Enterprise Feature: The Marketing Suite is available in cbrowser-enterprise.

The Marketing Suite enables influence effectiveness research. It tests which design, copy, and UX patterns influence which buyer segments. Built on CBrowser's cognitive simulation.

Quick Start

MCP Server (Claude Desktop)

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "cbrowser-enterprise": {
      "command": "npx",
      "args": ["cbrowser-enterprise", "mcp-server"]
    }
  }
}

CLI

# List marketing personas
npx cbrowser-enterprise marketing personas list

# Create a campaign
npx cbrowser-enterprise marketing campaign create \
  --name "Q1 Landing Page Test" \
  --variants "https://site.com/a,https://site.com/b" \
  --personas "impulse-shopper,enterprise-buyer" \
  --goal "sign up for trial"

MCP Tools

The Enterprise MCP server includes all base CBrowser tools plus 8 marketing-specific tools:

Tool	Description
`marketing_campaign_create`	Create multi-variant × multi-persona campaigns
`marketing_campaign_run`	Execute campaign journeys
`marketing_influence_matrix`	Generate effectiveness matrix
`marketing_lever_analysis`	Analyze persuasion pattern effectiveness
`marketing_funnel_analyze`	Compare conversion pathways
`marketing_audience_discover`	Discover optimized audience segments
`marketing_compete`	Compare against competitors
`marketing_personas_list`	List available marketing personas

Marketing Personas

B2B Personas

Persona	Description	Effective Patterns
`enterprise-buyer`	Risk-averse decision-maker focused on ROI	authority, social_proof, default_bias
`startup-founder`	High risk tolerance, wants to try immediately	scarcity, commitment, reciprocity
`procurement-manager`	Follows process, needs comparison tables	authority, social_proof
`technical-evaluator`	Wants docs and API specs, hates marketing fluff	commitment, reciprocity

Consumer Personas

Persona	Description	Effective Patterns
`impulse-shopper`	Emotional buyer, responds to urgency	scarcity, social_proof, reciprocity
`price-researcher`	Compares extensively before buying	commitment, authority
`loyal-customer`	Returning customer, values consistency	reciprocity, commitment
`skeptical-first-timer`	Cautious, needs trust signals	authority, social_proof

Influence Matrix

The influence matrix shows conversion effectiveness for each variant × persona combination:

┌────────────────────────────────────────────────────────────────┐
│                    INFLUENCE EFFECTIVENESS MATRIX              │
├────────────────────────────────────────────────────────────────┤
│                  │ Variant A    │ Variant B    │ Variant C     │
├──────────────────┼──────────────┼──────────────┼───────────────┤
│ enterprise-buyer │ ✓ 85% (12s)  │ ✗ 23% (45s)  │ ✓ 78% (18s)   │
│ impulse-shopper  │ ✓ 92% (8s)   │ ✓ 67% (22s)  │ ✓ 88% (10s)   │
│ skeptical-first  │ ✗ 34% (38s)  │ ✓ 71% (25s)  │ ✗ 45% (32s)   │
└────────────────────────────────────────────────────────────────┘

Lever Analysis

Identifies which psychological levers (persuasion patterns) worked for each persona:

Effective Patterns:

Authority: +23% conversion for enterprise-buyer
Social proof: +18% for skeptical-first-timer
Scarcity: +31% for impulse-shopper

Backfiring Patterns:

Scarcity on enterprise-buyer: -15% (creates pressure aversion)
Reciprocity on procurement-manager: -8% (seen as manipulation)

Funnel Optimization

Compare different conversion pathways:

# Compare pricing-first vs demo-first vs trial-first
npx cbrowser-enterprise marketing funnel analyze \
  --entry "https://site.com" \
  --paths "pricing-first,demo-first,trial-first" \
  --goal "complete purchase" \
  --persona "enterprise-buyer"

Audience Discovery

Discover who your site is actually optimized for:

npx cbrowser-enterprise marketing audience discover \
  --url "https://site.com" \
  --goal "complete signup" \
  --samples 50

Returns segmentation:

Optimized for: Personas with high conversion
Underserved: Personas with low conversion
Almost-converts: Personas that abandon near completion

Competitive Benchmarking

Compare influence effectiveness across competitor sites:

npx cbrowser-enterprise marketing compete \
  --sites "https://yoursite.com,https://competitor1.com,https://competitor2.com" \
  --goal "sign up for trial" \
  --persona "startup-founder"

Integration with Cognitive Journeys

Marketing Suite builds on CBrowser's Cognitive User Simulation:

Each campaign run uses cognitive_journey_init internally
Friction points, abandonment, and emotional state are tracked
Persuasion pattern encounters are detected and logged
Results aggregate into the influence matrix

Marketing Suite