Go-To-Market
Pipeline stage: Composer Group C | Merged from: marketing-strategy-pmm (S4-6), startup-go-to-market, product-strategist
Systematic workflow for designing and executing market entry, product launches, sales enablement, and growth.
Modern Best Practices (Jan 2026): Start from ICP + positioning, pick 1-2 channels to sequence, instrument the funnel end-to-end, use AI for execution (not strategy), align RevOps across sales/marketing/CS.
Quick Start (Inputs)
Ask for the smallest set of inputs that makes decisions meaningful:
- Stage: pre-PMF, early PMF, growth, scale
- Product and category: what it is, who uses it, and what "first value" looks like
- ICP and buyer: firmographics, pains, procurement constraints, economic buyer vs champion
- Pricing and economics: current/target ACV/ARPA, COGS drivers (include variable compute), payback constraints
- Motion constraints: self-serve possible, sales cycle expectations, implementation/onboarding complexity
- Channel constraints: budget, time, audience access (communities, lists, partnerships), geo, compliance limits
- Baseline metrics: traffic, signup/demo rate, activation, retention, win rate, sales cycle length, pipeline
- Team and tooling: who executes (founder/marketing/sales/CS), CRM + analytics stack
If numbers are missing, proceed with ranges + explicit assumptions and list what to measure next.
Workflow
Define ICP and the buying path
- Primary/secondary ICP, anti-ICP, trigger events, and an "activation" definition.
- Use
assets/icp-definition.md to draft.
Align on positioning and proof
- If positioning is unclear, use startup-competitive-analysis to map alternatives + differentiation, then marketing-content-strategy to express it as messaging.
Choose the motion (PLG / sales-led / hybrid)
- Use the Decision Tree below for a fast cut.
- For details:
references/plg-implementation.md and references/sales-motion-design.md.
Pick 1-2 channels to sequence (not parallelize)
- Use a bullseye-style test plan: quick tests, measure, double down.
- For execution details:
references/channel-playbooks.md.
Define measurement and RevOps alignment
- Define shared lifecycle stages and the "one source of truth" for metrics (product + CRM).
- Ensure handoffs are measurable (e.g., PQL -> SQL routing rules and SLAs for hybrid).
Produce deliverables + operating cadence
- Draft GTM plan (
assets/gtm-strategy.md) and launch plan (assets/launch-playbook.md).
- Run a weekly GTM review: 30 min pipeline + funnel, 30 min experiments, 30 min decisions.
Decision Tree
GTM QUESTION
|-- "How do I reach customers?" -> Channel Strategy (Section 3)
|-- "PLG or Sales-led?" -> Motion Selection (Section 1)
|-- "How do I launch?" -> Launch Planning (Section 6)
|-- "Who is my ICP?" -> ICP Definition (Section 2)
`-- "How do I scale?" -> Growth Loops (Section 7)
When to Use
- Designing go-to-market strategy for new product or feature
- Choosing between PLG, sales-led, hybrid, community-led, or partner-led motion
- Planning product launches (soft, beta, ProductHunt, full)
- Defining ICP, channel strategy, and PQL scoring
- Building sales enablement assets and training programs
- Planning international market entry
- Designing growth loops and PLG flywheels
When NOT to Use
- Positioning / messaging deep dive -> marketing-content-strategy / startup-competitive-analysis
- Competitive intelligence / battlecards -> startup-competitive-analysis
- Fundraising strategy -> startup-fundraising
- Pricing / revenue models -> startup-business-models
1. GTM Motion Selection
| Motion |
Best For |
ACV |
Examples |
| PLG |
SMB, developers, self-serve |
<$10K |
Slack, Figma, Notion |
| Hybrid (PLG + Sales-Assist) |
Mid-market, higher ACV PLG |
$5K-$100K |
HubSpot, Atlassian, Zoom |
| Sales-Led |
Enterprise, complex sales |
$25K+ |
Salesforce, Workday |
| Community-Led |
Developer tools, OSS |
Varies |
MongoDB, HashiCorp |
| Partner-Led |
Enterprise, geographic expansion |
Varies |
Microsoft, Snowflake |
Decision Tree
ACV < $5K and self-serve possible?
YES -> PLG (add sales-assist for expansion at $2K+ ACV)
NO -> Is buyer technical?
