메뉴
Go-to-market strategy: market positioning, pricing, packaging, sales enablement, competitive analysis, launch planning, distribution channels, PLG vs SLG, developer marketing, enterprise sales, partnership strategy, category creation.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | sdlc-gtm-strategy |
| description | Go-to-market strategy: market positioning, pricing, packaging, sales enablement, competitive analysis, launch planning, distribution channels, PLG vs SLG, developer marketing, enterprise sales, partnership strategy, category creation. |
| version | 6.0.0-moderate |
| author | Dinoudon |
| license | MIT |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["sdlc","gtm","go-to-market","pricing","sales","marketing","launch","distribution","enterprise-sales","partnerships"],"related_skills":["sdlc-product-growth","sdlc-developer-relations","sdlc-prd-to-production","sdlc-finance-ops"]}} |
How software companies bring products to market. From launch to scale.
Trigger when user:
┌─────────────────────────────────────────────────────────┐
│ GTM Motion Spectrum │
├──────────────┬──────────────┬───────────────────────────┤
│ PRODUCT-LED │ HYBRID │ SALES-LED │
│ (PLG) │ (PLG + SLG) │ (SLG) │
│ │ │ │
│ Self-serve │ Self-serve │ Outbound sales │
│ Freemium │ + Sales │ Enterprise deals │
│ Viral │ assist │ Procurement │
│ │ │ │
│ $0-50 ACV │ $5K-100K ACV │ $100K+ ACV │
│ │ │ │
│ Slack, Zoom │ Stripe, │ Salesforce, │
│ Notion, Figma│ Datadog, │ Oracle, Workday │
│ │ MongoDB │ │
└──────────────┴──────────────┴───────────────────────────┘
| Signal | PLG | Hybrid | Sales-Led |
|---|---|---|---|
| Buyer = developer | ✅ | ✅ | ❌ |
| ACV < $10K | ✅ | ✅ | ❌ |
| Long sales cycle OK | ❌ | ✅ | ✅ |
| Complex implementation | ❌ | ✅ | ✅ |
| Network effects | ✅ | ✅ | ❌ |
| Compliance-heavy industry | ❌ | ✅ | ✅ |
T-8 weeks: Define positioning, messaging, target audience
T-6 weeks: Create assets (landing page, demo, docs, blog post)
T-4 weeks: Beta/early access (50-100 users for feedback)
T-2 weeks: Press/analyst briefings, influencer outreach
T-1 week: Internal enablement (sales, support, CS)
T-0: LAUNCH (Product Hunt, HN, Twitter, blog)
T+1 week: Follow-up content (case studies, tutorials)
T+2 weeks: Measure results, iterate on messaging
T+4 weeks: Expand to additional channels
Product:
□ Feature-complete and tested
□ Performance benchmarks passing
□ Security review complete
□ Documentation complete
□ API reference published
Marketing:
□ Landing page live
□ Blog post written
□ Demo video recorded
□ Social media posts scheduled
□ Email announcement drafted
Sales:
□ Sales deck updated
□ Pricing page live
□ Competitive battlecard ready
□ Demo script prepared
□ FAQ document ready
Support:
□ Knowledge base articles
□ Support team trained
□ Escalation paths defined
□ Monitoring dashboards ready
Source: April Dunford, Obviously Awesome
For [target customer]
Who [statement of need or opportunity]
The [product name] is a [product category]
That [statement of key benefit / compelling reason to buy]
Unlike [primary competitive alternative]
Our product [statement of primary differentiation]
For internet businesses
Who need to accept payments online
Stripe is a payment infrastructure platform
That lets developers integrate payments with 7 lines of code
Unlike PayPal or legacy payment processors
Our product is developer-first with best-in-class APIs and documentation
Level 1: Category (what you are)
"Payment infrastructure for the internet"
Level 2: Value prop (why you matter)
"Increase revenue with a payments platform built for growth"
Level 3: Proof points (how you deliver)
"7 lines of code to first payment"
"99.999% uptime"
"$1T+ processed annually"
Level 4: Feature details (what you built)
"Support for 135+ currencies"
"Machine learning fraud detection"
"Real-time reporting dashboard"
1. Prospecting: Identify target accounts (ICP matching)
2. Outreach: Cold email, LinkedIn, events, referrals
3. Discovery: Understand pain, budget, timeline, decision-makers
4. Demo: Tailored demo showing solution to their specific pain
5. Technical evaluation: POC, security review, architecture review
6. Business case: ROI analysis, cost comparison
7. Negotiation: Pricing, terms, SLA, contract
8. Close: Legal review, procurement, signature
9. Onboarding: Implementation, training, go-live
10. Expansion: Upsell, cross-sell, renewal
| Metric | Target | World-Class |
|---|---|---|
| Win rate | 20-25% | 30%+ |
| Sales cycle | 90-180 days | <90 days |
| ACV | $50K-500K | $1M+ |
| Net retention | 110% | 130%+ |
| CAC payback | 18 months | <12 months |
| Quota attainment | 60-70% | 80%+ |
1. Sales deck (10-15 slides)
2. Product demo script
3. Competitive battlecard (per competitor)
4. ROI calculator
5. Case studies (3-5 per vertical)
6. Security questionnaire (pre-filled)
7. Technical architecture overview
8. Pricing calculator
9. Contract templates (MSA, DPA, SLA)
10. Objection handling guide
| Channel | Type | Best For | Examples |
|---|---|---|---|
| Direct sales | Owned | Enterprise, high ACV | Salesforce, Workday |
| Self-serve | Owned | PLG, developer tools | Stripe, Notion |
| Marketplace | Partner | Cloud apps | AWS, GCP, Azure Marketplace |
| Reseller | Partner | Regional reach | VARs, SIs, consultancies |
| Affiliate | Partner | Content-driven | Review sites, comparison blogs |
| OEM/embedded | Partner | White-label | SDK embedded in other products |
| Open source | Community | Developer tools | MongoDB, Elastic, GitLab |
Benefits:
- Reach: Millions of cloud customers
- Billing: Consolidated through existing cloud bill
- Trust: Cloud provider endorsement
- Co-sell: Joint sales with cloud reps
Requirements:
- Technical integration (listing, metering)
- Security review (AWS Foundational Technical Review)
- Pricing alignment (typically 15-20% marketplace fee)
- Support SLA alignment
┌─────────────────────────────────────────┐
│ BATTLECARD: Us vs [Competitor] │
├─────────────────────────────────────────┤
│ When They Win: │
│ • [Specific scenario] │
│ • [Specific scenario] │
