1] 2. [Pain point 2] - **Key motivations:** [What drives them] - **Decision criteria:** [What they care about] ## Messaging Insights ### Language They Use - "[Quote 1]" - [Persona] - "[Quote 2]" - [Persona] ### Problems They Describe 1. [Problem description in their words] 2. [Problem description] ## Content Recommendations 1. [Content idea] - Addresses [pain point] for [persona] 2. [Content idea] - Targets [motivation] for [persona]