YES -> Developer/community-led (bottom-up)
NO -> Sales-led (outbound + inbound)
Hybrid (Series A default):
Bottom-up: Free trial -> Paid team plan -> Enterprise upgrade
Top-down: Outbound -> Demo -> POC -> Close
Segment Mapping
| Segment |
Employees |
Touch Model |
ACV |
| SMB |
10-200 |
Self-serve PLG |
$100-$2K |
| Mid-Market |
200-2,000 |
Hybrid, inside sales |
$2K-$50K |
| Enterprise |
2,000+ |
Sales-led, field sales |
$50K+ |
2. ICP Definition
ICP Components
| Component |
Example |
| Firmographics |
50-500 employees, B2B SaaS, US, $5M-$500M rev |
| Technographics |
Cloud-first, API-driven, uses Salesforce |
| Pain indicators |
Growing support tickets, manual processes |
| Success indicators |
Strong product engagement, fast sales cycle |
ICP Scoring (6 Factors)
| Factor |
Weight |
| Problem severity |
25% |
| Budget available |
20% |
| Technical fit |
15% |
| Decision timeline |
15% |
| Champion identified |
15% |
| Expansion potential |
10% |
ICP Fit Tiers
- A: All 6 factors, fastest cycles, highest LTV, <5% churn
- B: 4-5 factors, above-median deal size
- C: 3 factors, nurture until ready
- D: <3 factors, disqualify early
Buyer Personas
Economic Buyer (VP/Director) -- signs contract
- Messaging: ROI calculator, case studies with $ impact, business outcomes
Technical Buyer (Sr Eng/Architect) -- evaluates product
- Messaging: Architecture docs, security whitepaper, API quality
Champion (Manager/Team Lead) -- advocates internally
- Messaging: UX demos, quick wins, free trial
3. Channel Strategy
| Category |
Channels |
Best For |
| Organic |
SEO, content, social, community |
Long-term compounding |
| Paid |
SEM, paid social, display |
Fast, scalable |
| Outbound |
Email, cold calls, LinkedIn |
Enterprise, high ACV |
| Product |
Viral, freemium, PLG loops |
Self-serve |
Sequencing by Stage
| Stage |
Primary Channels |
| Pre-PMF |
Founder sales, communities |
| Early PMF |
Content, outbound, founder network |
| Growth |
Paid, SEO, partnerships |
| Scale |
All channels optimized |
Selection Rules
- Sequence, don't parallelize: 1-2 channels at a time, prove, then add
- Budget split: 70% proven / 20% promising / 10% experimental
- Stop trigger: Channel CAC > 2x target after 60 days -> pause and test next
4. PLG Flywheel
6-Stage Model with Metrics
| Stage |
Key Metrics |
Targets |
| Acquire |
Visitors, sign-ups, activation rate |
Track by channel + ICP |
| Activate |
Time to value, aha moment, feature adoption |
<5 min to first value |
| Engage |
DAU/WAU/MAU, stickiness, session frequency |
DAU/MAU > 25% |
| Refer |
K-factor, NPS, referral sign-ups |
K > 0.5, NPS > 50 |
| Expand |
Seats added, usage growth, team invites |
Net expansion > 110% |
| Monetize |
Free-to-paid, expansion rev, NRR |
Conversion > 5%, NRR > 120% |
Activation Checklist
- Define "first value moment" as a concrete product action (not sign-up)
- Measure time-to-value, optimize onboarding to reduce it
- Track activation by cohort, channel, and ICP segment
- Build PQL triggers from activation + engagement signals
5. PQL Scoring
Formula
PQL Score = (Engagement x 0.4) + (Fit x 0.3) + (Intent x 0.3)
Engagement (40%): Core actions completed (3+ in 7 days), feature depth, session frequency, team collaboration signals (invites, shares)
Fit (30%): ICP score (A/B/C/D), company size match, industry match, tech stack compatibility
Intent (30%): Pricing page visits, integration setup, admin/billing views, security doc downloads, API key generation
Product-Led Sales (Sales-Assist)
Use when PLG brings users in, but conversion/expansion benefits from a human touch.
Prefer lifecycle + cohorts over vanity metrics. Always break down by ICP/segment + channel. Define a single funnel per motion (PLG vs sales-led) with clear stage definitions and owners. Track leading indicators (activation/retention, PQL, win rate) before "scale" decisions.
