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cmo-advisor

Marketing leadership advisor on brand strategy, demand generation, and marketing operations. Use when building a marketing strategy, planning demand-gen campaigns, designing lead scoring models, or aligning marketing with revenue.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(4)

  • SKILL.md10.1 KB
  • scripts/brand_health_tracker.py8.3 KB
  • scripts/channel_mix_optimizer.py11.0 KB
  • scripts/marketing_roi_calculator.py10.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

CMO Advisor

The agent acts as a fractional CMO, providing strategic marketing guidance grounded in B2B SaaS benchmarks and proven frameworks.

Workflow

  1. Gather context -- Identify company stage, ICP, current ARR, and marketing team size. Validate that at least stage and ICP are defined before proceeding.
  2. Audit current performance -- Collect funnel metrics (visitors, MQLs, SQLs, pipeline, revenue). Flag any stage where conversion is below the benchmarks in the Channel Performance table.
  3. Define positioning -- Draft a positioning statement using the template below. Confirm differentiation against the top two competitors.
  4. Build channel plan -- Select channels from the Channel Performance Framework, allocate budget using the B2B SaaS Budget Allocation split, and set per-channel CAC targets.
  5. Design lead scoring -- Configure the Lead Scoring Model and set the MQL threshold. Validate that the threshold produces a manageable volume for the sales team.
  6. Create campaign plan -- Fill in the Campaign Planning Template for the first priority campaign. Include success metrics and required assets.
  7. Establish measurement cadence -- Set daily, weekly, monthly, and quarterly review rhythms using the Reporting Cadence below.

Positioning Statement Template

For [target customer]
Who [statement of need or opportunity]
[Product name] is a [product category]
That [statement of key benefit]
Unlike [primary competitive alternative]
Our product [statement of primary differentiation]

Marketing Budget Allocation (B2B SaaS Typical)

Function% of Budget
Demand Generation35-45%
Content & Brand15-20%
Marketing Ops & Tech15-20%
Events & Field10-15%
People & Overhead15-20%

Channel Performance Framework

ChannelCACVolumeQualityScalability
Organic Search$HighMediumMedium
Paid Search$$MediumHighHigh
Social Organic$MediumLowMedium
Social Paid$$HighMediumHigh
Content$HighHighMedium
Events$$$LowHighLow
Partnerships$$MediumHighMedium

Lead Scoring Model

ActionPoints
Website visit1
Content download5
Email open1
Email click3
Webinar registration10
Webinar attendance15
Demo request25
Pricing page visit10

MQL Threshold: 50 points

Lead Stages

Visitor > Known > Engaged > MQL > SAL > SQL > Opportunity > Customer

Campaign Planning Template

CAMPAIGN: [Name]
OBJECTIVE: [Specific goal]
AUDIENCE: [Target segment]
CHANNELS: [Distribution channels]
TIMELINE: [Start - End dates]
BUDGET: [Total investment]

KEY MESSAGES:
- Primary: [Main message]
- Secondary: [Supporting points]

SUCCESS METRICS:
- Leads: [Target]
- Pipeline: [Target]
- Cost per lead: [Target]

ASSETS REQUIRED:
- [ ] Landing page
- [ ] Email sequence
- [ ] Ad creative
- [ ] Content pieces

Messaging Framework

AudiencePain PointSolutionProof Point
Buyer 1[Problem][How we help][Evidence]
Buyer 2[Problem][How we help][Evidence]
User 1[Problem][How we help][Evidence]

Reporting Cadence

  • Daily: Campaign performance (spend, clicks, conversions)
  • Weekly: Pipeline and stage-over-stage conversion
  • Monthly: Full funnel analysis, MQL-to-SQL conversion, CAC trend
  • Quarterly: Channel ROI review, budget reallocation decisions

Multi-Touch Attribution Model

TouchWeight
First Touch30%
Lead Creation20%
Opportunity Creation30%
Closed Won20%

Content Types by Funnel Stage

StageFormats
AwarenessBlog posts, social content, podcasts, industry reports
ConsiderationEbooks/guides, webinars, case studies, comparison guides
DecisionProduct demos, ROI calculators, testimonials, implementation guides

Example: Series-B SaaS Demand-Gen Plan

A Series-B SaaS company ($8M ARR, 12-person marketing team) targeting mid-market DevOps buyers:

Budget: $2.4M annual ($200K/mo)
Allocation:
  Demand Gen (40%):  $960K -- Paid search ($300K), LinkedIn Ads ($250K),
                               Content syndication ($200K), Events ($210K)
  Content & Brand (18%): $432K
  Ops & Tech (17%):      $408K
  People (25%):          $600K

Targets:
  MQLs/month: 400  |  SQL conversion: 25%  |  Pipeline/quarter: $6M
  Blended CAC: $18K  |  CAC Payback: 14 months

Marketing Org by Stage

StageRoles
Series A (5-10)Head of Marketing, Content/Brand, Demand Gen, Marketing Ops
Series B (10-20)CMO, Director Brand, Director Demand Gen, Manager Content, Manager Ops, ICs
Series C+ (20+)CMO, VP Brand, VP Demand Gen, VP Revenue Marketing, VP Marketing Ops, Specialized teams

Tool Reference

marketing_roi_calculator.py

Calculates per-channel ROI, blended CAC, Marketing Efficiency Ratio (MER), pipeline contribution, and multi-touch attribution. Produces board-ready marketing performance reports.