│ │
│ When We Win: │
│ • [Specific scenario] │
│ • [Specific scenario] │
│ │
│ Their Pitch: │
│ • "[Their main value prop]" │
│ │
│ Our Counter: │
│ • "[How we respond]" │
│ │
│ Trap-Setting Questions: │
│ • "Have you considered [our strength]?" │
│ • "What happens when [their weakness]?" │
│ │
│ Pricing Comparison: │
│ • Them: [pricing model] │
│ • Us: [pricing model] │
│ • Delta: [cost difference] │
└─────────────────────────────────────────┘
1. Technology: Integrate with complementary tools
Example: Stripe + Shopify (payment processing)
2. Channel: Resellers, distributors, VARs
Example: Snowflake + Deloitte (implementation)
3. Strategic: Co-development, co-marketing
Example: AWS + Anthropic (AI infrastructure)
4. Community: Open source, developer ecosystem
Example: Vercel + Next.js (framework + hosting)
Criteria:
1. Strategic fit (aligned vision, complementary products)
2. Market reach (new customers, new segments)
3. Technical effort (integration complexity)
4. Revenue potential (direct + indirect)
5. Brand value (association with partner)
6. Exclusivity (open vs exclusive)
7. Resource requirement (team, support, maintenance)
AWARENESS → INTEREST → EVALUATION → PURCHASE → EXPANSION
│ │ │ │ │
Website Demo POC/Trial Closed Upsell
visitors requests starts deals revenue
│ │ │ │ │
100K/mo 500/mo 200/mo 50/mo $10K/mo
↓ ↓ ↓ ↓ ↓
2% → Demo 40% → POC 25% → Close 20% → Expand
Series A (10-30 employees):
├── Head of Sales (or founder-led sales)
├── 2-3 SDRs (outbound prospecting)
├── 2-3 AEs (closing deals)
├── 1 Marketing generalist
└── 1 CS manager
Series B (30-100 employees):
├── VP Sales
├── Sales team (SDRs → AEs → closers)
├── VP Marketing (demand gen + product marketing)
├── CS team (onboarding + retention)
├── Solutions Engineering (technical pre-sales)
└── Rev Ops (pipeline analytics, tooling)
Series C+ (100+ employees):
├── CRO (Chief Revenue Officer)
├── Regional sales teams
├── Enterprise vs SMB split
├── Full marketing org (demand gen, brand, PMM, DevRel)
├── Customer Success org (CSMs, support, training)
├── Revenue Operations (analytics, process, tooling)
└── Partnerships / Channel team
SaaS Sales Compensation:
SDR (Sales Development Rep):
Base: $50K-$70K
Variable: $30K-$50K (based on qualified meetings/opportunities created)
OTE: $80K-$120K
AE (Account Executive):
Base: $80K-$120K
Variable: $80K-$120K (based on closed revenue)
OTE: $160K-$240K
Quota: $400K-$800K ARR/year
Enterprise AE:
Base: $120K-$160K
Variable: $120K-$160K
OTE: $240K-$320K
Quota: $800K-$1.5M ARR/year
Solutions Engineer:
Base: $100K-$140K
Variable: $30K-$60K (tied to AE quota attainment)
OTE: $130K-$200K
## Product Positioning
### Target Market
Primary: [Company size, industry, role]
Secondary: [Adjacent segment]
### Problem Statement
[Target customer] struggles with [problem] because [root cause].
This results in [business impact: lost revenue, wasted time, risk].
### Solution
[Product] is a [category] that [key differentiator].
Unlike [alternatives], we [unique value proposition].
### Key Messages
1. [Message 1 — for awareness]
2. [Message 2 — for evaluation]
3. [Message 3 — for decision]
### Proof Points
- [Customer quote or case study]
- [Metric or benchmark]
- [Award or recognition]
### Competitive Position
Against [Competitor A]: We win on [X], they win on [Y]
Against [Competitor B]: We win on [X], they win on [Y]
Awareness (top of funnel):
- Blog posts (SEO-optimized)
- Industry reports
- Podcast appearances
- Social media content
- Conference talks
Interest (middle of funnel):
- Webinars
- Case studies
- Comparison guides
- ROI calculators
- Product demos
Evaluation (bottom of funnel):
- Free trial / sandbox
- Technical documentation
- Security questionnaire
- Reference customers
- POC support
Purchase (decision):
- Proposal templates
- Contract negotiation
- Implementation plan
- Executive sponsor alignment
Expansion (post-sale):
- Quarterly business reviews
- New feature announcements
- Training and certification
- Community engagement
Channel Type | Best For | Examples
────────────────────┼───────────────────────┼─────────────────
Direct sales | Enterprise ($50K+ ACV)| Salesforce, Palantir
Inside sales | Mid-market ($5-50K) | HubSpot, Datadog
Self-serve | SMB/Developer (<$5K) | Slack, Notion
Marketplace | Platform ecosystems | AWS, Salesforce AppExchange
Channel partners | Geographic expansion | Regional resellers
OEM/embedded | White-label | Embedded analytics
Affiliate | Content-driven | Review sites, bloggers
Tier 1: Registered Partner
Requirements: Sign partner agreement
Benefits: Logo usage, partner portal access
Revenue share: 10-15%
Tier 2: Silver Partner
Requirements: 5+ certified sales reps, $50K annual revenue
Benefits: Co-marketing, deal registration, NFR licenses
Revenue share: 15-20%
Tier 3: Gold Partner
Requirements: 10+ certified reps, $200K annual revenue
Benefits: Dedicated partner manager, joint webinars, MDF
Revenue share: 20-25%
Tier 4: Platinum Partner
Requirements: 20+ certified reps, $1M annual revenue
Benefits: Executive sponsor, joint product development
Revenue share: 25-30%
COMPETITOR: [Name]
Overview:
- Founded: [Year]
- Funding: [$X series Y]
- Market position: [Leader/Challenger/Niche]
Strengths:
1. [Strength 1]
2. [Strength 2]
3. [Strength 3]
Weaknesses:
1. [Weakness 1] — Our advantage: [How we win]
2. [Weakness 2] — Our advantage: [How we win]
3. [Weakness 3] — Our advantage: [How we win]
Common objections when they're evaluating us vs them:
Objection: "[Competitor is cheaper]"
Response: "Our TCO is lower because [reason]. Here's the ROI calculation..."
Objection: "[Competitor has more features]"
Response: "We focus on [core use case] where we're 10x better. Here's proof..."
Win/loss intelligence:
- We win when: [Ideal customer profile]
- We lose when: [When competitor is better fit]
- Typical deal cycle: [X weeks]
- Average deal size: [$X]
Demo structure (30 minutes):
1. Discovery recap (5 min)
"Based on our conversation, your main challenges are [X, Y, Z].
Let me show you how we solve each one."
