startup-go-to-market
Provides a structured framework for startups to plan and execute market entry strategies. Includes decision trees, motion selection, ICP templates, channel strategies, and launch playbooks. Focuses on modern practices like channel sequencing and feedback loops.
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Install command
npx @skill-hub/cli install vasilyu1983-ai-agents-public-startup-go-to-market
Repository
Skill path: frameworks/shared-skills/skills/startup-go-to-market
Provides a structured framework for startups to plan and execute market entry strategies. Includes decision trees, motion selection, ICP templates, channel strategies, and launch playbooks. Focuses on modern practices like channel sequencing and feedback loops.
Open repositoryBest for
Primary workflow: Grow & Distribute.
Technical facets: Full Stack, Designer.
Target audience: Startup founders, product managers, and growth marketers who need to design and execute market entry strategies..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: vasilyu1983.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
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- Install startup-go-to-market into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/vasilyu1983/AI-Agents-public before adding startup-go-to-market to shared team environments
- Use startup-go-to-market for productivity workflows
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Original source / Raw SKILL.md
---
name: startup-go-to-market
description: GTM strategy, channel selection, launch planning, and market entry execution
metadata:
version: "1.0"
---
# Startup Go-to-Market
Systematic framework for designing and executing market entry strategies.
**Modern Best Practices (Dec 2025)**:
- Start from ICP + positioning, then pick 1–2 channels to sequence (avoid “all channels”).
- Instrument the funnel end-to-end (activation and retention defined, not assumed).
- Use tight feedback loops (weekly learning reviews) and write stop/pivot thresholds.
- Treat customer data with purpose limitation, retention, and access controls.
---
## Decision Tree: What GTM Analysis?
```
GTM QUESTION
│
├─► "How do I reach customers?" ───► Channel Strategy
│ └─► Channel selection, sequencing
│
├─► "PLG or Sales-led?" ───────────► Motion Selection
│ └─► GTM motion design
│
├─► "How do I launch?" ────────────► Launch Planning
│ └─► Launch playbook
│
├─► "Who is my ICP?" ──────────────► Segmentation
│ └─► ICP definition, targeting
│
├─► "How do I scale?" ─────────────► Scaling Strategy
│ └─► Growth loops, expansion
│
└─► "Full GTM strategy" ───────────► COMPREHENSIVE ANALYSIS
└─► All dimensions
```
---
## GTM Motion Types
### Motion Taxonomy
| Motion | Description | Best For | Examples |
|--------|-------------|----------|----------|
| **Product-Led Growth (PLG)** | Product drives acquisition, conversion, expansion | SMB, developers, horizontal | Slack, Figma, Notion |
| **Sales-Led** | Reps drive deals through outbound and inbound | Enterprise, complex sales | Salesforce, Workday |
| **Community-Led** | Community drives awareness and adoption | Developer tools, open source | Hashicorp, MongoDB |
| **Channel/Partner-Led** | Partners drive distribution | Enterprise, geographic expansion | Microsoft, Cisco |
| **Marketing-Led** | Marketing drives demand generation | B2C, SMB | HubSpot, Mailchimp |
### Motion Selection Framework
```
ACV < $5K + Self-serve possible?
│
├─► YES ──► PLG (primary)
│ └─► Add Sales-assist for expansion
│
└─► NO ───► Is buyer technical?
