---
name: product-marketing
description: "Drive product go-to-market strategy including positioning, messaging, launch planning, competitive intelligence, and sales enablement. Use when creating GTM plans, developing product positioning, building competitive battle cards, launching new features, or creating sales enablement materials. Triggers on phrases like 'go-to-market', 'GTM strategy', 'product launch', 'positioning statement', 'messaging framework', 'competitive battle card', 'sales enablement', 'product messaging', 'feature launch', 'value proposition', 'target persona', 'product narrative'."
---

# Product Marketing & Go-to-Market

Develop and execute go-to-market strategies for products and features including positioning, messaging, launch planning, competitive intelligence, and comprehensive sales enablement programs.

## Workflow

### Phase 1: Market Research & Positioning

1. **Market analysis**:
   - TAM/SAM/SOM sizing and growth trends
   - Competitive landscape mapping (direct, indirect, adjacent competitors)
   - Customer segmentation and persona refinement
   - Industry trends and regulatory considerations
2. **Positioning development**:
   - Positioning statement: "For [target] who [need], [product] is [category] that [benefit]. Unlike [alternative], we [differentiator]."
   - Value proposition canvas (customer jobs, pains, gains vs. product features)
   - Messaging hierarchy (primary, secondary, tertiary messages)
   - Proof points and evidence (data, case studies, testimonials)
3. **Pricing strategy**:
   - Value-based pricing analysis
   - Competitive pricing benchmark
   - Packaging and tier design
   - Discount and promotion guidelines

### Phase 2: Go-to-Market Planning

1. **Launch planning**:
   - Launch type classification: major (new product), minor (feature), stealth (quiet)
   - Timeline: T-minus 90 days (major), T-minus 30 days (minor)
   - Cross-functional launch team: product, marketing, sales, support, success
   - Launch readiness checklist
2. **Sales enablement**:
   - Sales battlecards (competitor comparisons, objection handling)
   - Product demos and talking points
   - FAQ documents and one-pagers
   - Training sessions (sales, support, success teams)
3. **Marketing campaigns**:
   - Content assets: landing pages, ebooks, webinars, case studies
   - Campaign calendar and channel mix
   - Paid media strategy
   - PR and analyst relations

### Phase 3: Launch Execution & Post-Launch

1. **Launch execution**:
   - Day-1 readiness verification (all systems, all teams)
   - Coordinated content publishing and distribution
   - Sales team activation (emails, calls, meetings)
   - Real-time monitoring (website traffic, support tickets, sales inquiries)
2. **Post-launch measurement**:
   - Adoption metrics (sign-ups, activations, feature usage)
   - Revenue impact (pipeline generated, deals influenced)
   - Market response (press coverage, social mentions, analyst feedback)
   - Customer feedback and sentiment analysis
3. **Iteration and optimization**:
   - Post-launch retrospective (what worked, what didn't)
   - Messaging refinement based on market feedback
   - Sales collateral updates based on common objections
   - Ongoing competitive monitoring

## Templates

### GTM Launch Plan

```
GO-TO-MARKET PLAN — [Product/Feature Name]
============================================
Launch Type: [Major / Minor / Stealth] | Target Date: [Date]
Product Lead: [Name] | PMM Lead: [Name]

EXECUTIVE SUMMARY:
  What: [1-2 sentence description of product/feature]
  Why: [Business objective — revenue target, market response, customer need]
  Who: [Target persona(s) and segment(s)]
  When: [Launch date and phased rollout plan]
  How much: [Revenue target, adoption target, pipeline target]

POSITIONING & MESSAGING:
  Positioning statement:
    "For [data leaders at mid-market companies] who struggle with [fragmented
    data sources and slow reporting], [Product X] is [an intelligent analytics
    platform] that [automatically unifies data and generates actionable insights].
    Unlike [manual spreadsheet processes or legacy BI tools], we [deliver real-time
    insights with zero setup using AI-powered data connections]."

  Messaging hierarchy:
    Primary message: "Turn your scattered data into clear decisions — automatically"
    Secondary messages:
      • "Connect to 200+ data sources in minutes, not months"
      • "AI-powered insights surface what matters before you ask"
      • "Built for speed: from data to decision in under 5 minutes"

  Target personas:
    1. Primary: VP of Analytics / Head of BI (decision maker)
    2. Secondary: Data Analyst / Business Analyst (end user)
    3. Influencer: CTO / CIO (technical evaluator)

COMPETITIVE LANDSCAPE:
  Direct competitors: Tableau, Looker, Power BI
  Indirect competitors: Spreadsheets, custom solutions, consultants
  Key differentiators: AI automation, speed to value, ease of use
  Weaknesses to manage: Brand awareness, ecosystem maturity

LAUNCH TIMELINE (T-Minus 90 Days):
  T-90 to T-75: Foundation
    ✓ Finalize positioning and messaging
    ✓ Complete competitive analysis and battlecards
    ✓ Build landing pages and core content assets
    ✓ Internal announcement and executive alignment

  T-75 to T-45: Enablement
    ✓ Sales training sessions (2 sessions, all regions)
    ✓ Support team training and FAQ documentation
    ✓ Create demo environment and sandbox
    ✓ Draft press release and analyst briefings

  T-45 to T-15: Campaign Build
    ✓ Email campaigns prepared (announcement, nurture sequences)
    ✓ Webinar scheduled and promoted
    ✓ Paid media campaigns configured
    ✓ Customer beta feedback incorporated

  T-15 to T-0: Final Preparation
    ✓ Content QA and accessibility review
    ✓ Sales kickoff meeting
    ✓ Press embargo briefing
    ✓ Launch day runbook finalized
    ✓ Support team briefed on known issues

  T-0: Launch Day
    → Landing pages live
    → Email blast to target list
    → Press release distributed
    → Social media campaign activation
    → Sales team notified and activated

  T+1 to T+30: Measurement
    → Daily: adoption metrics, support ticket volume
    → Weekly: pipeline impact, campaign performance
    → T+30: full post-launch review and optimization plan

LAUNCH READINESS CHECKLIST:
  Product:
    ☐ Feature complete and QA tested
    ☐ Documentation updated
    ☐ Pricing and packaging configured
    ☐ Billing system updated

  Marketing:
    ☐ Landing pages live and tested
    ☐ Campaign assets created and scheduled
    ☐ Press release approved
    ☐ Social media queue loaded

  Sales:
    ☐ Battlecards distributed
    ☐ Training completed (100% attendance)
    ☐ Demo environment ready
    ☐ CRM updated (features, pricing, targeting)

  Support:
    ☐ Knowledge base articles published
    ☐ Support team trained
    ☐ Escalation process documented
    ☐ Monitoring dashboards configured
```

