Sales AI Skill

Lead Generation

Build comprehensive lead generation programs across inbound (content, SEO, webinars), outbound (cold email, cold calling, social selling), and account-based marketing channels. Use when designing lead generation strategy, building prospecting campaigns, opt...

Lead Generation

Build a consistent, scalable pipeline through coordinated inbound, outbound, and account-based marketing strategies.

Lead Generation Strategy by Company Stage

LEAD GENERATION STRATEGY BY REVENUE STAGE
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Startup (<$1M ARR):
  Total monthly lead target: 50–150 leads
  Primary channels:
    → Outbound cold email (60% of leads): 100–150 emails/week per SDR
    → Founder/CEO outbound LinkedIn (20% of leads): Personal relationship building
    → Content + SEO foundation (10% of leads): Blog posts, landing pages
    → Referral from early customers (10% of leads): Word-of-mouth, referral program
  Team structure: 1–2 SDRs + 1 AE (SDRs also close)
  Monthly spend: $500–$2,000 (tools + data)
  Expected metrics:
    → Cold email reply rate: 8–12%
    → Meeting booking rate: 3–5%
    → Lead-to-close rate: 5–8%
    → Cost per lead: $5–$15
    → Cost per acquisition: $200–$800
  Focus: Volume outreach, rapid iteration, validate ICP through outreach data

Growth ($1M–$10M ARR):
  Total monthly lead target: 200–500 leads
  Primary channels:
    → Outbound multi-channel (40%): Email + LinkedIn + phone cadences
    → Inbound content + SEO (25%): Webinars, ebooks, case studies, blog
    → Events and conferences (15%): Speaking, sponsoring, attending
    → Referral and partner (10%): Structured referral program
    → Paid advertising (10%): LinkedIn ads, Google Ads, retargeting
  Team structure: 3–5 SDRs + 3–5 AEs + 1 Marketing lead
  Monthly spend: $5,000–$20,000 (tools + data + ads + content)
  Expected metrics:
    → Overall reply rate: 12–18%
    → Meeting booking rate: 8–12%
    → Lead-to-close rate: 10–15%
    → Cost per lead: $15–$40
    → Cost per acquisition: $500–$1,500
  Focus: Systematize processes, build content engine, hire dedicated SDRs

Scale ($10M–$50M ARR):
  Total monthly lead target: 500–1,500 leads
  Primary channels:
    → Inbound content + SEO (35%): Multi-format content, demand gen campaigns
    → Outbound ABM (25%): Named account programs, personalized campaigns
    → Events and partnerships (20%): Sponsorships, co-marketing, webinars
    → Paid advertising (10%): Account-based ads, retargeting, lead gen ads
    → Referral and advocacy (10%): Customer advocacy, partner referrals
  Team structure: 5–10 SDRs + 8–15 AEs + Marketing team (5–10) + ABM specialist
  Monthly spend: $20,000–$80,000 (comprehensive stack)
  Expected metrics:
    → Overall reply rate: 15–22%
    → Meeting booking rate: 10–15%
    → Lead-to-close rate: 15–20%
    → Cost per lead: $20–$50
    → Cost per acquisition: $800–$2,000
  Focus: Channel optimization, ABM at scale, customer advocacy engine

Enterprise ($50M+ ARR):
  Total monthly lead target: 1,000–3,000+ leads
  Primary channels:
    → Inbound content + SEO (30%): Enterprise-grade content, thought leadership
    → Outbound ABM (25%): 1:1, 1:few, 1:many account programs
    → Events and partnerships (20%): Major conferences, strategic alliances
    → Paid advertising (12%): Multi-channel paid media, programmatic
    → Referral and advocacy (8%): Formal customer advisory boards, partner network
    → Strategic sales (5%): Direct executive outreach, warm introductions
  Team structure: 15+ SDRs + 20+ AEs + full marketing department + rev ops team
  Monthly spend: $80,000–$300,000+ (enterprise stack)
  Expected metrics:
    → Overall reply rate: 18–25%
    → Meeting booking rate: 12–18%
    → Lead-to-close rate: 18–25%
    → Cost per lead: $25–$60
    → Cost per acquisition: $1,000–$3,000
  Focus: Revenue predictability, channel ROI optimization, competitive displacement

CHANNEL MIX RECOMMENDATIONS BY COMPANY STAGE:
  ┌──────────────┬────────────┬───────────┬──────────┬──────────┬───────────┬──────────┐
  │ Stage        │ Outbound   │ Inbound   │ Events   │ Paid Ads │ Referral  │ ABM      │
  ├──────────────┼────────────┼───────────┼──────────┼──────────┼───────────┼──────────┤
  │ Startup      │ 70%        │ 15%       │ 5%       │ 5%       │ 5%        │ 0%       │
  │ Growth       │ 40%        │ 25%       │ 15%      │ 10%      │ 10%       │ 0%       │
  │ Scale        │ 25%        │ 35%       │ 20%      │ 10%      │ 10%       │ 15%      │
  │ Enterprise   │ 20%        │ 30%       │ 20%      │ 12%      │ 8%        │ 10%      │
  └──────────────┴────────────┴───────────┴──────────┴──────────┴───────────┴──────────┘