PQL -> SQL Routing
6. Launch Playbooks
Launch Types
| Type |
Timeline |
Effort |
| Soft |
2-4 weeks |
Low -- test and iterate |
| Beta |
4-8 weeks |
Medium -- waitlist + feedback |
| ProductHunt |
1 day + 2 weeks prep |
Medium -- awareness burst |
| Full |
1-2 weeks live + 8 weeks prep |
High -- max pipeline |
Launch Tiers
| Tier |
Cadence |
Budget (Series A) |
Activities |
| 1 Major |
Quarterly |
$50K-$100K |
Press, webinar, email series, paid ads, sales blitz |
| 2 Standard |
Monthly |
$10K-$25K |
Blog, email, product update, sales enablement |
| 3 Minor |
Weekly |
<$5K |
In-app notification, changelog, support docs |
Major Launch: 8-Week Playbook
Weeks -8 to -5 (Foundation):
- W-8: Kickoff (Product/Marketing/Sales/CS), define goals, ICP, positioning, assign owners
- W-7: GTM strategy, sales enablement (deck, demo script, FAQs), content plan, creative assets
- W-6: Landing pages, campaign tracking, press release, email sequences, demo video
- W-5: Beta test with customers, train sales + CS, finalize timeline, prep case studies
Weeks -4 to -1 (Ramp):
- W-4: Launch paid ads, teaser content, pre-launch email, pitch press, webinar registration
- W-3: A/B test pages + copy, ramp content, outbound prospecting, finalize webinar
- W-2: Reminder emails, increase ad spend, sales follow-up on warmed leads, dry-run systems
- W-1: Final review all assets, VIP pre-launch email, teams ready, press embargo lifts
Launch Week:
- Day 1: Press release, email blast, social blitz, full-budget ads, sales outbound (top 500), in-app notify
- Days 2-5: Daily monitoring, A/B optimizations, <4hr lead SLA, press responses, webinar (Day 3-4)
Post-Launch (Weeks +2 to +4):
- W+2: Analyze vs. goals, post-launch content, scale winners (+20%/week budget), pause underperformers
- W+3-4: Post-launch report, customer interviews, win/loss analysis, adjust messaging, apply learnings
Launch Metrics Dashboard
Leading (daily): Page visitors, demo requests, trial signups, MQLs, pipeline $
Lagging (weekly): SQLs, deals closed (# + $), win rate vs. baseline, adoption rate, feature NPS
WEEK 1 TEMPLATE:
Traffic: [actual] vs [goal] | MQLs: [actual] vs [goal]
SQLs: [actual] vs [goal] | Pipeline: $[actual] vs $[goal]
Top channels: [by MQL + CPL] | Underperforming: [action]
7. Growth Loops
| Loop |
Mechanism |
Example |
| Viral |
User invites users |
Dropbox referrals, Calendly links |
| Content |
Content -> SEO -> signups |
HubSpot blog, Ahrefs |
| UGC |
Users create content -> new users |
YouTube, Notion templates |
| Paid |
Revenue -> ads -> customers -> revenue |
Performance marketing |
| Sales |
Pipeline -> close -> hire -> more pipeline |
Enterprise SaaS |
| Partner |
Enable partners -> referrals -> deals -> more partners |
Cloud marketplaces |
Loop Health Metrics
- Viral: K-factor > 0.5, invite-to-signup > 20%
- Content: Organic traffic growth > 10% MoM, content-to-signup > 2%
- Paid: ROAS > 3:1, CAC payback < 12 months
- Sales: Pipeline coverage > 3x, win rate > 25%
By Stage
- Pre-PMF: No loops -- manual acquisition and learning
- Early PMF: Identify natural loop (viral if collaborative, content if SEO-friendly, sales if high ACV)
- Growth: Invest in primary loop, test secondary
- Scale: 2-3 loops, optimize unit economics per loop
8. Sales Enablement
6 Core Assets
Sales Deck (15 slides): Title, problem, solution, benefits, demo, differentiation, logos, case study, pricing, implementation, next steps. Visual-first, modular, updated quarterly.
One-Pagers (1-page PDFs): Product overview, competitive comparison, case study with metrics, pricing sheet.
Battlecards (per competitor): Overview, strengths/weaknesses, our advantages, win/lose scenarios, talk tracks, proof points. Update monthly.
Demo Script (30-45 min): Intro (2 min) -> Discovery (5 min) -> Demo on their use case (20 min) -> Q&A (10 min) -> Next steps (3 min). Show don't tell, use realistic data, focus on outcomes.
Email Templates: Cold outreach (3-5 touches), demo follow-up (<2 hrs), trial conversion (Day 1/3/7/14), proposal follow-up, closing sequence.
ROI Calculator: Inputs: current costs, time, team size. Outputs: savings, payback, 3-year ROI. Example: "Save $150K/year, 6-month payback, 500% ROI."
Training Program
Monthly Call (60 min): Product updates, competitive landscape, win/loss insights, top performer tips, Q&A
Quarterly Workshop (half-day): Messaging refresh, role-play objection handling, product training, customer panel
New Hire Onboarding (4 weeks): W1 company/product/market, W2 ICP/personas/messaging, W3 competitive/battlecards, W4 demo certification (must pass to sell)
Marketing <-> Sales Handoffs
| Touchpoint |
Cadence |
Content |
| Weekly sync |
30 min |
Win/loss insights, new assets, field feedback |
| QBR |
Quarterly |
Pipeline, win rate, deal size, action items |
| Slack #sales-enablement |
Daily |
Quick questions, updates |
SLAs: Inbound lead follow-up <4 hrs, competitive questions <48 hrs, launch enablement 1 week before, campaign content 2-week lead time.