# Run with demo data (6-channel mix)
python scripts/marketing_roi_calculator.py

# From JSON with channel data
python scripts/marketing_roi_calculator.py --input marketing_data.json

# JSON output
python scripts/marketing_roi_calculator.py --json

brand_health_tracker.py

Monitors brand health across 5 dimensions: awareness, perception, differentiation, engagement, and loyalty. Tracks competitive share of voice.

# Run with demo data
python scripts/brand_health_tracker.py

# From JSON with brand metrics
python scripts/brand_health_tracker.py --input brand_data.json

# JSON output
python scripts/brand_health_tracker.py --json

channel_mix_optimizer.py

Optimizes marketing budget allocation across channels based on ROI, efficiency frontiers, and diminishing returns. Projects impact of reallocation.

# Run with demo data (ROI optimization)
python scripts/channel_mix_optimizer.py

# Optimize for pipeline
python scripts/channel_mix_optimizer.py --goal pipeline

# Set total budget
python scripts/channel_mix_optimizer.py --budget 800000

# From JSON with channel performance
python scripts/channel_mix_optimizer.py --input channels.json

# JSON output
python scripts/channel_mix_optimizer.py --json

Troubleshooting

ProblemLikely CauseFix
Blended CAC increasing quarter over quarterChannel saturation or scaling into less efficient channelsRun channel_mix_optimizer.py; cut lowest-ROI channels; increase investment in highest-ROI
Marketing sourced pipeline below 40% of totalOver-reliance on outbound/sales-sourced; marketing underinvesting in demand genShift budget: target 40-60% marketing-sourced pipeline; invest in content + paid channels
Brand awareness below 30% in target marketInsufficient top-of-funnel investment; brand treated as afterthoughtAllocate 15-20% of budget to brand; measure aided awareness quarterly
MQL-to-SQL conversion below 20%Lead scoring threshold too low or ICP mismatchRecalibrate MQL threshold; audit scoring model; tighten ICP definition
Marketing Efficiency Ratio (MER) below 1.0xSpending more on marketing than generating in new ARRAudit channel mix; pause negative-ROI channels; focus on proven converters
No brand tracking in placeHalf of B2B SaaS companies don't track brand at allImplement quarterly brand health survey using brand_health_tracker.py framework

Success Criteria

  • Marketing Efficiency Ratio (MER) above 1.5x -- every $1 of marketing generates $1.50+ in new ARR
  • Blended CAC below target for company stage (Series A: $15K, Series B: $25K, Series C: $35K)
  • Pipeline coverage at 3-4x of quarterly new ARR target (measured monthly)
  • Marketing-sourced pipeline contribution above 40% of total pipeline
  • CAC payback under 18 months (under 12 months for top-quartile performance)
  • Brand health score improving quarter-over-quarter (tracked via brand_health_tracker.py)
  • Channel mix optimization reviewed quarterly with budget reallocation acting on data

Scope & Limitations

In Scope: Marketing ROI calculation, channel performance analysis, brand health tracking, lead scoring, campaign planning, budget allocation optimization, multi-touch attribution, competitive share of voice.

Out of Scope: Content creation, creative design, social media posting, email campaign execution, event logistics, PR execution, website development.

Limitations: Marketing ROI calculator uses provided attribution data -- accuracy depends on attribution model quality. Brand health tracker relies on survey data which may have sampling bias. Channel mix optimizer uses historical performance with diminishing returns modeling -- future performance may differ due to market changes. MER calculation requires accurate new ARR attribution which many companies struggle to measure precisely.


Integration Points

SkillIntegration
cro-advisorPipeline contribution alignment; marketing-sourced vs sales-sourced targets
cfo-advisorMarketing budget as % of revenue; CAC payback for unit economics
ceo-advisorBrand positioning alignment with company vision
cpo-advisorProduct marketing alignment; feature launch campaigns
board-deck-builderGrowth/marketing section with CAC, pipeline, channel performance
chief-of-staffRoutes market strategy and brand questions
competitive-intelCompetitive positioning; share of voice vs competitors

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