Outbound Lead Generation

OUTBOUND LEAD GENERATION FRAMEWORK
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SDR CAPACITY PLANNING:
  Per SDR per month (assuming 20 working days):
    → Cold emails sent: 800–1,200 (40–60/day)
    → Cold calls made: 1,000–1,500 (50–75/day)
    → LinkedIn connection requests: 200–300 (10–15/day, platform limit)
    → Meetings booked: 25–40 (target: 1.5–2.0/weekday)
    → SQLs generated: 15–25 (meetings that qualify to opportunity)

  Per SDR per quarter:
    → Pipeline generated: $150K–$300K (assuming $5K–$10K avg deal size)
    → Revenue closed (attributed): $15K–$60K (10–20% of pipeline)
    → SDR quota: 30–45 meetings/month (varies by deal size and team structure)

COLD EMAIL SEQUENCE (7-Touch Over 21 Days):
  Day 0 — Touch 1: Personalized intro email
    → Subject: "Quick question about [Company]" or "[Mutual Connection] suggested I reach out"
    → Body: 3–4 sentences max, reference specific detail about company
    → CTA: Soft ask — "Is this worth exploring?" not "Book a demo"
    → Send time: Tuesday–Thursday, 8–10 AM or 1–3 PM prospect's timezone
    → Expected: 15–25% open rate, 5–8% reply rate

  Day 2 — Touch 2: Follow-up with value-add
    → Subject: "Re: [original subject]" (thread continuation)
    → Body: Share one relevant insight, case study, or data point
    → CTA: "Would you be open to a brief conversation?"
    → Expected: 12–20% open rate, 3–5% reply rate

  Day 5 — Touch 3: Social proof
    → Subject: "How [Similar Company] achieved [Result]"
    → Body: Brief case study with quantified results
    → CTA: "Happy to share more details if useful"
    → Expected: 10–18% open rate, 2–4% reply rate

  Day 9 — Touch 4: Direct value proposition
    → Subject: "[Specific result] for [Prospect's industry] companies"
    → Body: Clear, benefit-focused pitch with social proof
    → CTA: "15-minute call this week?" with calendar link
    → Expected: 8–15% open rate, 2–3% reply rate

  Day 14 — Touch 5: Change of pace (short, casual)
    → Subject: "Bumping this" or "Still relevant?"
    → Body: 1–2 sentences, no new information
    → CTA: "Reply 'yes' if this is still worth discussing"
    → Expected: 15–25% open rate, 3–5% reply rate (bump emails get good open rates)

  Day 18 — Touch 6: Resource offer (no ask)
    → Subject: "[Industry] benchmark report — thought you might find this useful"
    → Body: Share free resource with no sales pitch
    → CTA: No CTA — pure value to re-engage
    → Expected: 10–15% open rate, 2–3% reply rate

  Day 21 — Touch 7: Breakup email
    → Subject: "Should I close your file?"
    → Body: Permission to stop reaching out, leave door open
    → CTA: "Just reply and I'll circle back next quarter"
    → Expected: 20–30% open rate, 5–8% reply rate (breakup emails get surprising responses)

  TOTAL SEQUENCE EXPECTED:
    → Unique opens: 40–55% of contacts (at least one touch opened)
    → Unique replies: 15–25% of contacts (at least one reply)
    → Positive replies: 5–10% of contacts (interested in talking)
    → Meetings booked: 3–6% of contacts
    → Opt-outs/ "not interested": 2–4% of contacts

COLD CALLING FRAMEWORK:
  Daily cadence per SDR:
    → 50–75 calls/day (30–45 minutes active calling between emails)
    → Call windows: 8–10 AM and 2–4 PM (best answer rates)
    → Voicemail: Leave on 40–60% of non-answers
    → Callbacks: Return calls within 2 hours
    → Follow-up: Log all calls in CRM, schedule email follow-up

  Voicemail script (30 seconds max):
    → "Hi [Name], it's [You] from [Company]. I help [role] teams at [industry]
       companies [specific result]. I was thinking about [Company] and wanted to
       see if [relevant challenge] is something on your radar. Give me a call
       back at [number] or I'll send an email. Thanks!"

