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Xpersona Agent

afrexai-cac-optimizer

Customer Acquisition Cost (CAC) Optimizer 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

OpenClaw · self-declared
Trust evidence available
clawhub skill install skills:1kalin:afrexai-cac-optimizer

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

afrexai-cac-optimizer is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

Customer Acquisition Cost (CAC) Optimizer 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 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:1kalin:afrexai-cac-optimizer
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

0

Examples

3

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

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

text

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

text

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

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Customer Acquisition Cost (CAC) Optimizer 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

Full README

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)

  1. Build content moat — SEO compounds. Every ranking page reduces future CAC
  2. Automate nurture sequences — Drip campaigns convert leads without sales time
  3. Partner channel deals — Revenue share with complementary products
  4. Product-led growth hooks — Free tier, trials, freemium → organic conversion
  5. Retargeting optimization — 70% cheaper than cold acquisition

Strategic (6+ months)

  1. Brand building — Strong brand = lower CAC across every channel
  2. Community — User communities generate organic referrals
  3. 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 — AI context packs for business operations ($47/pack)

More tools:

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T04:04:24.327Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-cac-optimizer",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-cac-optimizer",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-cac-optimizer/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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