2. Problem → Solution (15 min)
For each pain point:
- Show the problem (current state)
- Demonstrate the solution (our product)
- Quantify the impact (time saved, revenue gained)
3. Technical deep dive (5 min)
- Architecture overview
- Integration points
- Security/compliance features
4. Next steps (5 min)
- Recap key takeaways
- Propose trial/pilot
- Define timeline and stakeholders
- April Dunford, Obviously Awesome: https://www.aprildunford.com/
- Winning by Design (sales): https://winningbydesign.com/
- Pavilion (revenue leaders): https://joinpavilion.com/
- Cloud marketplaces: https://aws.amazon.com/marketplace/
- Product Hunt launch guide: https://www.producthunt.com/
- Kyle Poyar, OpenView: https://openviewpartners.com/blog/
- a16z go-to-market: https://a16z.com/
- First Round Review: https://review.firstround.com/
- Y Combinator Startup School: https://www.startupschool.org/
- Bessemer Venture Partners: https://www.bvp.com/atlas
## Step 14: Go-to-Market Execution
### Launch Checklist
Pre-launch (4 weeks before): □ Messaging finalized (positioning doc approved) □ Sales enablement complete (battle cards, demo script) □ Marketing assets ready (landing page, blog post, emails) □ PR outreach started (embargo set, press kit sent) □ Product ready (feature complete, QA passed) □ Support ready (FAQ, escalation paths, training) □ Pricing page updated □ Analytics tracking verified
Launch day: □ Product feature enabled (feature flag flipped) □ Blog post published □ Email blast sent (segmented by persona) □ Social media posts scheduled □ PR embargo lifted □ Sales team notified (Slack/email) □ Customer success briefed □ Monitoring active (errors, performance)
Post-launch (1-4 weeks): □ Daily metrics review (signups, activation, revenue) □ Customer feedback collection (NPS, support tickets) □ Sales feedback loop (objections, competitive intel) □ Content amplification (social, communities, forums) □ Iteration based on feedback □ Retrospective (2 weeks post-launch)
### Sales Enablement Package
Assets to prepare:
## Step 15: Marketing Metrics & Attribution
### Attribution Models
### Marketing Dashboard Metrics
Awareness: Traffic, impressions, brand mentions, share of voice Acquisition: MQLs, CPL, conversion rate, landing page performance Activation: MQL-to-SQL, sales cycle, demo conversion Revenue: CAC, CAC payback, pipeline generated, win rate Retention: NRR, CLV, churn by channel, expansion revenue
## Step 16: Competitive Intelligence
### Competitive Monitoring
Sources:
Tools:
## Step 17: Partnership Marketing
### Co-Marketing Playbook
Types:
Partnership selection criteria:
ROI measurement:
Firmographic segmentation:
Company size: SMB (1-50), Mid-market (51-500), Enterprise (500+)
Industry: Technology, Healthcare, Finance, Retail, Manufacturing
Geography: North America, Europe, APAC, LATAM
Revenue: <$1M, $1-10M, $10-100M, $100M+
Funding stage: Seed, Series A/B/C, Public
Behavioral segmentation:
Usage patterns: Power user, regular, occasional, dormant
Feature adoption: Core only, advanced, enterprise features
Engagement: High (weekly), Medium (monthly), Low (quarterly)
Support behavior: Self-serve, mixed, high-touch
Needs-based segmentation:
Price-sensitive: Value-driven, cost-conscious
Feature-rich: Need advanced capabilities
Ease-of-use: Want simplicity, quick setup
Enterprise: Need compliance, SSO, SLA
Developer: Want API access, customization
Segment prioritization matrix:
| Segment | Market Size | Fit | Competition | Priority |
|---------|-------------|-----|-------------|----------|
| Dev tools| Large | High| Medium | 1 |
| Enterprise| Large | Med | High | 2 |
| SMB | Very Large | High| Low | 3 |
ICP definition:
Company:
- B2B SaaS company
- 50-500 employees
- $5M-$50M ARR
- Series A-C funded
- Technical team >30%
- Using modern stack (React, Node, Python)
Buyer:
- Title: VP Engineering, CTO, Head of Platform
- Pain: Developer productivity, deployment speed
- Budget: $50K-$200K annual
- Decision process: Technical evaluation then Business case then Procurement
Timing:
- Recent funding round
- Scaling team (hiring 10+ engineers)
- Migrating to cloud/microservices
- Compliance requirements (SOC 2, ISO)
ICP scoring model:
- Company size match: 0-25 points
- Industry match: 0-25 points
- Technology fit: 0-25 points
- Timing signals: 0-25 points
- Score >70: High priority
- Score 40-70: Medium priority
- Score <40: Low priority
For [target customer]
Who [statement of need or opportunity]
The [product name] is a [product category]
That [statement of key benefit]
Unlike [competitive alternative]
Our product [statement of primary differentiation]
Example:
For engineering teams at B2B SaaS companies
Who struggle with slow deployment cycles and unreliable infrastructure
DeployFast is a continuous deployment platform
That reduces deployment time from hours to minutes with zero-downtime releases
Unlike Jenkins or GitHub Actions
Our product provides intelligent rollback, canary deployments, and production monitoring in one integrated platform
Level 1: Brand message (company-wide)
"We help engineering teams ship software faster and more reliably."
Level 2: Product message (per product)
"DeployFast automates your deployment pipeline with intelligent
rollback and production monitoring."
Level 3: Feature message (per feature)
"Canary deployments let you test changes with 1% of traffic
before full rollout, catching issues before they impact users."
Level 4: Persona message (per audience)
For CTO: "Reduce deployment risk while accelerating delivery."
For VP Eng: "Give your team confidence to deploy anytime."
For DevOps: "Automate rollbacks, monitor canaries, sleep better."
