LEAD GENERATION — PIPELINE OS (OPERATIONAL)

Built as a no-fluff execution skill for revenue-aligned demand generation.

Structure: Core lead generation fundamentals first. AI-specific automation in clearly labeled "Optional: AI / Automation" sections.

Scope Boundary (Important)

This skill covers pipeline creation up to qualification and meeting booking (Lead/MQL/SQL/PQL definitions, routing, SLAs, and conversion). It does not cover late-stage closing work such as proposals, negotiation, procurement, contract redlines, or expansion.

If the user is asking for end-to-end sales execution (discovery-to-close), route to startup-sales-execution.

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Core: Lead Type Definitions

Clear definitions prevent Sales/Marketing friction. Align on these before building pipeline.

Lead Type	Definition	Qualification Criteria	Owner
Lead	Any identified contact	Has email/phone, some interest signal	Marketing
MQL (Marketing Qualified Lead)	Fits ICP + engaged with marketing	Firmographic fit + behavior threshold	Marketing
SQL (Sales Qualified Lead)	Ready for sales conversation	MQL + explicit buying signal or demo request	Sales
PQL (Product Qualified Lead)	Used product, shows upgrade potential	Trial/freemium + usage threshold	Product + Sales
SAL (Sales Accepted Lead)	SQL accepted by sales rep	Sales confirms qualification after first contact	Sales

What “Good” Looks Like (Operational)

Set targets from your own baseline, then improve stage-by-stage:

• Sales acceptance rate (SQL → SAL)
• Speed-to-lead (time to first touch)
• Stage conversion rates and time-in-stage
• Pipeline created per channel (not leads)

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Core: Funnel Design Framework

Stage	User State	Content/Action	Goal
Awareness	Problem-aware	Blog, social, SEO, ads	Capture attention
Interest	Solution-curious	Guides, webinars, comparisons	Capture contact info
Consideration	Evaluating options	Case studies, demos, free tools	Convert to MQL
Decision	Ready to buy	Pricing, proposals, trials	Convert to SQL → Opportunity
Activation	New customer	Onboarding, training, quick wins	Reduce churn, increase expansion

Funnel Diagnostic Questions

1. Where is the biggest drop-off? (Measure stage-to-stage conversion)
2. What's your time-in-stage for each? (Long times = friction)
3. Are leads skipping stages? (May indicate misalignment)
4. What percentage of MQLs get accepted by Sales? (Low = quality issue)

For full funnel setup including MQL/SQL criteria and SLAs, use lead-funnel-definition.md.

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Core: Gating Strategy

Not all content should be gated. Use this decision framework:

Content Type	Gate?	Why
Blog posts, how-to guides	No	Build SEO, trust, awareness
Comparison guides, buyers guides	Light gate (email only)	High intent, worth capturing
Industry reports, original research	Gate	High value, worth exchange
ROI calculators, assessments	Gate	Strong buying signals
Product demos, pricing	Gate	Direct sales intent
Case studies	Optional	Gate if detailed; ungate if brief

Do (Gating)

• Ask only for fields you'll use (email + company is often enough)
• Progressive profiling: collect more data over multiple interactions
• A/B test gated vs ungated for the same content
• Honor the value exchange: gated content must deliver real value

Avoid (Gating)

• Gating everything (kills organic discovery)
• Long forms for top-of-funnel content (start with the minimum fields you will use)
• Requiring phone number for early-stage content
• Gating content that's freely available elsewhere

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Core: Attribution Fundamentals + Limitations

Attribution Models

Model	How It Works	Best For	Limitation
First-touch	100% credit to first interaction	Understanding awareness sources	Ignores nurture journey
Last-touch	100% credit to final touch	Understanding closing sources	Ignores awareness
Linear	Equal credit to all touches	Simple multi-touch	Over-credits low-value touches
Time-decay	More credit to recent touches	Long sales cycles	Complex to implement
Position-based	40/20/40 to first/middle/last	Balanced view	Still somewhat arbitrary

What Attribution Cannot Tell You

• Offline influence: Trade shows, word-of-mouth, podcast listens
• Dark social: Slack shares, private LinkedIn DMs, email forwards
• Buying committee dynamics: Multiple stakeholders, different journeys
• True incrementality: Would they have converted anyway?