│
├─► YES ──► Developer/Community-Led
│ └─► Bottom-up adoption
│
└─► NO ───► Sales-Led
└─► Inbound + Outbound
```
### Hybrid Motions (2024-2025 Reality)
| Hybrid | Components | Examples |
|--------|------------|----------|
| PLG + Sales | Self-serve → Sales-assist for enterprise | Slack, Zoom, Figma |
| Community + PLG | OSS → Hosted → Enterprise | MongoDB, Elastic |
| Marketing + Sales | Inbound MQLs → Sales conversion | HubSpot |
| Partner + Sales | Partner referrals → Direct sales | AWS Partners |
---
## Ideal Customer Profile (ICP)
### ICP Components
| Component | Questions | Example |
|-----------|-----------|---------|
| **Firmographics** | Size, industry, geography | 50-500 employees, B2B SaaS, US |
| **Technographics** | Tech stack, tools | Uses Salesforce, Modern data stack |
| **Behavioral** | Buying behavior, adoption patterns | Self-serve evaluation, fast decisions |
| **Pain indicators** | Symptoms of the problem | Growing support tickets, churn issues |
| **Success indicators** | Signs of good fit | Strong product-market alignment |
### ICP Template
```markdown
## Ideal Customer Profile: {{PRODUCT}}
### Company Profile
- **Industry**: {{INDUSTRY}}
- **Size**: {{EMPLOYEE_RANGE}} employees
- **Revenue**: ${{REVENUE_RANGE}}
- **Geography**: {{REGIONS}}
- **Growth Stage**: {{STAGE}}
### Technology Profile
- **Must have**: {{REQUIRED_TECH}}
- **Nice to have**: {{PREFERRED_TECH}}
- **Red flags**: {{AVOID_TECH}}
### Buyer Profile
- **Primary Buyer**: {{TITLE}}
- **Champions**: {{TITLES}}
- **Economic Buyer**: {{TITLE}}
- **Influencers**: {{TITLES}}
### Pain Indicators
- {{PAIN_1}}
- {{PAIN_2}}
- {{PAIN_3}}
### Success Indicators
- {{SUCCESS_1}}
- {{SUCCESS_2}}
```
### ICP Scoring
| Factor | Weight | Score (1-10) |
|--------|--------|--------------|
| Budget available | 20% | |
| Problem severity | 25% | |
| Technical fit | 15% | |
| Decision timeline | 15% | |
| Champion identified | 15% | |
| Expansion potential | 10% | |
| **ICP Score** | 100% | |
---
## Channel Strategy
### Channel Categories
| Category | Channels | Best For |
|----------|----------|----------|
| **Organic** | SEO, content, social, community | Long-term, sustainable |
| **Paid** | SEM, paid social, display | Fast, scalable, expensive |
| **Outbound** | Email, cold calls, LinkedIn | Enterprise, high ACV |
| **Partnerships** | Referrals, integrations, resellers | Leverage, distribution |
| **Product** | Viral, freemium, PLG | Self-serve, network effects |
| **Events** | Conferences, webinars, meetups | Enterprise, brand |
### Channel Selection Matrix
| Channel | CAC | Volume | Time to Impact | Control |
|---------|-----|--------|----------------|---------|
| SEO/Content | Low | High | 6-12 months | High |
| Paid Search | Medium | Medium | Immediate | High |
| Paid Social | Medium | High | Immediate | Medium |
| Outbound Email | Medium | Medium | 1-3 months | High |
| LinkedIn Outbound | High | Low | 1-3 months | High |
| Conferences | High | Low | 3-6 months | Medium |
| Partnerships | Medium | Medium | 6-12 months | Low |
| Product/Viral | Low | High | 3-6 months | Medium |
| Community | Low | Medium | 6-12 months | Medium |
### Channel Sequencing by Stage
| Stage | Primary Channels | Why |
|-------|------------------|-----|
| Pre-PMF | Founder sales, communities, early users | Direct feedback |
| Early | Content, outbound, founder network | Capital efficient |
| Growth | Paid, SEO, partnerships | Scale |
| Scale | All channels optimized | Efficiency |
---
## PLG Playbook
### PLG Funnel
```
AWARENESS
│
▼
ACQUISITION (Sign up)
│
▼
ACTIVATION (First value moment)
│
▼
RETENTION (Continued usage)
│
▼
REVENUE (Convert to paid)
│
▼
REFERRAL (Viral spread)
```
### Key PLG Metrics
| Stage | Metric | Benchmark |
|-------|--------|-----------|
| Acquisition | Visitor → Signup | 2-10% |
| Activation | Signup → Activated | 30-60% |
| Retention | Day 1 / Day 7 / Day 30 | 40% / 20% / 10% |
| Revenue | Activated → Paid | 10-30% |
| Referral | % users who invite | 20-30% |
### Activation Definition
**"Activation" = When user experiences core value**
| Product Type | Activation Moment |
|--------------|-------------------|
| Slack | Sent 2,000 messages |
| Dropbox | Installed + synced file |
| Zoom | Completed first meeting |