Message testing:
- A/B test landing page headlines
- Survey existing customers on messaging resonance
- Test ad copy variations
- Monitor win/loss reasons for messaging effectiveness
Owned channels:
Website: Conversion-optimized, SEO-focused
Blog: Thought leadership, SEO content
Email: Nurture sequences, product updates
Social: LinkedIn (B2B), Twitter (dev community)
Community: Slack, Discord, forums
Earned channels:
PR: Industry publications, tech press
Analysts: Gartner, Forrester, IDC
Reviews: G2, Capterra, TrustRadius
Referrals: Customer advocacy program
Partners: Co-marketing, integrations
Paid channels:
Search: Google Ads (high intent)
Social: LinkedIn Ads (B2B targeting)
Display: Retargeting, brand awareness
Sponsorships: Newsletters, podcasts, events
Affiliates: Commission-based partnerships
Channel mix by stage:
Seed: Content, community, direct outreach
Series A: +Paid search, events, PR
Series B: +ABM, analyst relations, partner program
Series C+: +Brand, TV/video, global expansion
Cost-Plus Pricing
Formula: Cost + Markup = Price
Example:
COGS per unit: $50
Target margin: 60%
Price = $50 / (1 - 0.60) = $125
Pros: Simple, guaranteed margin
Cons: Ignores willingness-to-pay, competitive dynamics
Best for: Physical goods, professional services
Value-Based Pricing
Framework:
1. Quantify customer value (ROI calculator)
2. Segment by value perception
3. Set price as % of value delivered (10-30% rule)
4. Validate with willingness-to-pay research
Value Equation:
Value = (Gain - Pain) / Risk
Price ≤ Value × 0.25 (captures 25% of value created)
Example:
Saves customer $500K/year → Price: $50-125K/year
Reduces risk by $1M → Price: $100-250K/year
Competitive Pricing
Strategy Matrix:
Premium: 20-50% above market (differentiated product)
Parity: ±10% of market (commodity categories)
Penetration: 20-50% below market (market share grab)
Freemium: $0 base + paid tiers (PLG motion)
Competitive intel sources:
- G2/Capterra price filters
- Competitor pricing pages (Wayback Machine)
- Sales team win/loss reports
- Mystery shopping
- Industry analyst reports
Usage-Based Pricing
Models:
Per-user: $X/seat/month (SaaS standard)
Per-transaction: $X/transaction (payments, API)
Per-unit: $X/GB, $X/compute hour (infrastructure)
Per-feature: Base + premium features (modular)
Hybrid: Base fee + usage overage (telecom, cloud)
Metrics that scale:
Good: Users, transactions, revenue processed
Bad: CPU cycles, API calls (misaligned incentives)
Slack example (2022):
Free → Pro ($7.25/user/mo) → Business ($12.50) → Enterprise (custom)
Usage signals: Message history, integrations, compliance
Good-Better-Best Framework
Tier Design Principles:
Good (Starter):
- Solve core problem
- Limited to small teams
- Self-serve support
- Price anchor: $29-49/mo
Better (Professional): [TARGET TIER]
- Full feature set
- Team collaboration
- Priority support
- Price: 2-3x Starter
- Target: 60-70% of revenue
Best (Enterprise):
- Everything in Pro
- Advanced security/compliance
- Dedicated support/CSM
- Custom integrations
- Price: 5-10x Starter
- Target: 20-30% of revenue
Decoy Effect:
Make "Better" the obvious choice by positioning "Best" as expensive
Creates anchor that makes "Better" feel like great value
Feature Packaging Matrix
Feature | Starter | Pro | Enterprise
-------------------------|---------|--------|----------
Core functionality | ✓ | ✓ | ✓
Users | 5 | 25 | Unlimited
Storage | 10GB | 100GB | Unlimited
API access | ✗ | ✓ | ✓
Custom integrations | ✗ | 3 | Unlimited
SSO/SAML | ✗ | ✗ | ✓
Audit logs | ✗ | 30d | 1 year
Dedicated support | ✗ | Email | 24/7 phone
SLA | ✗ | 99.9% | 99.99%
Data residency | ✗ | ✗ | ✓
Rule: Each tier should have 2-3 "must-have" features that force upgrade
Discount Types and Guidelines
Volume Discounts:
10-49 seats: 0% off (list price)
50-99 seats: 10% off
100-249 seats: 15% off
250-499 seats: 20% off
500+ seats: 25% off (requires exec approval)
Term Discounts:
Monthly: List price
Annual: 15-20% off (standard)
2-year: 25% off
3-year: 30% off (requires VP approval)
Strategic Discounts:
Startup program: 50% off for 1 year (< $5M funding)
Nonprofit: 25-50% off
Education: 50-75% off
Partner/reseller: 20-30% off
Logo/press: Additional 10% for case study rights
Discount Approval Matrix:
0-10%: Rep discretion
11-20%: Sales manager approval
21-30%: VP Sales approval
31%+: CEO/CRO approval
Price Testing Methodologies
Van Westendorp Price Sensitivity Meter:
Ask 4 questions to target market (n ≥ 100):
1. At what price would this be too cheap you'd doubt quality?
2. At what price is this a bargain (great value)?
3. At what price is this getting expensive (but you'd still consider)?
4. At what price is this too expensive (would never buy)?
Plot responses → find optimal price range
PMC (Point of Marginal Cheapness): Below = quality concerns
PME (Point of Marginal Expensiveness): Above = too costly
OPP (Optimal Price Point): Where PMC and PME curves cross
Gabor-Granger Method:
1. Present product at specific price point
2. Ask: "Would you buy at $X?" (Yes/No)
3. Test 5-7 price points per respondent
4. Plot demand curve → find revenue-maximizing price
A/B Price Testing:
Test variants: Price A vs Price B
Metrics: Conversion rate, ARPU, LTV, total revenue
Duration: 2-4 weeks minimum
Sample: ≥ 1000 visitors per variant
Tools: Optimizely, VWO, LaunchDarkly
BANT Qualification
Budget:
"What budget have you allocated for solving this?"
"Is there a budget line item, or would this need approval?"
"What's your typical investment in tools like this?"
Authority:
"Who else is involved in this decision?"
"What does your evaluation/procurement process look like?"
"Who has final sign-off authority?"
Need:
"What triggered this initiative now?"
"What happens if you don't solve this in the next 6 months?"
"How are you handling this today? What's broken?"
Timeline:
"When do you need a solution in place?"
"Is there a hard deadline driving this?"
"What other priorities compete with this project?"
MEDDPICC Advanced Qualification
Metrics:
"How will you measure success?"
"What KPIs are you trying to move?"
"What's the financial impact of solving this?"
Economic Buyer:
"Who controls the budget for this initiative?"
"What does this person care about most?"
Decision Criteria:
"What are your must-have vs nice-to-have requirements?"
"How will you compare vendors?"
Decision Process:
"Walk me through how decisions like this get made."
"Who reviews, who approves, what's the timeline?"
Paper Process:
"What does legal/procurement review look like?"
"Any standard terms or security reviews required?"
Identified Pain:
"What's the #1 problem you're trying to solve?"
"How does this pain manifest day-to-day?"
Champion:
"Who on your team is most passionate about fixing this?"
"Would they advocate internally for our solution?"
Competition:
"Who else are you evaluating?"
"What's your current solution? Why switch now?"
Standard Demo Flow (30 minutes)
[0-5 min] Personalize
"Based on our conversation, your main challenge is [X].
I'll show you exactly how we solve that. Questions first?"
[5-10 min] Problem Recap
"You mentioned [pain point]. Here's how that typically
costs companies like yours [quantified impact]."
[10-20 min] Solution Demo
Start with the "wow moment" (most impactful feature)
Show workflow that matches their use case
Use their data/terminology when possible
Pause every 3-5 min: "Does this match what you need?"
[20-25 min] Differentiation
"Unlike [competitor/status quo], we [unique advantage]."
Show 2-3 specific differentiators relevant to them
[25-30 min] Next Steps
"Based on what you've seen, does this address your needs?"
"What would you need to see to move forward?"
Propose specific next step (POC, technical review, proposal)
Technical Deep Dive (45 minutes)
[0-5 min] Context
"What's your current tech stack? Any constraints?"
[5-15 min] Architecture Overview
System architecture diagram
Integration points with their stack
Security/compliance capabilities
[15-30 min] Hands-On
Live environment walkthrough
API demonstration
Custom configuration example
[30-40 min] Q&A / Whiteboarding
Address specific technical questions
Draw architecture on whiteboard
Discuss migration/implementation path
[40-45 min] Technical Next Steps
"Would a POC/pilot help validate this?"
"Should we loop in your security team?"
Common Objections and Responses
"It's too expensive."
Response: "I understand price is important. Let's look at the ROI.