Do (Attribution)

• Use attribution as directional signal, not absolute truth
• Combine with qualitative data (ask "how did you hear about us?")
• Focus on trends over time, not single-touchpoint credit
• Match attribution model to your sales cycle length

Avoid (Attribution)

• Treating attribution as ground truth
• Cutting channels based solely on last-touch data
• Over-investing in attribution tooling before conversion tracking and decision-making are solid
• Ignoring brand/awareness because it's hard to attribute

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Core: Lead Quality vs Volume Tradeoffs

The 2025 reality: precision > volume. Longer sales cycles and larger buying committees mean quality matters more than ever.

Strategy	Quality	Volume	Best When
Volume play	Lower	Higher	New market, testing channels, brand building
Precision play	Higher	Lower	Known ICP, limited SDR capacity, high ACV
Balanced	Medium	Medium	Most B2B companies

Quality Signals (Prioritize These)

• ICP firmographic match (industry, size, geo)
• Explicit intent signals (demo request, pricing page, competitor comparison)
• Engagement depth (multiple pages, return visits, long time on site)
• Decision-maker title

Warning Signs (Low Quality)

• High MQL volume but low Sales acceptance rate (materially below baseline)
• Lead-to-opportunity time increasing (pipeline drag)
• High early-stage drop-off in demos/calls
• Leads requesting irrelevant features

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Core: Account-Based Sales (ABS)

ABS is often effective in B2B when targeting high-value accounts with complex buying committees.

When to Use ABS

Criteria	Threshold	Why
ACV	>$25K	Worth the research investment
TAM	<5,000 accounts	Finite, targetable market
Buying committee	3+ stakeholders	Multi-threaded approach needed
Sales cycle	>60 days	Time to nurture relationships

ABS Execution Framework

Element	Execution	Resource
Target list	50-200 named accounts, tiered (Tier 1: 20, Tier 2: 50, Tier 3: 130)	assets/channel-plan-30-60-90.md
Account research	Pain points, tech stack, recent news, org chart	30 min per Tier 1 account
Multi-threading	3-5 contacts per account across roles	Champion + economic buyer + user
Custom content	Pain-specific messaging per tier	Tier 1: fully custom; Tier 2: semi-custom
Orchestration	Coordinated email + LinkedIn + ads + events	Sequence all channels
Measurement	Account engagement score, pipeline per account	Add to assets/lead-scoring-model.md

Do (ABS)

• Start with Tier 1 (highest value) to prove the motion
• Coordinate Sales + Marketing on account selection and messaging
• Use intent data to prioritize accounts showing buying signals
• Track account-level metrics, not just lead-level

Avoid (ABS)

• Running ABS on >200 accounts (becomes spray-and-pray)
• Treating ABS as "just personalized email" (it's full orchestration)
• Skipping account research (generic outreach defeats the purpose)
• Single-threading accounts (champion leaves = deal dies)

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When to Use This Skill

• Pipeline build/rehab: net-new SQL targets, revive stalled funnels, rebalance channel mix
• Outbound motions: cold email/LinkedIn, call scripts, reply handling, objection rebuttals
• Landing/CRO: fix hero/offer/CTA, forms, proof, trust, and post-click routing
• Lead scoring/routing: MQL/SQL thresholds, SDR/AE handoff, SLA design
• Experiment cadence: 30/60/90 test plans, ICE/PIE scoring, stop/scale rules
• Compliance/deliverability: CAN-SPAM/GDPR hygiene, domain warmup, opt-out, DKIM/SPF/DMARC
• Account-based sales (ABS): named account targeting, multi-threaded outreach, account scoring

When NOT to Use This Skill

Use related skills instead for:

