New Feature: Audience Personas & Personalization

Priority: 🟡 Pre-launch
Area: Strategy / Content
Competitive Reference: Jasper (Audiences + Personalization Agent), Copy.ai (Account-Based Marketing + Inbound Lead Processing)

Why This Matters

Jasper’s Personalization Agent creates content tailored to specific audience segments. Copy.ai’s ABM workflows hyper-target by account, persona, and industry. Leadmetrics generates content for a single “target audience” text field — there’s no structured audience segmentation or persona-based content variation.

What Leadmetrics Has Today

ClientContext.targetAudience — free text field (e.g., “SMB owners in India”)
audience-analyst agent worker — exists but only analyzes audience data, doesn’t create personas
Lead and LeadContact models — CRM data exists but is not used to inform content
Campaign model has no audience/persona targeting field
Content agents receive the same context regardless of which audience segment the content targets

Proposed Implementation

Step 1 — Audience Persona Model


model AudiencePersona {
  id              String   @id @default(cuid())
  tenantId        String
  name            String   // e.g., "Tech-Savvy Startup Founder"
  demographics    Json     // age range, location, income, education
  psychographics  Json     // values, interests, pain points, goals
  channels        String[] // preferred channels: linkedin, email, instagram
  contentPrefs    Json     // tone preference, content length, format
  buyerStage      String   // awareness, consideration, decision
  isActive        Boolean  @default(true)
  createdAt       DateTime @default(now())
  updatedAt       DateTime @updatedAt
  tenant          Tenant   @relation(fields: [tenantId], references: [id])
}

Step 2 — Persona-Aware Content Generation

Add audiencePersonaId to Activity model. When an activity targets a specific persona:

Agent receives the full persona context in the prompt
Tone, vocabulary, and examples are adapted to the persona
Platform selection is informed by persona’s preferred channels
Content length adapts to persona’s content preferences

Step 3 — Auto-Persona Generation from Data

Enhance audience-analyst agent to:

Analyze CRM lead data (demographics, behavior, source)
Analyze Google Analytics audience data (if GA4 connected)
Cluster leads into 3–5 personas automatically
Generate persona descriptions and content preferences

Step 4 — Dashboard UI

Personas page under Strategy section
- Card view with persona avatar, name, key traits
- “Generate Personas” button that runs the audience-analyst agent
- Manual create/edit forms
Persona selector on content creation forms (Activity, Campaign)
Persona filter on content calendar and deliverables list
Persona performance — which personas drive the most engagement (from analytics data)

Brand Voice Scoring — brand voice + persona voice must harmonize
Content Repurposing Engine — repurpose content for different personas
Lead Scoring & Nurture — persona informs lead scoring model