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marketing-demand-acquisition营销需求获取

Agent Skill

marketing-demand-acquisition 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:marketing-demand-acquisition(营销需求获取)
来源仓库:https://github.com/borghei/claude-skills
仓库路径:skills/marketing-demand-acquisition
安装命令:
npx skills add https://github.com/borghei/claude-skills --skill marketing-demand-acquisition
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

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skills.shnpx skills
npx skills add https://github.com/borghei/claude-skills --skill marketing-demand-acquisition

简介

marketing-demand-acquisition 为 Series A+ 初创公司提供混合 PLG/Sales-Led 获客模型。

  • 适用于国际扩张团队制定多通道投放与合作伙伴策略,可在指定宿主中使用。
  • 通过 npx skills add 从 GitHub 安装,具体 KPI 与工具链见仓库说明。
  • 安装前请确认权限范围与维护状态,注意是否涉及外部广告平台或数据分析接口。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Marketing Demand & Acquisition

Acquisition playbook for Series A+ startups scaling internationally (EU/US/Canada) with hybrid PLG/Sales-Led motion.

Table of Contents


Role Coverage

RoleFocus Areas
Demand Generation ManagerMulti-channel campaigns, pipeline generation
Paid Media MarketerPaid search/social/display optimization
SEO ManagerOrganic acquisition, technical SEO
Partnerships ManagerCo-marketing, channel partnerships

Core KPIs

Demand Gen: MQL/SQL volume, cost per opportunity, marketing-sourced pipeline $, MQL→SQL rate

Paid Media: CAC, ROAS, CPL, CPA, channel efficiency ratio

SEO: Organic sessions, non-brand traffic %, keyword rankings, technical health score

Partnerships: Partner-sourced pipeline $, partner CAC, co-marketing ROI


Demand Generation Framework

Funnel Stages

StageTacticsTarget
TOFUPaid social, display, content syndication, SEOBrand awareness, traffic
MOFUPaid search, retargeting, gated content, email nurtureMQLs, demo requests
BOFUBrand search, direct outreach, case studies, trialsSQLs, pipeline $

Campaign Planning Workflow

  1. Define objective, budget, duration, audience
  2. Select channels based on funnel stage
  3. Create campaign in HubSpot with proper UTM structure
  4. Configure lead scoring and assignment rules
  5. Launch with test budget, validate tracking
  6. Validation: UTM parameters appear in HubSpot contact records

UTM Structure

utm_source={channel}       // linkedin, google, meta
utm_medium={type}          // cpc, display, email
utm_campaign={campaign-id} // q1-2025-linkedin-enterprise
utm_content={variant}      // ad-a, email-1
utm_term={keyword}         // [paid search only]

Paid Media Channels

Channel Selection Matrix

ChannelBest ForCAC RangeSeries A Priority
LinkedIn AdsB2B, Enterprise, ABM$150-400High
Google SearchHigh-intent, BOFU$80-250High
Google DisplayRetargeting$50-150Medium
Meta AdsSMB, visual products$60-200Medium

LinkedIn Ads Setup

  1. Create campaign group for initiative
  2. Structure: Awareness → Consideration → Conversion campaigns
  3. Target: Director+, 50-5000 employees, relevant industries
  4. Start $50/day per campaign
  5. Scale 20% weekly if CAC < target
  6. Validation: LinkedIn Insight Tag firing on all pages

Google Ads Setup

  1. Prioritize: Brand → Competitor → Solution → Category keywords
  2. Structure ad groups with 5-10 tightly themed keywords
  3. Create 3 responsive search ads per ad group (15 headlines, 4 descriptions)
  4. Maintain negative keyword list (100+)
  5. Start Manual CPC, switch to Target CPA after 50+ conversions
  6. Validation: Conversion tracking firing, search terms reviewed weekly

Budget Allocation (Series A, $40k/month)

ChannelBudgetExpected SQLs
LinkedIn$15k10
Google Search$12k20
Google Display$5k5
Meta$5k8
Partnerships$3k5

See campaign-templates.md for detailed structures.


