Customer Acquisition skill

Customer Acquisition is an agent skill for AI coding assistants (Claude Code, OpenClaw, Cursor, Codex). CAC optimization, channel mix modeling, attribution analysis, and acquisition strategy for paid and organic channels. Install with: npx skills-ws install customer-acquisition.

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Customer Acquisition

Workflow

1. CAC Calculation

Blended CAC (company-level):

Blended CAC = (Total Sales + Marketing spend) / New customers acquired

Per-channel CAC (more actionable):

Channel CAC = Channel spend (ads + tools + headcount allocation) / Customers from that channel

Fully-loaded CAC (most accurate):

Fully-loaded CAC = (Ad spend + Sales salaries + Marketing salaries + Tools + Agency fees + Content production) / New customers

What to include:

IncludeDon't include
Ad spend (all platforms)Product development costs
Sales team compensation (base + commission)Customer success costs
Marketing team compensationInfrastructure/hosting
Marketing tools (HubSpot, analytics, etc.)General overhead (rent, legal)
Content production costs
Agency/contractor fees
Event/sponsorship costs

2. Channel Evaluation

Scoring matrix — rate each channel:

ChannelCACScalabilityTime to resultLTV of acquired customersTotal score
Organic search$50High6-12 monthsHigh
Paid search (Google)$150HighImmediateMedium
Paid social (Meta)$120High1-2 weeksMedium
LinkedIn ads$250Medium1-2 weeksHigh (B2B)
Content marketing$80High3-6 monthsHigh
Referral program$30Medium1-3 monthsVery high
Cold outreach$100Medium2-4 weeksHigh (if targeted)
Partnerships$60Low-Medium3-6 monthsHigh
Events/conferences$300Low1-3 monthsHigh
Product-led (viral)$10Very highVariesVaries

3. Attribution Models

ModelHow it worksBest forBias
First touch100% credit to first interactionUnderstanding discoveryOver-credits awareness channels
Last touch100% credit to last interactionUnderstanding conversionOver-credits bottom-funnel
LinearEqual credit to all touchpointsSimple multi-touchTreats all touches equally (unrealistic)
Time decayMore credit to recent touchpointsLong sales cyclesUnder-credits awareness
Position-based (U-shape)40% first, 40% last, 20% middleBalanced viewArbitrary weights
Data-drivenML-based, dynamic weightsLarge datasets (1000+ conversions)Black box

Recommendation: Run first-touch AND last-touch in parallel. Compare results. If they agree on a channel, you have high confidence. If they disagree, dig deeper into that channel.

4. LTV:CAC Analysis

Benchmarks by stage:

MetricSeed/EarlySeries ASeries B+
LTV:CAC ratio> 2:1> 3:1> 4:1
CAC payback< 18 months< 12 months< 8 months
CAC as % of first-year ACV< 100%< 80%< 60%

By segment:

SegmentTypical CACTypical LTVTarget LTV:CAC
Self-serve SMB$50-200$500-2,000> 5:1
Inside sales mid-market$500-2,000$5,000-30,000> 3:1
Enterprise field sales$5,000-50,000$50,000-500,000> 3:1

Payback period:

Payback (months) = CAC / (Monthly ARPU × Gross margin %)

5. Channel Saturation Signals

When to diversify (channel is saturating):

  • CAC increased >20% in 3 months with no strategy change
  • Impression share hitting ceiling (Google Ads > 90%)
  • Frequency > 3x on paid social (audience fatigue)
  • Organic traffic plateau despite continued investment
  • Diminishing returns on spend increase (2x budget ≠ 2x results)

Response:

  1. Optimize existing channel before abandoning
  2. Test new channel with 10-15% of budget
  3. Run for 60-90 days before evaluating
  4. Compare new channel CAC and LTV to established channels
  5. Scale if CAC is within 1.5x of best-performing channel

6. Budget Allocation Framework

Portfolio approach:

Category% of budgetPurpose
Proven channels60-70%Channels with known, acceptable CAC
Scaling channels20-25%Channels showing promise, increasing spend
Experimental10-15%New channels, testing hypotheses

Rebalance quarterly:

  • Move budget from declining-ROI channels to improving ones
  • Kill experiments that haven't shown promise in 90 days
  • Double down on channels where LTV:CAC is improving

7. Acquisition Dashboard

MetricCadenceView
Blended CACMonthlyTrend line, 6-month rolling
Channel CACMonthlyPer-channel bar chart
LTV:CAC by channelQuarterlyStacked comparison
Payback periodMonthlyTrend vs target
New customer count by sourceWeeklyStacked area chart
CAC efficiency (CAC / ARPU)MonthlyTrack improvement
Pipeline contribution by channelWeeklyMarketing → Sales attribution