  Call metrics (benchmarks):
    → Connection rate: 20–30% (reach actual person, not voicemail)
    → Meeting booking rate: 5–10% of connections
    → Overall meeting rate: 1–3% of total calls
    → Best time to call: Tuesday–Thursday, 10–11 AM or 2–3 PM

Inbound Lead Generation

INBOUND LEAD GENERATION FRAMEWORK
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CONTENT-DRIVEN LEAD GENERATION:
  Content type and lead generation potential:

  Blog Posts (SEO-Driven):
    → Production: 4–8 posts/month (1,500–2,500 words each)
    → Traffic target: 500–5,000 monthly organic visitors (12-month runway)
    → Lead conversion rate: 2–5% of traffic (via CTAs, in-content forms)
    → Leads generated: 10–250/month (depends on traffic volume)
    → Cost per lead: $5–$20 (content production cost / leads)
    → SEO timeline: 3–6 months to rank, 6–12 months to compound

  Webinars:
    → Production: 2–4 webinars/month
    → Registration-to-attendance rate: 30–50%
    → Attendance-to-lead rate: 60–80% (hand raise, Q&A, poll participation)
    → Leads per webinar: 20–200 (depends on promotion and topic)
    → Lead quality: HIGH (active engagement, specific interest)
    → Cost per lead: $15–$50 (production + promotion cost / leads)
    → Follow-up: Contact attendees within 24 hours, send replay to no-shows

  Ebooks / Whitepapers (Gated):
    → Production: 2–4 per quarter
    → Download-to-lead rate: 100% (gated content = captured lead)
    → Downloads per asset: 200–2,000 (varies by topic and promotion)
    → MQL conversion rate: 15–25% of downloads
    → Cost per lead: $10–$30 (production + promotion cost / downloads)
    → Best practices: 10–20 pages, data-driven, actionable insights

  Case Studies:
    → Production: 1–2 per month
    → Conversion rate (to demo request): 3–8% of readers
    → Lead quality: HIGHEST (prospects self-select by use case)
    → Cost per lead: $25–$75 (production cost / leads)
    → Best practices: Quantified results, specific challenges, clear ROI

  Landing Page Optimization:
    → Form fields: 3–5 fields optimal (more fields = lower conversion)
    → Conversion rate: 15–35% of landing page visitors (industry average)
    → A/B test elements: Headline, CTA text, form length, social proof
    → Expected improvement: 10–20% lift from A/B testing over 3 months

SEO STRATEGY BENCHMARKS:
  → Keywords to target: 50–200 primary keywords (based on company stage)
  → Target positions: Top 3 for high-intent keywords ("best [category] tool")
  → Organic traffic growth target: 20–40% quarter-over-quarter (Year 1)
  → Domain authority growth: +2–5 DA points per quarter
  → Backlink acquisition: 10–50 quality backlinks/month
  → Content velocity: 2–4 published pieces/week minimum
  → Keyword research tools: Ahrefs ($99/mo), SEMrush ($129/mo), Moz ($99/mo)

Lead Scoring Model

LEAD SCORING MODEL CONFIGURATION
═══════════════════════════════════════════════════════════

Score Range: 0–100 points
MQL Threshold: 60+ points
SAL Threshold: 75+ points
Hot Lead Threshold: 90+ points (immediate outreach within 1 hour)

Firmographic Score (Max 30 points):
  ┌──────────────────────────────────────┬────────┬───────────────────────────────────┐
  │ Criteria                             │ Points │ Notes                             │
  ├──────────────────────────────────────┼────────┼───────────────────────────────────┤
  │ Employee count in ICP range          │ +10    │ 50–1,000 employees                │
  │ Annual revenue in ICP range          │ +10    │ $10M–$500M                        │
  │ Industry in target list              │ +5     │ NAICS codes: 51-53, 54            │
  │ Geography in target region           │ +3     │ US, Canada, UK, Western Europe    │
  │ Company type (private/public)        │ +2     │ Matches ICP preference            │
  │ Funding status (Series A+ or profit) │ +2     │ Growth-stage or established       │
  │ Negative: Competitor company         │ -100   │ Immediate disqualification        │
  │ Negative: Government/non-profit      │ -100   │ Immediate disqualification        │
  └──────────────────────────────────────┴────────┴───────────────────────────────────┘

Behavioral Score (Max 40 points):
  ┌────────────────────────────────────────────────┬────────┬───────────────────────┐
  │ Behavior                                       │ Points │ Decay (points/month)  │
  ├────────────────────────────────────────────────┼────────┼───────────────────────┤
  │ Visited pricing page                           │ +15    │ -3                    │
  │ Visited demo/request demo page                 │ +20    │ -4                    │
  │ Downloaded gated content (ebook/whitepaper)    │ +10    │ -2                    │
  │ Attended webinar                               │ +12    │ -3                    │
  │ Downloaded case study                          │ +15    │ -3                    │
  │ Opened email (any)                             │ +2     │ -1                    │
  │ Clicked link in email                          │ +4     │ -1                    │
  │ Replied to email                               │ +25    │ -5                    │
  │ Visited pricing + demo + case study in 7 days  │ +35    │ -7                    │
  │ Submitted contact form                         │ +20    │ -4                    │
  │ Visited comparison page (vs competitor)        │ +18    │ -4                    │
  │ Visited homepage only (no deep engagement)     │ +1     │ -1                    │
  └────────────────────────────────────────────────┴────────┴───────────────────────┘