SEO Strategy

Technical Foundation Checklist

  • XML sitemap submitted to Search Console
  • Robots.txt configured correctly
  • HTTPS enabled
  • Page speed >90 mobile
  • Core Web Vitals passing
  • Structured data implemented
  • Canonical tags on all pages
  • Hreflang tags for international
  • Validation: Run Screaming Frog crawl, zero critical errors

Keyword Strategy

TierTypeVolumePriority
1High-intent BOFU100-1kFirst
2Solution-aware MOFU500-5kSecond
3Problem-aware TOFU1k-10kThird

On-Page Optimization

  1. URL: Include primary keyword, 3-5 words
  2. Title tag: Primary keyword + brand (60 chars)
  3. Meta description: CTA + value prop (155 chars)
  4. H1: Match search intent (one per page)
  5. Content: 2000-3000 words for comprehensive topics
  6. Internal links: 3-5 relevant pages
  7. Validation: Google Search Console shows page indexed, no errors

Link Building Priorities

  1. Digital PR (original research, industry reports)
  2. Guest posting (DA 40+ sites only)
  3. Partner co-marketing (complementary SaaS)
  4. Community engagement (Reddit, Quora)

Partnerships

Partnership Tiers

TierTypeEffortROI
1Strategic integrationsHighVery high
2Affiliate partnersMediumMedium-high
3Customer referralsLowMedium
4Marketplace listingsMediumLow-medium

Partnership Workflow

  1. Identify partners with overlapping ICP, no competition
  2. Outreach with specific integration/co-marketing proposal
  3. Define success metrics, revenue model, term
  4. Create co-branded assets and partner tracking
  5. Enable partner sales team with demo training
  6. Validation: Partner UTM tracking functional, leads routing correctly

Affiliate Program Setup

  1. Select platform (PartnerStack, Impact, Rewardful)
  2. Configure commission structure (20-30% recurring)
  3. Create affiliate enablement kit (assets, links, content)
  4. Recruit through outbound, inbound, events
  5. Validation: Test affiliate link tracks through to conversion

See international-playbooks.md for regional tactics.


Attribution

Model Selection

ModelUse Case
First-TouchAwareness campaigns
Last-TouchDirect response
W-Shaped (40-20-40)Hybrid PLG/Sales (recommended)

HubSpot Attribution Setup

  1. Navigate to Marketing → Reports → Attribution
  2. Select W-Shaped model for hybrid motion
  3. Define conversion event (deal created)
  4. Set 90-day lookback window
  5. Validation: Run report for past 90 days, all channels show data

Weekly Metrics Dashboard

MetricTarget
MQLsWeekly target
SQLsWeekly target
MQL→SQL Rate>15%
Blended CAC<$300
Pipeline Velocity<60 days

See attribution-guide.md for detailed setup.


Tools

scripts/

ScriptPurposeUsage
calculate_cac.pyCalculate blended and channel CACpython scripts/calculate_cac.py --spend 40000 --customers 50

HubSpot Integration

  • Campaign tracking with UTM parameters
  • Lead scoring and MQL/SQL workflows
  • Attribution reporting (multi-touch)
  • Partner lead routing

See hubspot-workflows.md for workflow templates.


References

FileContent
hubspot-workflows.mdLead scoring, nurture, assignment workflows
campaign-templates.mdLinkedIn, Google, Meta campaign structures
international-playbooks.mdEU, US, Canada market tactics
attribution-guide.mdMulti-touch attribution, dashboards, A/B testing

Channel Benchmarks (B2B SaaS Series A)

MetricLinkedInGoogle SearchSEOEmail
CTR0.4-0.9%2-5%1-3%15-25%
CVR1-3%3-7%2-5%2-5%
CAC$150-400$80-250$50-150$20-80
MQL→SQL10-20%15-25%12-22%8-15%

MQL→SQL Handoff

SQL Criteria

Required:
✅ Job title: Director+ or budget authority
✅ Company size: 50-5000 employees
✅ Budget: $10k+ annual
✅ Timeline: Buying within 90 days
✅ Engagement: Demo requested or high-intent action

SLA

HandoffTarget
SDR responds to MQL4 hours
AE books demo with SQL24 hours
First demo scheduled3 business days

Validation: Test lead through workflow, verify notifications and routing.

Proactive Triggers

  • Over-relying on one channel -- Single-channel dependency is a business risk. Diversify acquisition across 3+ channels.
  • No lead scoring -- Not all leads are equal. Route to revenue-operations for scoring setup.
  • CAC exceeding LTV -- Demand gen is unprofitable. Optimize or cut underperforming channels.
  • No nurture for non-ready leads -- 80% of leads aren't ready to buy. Nurture sequences convert them later.

Related Skills

  • campaign-analytics: For measuring demand gen effectiveness with attribution and ROI.
  • marketing-strategy-pmm: For positioning and GTM strategy that feeds demand gen campaigns.
  • social-media-analyzer: For analyzing social channel performance within demand gen mix.
  • revenue-operations: For pipeline analysis and forecast accuracy downstream of demand gen.