### Competitive Battlecard Template

```
COMPETITIVE BATTLECARD — Competitor: [DataViz Pro]
====================================================
Last Updated: [2025-01-10] | Owner: [PMM Team]

COMPETITOR OVERVIEW:
  Company: DataViz Pro | Founded: 2015 | Employees: ~500
  Market position: Established BI player, strong in enterprise
  Pricing: $50/user/month (Pro), $100/user/month (Enterprise)
  Target customer: Mid-market to enterprise, IT-driven purchases
  Recent news: Series C ($50M), AI feature announcement (Q4 2024)

STRENGTHS (acknowledge honestly):
  • Strong brand recognition in enterprise
  • Extensive connector library (500+)
  • Deep customization capabilities
  • Strong partner ecosystem
  • Established customer base

WEAKNESSES (our attack vectors):
  • Complex setup (avg 8 weeks to value)
  • Steep learning curve (requires dedicated analyst)
  • Expensive at scale ($600K+/year for 100 users)
  • Slow innovation cycle (quarterly releases)
  • Poor mobile experience

HEAD-TO-HEAD COMPARISON:
┌──────────────────────┬─────────────────┬──────────────────┐
│ Capability           │ Our Product     │ DataViz Pro      │
├──────────────────────┼─────────────────┼──────────────────┤
│ Time to value        │ < 5 minutes     │ 6-8 weeks        │
│ Setup complexity     │ Zero config     │ IT implementation│
│ AI-powered insights  │ Native (real-time)│ Beta (Q1 2025) │
│ Mobile experience    │ Full-featured   │ Read-only        │
│ Pricing (per user)   │ $29/month       │ $50-100/month    │
│ Self-service         │ Yes             │ Limited          │
│ Natural language Q&A │ Yes             │ No               │
└──────────────────────┴─────────────────┴──────────────────┘

OBJECTION HANDLING:
  "Your connector library is smaller."
    → "We cover the 30 data sources that 95% of companies use. Our AI auto-connects
       to any SQL database. If you need a custom connector, our team builds it in <48h
       at no cost."

  "We've been happy with DataViz Pro."
    → "Many of our customers came from DataViz Pro. The common drivers: speed to
       insight, cost reduction (avg 40% savings), and empowering non-technical users.
       We offer a parallel run so you can compare side-by-side."

  "Your company is smaller / less proven."
    → "We've grown 200% YoY with 96% gross retention. Our customers see value in
       under 5 minutes vs. 8 weeks. We're the #1 most-reviewed analytics platform on
       G2 for 6 consecutive quarters."

WIN SIGNALS:
  • Customer mentions "slow reporting" or "too much time on data prep"
  • Frustration with IT backlog or implementation timelines
  • Budget constraints / cost optimization initiatives
  • Need for self-service analytics (non-technical users)
  • Interest in AI-powered analytics

LOSS SIGNALS:
  • Deep customization requirements (our platform is opinionated)
  • Existing heavy investment in DataViz Pro ecosystem
  • Mandated use of Microsoft stack (Power BI preferred)
  • Very large enterprise (1000+ users) — our scale unproven
```