| Notion | Created and shared doc |
| Your product | {{ACTIVATION_MOMENT}} |
### PLG Pricing Considerations
| Element | Recommendation |
|---------|----------------|
| Free tier | Yes, with usage limits |
| Trial length | 14 days (card optional) |
| Upgrade triggers | Hit limits, need feature |
| Pricing page | Transparent, self-serve |
| Enterprise | "Contact sales" option |
---
## Sales-Led Playbook
### Sales Motion Design
| Element | SMB | Mid-Market | Enterprise |
|---------|-----|------------|------------|
| **ACV** | $1-10K | $10-50K | $50K+ |
| **Sales cycle** | <30 days | 30-90 days | 90-270 days |
| **Touch model** | Low-touch/inside | Inside/field | Field/strategic |
| **Demo** | Self-serve or 15 min | 30-60 min | Custom POC |
| **Stakeholders** | 1-2 | 3-5 | 5-10+ |
| **Procurement** | Credit card | Simple | Complex |
### Outbound Playbook
**Sequence Structure**:
```
Day 1: Email 1 (Pain-focused)
Day 3: LinkedIn connection
Day 5: Email 2 (Value-focused)
Day 8: LinkedIn message
Day 12: Email 3 (Social proof)
Day 16: Email 4 (Break-up)
```
**Targeting**:
| Element | Specification |
|---------|---------------|
| Company size | {{RANGE}} |
| Titles | {{LIST}} |
| Industries | {{LIST}} |
| Signals | {{TRIGGERS}} |
### Sales Stages
| Stage | Definition | Exit Criteria |
|-------|------------|---------------|
| **Prospecting** | Identifying targets | Meeting booked |
| **Discovery** | Understanding needs | Qualified (BANT/MEDDIC) |
| **Demo** | Showing solution | Interest confirmed |
| **Evaluation** | POC, trial, references | Success criteria met |
| **Proposal** | Pricing, terms | Proposal sent |
| **Negotiation** | Contract discussion | Agreement on terms |
| **Closed Won** | Signed | Revenue booked |
---
## Launch Planning
### Launch Types
| Type | Goal | Timeline |
|------|------|----------|
| **Soft launch** | Test, iterate | 2-4 weeks |
| **Beta launch** | Build waitlist, get feedback | 4-8 weeks |
| **ProductHunt launch** | Awareness, early adopters | 1 day + prep |
| **Full launch** | Maximum awareness | 1-2 weeks |
| **Feature launch** | Existing customer expansion | Ongoing |
### Launch Playbook Template
```markdown
## Launch: {{PRODUCT/FEATURE}}
### Objectives
- Primary: {{GOAL}}
- Secondary: {{GOAL}}
- Metrics: {{TARGETS}}
### Timeline
| Week | Activities |
|------|------------|
| -4 | {{PREP}} |
| -2 | {{PREP}} |
| -1 | {{FINAL}} |
| Launch | {{ACTIVITIES}} |
| +1 | {{FOLLOW_UP}} |
### Channels
| Channel | Asset | Owner | Date |
|---------|-------|-------|------|
| ProductHunt | Listing | | |
| Blog | Announcement | | |
| Email | Customer comms | | |
| Social | Posts | | |
| PR | Press release | | |
| Community | Posts | | |
### Assets Needed
- [ ] Landing page
- [ ] Demo video
- [ ] Blog post
- [ ] Social graphics
- [ ] Email templates
- [ ] Press kit
- [ ] Customer quotes
### Success Metrics
| Metric | Target | Actual |
|--------|--------|--------|
| Signups | {{N}} | |
| Traffic | {{N}} | |
| Mentions | {{N}} | |
| Trials | {{N}} | |
```
### ProductHunt Launch Playbook
**Before (4 weeks)**:
- [ ] Build hunter network
- [ ] Create assets (logo, screenshots, video)
- [ ] Write compelling tagline and description
- [ ] Prepare maker comment
- [ ] Coordinate with team for day-of support
- [ ] Schedule for Tuesday-Thursday
**Launch Day**:
- [ ] Launch at 12:01 AM PT
- [ ] Post maker comment immediately
- [ ] Share on social, email, communities
- [ ] Respond to ALL comments within hours
- [ ] Coordinate team upvotes (ethically)
- [ ] Update throughout the day
**After**:
- [ ] Thank supporters
- [ ] Follow up with interested users
- [ ] Publish retrospective
- [ ] Update based on feedback
---
## Growth Loops
### Loop Types
| Loop | Mechanism | Example |
|------|-----------|---------|
| **Viral** | User invites users | Dropbox referrals |
| **Content** | Content → SEO → Users → Content | HubSpot |
| **UGC** | Users create content | YouTube, TikTok |
| **Paid** | Revenue → Paid ads → Users | Performance marketing |
| **Sales** | Revenue → Sales team → Users | Enterprise sales |
| **Partner** | Partners drive users → Revenue share | App stores |
### Viral Loop Design
```
USER → CREATES/SHARES → CONTENT/INVITE
│
▼
NEW USER → CREATES/SHARES → ...