9. International Expansion
5-Phase Market Entry
| Phase |
Market |
Months |
Budget % |
ARR Target |
| 1 |
US |
1-6 |
50% ($200K) |
$1M |
| 2 |
UK |
4-9 |
20% ($80K) |
$500K |
| 3 |
DACH |
7-12 |
15% ($60K) |
$300K |
| 4 |
France |
10-15 |
10% ($40K) |
$200K |
| 5 |
Canada |
7-12 |
5% ($20K) |
$100K |
Total Year 1: $400K spend, expected 3:1 pipeline ROI
Key Entry Considerations
- US: Largest TAM, fastest cycles, USD pricing, US SDRs/AEs
- UK: English-speaking EU gateway, GBP pricing, GDPR compliance
- DACH: German translation required, GDPR-first positioning, local case studies
- France: Full French localization (website + product + support), local team
- Canada: Minimal localization (CAD pricing), leverage US sales team
Localization Checklist (per market)
10. Messaging Architecture
Value Prop Template
[Product] helps [Target Customer] [Achieve Goal] by [Unique Approach]
4-Level Hierarchy
L1 Value Proposition: one-liner (why you exist)
L2 Key Benefits: 3-5 pillars (Speed, Quality, Cost, Collaboration)
L3 Features -> Benefits -> Outcomes:
AI automation -> eliminates manual work -> save 10 hrs/week
Real-time sync -> no conflicts -> 50% fewer errors
L4 Proof Points: logos, stats ("X teams, Y G2 rating"), case studies
Messaging by Persona
| Persona |
Key Message |
Proof |
| Economic Buyer |
"Increase revenue 25%, cut costs $200K/year" |
ROI calculator, case studies |
| Technical Buyer |
"99.99% uptime, SOC 2, enterprise architecture" |
Docs, whitepaper |
| End User |
"Less busywork, more impact" |
Demo, trial, testimonials |
Testing Cadence
- Qualitative: 10-15 customer interviews (quarterly)
- Quantitative: A/B test headlines, ad copy, email subjects (measure CTR, conversion, demos)
- Sales feedback: Monthly win/loss analysis (what resonates, what doesn't)
- Cycle: Test 2-4 weeks -> analyze 1 week -> update docs 1 week -> train sales 1 week -> repeat quarterly
Do / Avoid
Do: Define activation as concrete product action | Track leading indicators before scaling | Sequence 1-2 channels | AI for execution, humans for strategy | Tier ICP by fit + intent | Weekly GTM review (pipeline + experiments + decisions)
Avoid: All channels in parallel | Content spam without measurement | Vanity metrics without retention | Scaling paid before activation is stable | Skipping sales enablement when adding reps
Resources
| Resource |
Purpose |
| channel-playbooks.md |
Detailed channel execution |
| sales-motion-design.md |
Sales process + RevOps |
| plg-implementation.md |
PLG execution + PQL frameworks |
| ai-gtm-automation.md |
AI-powered GTM tools |
Templates
| Template |
Purpose |
| gtm-strategy.md |
Full GTM strategy document |
| launch-playbook.md |
Launch planning |
| icp-definition.md |
ICP documentation |
Data
| File |
Purpose |
| sources.json |
GTM resources |
What Good Looks Like
- One primary ICP with clear anti-ICP and measurable triggers (signals) for targeting.
- A motion decision with explicit economics (ACV, payback, touch model) and defined handoffs.
- One primary channel with a test plan, success metrics, and stop/pivot triggers.
- Instrumented funnel from source -> activation/value -> revenue/expansion (by segment + channel).
- A weekly operating cadence with a backlog of experiments and a written decision log.
Related Skills
| Skill |
Use For |
| startup-competitive-analysis |
Market mapping, battlecards, positioning inputs |
| marketing-content-strategy |
Messaging deep dive, content calendar |
| startup-business-models |
Pricing, unit economics, revenue models |
| marketing-leads-generation |
Lead acquisition, demand gen |
| marketing-ai-search-optimization |
GEO/AI search visibility |
| marketing-social-media |
Social channel execution |
1---2name: go-to-market3description: Go-To-Market4---5# Go-To-Market67> **Pipeline stage:** Composer Group C | **Merged from:** marketing-strategy-pmm (S4-6), startup-go-to-market, product-strategist89Systematic workflow for designing and executing market entry, product launches, sales enablement, and growth.1011**Modern Best Practices (Jan 2026)**: Start from ICP + positioning, pick 1-2 channels to sequence, instrument the funnel end-to-end, use AI for execution (not strategy), align RevOps across sales/marketing/CS.1213## Quick Start (Inputs)1415Ask for the smallest set of inputs that makes decisions meaningful:1617- **Stage**: pre-PMF, early PMF, growth, scale18- **Product and category**: what it is, who uses it, and what "first value" looks like19- **ICP and buyer**: firmographics, pains, procurement constraints, economic buyer vs champion20- **Pricing and economics**: current/target ACV/ARPA, COGS drivers (include variable compute), payback constraints21- **Motion constraints**: self-serve