You said [X problem] costs you [$Y/year]. Our solution is [$Z/year],
so you'd see [N]x return in the first year. Does that math work for you?"
Technique: Reframe cost as investment, anchor to value
"We're happy with [competitor]."
Response: "That's great they're working for you. Curious —
if you could change one thing about [competitor], what would it be?
[Listen]. That's actually where we differentiate: [specific capability]."
Technique: Find the gap, don't trash competitor
"Send me some information."
Response: "Happy to. To make sure I send relevant materials,
can you tell me what specifically you'd like to learn about?
[Then qualify: "What's driving your interest now?"]"
Technique: Don't send blind — qualify the request
"Not the right time."
Response: "Totally understand. When would be a better time?
And what would need to change for this to become a priority?"
Technique: Get specific timeline, uncover real objection
"I need to talk to my team."
Response: "Of course. What questions do you think they'll have?
Would it help if I joined that conversation to address them directly?"
Technique: Multi-thread, offer to help build internal case
"We don't have budget."
Response: "Budget is often a matter of priority. If we could show
[X ROI] within [Y months], would that change how you think about funding?"
Technique: Challenge gently, reframe as ROI conversation
Assumptive Close
"So we'll start with 50 seats on the Pro plan, annual billing.
I'll send the contract over today — who should I address it to?"
When to use: Strong buying signals, verbal agreement on value
Urgency Close
"Our Q2 pricing ends Friday — the annual discount goes from
20% to 10% after that. Want to lock in the better rate?"
When to use: Real deadline exists, customer is price-sensitive
Warning: Never manufacture fake urgency
Summary Close
"Let me recap what we've agreed on:
- Solves your [problem A] and [problem B]
- 100 seats on Enterprise plan
- 2-year commitment at 25% discount
- Implementation starts March 1st
Did I capture everything? Ready to move forward?"
When to use: Complex sale, multiple stakeholders, long cycle
Puppy Dog Close (Trial/POC)
"Why don't we set up a 30-day pilot with your team?
No commitment — if it doesn't deliver results, you walk away.
If it does, we convert to annual. Fair?"
When to use: Risk-averse buyer, needs proof before committing
Tier 1: Strategic (1:1) — Top 10-50 Accounts
Characteristics:
ACV: $100K+
Effort: High-touch, personalized
Team: Named account team (AE + SDR + marketer)
Timeline: 6-18 month cycles
Tactics:
Custom research reports for each account
Personalized landing pages (account-specific URLs)
Executive dinner invitations
Bespoke content (industry reports, ROI models)
Handwritten notes, personalized gifts
Custom event experiences
Budget: $5K-$25K per account per year
Content: 100% custom per account
Tier 2: Scale (1:Few) — 50-500 Accounts
Characteristics:
ACV: $25K-$100K
Effort: Semi-personalized by segment
Team: Shared ABM marketer across segments
Timeline: 3-9 month cycles
Tactics:
Industry-specific content and campaigns
Cluster-based events (industry roundtables)
Programmatic ABM ads (industry-targeted)
Webinars for specific verticals
Semi-personalized outreach sequences
Budget: $1K-$5K per account per year
Content: Customized by industry/segment
Tier 3: Programmatic (1:Many) — 500-5000 Accounts
Characteristics:
ACV: $10K-$25K
Effort: Automated personalization
Team: Demand gen team manages
Timeline: 1-6 month cycles
Tactics:
Programmatic display ads (account-targeted)
Automated email sequences with merge fields
Industry-specific nurture tracks
Retargeting campaigns
Chatbot with account recognition
Budget: $100-$1K per account per year
Content: Templates with dynamic fields
Personalization Levels
Level 1 — Basic (Tier 3):
- Company name in subject line
- Industry-specific content
- Role-based messaging
Tools: Marketo, HubSpot, Outreach
Level 2 — Advanced (Tier 2):
- Reference recent company news/funding
- Industry-specific case studies
- Competitor-aware messaging
- Custom value props by segment
Tools: Demandbase, 6sense, Terminus
Level 3 — Deep (Tier 1):
- Reference specific company initiatives
- Name key stakeholders in content
- Custom ROI models with their data
- Personalized video messages
- Account-specific landing pages
Tools: Vidyard, PathFactory, custom builds
Account Intelligence Template
Account Name: [Company]
Industry: [Vertical]
Revenue: [$X] | Employees: [N] | Growth: [X%]
Recent News: [Funding, M&A, leadership changes]
Key Initiatives: [Digital transformation, cost reduction, etc.]
Current Stack: [Competitors/integrations]
Decision Makers:
- Economic Buyer: [Name, Title, LinkedIn]
- Champion: [Name, Title, LinkedIn]
- Influencer: [Name, Title, LinkedIn]
- Blocker: [Name, Title, LinkedIn]
Pain Points:
1. [Specific pain with business impact]
2. [Specific pain with business impact]
Value Proposition: [Tailored to their pains]
Competitive Intel: [Who else they're evaluating]
Engagement History: [Previous touchpoints]
Next Actions: [Specific outreach plan]
Why Multi-Thread:
Single-threaded deals have 5x higher risk of stalling
Average B2B buying committee: 6-10 stakeholders
Champion leaving = deal dies if single-threaded
Multi-Threading Map:
Economic Buyer (C-suite/VP) → Executive briefing, ROI focus
Champion (Day-to-day user) → Product deep dive, enablement
Technical Evaluator (IT/Eng) → Technical demo, security review
End Users (Team leads) → Use case workshops, trials
Procurement/Legal → Contract terms, compliance
Blockers (Incumbent vendor) → Differentiation, migration ease
Engagement Cadence:
Week 1-2: Identify all stakeholders via LinkedIn + champion intel
Week 3-4: Begin parallel outreach (personalized per role)
Week 5-6: Group meeting (align all on problem/solution)
Week 7-8: Role-specific follow-ups
Week 9+: Executive alignment, proposal, close
Template — Multi-Thread Outreach:
Subject: [Company] + [Our Company]: [Specific topic]
Hi [Name],
[Champion name] suggested I reach out — we're working with
[Company] on [initiative]. As [their role], I thought you'd
find this relevant: [specific value prop for their role].
[Link to role-specific content/case study]
Would 20 minutes this week work to discuss?
CAC by Channel Benchmark (B2B SaaS)
Channel | Avg CAC | Sales Cycle | Quality
-------------------------|----------|-------------|--------
Organic/SEO | $100-200 | Long | High
Content/Inbound | $200-400 | Medium | High
Referral | $150-300 | Short | Highest
Paid Search (Google) | $300-600 | Short | Medium
Paid Social (LinkedIn) | $400-800 | Medium | Medium
Events/Conferences | $500-1K | Medium | High
Outbound SDR | $800-2K | Long | Variable
ABM | $1K-5K | Long | Highest
Display/Retargeting | $200-500 | Long | Low
Optimal Mix by Stage:
Early (Seed): 70% outbound, 20% content, 10% paid
Growth (A-B): 40% inbound, 30% outbound, 20% paid, 10% events
Scale (C+): 35% inbound, 25% paid, 20% outbound, 20% partners
Channel Efficiency Scoring
Score each channel (1-10) on:
- Volume potential (can it scale?)