Troubleshooting

ProblemLikely CauseSolution
CAC exceeding LTV ratio (below 3:1)Over-spending on high-cost channels without sufficient conversion optimizationAudit channel-specific CAC against benchmarks. Cut or pause channels with CAC >$400 for B2B SaaS. Shift budget toward lower-CAC channels (SEO, email, organic social). A 3:1 LTV:CAC ratio is the minimum for sustainability; below 2:1 indicates immediate problems
LinkedIn Ads delivering low CTR (<0.4%)Audience too broad, creative fatigue, or wrong ad formatNarrow targeting to Director+ titles at 50-5,000 employee companies. Refresh creative every 2-3 weeks. Test Thought Leader Ads before scaling standard formats -- they deliver 10-20% CTR at premium CPMs, which frequently beats standard LinkedIn ads' 0.5-1% rates
Google Ads CPA rising above targetInsufficient conversion data for automated bidding, or keyword competition increasingStay on Manual CPC until you have 50+ conversions, then switch to Target CPA. Google Ads CPC increased 164% from 2019-2024. Expand negative keyword list (maintain 100+). Focus on long-tail, high-intent keywords to reduce competition
MQL-to-SQL conversion rate below 15%Lead scoring too loose, or MQL criteria not aligned with sales expectationsTighten MQL scoring criteria. Require minimum engagement score (demo request or equivalent high-intent action). Align with sales on SQL criteria: Director+ title, 50-5,000 employees, $10k+ budget, buying within 90 days
UTM parameters not appearing in HubSpot contact recordsTracking script not firing, form stripping UTM values, or redirect losing parametersVerify HubSpot tracking code is on all pages. Ensure forms pass hidden UTM fields. Test by clicking a UTM-tagged link and checking the contact record. Use server-side UTM capture if client-side tracking is blocked by privacy tools
Partner channel not generating pipelinePartner enablement insufficient, or wrong partner tier selectionEnsure partners have completed demo training and have access to co-branded assets. Focus on Tier 1 strategic integration partners (high effort, very high ROI) before scaling to Tier 2 affiliates. Set clear success metrics and revenue model before launch
Single-channel dependency riskOver 50% of pipeline from one channelDiversify acquisition across 3+ channels immediately. Recommended 2026 allocation: AI-enhanced paid search 28-33%, omnichannel social 22-28%, content + experience marketing 20-25%. No single channel should exceed 40% of total pipeline

Success Criteria

  • Blended CAC: Target <$300 for B2B SaaS Series A (2026 benchmark). Channel-specific targets: LinkedIn $150-400, Google Search $80-250, SEO/Organic $50-150, Email $20-80. Average B2B SaaS CAC reached $1,200 in 2026 for all segments; self-serve targets $100-500 while enterprise can reach $5,000+
  • CAC Payback Period: Achieve payback within 6-12 months (2026 median). Elite performers reach payback in under 80 days. Payback exceeding 18 months signals unsustainable unit economics
  • LTV:CAC Ratio: Maintain minimum 3:1 ratio. Below 2:1 requires immediate intervention. Top-quartile SaaS companies spend $1.10 or less to acquire $1 of new ARR; median spends $2 per $1 ARR
  • MQL-to-SQL Conversion: Target 15-25% for Google Search, 12-22% for SEO, 10-20% for LinkedIn, 8-15% for email. Overall blended target >15%
  • Pipeline Velocity: Close marketing-sourced deals within 60 days average. SDR response to MQL within 4 hours, AE demo booking within 24 hours, first demo within 3 business days
  • Channel Diversification: No single channel should represent more than 40% of pipeline. Maintain active campaigns across minimum 3 channels. LinkedIn generates highest quality B2B leads (40% of marketers cite it as most effective)
  • Marketing Budget Efficiency: SaaS companies under $10M ARR should spend 20-35% of revenue on marketing; $10-50M spend 18-25%; $50-100M spend 15-20%. For 2026, allocate 18-28% of revenue total with clear channel allocation ratios

Scope & Limitations

In Scope:

  • Multi-channel demand generation strategy for B2B SaaS (Series A+) with hybrid PLG/sales-led motion
  • Paid media channel selection, budget allocation, and CAC calculation (LinkedIn, Google Search, Google Display, Meta)
  • SEO strategy including technical foundation, keyword strategy, on-page optimization, and link building priorities
  • Partnership program planning (strategic integrations, affiliates, referrals, marketplace listings)
  • Attribution model selection (first-touch, last-touch, W-shaped) with HubSpot integration guidance
  • UTM structure standards and campaign tracking
  • MQL/SQL criteria definition and handoff SLA