possible, sales cycle expectations, implementation/onboarding complexity22- **Channel constraints**: budget, time, audience access (communities, lists, partnerships), geo, compliance limits23- **Baseline metrics**: traffic, signup/demo rate, activation, retention, win rate, sales cycle length, pipeline24- **Team and tooling**: who executes (founder/marketing/sales/CS), CRM + analytics stack2526If numbers are missing, proceed with ranges + explicit assumptions and list what to measure next.2728## Workflow29301) **Define ICP and the buying path**31 - Primary/secondary ICP, anti-ICP, trigger events, and an "activation" definition.32 - Use `assets/icp-definition.md` to draft.33342) **Align on positioning and proof**35 - If positioning is unclear, use startup-competitive-analysis to map alternatives + differentiation, then marketing-content-strategy to express it as messaging.36373) **Choose the motion** (PLG / sales-led / hybrid)38 - Use the Decision Tree below for a fast cut.39 - For details: `references/plg-implementation.md` and `references/sales-motion-design.md`.40414) **Pick 1-2 channels to sequence** (not parallelize)42 - Use a bullseye-style test plan: quick tests, measure, double down.43 - For execution details: `references/channel-playbooks.md`.44455) **Define measurement and RevOps alignment**46 - Define shared lifecycle stages and the "one source of truth" for metrics (product + CRM).47 - Ensure handoffs are measurable (e.g., PQL -> SQL routing rules and SLAs for hybrid).48496) **Produce deliverables + operating cadence**50 - Draft GTM plan (`assets/gtm-strategy.md`) and launch plan (`assets/launch-playbook.md`).51 - Run a weekly GTM review: 30 min pipeline + funnel, 30 min experiments, 30 min decisions.5253## Decision Tree5455```56GTM QUESTION57 |-- "How do I reach customers?" -> Channel Strategy (Section 3)58 |-- "PLG or Sales-led?" -> Motion Selection (Section 1)59 |-- "How do I launch?" -> Launch Planning (Section 6)60 |-- "Who is my ICP?" -> ICP Definition (Section 2)61 `-- "How do I scale?" -> Growth Loops (Section 7)62```6364---6566## When to Use6768- Designing go-to-market strategy for new product or feature69- Choosing between PLG, sales-led, hybrid, community-led, or partner-led motion70- Planning product launches (soft, beta, ProductHunt, full)71- Defining ICP, channel strategy, and PQL scoring72- Building sales enablement assets and training programs73- Planning international market entry74- Designing growth loops and PLG flywheels7576## When NOT to Use7778- Positioning / messaging deep dive -> marketing-content-strategy / startup-competitive-analysis79- Competitive intelligence / battlecards -> startup-competitive-analysis80- Fundraising strategy -> startup-fundraising81- Pricing / revenue models -> startup-business-models8283---8485## 1. GTM Motion Selection8687| Motion | Best For | ACV | Examples |88|--------|----------|-----|----------|89| **PLG** | SMB, developers, self-serve | <$10K | Slack, Figma, Notion |90| **Hybrid (PLG + Sales-Assist)** | Mid-market, higher ACV PLG | $5K-$100K | HubSpot, Atlassian, Zoom |91| **Sales-Led** | Enterprise, complex sales | $25K+ | Salesforce, Workday |92| **Community-Led** | Developer tools, OSS | Varies | MongoDB, HashiCorp |93| **Partner-Led** | Enterprise, geographic expansion | Varies | Microsoft, Snowflake |9495### Decision Tree9697```98ACV < $5K and self-serve possible?99 YES -> PLG (add sales-assist for expansion at $2K+ ACV)100 NO -> Is buyer technical?101 YES -> Developer/community-led (bottom-up)102 NO -> Sales-led (outbound + inbound)103104Hybrid (Series A default):105 Bottom-up: Free trial -> Paid team plan -> Enterprise upgrade106 Top-down: Outbound -> Demo -> POC -> Close107```108109### Segment Mapping110111| Segment | Employees | Touch Model | ACV |112|---------|-----------|-------------|-----|113| SMB | 10-200 | Self-serve PLG | $100-$2K |114| Mid-Market | 200-2,000 | Hybrid, inside sales | $2K-$50K |115| Enterprise | 2,000+ | Sales-led, field sales | $50K+ |116117---118119## 2. ICP Definition120121### ICP Components122123| Component | Example |124|-----------|---------|125| **Firmographics** | 50-500 employees, B2B SaaS, US, $5M-$500M rev |126| **Technographics** | Cloud-first, API-driven, uses Salesforce |127| **Pain indicators** | Growing support tickets, manual processes |128| **Success indicators** | Strong product engagement, fast sales cycle |129130### ICP Scoring (6 Factors)131132| Factor | Weight |133|--------|--------|134| Problem severity | 25% |135| Budget available | 20% |136| Technical fit | 15% |137| Decision timeline | 15% |138| Champion identified | 15% |139| Expansion potential | 10% |140141### ICP Fit Tiers142143- **A**: All 6 