- CAC efficiency (cost per customer)
- Time to close (speed)
- Customer quality (LTV of acquired customers)
- Predictability (consistent results?)
Weighted Score = Σ (Score × Weight)
Weights: Volume 20%, CAC 30%, Speed 15%, Quality 25%, Predictability 10%
Decision Framework:
Score ≥ 7.5: Invest aggressively
Score 5-7.5: Optimize and test
Score < 5: Reduce or eliminate
Attribution Model Comparison
First-Touch:
Credit: 100% to first interaction
Use: Understanding awareness drivers
Tool: Google Analytics, UTM tracking
Limitation: Ignores nurture/consideration
Last-Touch:
Credit: 100% to last interaction before conversion
Use: Understanding conversion drivers
Tool: CRM source tracking
Limitation: Ignores awareness/nurture
Linear:
Credit: Equal split across all touches
Use: Fair representation of full journey
Limitation: Treats all touches equally
Time-Decay:
Credit: More weight to recent touches
Use: Long sales cycles
Limitation: Undervalues awareness
U-Shaped:
Credit: 40% first touch, 40% lead creation, 20% split rest
Use: Balanced view of awareness + conversion
Limitation: Complex to implement
Data-Driven (ML):
Credit: Algorithm assigns based on actual conversion patterns
Use: Sophisticated orgs with large data sets
Tools: Google Analytics 4, Bizible, Dreamdata
Limitation: Requires significant data volume
Implementation:
1. Define tracking taxonomy (UTM conventions)
2. Implement CRM + marketing automation integration
3. Tag all campaigns consistently
4. Run multi-model comparison quarterly
5. Use insights to reallocate budget
Demand Generation Budget Template
Total Marketing Budget: $X/month
Allocation:
Content & SEO: 25% ($X × 0.25)
Blog production: $X
SEO tools/consulting: $X
Content distribution: $X
Paid Acquisition: 30% ($X × 0.30)
Google Ads: $X
LinkedIn Ads: $X
Retargeting: $X
Display: $X
Events & Field: 15% ($X × 0.15)
Conferences: $X
Hosted events: $X
Webinars: $X
ABM: 15% ($X × 0.15)
Tier 1 accounts: $X
Tier 2 programs: $X
ABM platforms: $X
Brand & PR: 10% ($X × 0.10)
PR agency: $X
Brand campaigns: $X
Analyst relations: $X
Tools & Infrastructure: 5% ($X × 0.05)
MarTech stack: $X
Analytics: $X
Monthly Review:
- CAC by channel
- Pipeline generated per $ spent
- Budget vs actual spend
- Reallocation recommendations
CAC Payback Calculation
CAC Payback Period = CAC / (ARPU × Gross Margin %)
Example:
CAC: $10,000
ARPU: $500/month
Gross Margin: 80%
Payback = $10,000 / ($500 × 0.80) = 25 months
Benchmarks:
Excellent: < 12 months
Good: 12-18 months
Acceptable: 18-24 months
Concerning: > 24 months
Improvement Levers:
1. Reduce CAC (better targeting, channel optimization)
2. Increase ARPU (upsell, cross-sell, price optimization)
3. Improve gross margin (infrastructure optimization)
4. Accelerate time-to-value (reduce onboarding friction)
Market Prioritization Matrix
Score each market (1-10):
Market Size: TAM in that region
Growth Rate: Market CAGR
Competition: Fewer competitors = higher score
Cultural Fit: Product-market fit signals
Regulatory: Ease of compliance
Talent: Availability of local team
Infrastructure: Internet, payments, logistics
Weighted Score = Σ (Score × Weight)
Top 3-5 markets = expansion targets
Entry Models (low to high investment):
1. Localization only (translate website/docs)
2. Remote sales (sell from HQ, support remotely)
3. Distributed team (local sales + support)
4. Regional office (full local operation)
5. Subsidiary (separate legal entity)
Localization Checklist
Product:
□ UI translated to local language
□ Date/time/currency formats
□ Local payment methods
□ Data residency compliance
□ Right-to-left support (if applicable)
□ Local phone number/address formats
Marketing:
□ Website translated + culturally adapted
□ Local case studies and references
□ Localized pricing page
□ Regional PR/analyst relationships
□ Local social media presence
Legal:
□ GDPR/local privacy compliance
□ Local terms of service
□ Tax registration (VAT, GST)
□ Employment law compliance
□ Data processing agreements
Sales:
□ Local currency invoicing
□ Regional payment terms
□ Local sales team or partners
□ Timezone-appropriate support
□ Regional sales engineering
Vertical Go-to-Market Template
Vertical: [Healthcare / Financial Services / Manufacturing / etc.]
Market Assessment:
TAM: $X billion
SAM: $X million (our addressable portion)
Key players: [Top 10 companies]
Growth drivers: [Regulation, digitization, etc.]
Pain points: [Industry-specific challenges]
Product Adaptation:
Required features: [Compliance, integrations, workflows]
Certifications needed: [HIPAA, SOC2, PCI-DSS, etc.]
Integrations required: [EHR, core banking, ERP, etc.]
Custom workflows: [Industry-specific processes]
GTM Plan:
Messaging: "Built for [vertical]"
Pricing: [Vertical-specific packaging]
Partners: [Industry consultants, system integrators]
Events: [Industry conferences, trade shows]
Content: [Industry reports, compliance guides, ROI studies]
Success Metrics:
Pipeline from vertical: $X
Customers in vertical: N
Market share: X%
Average deal size: $X
Win rate: X%
Adjacent Market Identification
Framework — Ansoff Matrix:
Market Penetration: Existing product × Existing market
→ Sell more to current customers
→ Win share from competitors
Market Development: Existing product × New market
→ New geographies
→ New customer segments
→ New channels
Product Development: New product × Existing market
→ Add features/modules
→ New product tiers
→ Complementary products
Diversification: New product × New market
→ Highest risk
→ Consider only with strong core business
Adjacency Scoring:
Customer overlap: Do existing customers need this? (1-10)
Capability fit: Can we build/sell this? (1-10)
Market attractiveness: Size, growth, competition (1-10)
Brand permission: Will market trust us here? (1-10)
Score ≥ 30: Strong adjacency candidate
Score 20-29: Investigate further
Score < 20: Too far from core
Activation Definition
Activation = User completes key action that correlates with retention
Finding your activation metric:
1. Identify power users (retained 90+ days)
2. Compare their first-week behavior vs churned users
3. Find the action with highest correlation to retention
4. Define as "Activation Event"
Common Activation Events:
Slack: Team sends 2,000 messages
Dropbox: User places file in folder on 2+ devices
Facebook: User adds 7 friends in 10 days
Zoom: User hosts first meeting
Notion: User creates 5 notes in first week
Activation Funnel Template:
Signup → Onboarding Complete → First Value Action → Activation Event
Metrics:
Signup → Onboarding: X% (target: >70%)
Onboarding → First Value: X% (target: >50%)
First Value → Activation: X% (target: >30%)
Overall: Signup → Activation: X% (target: >10%)
Onboarding Optimization
Time-to-Value (TTV):
Measure: Time from signup to activation event
Benchmark: < 1 hour (simple products), < 1 day (medium), < 1 week (complex)
Reduce TTV:
- Remove unnecessary signup fields
- Pre-populate templates/data
- Guided product tours (Appcues, Pendo)
- Interactive walkthroughs
- Skip non-essential setup steps
Progressive Disclosure:
Show only what's needed at each step
Don't overwhelm new users with features
Reveal complexity as user becomes proficient
Checklist Strategy:
□ Create account
□ Complete profile
□ Import data
□ Create first [item]
□ Invite team member
□ Set up integration
□ Complete first workflow
Progress bar: "5 of 7 complete — you're 71% there!"
