Marketing AI Skill

Product Marketing

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...

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

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

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)

Pricing strategy:

Value-based pricing analysis
Competitive pricing benchmark
Packaging and tier design
Discount and promotion guidelines

Phase 2: Go-to-Market Planning

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

Sales enablement:

Sales battlecards (competitor comparisons, objection handling)
Product demos and talking points
FAQ documents and one-pagers
Training sessions (sales, support, success teams)

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

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)

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

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