• Organic content strategy → marketing-social-media
• SEO for landing pages → marketing-seo-complete
• AI search optimization → marketing-ai-search-optimization
• Product-led growth ownership → product-management
• Paid media buying/optimization → marketing-paid-advertising
• Discovery-to-close sales execution (proposals, negotiation, procurement) → startup-sales-execution
• Onboarding, retention, renewals, expansion → startup-customer-success

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Quick Reference

Task	SOP/Template	Location	When to Use
Define ICP + Offer	ICP & Offer Sprint	See Operational SOPs → ICP & Offer	Before messaging, bidding, or list-building
Channel Plan 30/60/90	Test Plan Grid	See Operational SOPs → Channel Plan	New market motion or quarterly reset
Email/LinkedIn Cadence	5-touch skeleton (CTA-first)	See Operational SOPs → Email/LinkedIn Cadences	Cold/prospecting or nurture
Cold Call Script	Talk track w/ discovery	See Operational SOPs → Cold Call Script	Live outbound, event follow-up
Landing Fix	Hero/offer/proof/CTA/form checklist	See Operational SOPs → Landing Page Fix	Low CVR or ad-to-page mismatch
Lead Scoring & Routing	Points + SLA	See Operational SOPs → Lead Scoring + Routing	SDR/AE handoff, CAC/SQL drift
Speed-to-Lead OS	Response + reminders	See Operational SOPs → Speed-to-Lead	Reply/no-show issues, inbox speed
Experiment Matrix	ICE/PIE + stop/scale	See Operational SOPs → Experiment Matrix	Weekly prioritization
Compliance/Deliverability	Authentication + opt-out	See Operational SOPs → Compliance & Deliverability	Cold email/domain health
Email Deliverability 2025	Bulk sender requirements	assets/email-deliverability-2025.md	Bulk sending (5,000+/day to Gmail), new domains
LinkedIn Outreach Safety	Terms-compliant outreach guardrails	assets/linkedin-automation-safety-2025.md	LinkedIn outreach risk reduction

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Decision Tree (Pipeline Triage)

Leads low?
├─ ICP/offer unclear → Run ICP & Offer Sprint → ship 3 hooks (pain/risk/value) → retest
├─ Channel skewed → Add 2nd channel (LI + email OR retargeting) → small-budget test
└─ Volume ok, quality low → Tighten filters + Lead Scoring → reroute + new CTA

Replies low?
├─ Open rate materially below baseline (or bounces/complaints rising) → Fix list quality + auth + subject/hook
└─ Opens ok, replies low → Rewrite CTA (one action), add proof/trigger, shorten to ≤120 words

Bookings low but replies? → Add Speed-to-Lead + 2 follow-ups + calendar drop + friction audit

Traffic ok, CVR low?
├─ Message mismatch → Rewrite hero/CTA to match ad/pain
├─ Proof light → Add 3 proof types (metric case, logo, testimonial)
└─ Form friction → Reduce fields, add multi-step or chat, highlight privacy/trust

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Operational SOPs (Fast Execution)

ICP & Offer Sprint (90 minutes)

• Pull top 10 wins/losses; extract firmographic + trigger + objection patterns.
• Draft 3 offers: pain-killer, speed/automation, risk reversal. Each with 1 quantified proof + 1 urgency lever.
• Ship 3 hooks for LI/email: pain, risk/cost of inaction, better future. Keep CTA singular (fit check/demo/audit).

Pipeline Health Checklist (Weekly)

• Confirm stage definitions (MQL/SQL/SAL) are unchanged (no silent drift).
• Check SQL → SAL acceptance rate vs baseline; investigate top rejection reasons if down.
• Check speed-to-lead median and p90 vs SLA; fix routing/alerts if breached.
• Review bounce/complaint/unsubscribe trends; pause sends if complaints spike.
• Verify list hygiene: suppress bounces/unsubs/complaints; remove role accounts where required.
• Validate 2 outbound sequences against a control (reply rate and meeting rate), not opens/clicks.
• Review landing page CVR vs baseline by top traffic sources; flag message mismatch.
• Confirm forms capture only fields in use; remove any unused “nice-to-have” fields.
• Audit routing: highest-intent leads go to humans first; bots/automation only assist.
• Confirm attribution model is consistent this week (no reporting changes mid-period).
• Inspect pipeline created per channel (not leads) and reallocate effort to top 2 plays.
• Review show rate and no-show reasons; add reminders or friction fixes if slipping.
• Pull 5 recent wins and 5 losses; update ICP triggers/objections accordingly.
• Align with Sales on next-week target accounts (ABS) and the primary CTA per segment.
• Document one change per channel (email/LI/landing) with a hypothesis and stop/scale rule.