factors, fastest cycles, highest LTV, <5% churn144- **B**: 4-5 factors, above-median deal size145- **C**: 3 factors, nurture until ready146- **D**: <3 factors, disqualify early147148### Buyer Personas149150**Economic Buyer** (VP/Director) -- signs contract151- Messaging: ROI calculator, case studies with $ impact, business outcomes152153**Technical Buyer** (Sr Eng/Architect) -- evaluates product154- Messaging: Architecture docs, security whitepaper, API quality155156**Champion** (Manager/Team Lead) -- advocates internally157- Messaging: UX demos, quick wins, free trial158159---160161## 3. Channel Strategy162163| Category | Channels | Best For |164|----------|----------|----------|165| **Organic** | SEO, content, social, community | Long-term compounding |166| **Paid** | SEM, paid social, display | Fast, scalable |167| **Outbound** | Email, cold calls, LinkedIn | Enterprise, high ACV |168| **Product** | Viral, freemium, PLG loops | Self-serve |169170### Sequencing by Stage171172| Stage | Primary Channels |173|-------|------------------|174| **Pre-PMF** | Founder sales, communities |175| **Early PMF** | Content, outbound, founder network |176| **Growth** | Paid, SEO, partnerships |177| **Scale** | All channels optimized |178179### Selection Rules180181- **Sequence, don't parallelize**: 1-2 channels at a time, prove, then add182- **Budget split**: 70% proven / 20% promising / 10% experimental183- **Stop trigger**: Channel CAC > 2x target after 60 days -> pause and test next184185---186187## 4. PLG Flywheel188189### 6-Stage Model with Metrics190191| Stage | Key Metrics | Targets |192|-------|-------------|---------|193| **Acquire** | Visitors, sign-ups, activation rate | Track by channel + ICP |194| **Activate** | Time to value, aha moment, feature adoption | <5 min to first value |195| **Engage** | DAU/WAU/MAU, stickiness, session frequency | DAU/MAU > 25% |196| **Refer** | K-factor, NPS, referral sign-ups | K > 0.5, NPS > 50 |197| **Expand** | Seats added, usage growth, team invites | Net expansion > 110% |198| **Monetize** | Free-to-paid, expansion rev, NRR | Conversion > 5%, NRR > 120% |199200### Activation Checklist201202- Define "first value moment" as a concrete product action (not sign-up)203- Measure time-to-value, optimize onboarding to reduce it204- Track activation by cohort, channel, and ICP segment205- Build PQL triggers from activation + engagement signals206207---208209## 5. PQL Scoring210211### Formula212213```214PQL Score = (Engagement x 0.4) + (Fit x 0.3) + (Intent x 0.3)215```216217**Engagement (40%)**: Core actions completed (3+ in 7 days), feature depth, session frequency, team collaboration signals (invites, shares)218219**Fit (30%)**: ICP score (A/B/C/D), company size match, industry match, tech stack compatibility220221**Intent (30%)**: Pricing page visits, integration setup, admin/billing views, security doc downloads, API key generation222223### Product-Led Sales (Sales-Assist)224225Use when PLG brings users in, but conversion/expansion benefits from a human touch.226227Prefer lifecycle + cohorts over vanity metrics. Always break down by ICP/segment + channel. Define a single funnel per motion (PLG vs sales-led) with clear stage definitions and owners. Track leading indicators (activation/retention, PQL, win rate) before "scale" decisions.228229### PQL -> SQL Routing230231- [ ] PQL trigger threshold (e.g., score > 70)232- [ ] Disqualifiers (students, competitors, tiny companies, unsupported geo)233- [ ] SLA: <24 hours first touch for high-intent PQLs234- [ ] Handoff to AE: meeting booked or procurement requested235- [ ] Instrument outcomes: PQL -> meeting -> pipeline -> won (review weekly)236237---238239## 6. Launch Playbooks240241### Launch Types242243| Type | Timeline | Effort |244|------|----------|--------|245| **Soft** | 2-4 weeks | Low -- test and iterate |246| **Beta** | 4-8 weeks | Medium -- waitlist + feedback |247| **ProductHunt** | 1 day + 2 weeks prep | Medium -- awareness burst |248| **Full** | 1-2 weeks live + 8 weeks prep | High -- max pipeline |249250### Launch Tiers251252| Tier | Cadence | Budget (Series A) | Activities |253|------|---------|-------------------|------------|254| **1 Major** | Quarterly | $50K-$100K | Press, webinar, email series, paid ads, sales blitz |255| **2 Standard** | Monthly | $10K-$25K | Blog, email, product update, sales enablement |256| **3 Minor** | Weekly | <$5K | In-app notification, changelog, support docs |257258### Major Launch: 8-Week Playbook259260**Weeks -8 to -5 (Foundation)**:261- W-8: Kickoff (Product/Marketing/Sales/CS), define goals, ICP, positioning, assign owners262- W-7: GTM strategy, sales enablement (deck, demo script, FAQs), content plan, creative