Technographic Score (Max 15 points):
  ┌────────────────────────────────────────────┬────────┬───────────────────────┐
  │ Technology Signal                          │ Points │ Notes                 │
  ├────────────────────────────────────────────┼────────┼───────────────────────┤
  │ Uses complementary tool (CRM/ERP/etc)      │ +5     │ Indicates sophistication│
  │ Uses competitor product                    │ +8     │ Displacement opportunity│
  │ Recently added new technology              │ +3     │ Buying mode signal    │
  │ Tech stack matches integration requirements│ +4     │ Easy implementation   │
  └────────────────────────────────────────────┴────────┴───────────────────────┘

Intent Score (Max 15 points):
  ┌────────────────────────────────────────────────┬────────┬───────────────────────┐
  │ Intent Signal                                  │ Points │ Data Source           │
  ├────────────────────────────────────────────────┼────────┼───────────────────────┤
  │ Bombora topic score > 70                       │ +10    │ Bombora (paid)        │
  │ 6sense engagement score > 60                   │ +10    │ 6sense (paid)          │
  │ Company hiring in relevant role                │ +5     │ LinkedIn/ job boards  │
  │ Company raised funding in last 90 days         │ +8     │ Crunchbase            │
  │ Company employee growth > 15% in 6 months      │ +5     │ ZoomInfo              │
  │ Job posting mentioning competitor tool         │ +7     │ Job board monitoring  │
  └────────────────────────────────────────────────┴────────┴───────────────────────┘

SCORE DECAY RULES:
  → Behavioral scores decay 5–15% per week without new activity
  → Technographic scores decay 2% per month (technology changes slowly)
  → Intent scores decay 10% per week (intent is time-sensitive)
  → Firmographic scores do NOT decay (company attributes change slowly)
  → Score resets to 0 after 90 days of no activity
  → New high-value activity overrides decay (e.g., demo request = +20 regardless)

SCORE REVIEW AND OPTIMIZATION:
  → Monthly review: Analyze score distribution across MQL/SAL/Won/Lost
  → Quarterly recalibration: Adjust point values based on conversion data
  → A/B test scoring thresholds: Test 55 vs 60 vs 65 as MQL threshold
  → Track false positives: Leads scored as MQL but rejected by sales
  → Track false negatives: Leads not scored as MQL but eventually converted

Lead Velocity & Pipeline Health

LEAD VELOCITY RATE (LVR) CALCULATION
═══════════════════════════════════════════════════════════

Formula: LVR = (New Leads This Month − Churned Leads This Month) / New Leads Last Month × 100

  → Target LVR: >10% month-over-month growth
  → Healthy LVR: 10–20% MoM (sustainable growth)
  → Strong LVR: 20–40% MoM (hypergrowth)
  → Concerning LVR: <5% MoM (plateau or decline)
  → Critical LVR: Negative (shrinking pipeline — immediate intervention)

  Example:
    → Last month: 500 new leads, 50 churned (opt-outs, bounced, disqualified)
    → This month: 600 new leads, 45 churned
    → LVR = (600 − 45) / 500 × 100 = 111%
    → Net growth: +11% MoM ✓

PIPELINE GENERATION FORMULA:
  → Meetings Needed = Revenue Target / (Avg Deal Size × Close Rate)
  → Leads Needed = Meetings Needed / Meeting Booking Rate
  → Outreach Needed = Leads Needed / Reply Rate

  Example ($1M quarterly target):
    → Avg deal size: $25,000 ACV
    → Close rate: 20%
    → Meeting booking rate: 8%
    → Reply rate: 15%
    → Meetings needed: $1,000,000 / ($25,000 × 0.20) = 200 meetings
    → Leads needed: 200 / 0.08 = 2,500 leads
    → Outreach needed: 2,500 / 0.15 = 16,667 outreach touches
    → With 5 SDRs: 3,333 touches/SDR/quarter (~167/day) — achievable

REVENUE PREDICTION MODEL:
  → Monthly leads × Reply Rate × Meeting Rate × Close Rate × Avg Deal Size = Monthly Revenue
  → Example: 1,000 leads × 15% × 8% × 20% × $25,000 = $60,000/month projected revenue

Integration Points

Edge Cases