Engagement Score Model
Components:
Login frequency: Weight: 20%
Daily = 10, Weekly = 7, Monthly = 4, Rarely = 1
Feature adoption: Weight: 30%
Core features used / Total core features × 10
Content creation: Weight: 20%
Items created per week (normalized to 1-10)
Collaboration: Weight: 15%
Invites sent, comments, shares (normalized to 1-10)
Support engagement: Weight: 15%
Positive: Feature requests, feedback (high engagement)
Negative: Bug reports, complaints (may indicate churn risk)
Engagement Score = Σ (Component Score × Weight)
Score Interpretation:
8-10: Champion (power user, advocate candidate)
6-8: Healthy (active, growing usage)
4-6: At Risk (declining engagement, intervention needed)
1-4: Critical (likely churn, immediate action)
Health Score Dashboard
Account Health Score = w1(Engagement) + w2(Product Usage) + w3(Support) + w4(NPS) + w5(Payment)
Weights (adjust per business):
Engagement: 25%
Product Usage: 30%
Support Tickets: 15%
NPS/CSAT: 15%
Payment Health: 15%
Status Thresholds:
Green (Healthy): Score ≥ 80
Yellow (Watch): Score 60-79
Red (At Risk): Score < 60
Automated Triggers:
Score drops > 10 points → Alert CSM
Score drops to Red → Alert VP CS + AE
Score < 40 → Executive intervention
Score increases > 15 → Upsell signal to Sales
Free-to-Paid Conversion Funnel
Stages:
Visitor → Signup → Activated → Engaged → Converted → Expanded
Benchmark Conversion Rates (B2B SaaS PLG):
Visitor → Signup: 5-15%
Signup → Activated: 30-50%
Activated → Engaged: 40-60%
Engaged → Converted: 3-10% (free to paid)
Converted → Expanded: 20-40% (upsell/cross-sell)
Overall: Visitor → Paid: 0.2-1.5%
Optimization Levers:
Visitor → Signup:
- Simplify signup (SSO, magic links)
- Remove credit card requirement
- Strong value proposition on landing page
- Social proof (logos, testimonials, reviews)
Signup → Activated:
- Guided onboarding
- Quick-win templates
- Progress indicators
- Email nurture sequences
Activated → Engaged:
- Feature discovery nudges
- Use case suggestions
- Team collaboration prompts
- Integration recommendations
Engaged → Converted:
- Usage limit notifications
- Feature gating (right features)
- In-app upgrade prompts
- Time-limited trials of premium features
- Personalized upgrade offers
Converted → Expanded:
- Seat expansion prompts
- Usage-based overage nudges
- New module recommendations
- Success-driven upsell timing
PLG Metrics Dashboard Template
Acquisition:
- New signups (daily/weekly/monthly)
- Signup source breakdown
- Signup-to-activation rate
- Viral coefficient (invites sent × conversion)
Engagement:
- DAU/MAU ratio (stickiness, target > 20%)
- Weekly active users (WAU)
- Feature adoption rates
- Session duration and frequency
Conversion:
- Free-to-paid conversion rate
- Time to convert (median days)
- Conversion by cohort
- Trial-to-paid conversion (if applicable)
Revenue:
- ARPU (average revenue per user)
- Expansion revenue %
- Net revenue retention (NRR)
- LTV:CAC ratio
Retention:
- Day 1/7/30 retention curves
- Logo churn rate
- Revenue churn rate
- Reactivation rate
Reporting Cadence:
Daily: Signups, activation, DAU
Weekly: Conversion rates, engagement scores, pipeline
Monthly: Revenue metrics, cohort analysis, churn analysis
Quarterly: LTV:CAC, market analysis, strategic review
Marketing Metrics
MQLs generated
MQL → SQL conversion rate
Cost per MQL
Marketing-sourced pipeline ($)
Marketing-influenced pipeline ($)
Content engagement (views, downloads, shares)
Website traffic (organic, paid, referral)
SEO rankings (target keywords)
Sales Metrics
SQLs received
SQL → Opportunity conversion rate
Average deal size (ACV)
Win rate
Sales cycle length (days)
Pipeline coverage ratio (target: 3-4x)
Quota attainment %
New ARR booked
Customer Success Metrics
NPS / CSAT scores
Net Revenue Retention (NRR)
Logo retention rate
Expansion revenue
Time to value (days)
Health score distribution
Support ticket volume and resolution time
Customer references generated
Product Metrics (PLG)
DAU/MAU ratio
Activation rate
Free-to-paid conversion
Feature adoption rates
Product-qualified leads (PQLs)
Viral coefficient
Time in product
NPS by feature
Section 1: Performance Summary
- Revenue vs plan ($ and %)
- Customer acquisition vs plan
- Key wins and losses
Section 2: GTM Funnel Analysis
- Funnel conversion rates (current vs last quarter)
- Bottleneck identification
- Pipeline health
Section 3: Channel Performance
- CAC by channel
- ROI by channel
- Channel mix recommendations
Section 4: Customer Insights
- NPS/CSAT trends
- Churn analysis (reasons, patterns)
- Expansion pipeline
Section 5: Competitive Landscape
- Win/loss analysis
- Competitive positioning changes
- Market trends
Section 6: Next Quarter Plan
- Revenue targets
- Key initiatives (3-5)
- Resource needs
- Risk mitigation
Per-user pricing:
- $X per user per month
- Pros: Simple, predictable, scales with adoption
- Cons: Penalizes large teams, seat-hoarding
- Examples: Slack, Atlassian, GitHub
Usage-based pricing:
- $X per API call, per GB, per compute hour
- Pros: Fair, aligns cost with value, low barrier
- Cons: Unpredictable, hard to budget
- Examples: AWS, Twilio, Stripe
Flat-rate pricing:
- $X per month for all features
- Pros: Simple, predictable
- Cons: Leaves money on table, no expansion path
- Examples: Basecamp, Buffer
Tiered pricing:
- Free / Pro / Business / Enterprise
- Pros: Clear upgrade path, segments market
- Cons: Feature gating decisions, tier confusion
- Examples: Zoom, Notion, Figma
Hybrid pricing:
- Base fee + usage overage
- Pros: Predictable base, fair expansion
- Cons: Complex to explain
- Examples: Datadog, Snowflake, MongoDB Atlas
Layout:
- 3-4 tiers side by side
- Highlight "Most Popular" tier
- Monthly/Annual toggle (show savings)
- Feature comparison table below
- Enterprise tier: "Contact Sales"
Psychology:
- Anchoring: Show highest price first
- Decoy: Middle tier makes top tier look reasonable
- Social proof: "Used by 10,000+ companies"
- Urgency: "Annual billing saves 20%"
- Risk reversal: "14-day free trial, no credit card"
Common mistakes:
- Too many tiers (4+ is confusing)
- Feature overlap between tiers
- Hidden pricing for enterprise (frustrating)
- No free tier (misses developer adoption)
- Annual-only pricing (kills trial-to-paid)
Situation questions:
- "Walk me through your current [process/tool]."