Channel Plan (30/60/90)

• 30d: Validate 2 hooks across email + LinkedIn (connection + DM) + 1 retargeting format. Targets: reply rate + CPL guardrails set from your baseline; protect lead quality (Sales acceptance, SQL rate).
• 60d: Keep winners; add webinar/workshop or partner/referral. Layer nurture (value drops) + remarketing.
• 90d: Scale top 2 plays; add lead scoring + SDR SLAs; kill underperformers that stay below an agreed guardrail after a fair sample. Review CAC, SQL→opp→win.

Email/LinkedIn Cadences (3–6 touches)

• Touch 1: Pain hook + proof + single CTA + opt-out. 70–120 words.
• Touch 2: Mini-case (before/after metric) + CTA to booking link.
• Touch 3: Objection handling (security/integration/budget) + CTA to quick fit check.
• Touch 4–6: Cost-of-inaction math, social proof, light bump. Always include opt-out and compliance footer.
• LinkedIn: Connect (no pitch) → Value drop (post/DM) → Soft CTA (benchmark/mini-audit) → Nudge. Add voice note if high-intent.

Cold Call Script (Talk Track)

• Opener: Permission + value in one line; avoid “Did I catch you…”.
• Discovery: 3 questions (current tool/flow, pain metric, trigger/priority).
• Value hits: Match top pain; cite one proof; propose next step.
• Objections: Acknowledge → brief proof → micro-commit (share stack/book 15m).
• Close: Time-bound CTA (this week) + send calendar while on call.

Landing Page Fix (Offer-First)

• Hero: Problem + outcome + proof; CTA above fold. Mirror ad/sequence language.
• Offer: 3 bullets (value, speed, risk reversal). Add pricing cue if helpful.
• Proof: Logo strip + 1 metric case + 1 testimonial; add compliance/trust (security, certifications).
• Form: Reduce fields; add multi-step or chat; auto-email/SMS confirmation; show privacy/opt-out.
• Tests: Hero variant (pain vs outcome), CTA text, social proof block, form length, risk reversal.

Lead Scoring + Routing

• Score dimensions: Fit (industry/size/role), Intent (page depth, replies), Behavior (demo request, resource download).
• [Inference] Example points: Fit (0–40), Intent (0–40), Behavior (0–20). MQL ≥60; SQL ≥75 with decision role or demo intent.
• Routing: MQL → SDR within 15 minutes; SQL → AE calendar hold. SLA: first touch <15m, 2nd touch <2h, 3rd touch same day.

Speed-to-Lead OS

• Inbox+CRM alerts (email, Slack, mobile). Auto-response with calendar link.
• Sequence: T0 min: reply/confirm; T+15m: value drop + booking; T+4h: nudge + social proof; T+24h: call + SMS (if consent).
• Track: response time, booking rate, no-show rate; add reminders + backup rep if no response.

Experiment Matrix

• Score ideas weekly (ICE/PIE). Run 3–5 tests max; cap blast radius (budget/volume).
• Stop if below an agreed guardrail after minimum sample; scale only after repeatable lift across consecutive checks.
• Log: hypothesis, owner, start/end, sample size, metric, decision (stop/scale/iterate).

Compliance & Deliverability (Operational Checklist)

Goal: Sustain deliverability and protect brand trust while running outbound and nurture.

Spam Rate Thresholds (Critical — 2025 Enforcement)

• Gmail/Yahoo/Microsoft hard ceiling: 0.3% complaint rate