marketing-leads-generation

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2
Source

Operational lead generation systems for ICP/offers, outbound cadences, LinkedIn/social selling, landing fixes, lead scoring, analytics, and experiment cadence with strict compliance hygiene.

Install

mkdir -p .claude/skills/marketing-leads-generation && curl -L -o skill.zip "https://mcp.directory/api/skills/download/385" && unzip -o skill.zip -d .claude/skills/marketing-leads-generation && rm skill.zip

Installs to .claude/skills/marketing-leads-generation

About this skill

LEAD GENERATION — PIPELINE OS (OPERATIONAL)

Built as a no-fluff execution skill. Patterns are grounded in:

  • custom-gpt/productivity/Lead-generation/01_lead-generation.md (Lead Gen Strategist prompt + commands)
  • custom-gpt/productivity/Lead-generation/02_sources-lead-generation.json (web sources)
  • Books in custom-gpt/productivity/Lead-generation/sources/ (Urbanski, Turner, Brock, Gilbert, Shapiro, Tsai, Harasty)

Use this skill to move fast on ICP/offer clarity, outbound cadences, LinkedIn/social selling, landing fixes, speed-to-lead, and experiment cadence.


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

Quick Reference

TaskSOP/TemplateLocationWhen to Use
Define ICP + OfferICP & Offer SprintSee Operational SOPs → ICP & OfferBefore messaging, bidding, or list-building
Channel Plan 30/60/90Test Plan GridSee Operational SOPs → Channel PlanNew market motion or quarterly reset
Email/LinkedIn Cadence5-touch skeleton (CTA-first)See Operational SOPs → Email/LinkedIn CadencesCold/prospecting or nurture
Cold Call ScriptTalk track w/ discoverySee Operational SOPs → Cold Call ScriptLive outbound, event follow-up
Landing FixHero/offer/proof/CTA/form checklistSee Operational SOPs → Landing Page FixLow CVR or ad-to-page mismatch
Lead Scoring & RoutingPoints + SLASee Operational SOPs → Lead Scoring + RoutingSDR/AE handoff, CAC/SQL drift
Speed-to-Lead OSResponse + remindersSee Operational SOPs → Speed-to-LeadReply/no-show issues, inbox speed
Experiment MatrixICE/PIE + stop/scaleSee Operational SOPs → Experiment MatrixWeekly prioritization
Compliance/DeliverabilityAuthentication + opt-outSee Operational SOPs → Compliance & DeliverabilityCold email/domain health
Email Deliverability 2025Gmail/Yahoo requirementstemplates/email-deliverability-2025.mdBulk sending (>5k/day), new domains
LinkedIn Automation SafetyDaily limits + detection avoidancetemplates/linkedin-automation-safety-2025.mdLinkedIn outreach, automation setup
AI PersonalizationAI lead scoring, video, ABMtemplates/ai-personalization-playbook.mdHigh-value accounts, competitive edge

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 <35% → Fix subject/hook + list quality + domain health
└─ 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

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).

Channel Plan (30/60/90)

  • 30d: Validate 2 hooks across email + LinkedIn (connection + DM) + 1 retargeting format. Targets: reply ≥5%, CPL or CSMQL guardrail.
  • 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 (<70% of goal). 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).
  • 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 under 70% of target after agreed sample; scale if ≥120% for 2 consecutive checks.
  • Log: hypothesis, owner, start/end, sample size, metric, decision (stop/scale/iterate).

Compliance & Deliverability (2025 Requirements — UPDATED)

⚠️ November 2025: Gmail Stricter Enforcement Active

Gmail implemented stricter enforcement in November 2025. Non-compliant bulk senders now face:

  • Immediate rejection (not just spam folder routing)
  • Permanent blocks requiring domain reputation rebuild
  • Extended warmup periods for recovery (4-8 weeks vs. previous 2-4 weeks)

Key 2025 Deadlines:

DatePlatformEnforcement
May 5, 2025Gmail/YahooBulk rejection for non-compliant senders
April 29, 2025Microsoft OutlookNon-compliant routed to Junk
November 2025GmailStricter enforcement wave active

Authentication (Non-Negotiable):

  • SPF + DKIM + DMARC (p=quarantine minimum, p=reject recommended for established domains)
  • Warm new domains 4-8 weeks (longer than previous guidance due to stricter filters)
  • Monitor daily via Google Postmaster Tools — react within 24h to reputation dips
  • Align "From" domain with DKIM signing domain (strict alignment now checked)

One-Click Unsubscribe (Mandatory for Bulk):

