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
• Core KPIs
• Demand Generation Framework
• Paid Media Channels
• SEO Strategy
• Partnerships
• Attribution
• Tools
• References

---

Role Coverage

Role	Focus Areas
Demand Generation Manager	Multi-channel campaigns, pipeline generation
Paid Media Marketer	Paid search/social/display optimization
SEO Manager	Organic acquisition, technical SEO
Partnerships Manager	Co-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

Stage	Tactics	Target
TOFU	Paid social, display, content syndication, SEO	Brand awareness, traffic
MOFU	Paid search, retargeting, gated content, email nurture	MQLs, demo requests
BOFU	Brand search, direct outreach, case studies, trials	SQLs, 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

Channel	Best For	CAC Range	Series A Priority
LinkedIn Ads	B2B, Enterprise, ABM	$150-400	High
Google Search	High-intent, BOFU	$80-250	High
Google Display	Retargeting	$50-150	Medium
Meta Ads	SMB, visual products	$60-200	Medium

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)

Channel	Budget	Expected SQLs
LinkedIn	$15k	10
Google Search	$12k	20
Google Display	$5k	5
Meta	$5k	8
Partnerships	$3k	5

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

Tier	Type	Volume	Priority
1	High-intent BOFU	100-1k	First
2	Solution-aware MOFU	500-5k	Second
3	Problem-aware TOFU	1k-10k	Third

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

Tier	Type	Effort	ROI
1	Strategic integrations	High	Very high
2	Affiliate partners	Medium	Medium-high
3	Customer referrals	Low	Medium
4	Marketplace listings	Medium	Low-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

Model	Use Case
First-Touch	Awareness campaigns
Last-Touch	Direct 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

Metric	Target
MQLs	Weekly target
SQLs	Weekly target
MQL→SQL Rate	>15%
Blended CAC	<$300
Pipeline Velocity	<60 days

See attribution-guide.md for detailed setup.

---

Tools

scripts/

Script	Purpose	Usage
calculate_cac.py	Calculate blended and channel CAC	python 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

File	Content
hubspot-workflows.md	Lead scoring, nurture, assignment workflows
campaign-templates.md	LinkedIn, Google, Meta campaign structures
international-playbooks.md	EU, US, Canada market tactics
attribution-guide.md	Multi-touch attribution, dashboards, A/B testing

---

Channel Benchmarks (B2B SaaS Series A)

Metric	LinkedIn	Google Search	SEO	Email
CTR	0.4-0.9%	2-5%	1-3%	15-25%
CVR	1-3%	3-7%	2-5%	2-5%
CAC	$150-400	$80-250	$50-150	$20-80
MQL→SQL	10-20%	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

Handoff	Target
SDR responds to MQL	4 hours
AE books demo with SQL	24 hours
First demo scheduled	3 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

Problem	Likely Cause	Solution
CAC exceeding LTV ratio (below 3:1)	Over-spending on high-cost channels without sufficient conversion optimization	Audit 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 format	Narrow 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 often earn higher engagement at premium CPMs; compare against your own standard-format baseline before scaling
Google Ads CPA rising above target	Insufficient conversion data for automated bidding, or keyword competition increasing	Stay on Manual CPC until you have 50+ conversions, then switch to Target CPA. Search CPCs in competitive B2B categories have trended upward for years, so budget for it. 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 expectations	Tighten 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 records	Tracking script not firing, form stripping UTM values, or redirect losing parameters	Verify 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 pipeline	Partner enablement insufficient, or wrong partner tier selection	Ensure 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 risk	Over 50% of pipeline from one channel	Diversify 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 (planning target). Channel-specific targets: LinkedIn $150-400, Google Search $80-250, SEO/Organic $50-150, Email $20-80. CAC varies widely by motion: self-serve runs far lower than enterprise, where it can reach the thousands of dollars
• CAC Payback Period: Achieve payback within 6-12 months. Payback exceeding 18 months signals unsustainable unit economics
• LTV:CAC Ratio: Maintain minimum 3:1 ratio. Below 2:1 requires immediate intervention. Also trend sales-and-marketing spend per $1 of new ARR quarter over quarter
• 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):

• B2B SaaS CAC is widely reported to have risen in recent years
• Paid search and paid social media costs have trended upward, so channel CAC targets need regular re-checking
• Privacy regulations, consent requirements, ad blockers, and browser tracking limits (Safari and Firefox block third-party cookies by default) are reducing attribution accuracy. Chrome did not deprecate third-party cookies — it kept user choice and is retiring most Privacy Sandbox APIs (as of September 2026, Privacy Sandbox update) — so plan around consent mode, server-side tagging, and conversion APIs (Meta CAPI, Google Enhanced Conversions), not a cookie cutoff date
• AI-enhanced bidding strategies (Google Performance Max, LinkedIn Maximize Conversions) are becoming standard

---

Integration Points

Integration	Purpose	How to Connect
HubSpot CRM	Campaign tracking, lead scoring, MQL/SQL workflows, attribution reporting	Create 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 Ads	Paid search campaign management	Structure: 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 Manager	B2B paid social campaigns	Structure: 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 Console	SEO performance tracking	Monitor 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 skill	Attribution modeling and ROI calculation	Export 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 skill	Social channel performance within demand gen mix	Analyze 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 management	Configure 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:

Function	Parameters	Returns
calculate_cac()	total_spend: float, customers_acquired: int	Basic 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: Dict	Prints 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. B2B SaaS CAC is widely reported to have risen in recent years and varies widely by motion: self-serve models run far lower than enterprise segments. Re-check the targets against your own trailing data each quarter.