- "How many people on your team use [relevant tool]?"
- "What does your current stack look like for [area]?"
Problem questions:
- "What's the biggest challenge with your current setup?"
- "How much time does your team spend on [manual task]?"
- "What happens when [bad scenario] occurs?"
Implication questions:
- "How does that impact your team's productivity?"
- "What's the cost of [problem] to your business?"
- "If this continues, what does it mean for [goal]?"
Need-payoff questions:
- "If you could [solve problem], what would that mean for your team?"
- "How would it change things if [desired outcome]?"
- "What would you do with the time saved from [automation]?"
Price objection:
"It's too expensive."
Response: "I understand price is a factor. Let's look at the ROI.
If this saves your team 10 hours/week at $100/hour, that's
$4,000/month in value against our $500/month price. What's the
most important value driver for you?"
Timing objection:
"We're not ready yet."
Response: "Totally understand. What would need to be true for
you to be ready? Often we see teams start with a small pilot
to build the case internally. Would a 30-day pilot help?"
Competitor objection:
"We're already using [competitor]."
Response: "Great, [competitor] is solid. What's working well
with them? What would you change if you could? [Then position
differentiated value in their gap areas.]"
Authority objection:
"I need to check with my boss."
Response: "Of course. What questions do you think they'll have?
Would it help if I joined that conversation? I can prepare a
business case summary for them."
Assumptive close:
"Should we start with the Pro plan or Business plan?"
(Assumes decision is which plan, not whether to buy)
Summary close:
"Based on our conversation, you need [X], [Y], and [Z].
Our [plan] covers all three. Shall we move forward?"
Urgency close:
"Our current promotion ends Friday. If you sign up today,
you'll get [benefit]. After that, it's full price."
Trial close:
"If we could solve [their main objection], would you be ready
to move forward?"
(Tests commitment before proposing solution)
ROI close:
"Based on the numbers we discussed, you'll save $X per month.
The investment is $Y per month. That's a Z:1 ROI. Makes sense
to start, right?"
Tier 1: Strategic ABM (1:1)
- Target: 10-20 dream accounts
- Approach: Fully customized campaigns
- Investment: $5K-$20K per account
- Tactics: Custom content, executive events, direct mail
- Team: Dedicated marketer + sales rep per account
Tier 2: ABM Lite (1:Few)
- Target: 50-100 accounts in same industry/segment
- Approach: Semi-customized campaigns
- Investment: $500-$2K per account
- Tactics: Industry-specific content, targeted ads, webinars
- Team: Shared marketing + sales pods
Tier 3: Programmatic ABM (1:Many)
- Target: 500-1000 accounts matching ICP
- Approach: Automated personalization
- Investment: $50-$200 per account
- Tactics: Targeted ads, personalized emails, dynamic web content
- Team: Marketing automation + SDRs
Account selection:
1. Define ICP criteria (firmographic + technographic)
2. Build target account list (CRM + intent data)
3. Score accounts (fit + intent + engagement)
4. Assign to tiers based on potential value
Multi-threading:
- Identify 5-8 stakeholders per account
- Map buying committee roles:
- Champion: Internal advocate
- Decision maker: Budget authority
- Influencer: Technical evaluator
- Blocker: Risk-averse stakeholder
- Tailor message per role
- Engage across multiple channels
Measurement:
- Account engagement score
- Pipeline generated per account
- Deal velocity (ABM vs non-ABM)
- Win rate (ABM vs non-ABM)
- Average contract value (ABM vs non-ABM)
Market assessment:
□ Total addressable market (TAM) by country
□ Competitive landscape (local + global players)
□ Regulatory requirements (data residency, privacy)
□ Payment infrastructure (local payment methods)
□ Language requirements (localization scope)
□ Cultural considerations (business norms, holidays)
Go-to-market:
□ Local pricing (PPP adjustment)
□ Local domain and SEO (ccTLD, hreflang)
□ Local payment methods (SEPA, iDEAL, UPI, Alipay)
□ Local support (timezone, language)
□ Local partnerships (resellers, integrators)
□ Local legal entity (if required)
Operations:
□ Tax registration (VAT, GST)
□ Employment compliance (if hiring locally)
□ Data residency (local hosting)
□ Currency management (FX risk)
□ Customer support timezone coverage
Vertical selection criteria:
- Market size: >$1B TAM
- Pain severity: High willingness to pay
- Competition: Underserved by existing solutions
- Adjacency: Leverages existing capabilities
- References: Can win 2-3 lighthouse customers
Vertical playbook:
1. Research industry (regulations, workflows, terminology)
2. Customize product (industry-specific features)
3. Build integrations (industry-standard tools)
4. Create content (industry-specific case studies, guides)
5. Hire industry expertise (sales, marketing, product)
6. Partner with industry players (consultants, associations)
7. Win lighthouse customers (reference accounts)
8. Scale (repeatable playbook)
## Related Skills
- [sdlc-product-growth](sdlc-product-growth): Product-led growth (PLG), developer-led growth, growth loops, activation funnels, A/B testing, SaaS
- [sdlc-hiring-talent](sdlc-hiring-talent): Technical hiring and team building: recruiting, interview design, coding assessments, system design
- [sdlc-finance-ops](sdlc-finance-ops): Software company finance and operations: unit economics, SaaS metrics, fundraising (seed to IPO), fi
AI/LLM engineering: LLMOps, prompt engineering, model integration, AI safety, production AI systems.
Data engineering: pipelines, data quality, data mesh, data lakehouse, ETL/ELT, streaming architecture.
DevSecOps: supply chain security, SBOMs, policy-as-code, zero-trust, security automation.
Green software engineering: sustainability, carbon-aware computing, energy-efficient architecture, eco-friendly development.
AI/LLM engineering: LLMOps, prompt engineering, model integration, AI safety, production AI systems.
Data engineering: pipelines, data quality, data mesh, data lakehouse, ETL/ELT, streaming architecture.