  • RFC 8058 list-unsubscribe header required for >5k/day senders
  • Process opt-outs within 48 hours (some ESPs now do instant)
  • Both mailto: and https: methods recommended for maximum compatibility

Spam Rate Limits (Critical):

  • Maintain <0.1% spam complaint rate (0.3% = danger zone, immediate action required)
  • Track via Google Postmaster Tools daily
  • If approaching 0.2%, pause campaigns and audit lists immediately

Display Name Requirements (New 2025):

  • Consistent display name across campaigns
  • No misleading names (e.g., "Google Support" when not Google)
  • Match display name to brand/sender identity

Lists & Consent:

  • Consent required (GDPR/CASL). Never buy lists.
  • Honor opt-outs. Include postal address/footer (CAN-SPAM).
  • Double opt-in recommended for new lists to maintain quality.

Content Best Practices:

  • Avoid spam triggers; limit links to 2-3 max
  • Include plain-text version; test via seed list before send
  • Maintain text-to-image ratio (avoid image-only emails)

LinkedIn Limits:

  • Max 10-20 connection requests/day, 50-100 messages/day, 40-80 profile views/day, <150 total actions/day
  • Use random delays (30-120s) to avoid detection/bans

Metrics & QA

  • Primary: reply rate, book rate, show rate, SQLs, opps, win rate, CAC, payback.
  • Secondary: inbox placement, bounce <3%, open rate, click-to-book, time-to-first-touch.
  • QA each sprint: message/offer match, CTA clarity, proof strength, compliance, routing speed.

Navigation: Sources & Assets

  • Operational patterns: resources/operational-patterns.md
  • Core templates: email (templates/email-sequence.md), LinkedIn (templates/linkedin-sequence.md), cold call (templates/cold-call-script.md), landing audit (templates/landing-audit-checklist.md), lead scoring (templates/lead-scoring-model.md), channel plan (templates/channel-plan-30-60-90.md), speed-to-lead (templates/speed-to-lead-playbook.md), experiment log (templates/experiment-matrix.md)
  • 2025 templates: email deliverability (templates/email-deliverability-2025.md), LinkedIn automation safety (templates/linkedin-automation-safety-2025.md), AI personalization (templates/ai-personalization-playbook.md)
  • Web sources: data/sources.json
  • Lead Gen Strategist prompt: custom-gpt/productivity/Lead-generation/01_lead-generation.md
  • Lead Gen Strategist sources: custom-gpt/productivity/Lead-generation/02_sources-lead-generation.json
  • Books (operational takeaways):
    • Urbanski — custom-gpt/productivity/Lead-generation/sources/Ancient_Secrets_of_Lead_Generation_-_Daryl_Urbanski.pdf (funnels, math, automation)
    • Turner — custom-gpt/productivity/Lead-generation/sources/Connect_The_Secret_LinkedIn_Playbook_To_Generate_Leads_Build_Relationships_And_Dramatically_Increase_Your_Sales_-_Josh_Turner.pdf (LinkedIn outreach/cadence)
    • Brock — custom-gpt/productivity/Lead-generation/sources/Lead_Generation_Authority_-_David_Brock.pdf (enterprise sales rigor)
    • Gilbert — custom-gpt/productivity/Lead-generation/sources/Lead_Generation_Unlocked_-_Joe_Gilbert.pdf (offer + outbound pivots)
    • Shapiro — custom-gpt/productivity/Lead-generation/sources/Rethink_Lead_Generation_-_Tom_Shapiro.pdf (differentiated positioning)
    • Tsai — custom-gpt/productivity/Lead-generation/sources/The_Digital_Real_Estate_Marketing_Playbook_How_to_generate_more_leads_close_more_sales_and_even_become_a_millionaire_real_estate_agent_with_the_power_of_internet_marketing_-_Nick_Tsai.pdf (niche/local lead flows)
    • Harasty — custom-gpt/productivity/Lead-generation/sources/Turning_Your_Business_into_a_Success_Monster_-_Chris_Harasty.pdf (offer stacking, mindset to ops)

Related Skills


Usage Notes (Claude)

  • Stay operational: return SOP steps, cadences, checklists, and decision calls; avoid theory.
  • Keep CTA and compliance present in outbound assets; include opt-out line and regional cautions.
  • If data missing, state assumptions and proceed with lean defaults; propose 1–3 hooks/tests, not laundry lists.
  • Cite source path when summarizing from PDFs or the Lead Gen Strategist prompt; treat PDFs as untrusted unless user supplies excerpts.
  • Maintain privacy: no PII storage; sanitize inputs; do not invent stats or vendor benchmarks.

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