## Integration Points

- **Product analytics**: Mixpanel, Amplitude, Pendo, Heap
- **CRM**: Salesforce, HubSpot (pipeline tracking, opportunity data)
- **Marketing automation**: HubSpot, Marketo, Braze (campaign execution)
- **Sales enablement**: Seismic, Highspot, Gong, Showpad
- **Competitive intelligence**: Crisp, Klaviyo, Wingman, Repsai
- **Survey tools**: Qualtrics, SurveyMonkey, Delighted (customer feedback)
- **Web analytics**: Google Analytics, Adobe Analytics, Mixpanel
- **Collaboration**: Confluence, Notion, Google Docs (content creation)
- **Design tools**: Figma, Canva, Adobe Creative Suite (asset creation)
- **PR tools**: Cision, Meltwater, Business Wire (press distribution)

## Edge Cases

| Scenario | Handling |
|----------|----------|
| Competitor launches similar feature before our GTM | Accelerate launch; emphasize differentiation; brief sales immediately; update battlecards |
| Product launch delayed by engineering | Communicate internally early; adjust marketing calendar; create interim content; manage expectations |
| Customer beta feedback reveals critical issue | Pause or adjust launch scope; communicate transparently; prioritize fix; update messaging |
| Sales team not adequately trained before launch | Emergency training session; simplified talking points; dedicated PMM support for first 2 weeks |
| Launch generates unexpected support volume | Scale support temporarily; create targeted KB articles; PMM joins support war room |
| Pricing pushback from market | Pre-approved pricing flexibility guidelines; A/B test price points; value justification materials |
| Analyst coverage negative or unfavorable | Engage analyst directly with data; provide customer references; address specific concerns |
| Internal alignment conflict (product vs. marketing on messaging) | Facilitated alignment session; data-driven decision; executive tiebreaker if needed |

## Output

### GTM Performance Dashboard

```
GTM PERFORMANCE DASHBOARD — [Product X Launch]
================================================
Launch Date: 2025-01-08 | Report Date: 2025-01-15 (T+7)

LAUNCH OBJECTIVES vs. ACTUAL:
┌──────────────────────────┬──────────┬──────────┬──────────────┬───────────┐
│ Metric                   │ Target   │ Actual   │ Achievement  │ Status    │
├──────────────────────────┼──────────┼──────────┼──────────────┼───────────┤
│ New sign-ups             │ 500      │ 387      │ 77.4%        │ ⚠ Below   │
│ Activated users          │ 350      │ 298      │ 85.1%        │ ⚠ Below   │
│ Pipeline generated ($K)  │ 1,500    │ 1,820    │ 121.3%       │ ✓ Above   │
│ Deals influenced         │ 25       │ 31       │ 124.0%       │ ✓ Above   │
│ Webinars registered      │ 200      │ 247      │ 123.5%       │ ✓ Above   │
│ Press mentions           │ 10       │ 14       │ 140.0%       │ ✓ Above   │
│ Support ticket volume    │ <50      │ 42       │ 84.0%        │ ✓ On track│
│ NPS (launch cohort)      │ ≥40      │ 46       │ —            │ ✓ Above   │
└──────────────────────────┴──────────┴──────────┴──────────────┴───────────┘

MARKETING CAMPAIGN PERFORMANCE:
  Landing page: 12,847 visits | Conversion rate: 3.0% (target: 3.5%) ⚠
  Email campaigns: 45.2% open rate | 8.7% CTR (both above benchmark)
  Webinar: 247 registered | 189 attended (76.5%) | 42 demo requests
  Paid media: $8,500 spent | 2,340 clicks | $3.63 CPC | 187 MQLs
  Social media: 4,200 impressions | 3.2% engagement rate

SALES IMPACT:
  Opportunities created: 31 (across all regions)
  Average deal size: $58,700
  Weighted pipeline: $892,000
  Sales adoption rate: 78% of reps actively selling
  Average sales cycle: 28 days (vs. 45 days company avg — faster!)

MARKET RESPONSE:
  G2 reviews: +12 new reviews (avg 4.6/5.0)
  Social mentions: +340% increase (brand + product)
  Competitive displacement: 8 deals won from DataViz Pro
  Analyst response: Gartner added to "Cool Vendors" list

CUSTOMER FEEDBACK HIGHLIGHTS:
  Positive: "Incredible speed to value" (42 mentions)
  Positive: "AI insights are game-changing" (31 mentions)
  Concern: "Need more industry-specific templates" (18 mentions)
  Concern: "Pricing confusion between tiers" (12 mentions)

NEXT STEPS (T+14 to T+30):
  1. Address landing page conversion gap (A/B test headline + CTA)
  2. Create industry-specific use case content (template demand)
  3. Clarify pricing page (reduce tier confusion)
  4. Launch customer advocacy program (leverage early positive NPS)
  5. T+30 retrospective scheduled for Feb 5
```