```
**Viral Coefficient (K)**:
```
K = Invites per user × Conversion rate
Example:
Average invites: 5
Conversion rate: 20%
K = 5 × 0.20 = 1.0 (viral threshold)
```
### Content Loop Design
```
CONTENT → SEO TRAFFIC → SIGNUPS → PRODUCT USAGE
↑ │
│ │
└────── USER-GENERATED DATA ─────────┘
```
---
## Expansion Strategy
### Land and Expand
```
LAND (Initial)
└─► Single team, single use case, low ACV
ADOPT (Prove)
└─► Usage growth, success metrics, champions
EXPAND (Grow)
└─► More teams, departments, use cases
STRATEGIC (Transform)
└─► Company-wide, multi-year, executive sponsor
```
### Expansion Signals
| Signal | Action |
|--------|--------|
| High usage | Proactive expansion conversation |
| New use case request | Cross-sell motion |
| Team growth | Seat expansion |
| Hitting limits | Upgrade conversation |
| Success metrics achieved | Case study + referral ask |
### Geographic Expansion
| Phase | Markets | Approach |
|-------|---------|----------|
| 1 | Home market | Direct |
| 2 | Adjacent (language/culture) | Localization |
| 3 | New regions | Local presence or partners |
---
## Resources
| Resource | Purpose |
|----------|---------|
| [channel-playbooks.md](resources/channel-playbooks.md) | Detailed channel execution guides |
| [sales-motion-design.md](resources/sales-motion-design.md) | Sales process design |
| [plg-implementation.md](resources/plg-implementation.md) | PLG execution guide |
## Templates
| Template | Purpose |
|----------|---------|
| [gtm-strategy.md](templates/gtm-strategy.md) | Full GTM strategy document |
| [launch-playbook.md](templates/launch-playbook.md) | Launch planning template |
| [icp-definition.md](templates/icp-definition.md) | ICP documentation |
## Data
| File | Purpose |
|------|---------|
| [sources.json](data/sources.json) | GTM resources and guides |
---
## Do / Avoid (Dec 2025)
### Do
- Define activation as a concrete “first value moment”.
- Track leading indicators (activation, retention) alongside revenue.
- Run structured experiments with decision thresholds.
### Avoid
- Content spam without measurement.
- “Do all channels” in parallel without learning loops.
- Vanity metrics without retention and payback context.
## What Good Looks Like
- ICP + positioning: one primary segment, explicit alternatives, and proof points (quotes, numbers, cases).
- Channel focus: 1 primary channel with a 4-week experiment plan and decision thresholds.
- Instrumentation: activation (“first value moment”) defined, tracked, and reviewed weekly.
- Launch plan: messaging, assets, owners, and a post-launch learning review scheduled.
- Feedback loop: win/loss + retention cohorts drive the next backlog decisions.
## Optional: AI / Automation
Use only when explicitly requested and policy-compliant.
- Draft assets and experiment variants; humans verify claims, brand voice, and compliance.
- Summarize call notes and objections; keep source links and spot-check.