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Customer Acquisition Cost (CAC) Optimizer

Analyze, benchmark, and reduce your customer acquisition cost across every channel.

3,556 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-cac-optimizer/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-cac-optimizer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-cac-optimizer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Customer Acquisition Cost (CAC) Optimizer Compares

Feature / AgentCustomer Acquisition Cost (CAC) OptimizerStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Analyze, benchmark, and reduce your customer acquisition cost across every channel.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Customer Acquisition Cost (CAC) Optimizer

Analyze, benchmark, and reduce your customer acquisition cost across every channel.

## What This Does
- Calculates true CAC (fully loaded — not just ad spend)
- Breaks down CAC by channel, segment, and cohort
- Benchmarks against industry standards
- Identifies the cheapest acquisition paths
- Models payback period and LTV:CAC ratio
- Generates a CAC reduction roadmap

## How to Use

Tell your agent:
- "Calculate our CAC for last quarter"
- "Break down acquisition cost by channel"
- "What's our LTV:CAC ratio?"
- "Build a plan to cut CAC by 30%"

## CAC Calculation Framework

### True CAC Formula (Fully Loaded)
```
CAC = (Sales Costs + Marketing Costs + Overhead Allocation) / New Customers Acquired

Include:
- Ad spend (paid search, social, display)
- Content production costs
- Sales team comp (base + commission + benefits)
- Marketing team comp
- Tools & software (CRM, analytics, ad platforms)
- Agency/contractor fees
- Event/sponsorship costs
- Allocated overhead (office, IT, management time)

Exclude:
- Customer success / retention costs (that's your retention CAC)
- Product development
- General admin not tied to acquisition
```

### CAC by Channel
| Channel | Typical B2B SaaS CAC | Typical B2C CAC | Payback Period |
|---------|---------------------|-----------------|----------------|
| Organic Search (SEO) | $200-$500 | $15-$50 | 6-12 months |
| Content Marketing | $300-$800 | $20-$80 | 8-14 months |
| Paid Search (Google) | $500-$2,000 | $30-$150 | 3-8 months |
| Paid Social (LinkedIn) | $800-$3,000 | $40-$200 | 4-10 months |
| Paid Social (Meta) | $300-$1,500 | $10-$80 | 2-6 months |
| Email / Nurture | $100-$400 | $5-$30 | 1-4 months |
| Referral Program | $150-$600 | $10-$50 | 1-3 months |
| Partner / Channel | $400-$1,200 | N/A | 3-6 months |
| Outbound Sales | $2,000-$8,000 | N/A | 6-18 months |
| Events / Conferences | $1,500-$5,000 | N/A | 6-12 months |

### Industry Benchmarks (2026)
| Industry | Median CAC | Good | Great | LTV:CAC Target |
|----------|-----------|------|-------|----------------|
| B2B SaaS (SMB) | $1,200 | <$800 | <$400 | 3:1+ |
| B2B SaaS (Mid-Market) | $5,500 | <$4,000 | <$2,500 | 3:1+ |
| B2B SaaS (Enterprise) | $15,000 | <$12,000 | <$8,000 | 5:1+ |
| Ecommerce (DTC) | $45 | <$30 | <$15 | 3:1+ |
| Fintech | $3,500 | <$2,500 | <$1,500 | 4:1+ |
| Healthcare SaaS | $6,000 | <$4,500 | <$3,000 | 4:1+ |
| Professional Services | $2,000 | <$1,500 | <$800 | 5:1+ |
| Construction Tech | $4,000 | <$3,000 | <$2,000 | 4:1+ |

### LTV:CAC Health Check
| Ratio | Status | Action |
|-------|--------|--------|
| <1:1 | 🔴 Burning cash | Stop spending. Fix product-market fit or pricing. |
| 1:1 - 2:1 | 🟡 Unsustainable | Optimize channels. Cut worst performers. |
| 3:1 | 🟢 Healthy | Standard target. Keep optimizing. |
| 4:1 - 5:1 | 🟢 Strong | Consider investing more in growth. |
| >5:1 | 🔵 Under-investing | You're leaving growth on the table. Spend more. |

### Payback Period
```
Payback Period (months) = CAC / (Monthly Revenue per Customer × Gross Margin %)

Target by stage:
- Seed/Series A: <18 months
- Series B+: <12 months  
- Profitable company: <6 months
```

## CAC Reduction Playbook

### Quick Wins (30 days)
1. **Kill underperforming channels** — Bottom 20% of channels by CAC efficiency → pause immediately
2. **Tighten ICP targeting** — Narrow ad audiences to best-fit segments (often cuts CAC 20-40%)
3. **Optimize landing pages** — A/B test headlines, CTAs, form length (10-30% conversion lift)
4. **Activate referral program** — Existing customers are your cheapest channel ($150-$600 vs $2K+ outbound)
5. **Fix lead scoring** — Sales time on bad leads = wasted CAC. Score ruthlessly.

### Medium-Term (90 days)
6. **Build content moat** — SEO compounds. Every ranking page reduces future CAC
7. **Automate nurture sequences** — Drip campaigns convert leads without sales time
8. **Partner channel deals** — Revenue share with complementary products
9. **Product-led growth hooks** — Free tier, trials, freemium → organic conversion
10. **Retargeting optimization** — 70% cheaper than cold acquisition

### Strategic (6+ months)
11. **Brand building** — Strong brand = lower CAC across every channel
12. **Community** — User communities generate organic referrals
13. **Product virality** — Built-in sharing, team invites, network effects

## Cohort Analysis Template
```
For each acquisition cohort (monthly):
- Cohort size (new customers)
- Total acquisition spend
- CAC per customer
- Month 1 revenue
- Month 3 cumulative revenue
- Month 6 cumulative revenue
- Month 12 cumulative revenue
- LTV at 12 months
- LTV:CAC at 12 months
- Payback month achieved (Y/N, which month)
- Retention rate at 12 months

Flag: Any cohort where LTV:CAC < 2:1 at 12 months
```

## Output Format
Present results as:
1. **CAC Summary** — Overall CAC, trend (up/down), LTV:CAC ratio
2. **Channel Breakdown** — Table ranked by efficiency (best CAC first)
3. **Benchmark Comparison** — How you stack up vs industry
4. **Top 3 Reduction Opportunities** — Specific, actionable, with estimated impact
5. **90-Day Roadmap** — Prioritized actions with expected CAC reduction %

---

*Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs for business operations ($47/pack)*

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- [Context Pack Store](https://afrexai-cto.github.io/context-packs/) — Industry-specific AI agent configs