assets263- W-6: Landing pages, campaign tracking, press release, email sequences, demo video264- W-5: Beta test with customers, train sales + CS, finalize timeline, prep case studies265266**Weeks -4 to -1 (Ramp)**:267- W-4: Launch paid ads, teaser content, pre-launch email, pitch press, webinar registration268- W-3: A/B test pages + copy, ramp content, outbound prospecting, finalize webinar269- W-2: Reminder emails, increase ad spend, sales follow-up on warmed leads, dry-run systems270- W-1: Final review all assets, VIP pre-launch email, teams ready, press embargo lifts271272**Launch Week**:273- Day 1: Press release, email blast, social blitz, full-budget ads, sales outbound (top 500), in-app notify274- Days 2-5: Daily monitoring, A/B optimizations, <4hr lead SLA, press responses, webinar (Day 3-4)275276**Post-Launch (Weeks +2 to +4)**:277- W+2: Analyze vs. goals, post-launch content, scale winners (+20%/week budget), pause underperformers278- W+3-4: Post-launch report, customer interviews, win/loss analysis, adjust messaging, apply learnings279280### Launch Metrics Dashboard281282**Leading (daily):** Page visitors, demo requests, trial signups, MQLs, pipeline $283**Lagging (weekly):** SQLs, deals closed (# + $), win rate vs. baseline, adoption rate, feature NPS284285```286WEEK 1 TEMPLATE:287Traffic: [actual] vs [goal] | MQLs: [actual] vs [goal]288SQLs: [actual] vs [goal] | Pipeline: $[actual] vs $[goal]289Top channels: [by MQL + CPL] | Underperforming: [action]290```291292---293294## 7. Growth Loops295296| Loop | Mechanism | Example |297|------|-----------|---------|298| **Viral** | User invites users | Dropbox referrals, Calendly links |299| **Content** | Content -> SEO -> signups | HubSpot blog, Ahrefs |300| **UGC** | Users create content -> new users | YouTube, Notion templates |301| **Paid** | Revenue -> ads -> customers -> revenue | Performance marketing |302| **Sales** | Pipeline -> close -> hire -> more pipeline | Enterprise SaaS |303| **Partner** | Enable partners -> referrals -> deals -> more partners | Cloud marketplaces |304305### Loop Health Metrics306307- **Viral**: K-factor > 0.5, invite-to-signup > 20%308- **Content**: Organic traffic growth > 10% MoM, content-to-signup > 2%309- **Paid**: ROAS > 3:1, CAC payback < 12 months310- **Sales**: Pipeline coverage > 3x, win rate > 25%311312### By Stage313314- **Pre-PMF**: No loops -- manual acquisition and learning315- **Early PMF**: Identify natural loop (viral if collaborative, content if SEO-friendly, sales if high ACV)316- **Growth**: Invest in primary loop, test secondary317- **Scale**: 2-3 loops, optimize unit economics per loop318319---320321## 8. Sales Enablement322323### 6 Core Assets3243251. **Sales Deck** (15 slides): Title, problem, solution, benefits, demo, differentiation, logos, case study, pricing, implementation, next steps. Visual-first, modular, updated quarterly.3263272. **One-Pagers** (1-page PDFs): Product overview, competitive comparison, case study with metrics, pricing sheet.3283293. **Battlecards** (per competitor): Overview, strengths/weaknesses, our advantages, win/lose scenarios, talk tracks, proof points. Update monthly.3303314. **Demo Script** (30-45 min): Intro (2 min) -> Discovery (5 min) -> Demo on their use case (20 min) -> Q&A (10 min) -> Next steps (3 min). Show don't tell, use realistic data, focus on outcomes.3323335. **Email Templates**: Cold outreach (3-5 touches), demo follow-up (<2 hrs), trial conversion (Day 1/3/7/14), proposal follow-up, closing sequence.3343356. **ROI Calculator**: Inputs: current costs, time, team size. Outputs: savings, payback, 3-year ROI. Example: "Save $150K/year, 6-month payback, 500% ROI."336337### Training Program338339**Monthly Call** (60 min): Product updates, competitive landscape, win/loss insights, top performer tips, Q&A340341**Quarterly Workshop** (half-day): Messaging refresh, role-play objection handling, product training, customer panel342343**New Hire Onboarding** (4 weeks): W1 company/product/market, W2 ICP/personas/messaging, W3 competitive/battlecards, W4 demo certification (must pass to sell)344345### Marketing <-> Sales Handoffs346347| Touchpoint | Cadence | Content |348|------------|---------|---------|349| Weekly sync | 30 min | Win/loss insights, new assets, field feedback |350| QBR | Quarterly | Pipeline, win rate, deal size, action items |351| Slack #sales-enablement | Daily | Quick questions, updates |352353**SLAs**: Inbound lead follow-up <4 hrs, competitive questions <48 hrs, launch enablement 1 week before, campaign content 2-week lead time.354355---356357## 9. International Expansion358359### 5-Phase Market Entry360361| Phase | Market | Months | Budget % | ARR Target |362|-------|--------|--------|----------|------------|363| 1 | US | 1-6 | 50% ($200K) | $1M |364| 2 | UK | 4-9 | 20% ($80K) | $500K |365| 3 | DACH | 7-12 | 15% ($60K) | $300K |366| 4 | France | 10-15 | 10% ($40K) | $200K |367| 5 | Canada | 7-12 | 5% ($20K) | $100K |368369**Total Year 1**: $400K spend, expected 3:1 pipeline ROI370371### Key Entry Considerations372373- **US**: Largest TAM, fastest cycles, USD pricing, US SDRs/AEs374- **UK**: English-speaking EU gateway, GBP pricing, GDPR compliance375- **DACH**: German translation required, GDPR-first positioning, local case studies376- **France**: Full French localization (website + product + support), local team377- **Canada**: Minimal localization (CAD pricing), leverage US sales team378379### Localization Checklist (per market)380381- [ ] Website: translate, local currency, local phone382- [ ] Pricing: local currency, VAT/taxes displayed383- [ ] Legal: data privacy (GDPR, CCPA, local regs)384- [ ] Sales: local reps or agency385- [ ] Marketing: localized ads, content, case studies386- [ ] Payments: local methods (SEPA, iDEAL, etc.)387388---389390## 10. Messaging Architecture391392### Value Prop Template393394```395[Product] helps [Target Customer] [Achieve Goal] by [Unique Approach]396```397398### 4-Level Hierarchy399400```401L1 Value Proposition: one-liner (why you exist)402L2 Key Benefits: 3-5 pillars (Speed, Quality, Cost, Collaboration)403L3 Features -> Benefits -> Outcomes:404 AI automation -> eliminates manual work -> save 10 hrs/week405 Real-time sync -> no conflicts -> 50% fewer errors406L4 Proof Points: logos, stats ("X teams, Y G2 rating"), case studies407```408409### Messaging by Persona410411| Persona | Key Message | Proof |412|---------|-------------|-------|413| Economic Buyer | "Increase revenue 25%, cut costs $200K/year" | ROI calculator, case studies |414| Technical Buyer | "99.99% uptime, SOC 2, enterprise architecture" | Docs, whitepaper |415| End User | "Less busywork, more impact" | Demo, trial, testimonials |416417### Testing Cadence418419- **Qualitative**: 10-15 customer interviews (quarterly)420- **Quantitative**: A/B test headlines, ad copy, email subjects (measure CTR, conversion, demos)421- **Sales feedback**: Monthly win/loss analysis (what resonates, what doesn't)422- **Cycle**: Test 2-4 weeks -> analyze 1 week -> update docs 1 week -> train sales 1 week -> repeat quarterly423424---425426## Do / Avoid427428**Do**: Define activation as concrete product action | Track leading indicators before scaling | Sequence 1-2 channels | AI for execution, humans for strategy | Tier ICP by fit + intent | Weekly GTM review (pipeline + experiments + decisions)429430**Avoid**: All channels in parallel | Content spam without measurement | Vanity metrics without retention | Scaling paid before activation is stable | Skipping sales enablement when adding reps431432---433434## Resources435436| Resource | Purpose |437|----------|---------|438| [channel-playbooks.md](references/channel-playbooks.md) | Detailed channel execution |439| [sales-motion-design.md](references/sales-motion-design.md) | Sales process + RevOps |440| [plg-implementation.md](references/plg-implementation.md) | PLG execution + PQL frameworks |441| [ai-gtm-automation.md](references/ai-gtm-automation.md) | AI-powered GTM tools |442443### Templates444445| Template | Purpose |446|----------|---------|447| [gtm-strategy.md](assets/gtm-strategy.md) | Full GTM strategy document |448| [launch-playbook.md](assets/launch-playbook.md) | Launch planning |449| [icp-definition.md](assets/icp-definition.md) | ICP documentation |450451### Data452453| File | Purpose |454|------|---------|455| [sources.json](data/sources.json) | GTM resources |456457---458459## What Good Looks Like460461- One primary ICP with clear anti-ICP and measurable triggers (signals) for targeting.462- A motion decision with explicit economics (ACV, payback, touch model) and defined handoffs.463- One primary channel with a test plan, success metrics, and stop/pivot triggers.464- Instrumented funnel from source -> activation/value -> revenue/expansion (by segment + channel).465- A weekly operating cadence with a backlog of experiments and a written decision log.466467---468469## Related Skills470471| Skill | Use For |472|-------|---------|473| startup-competitive-analysis | Market mapping, battlecards, positioning inputs |474| marketing-content-strategy | Messaging deep dive, content calendar |475| startup-business-models | Pricing, unit economics, revenue models |476| marketing-leads-generation | Lead acquisition, demand gen |477| marketing-ai-search-optimization | GEO/AI search visibility |478| marketing-social-media | Social channel execution |