Out of Scope:

  • Campaign creative design (ad copy, images, video production)
  • Platform-specific campaign management UI guidance (use LinkedIn Campaign Manager, Google Ads, Meta Ads Manager directly)
  • Product-led growth (PLG) product instrumentation (freemium flows, in-app upgrade prompts)
  • Sales process optimization beyond MQL-to-SQL handoff (see revenue-operations or sales-success skills)
  • Advanced predictive analytics or ML-based lead scoring
  • International regulatory compliance for advertising (GDPR consent, CCPA disclosures)
  • Brand marketing and awareness campaigns without direct pipeline attribution

Market Context (2026):

  • CAC is rising 40-60% since 2023 across B2B SaaS
  • Google Ads CPC increased 164% from 2019-2024; LinkedIn costs up 89%
  • Privacy regulations and cookie deprecation are reducing attribution accuracy
  • AI-enhanced bidding strategies (Google Performance Max, LinkedIn Maximize Conversions) are becoming standard

Integration Points

IntegrationPurposeHow to Connect
HubSpot CRMCampaign tracking, lead scoring, MQL/SQL workflows, attribution reportingCreate campaigns with UTM structure (utm_source={channel}, utm_medium={type}, utm_campaign={campaign-id}). Configure W-shaped (40-20-40) attribution model. Set 90-day lookback window. Validate with weekly metrics dashboard
Google AdsPaid search campaign managementStructure: Brand > Competitor > Solution > Category keywords. 3 responsive search ads per ad group (15 headlines, 4 descriptions). Start Manual CPC, switch to Target CPA after 50+ conversions. Weekly search term review
LinkedIn Campaign ManagerB2B paid social campaignsStructure: Awareness > Consideration > Conversion campaigns. Target Director+, 50-5,000 employees. Start $50/day per campaign. Scale 20% weekly if CAC < target. Verify LinkedIn Insight Tag on all pages. Test Thought Leader Ads for higher CTR
Google Search ConsoleSEO performance trackingMonitor indexing, Core Web Vitals, keyword positions. Target page speed >90 mobile. Submit XML sitemap. Track non-brand traffic percentage as key SEO health metric
campaign-analytics skillAttribution modeling and ROI calculationExport HubSpot journey data as JSON for attribution_analyzer.py. Use campaign_roi_calculator.py for cross-channel ROI comparison. Feed funnel data into funnel_analyzer.py for bottleneck detection
social-media-analyzer skillSocial channel performance within demand gen mixAnalyze paid social campaign performance with calculate_metrics.py. Compare social channel CAC against other acquisition channels
Partner Platforms (PartnerStack, Impact, Rewardful)Affiliate and partner program managementConfigure 20-30% recurring commission. Create affiliate enablement kit. Set up partner UTM tracking. Test affiliate link tracking through to conversion

Tool Reference

calculate_cac.py

Type: CLI script (runs with example data or edit inline)

Usage:

python calculate_cac.py

Note: This script uses hardcoded example data. To analyze your own data, edit the example_data list in the script with your channel-specific spend and customer counts.

Input Format (edit in script):

example_data = [
    {'channel': 'LinkedIn Ads', 'spend': 15000, 'customers': 10},
    {'channel': 'Google Search', 'spend': 12000, 'customers': 20},
    {'channel': 'SEO/Organic', 'spend': 5000, 'customers': 15},
    {'channel': 'Partnerships', 'spend': 3000, 'customers': 5},
]

Functions:

FunctionParametersReturns
calculate_cac()total_spend: float, customers_acquired: intBasic CAC as float. Returns 0.0 if customers is 0
calculate_channel_cac()channel_data: List[Dict] (each dict: channel, spend, customers)Dict with per-channel breakdown (spend, customers, cac) plus blended key with total_spend, total_customers, blended_cac
print_results()results: DictPrints formatted table to stdout with per-channel and blended CAC

Built-in Benchmarks (printed at end of output):

  • LinkedIn Ads: $150-$400
  • Google Search: $80-$250
  • SEO/Organic: $50-$150
  • Partnerships: $100-$300
  • Blended Target: <$300

2026 Context: These benchmarks reflect Series A B2B SaaS. Overall B2B SaaS CAC has risen to $1,200 average across all segments (up 40-60% since 2023). Self-serve models target $100-500; enterprise segments can exceed $5,000. The median SaaS company spends $2 to acquire $1 of new ARR.

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