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SaaS Metrics Dashboard

by @samledger67-dotcom

SaaS metrics calculator and dashboard builder for subscription businesses. Compute MRR, ARR, churn rate, NRR/GRR, LTV, CAC, CAC payback period, magic number,...

Versionv1.0.0
Downloads443
Installs1
TERMINAL
clawhub install saas-metrics-dashboard

πŸ“– About This Skill


name: saas-metrics-dashboard description: > SaaS metrics calculator and dashboard builder for subscription businesses. Compute MRR, ARR, churn rate, NRR/GRR, LTV, CAC, CAC payback period, magic number, Rule of 40, quick ratio, and cohort retention. Accepts raw subscription data and outputs a structured metrics snapshot ready for investor reporting, board decks, or feeding into kpi-alert-system and startup-financial-model skills. Use when founders, CFOs, or analysts need a full SaaS health check, want to track metrics over time, or are preparing investor materials. NOT for: e-commerce or transactional businesses (no recurring revenue), real-time streaming data pipelines (use a dedicated BI tool), or QBO bookkeeping reconciliation (use qbo-automation). Not a replacement for a full data warehouse β€” designed for structured inputs and spot analysis. version: 1.0.0 author: PrecisionLedger tags: - saas - metrics - finance - startups - subscription - mrr - churn - ltv - investors

SaaS Metrics Dashboard Skill

Calculate every critical SaaS metric from raw subscription data and produce an investor-ready health snapshot. This skill guides Sam Ledger through computing MRR/ARR, churn, retention, unit economics (LTV/CAC), growth efficiency, and Rule of 40 scoring β€” then formats the output for board decks, investor updates, or feeding into kpi-alert-system threshold monitoring.


When to Use This Skill

Trigger phrases:

  • "What's our MRR / ARR?"
  • "Calculate churn rate for last quarter"
  • "Give me our LTV:CAC ratio"
  • "Build a SaaS metrics snapshot"
  • "Are we Rule of 40 compliant?"
  • "Show net revenue retention"
  • "Prepare metrics for the investor update"
  • "What's our quick ratio / magic number?"
  • "Track cohort retention"
  • Fits between:

  • startup-financial-model β€” feeds historical actuals into the 3-statement model
  • kpi-alert-system β€” outputs threshold-ready metric values for alert monitoring
  • investor-memo-generator β€” supplies the metrics section of investor memos
  • NOT for:

  • Businesses without recurring subscription revenue
  • Real-time live dashboards (needs a BI tool like Metabase/Looker)
  • Revenue recognition accounting (use revenue-recognition-agent)
  • QBO bookkeeping entries (use qbo-automation)

  • Core Metric Definitions

    Revenue Metrics

    | Metric | Formula | Benchmark | |--------|---------|-----------| | MRR | Sum of all monthly recurring charges | β€” | | ARR | MRR Γ— 12 | β€” | | New MRR | MRR from new customers this period | β€” | | Expansion MRR | Upsells + seat adds from existing customers | β€” | | Churned MRR | MRR lost from cancellations | β€” | | Contraction MRR | Downgrades from existing customers | β€” | | Net New MRR | New + Expansion βˆ’ Churned βˆ’ Contraction | Positive = growing |

    Retention Metrics

    | Metric | Formula | Benchmark | |--------|---------|-----------| | Logo Churn | Customers churned / Customers at start | <5%/yr for SMB, <2% enterprise | | Revenue Churn (GRR) | Churned+Contraction MRR / MRR at start | >80% GRR good | | Net Revenue Retention (NRR) | (Start MRR + Expansion βˆ’ Churn βˆ’ Contraction) / Start MRR | >110% excellent, >100% good | | Quick Ratio | (New + Expansion) / (Churned + Contraction) | >4 = excellent, >2 = healthy |

    Unit Economics

    | Metric | Formula | Benchmark | |--------|---------|-----------| | LTV | ARPU / Monthly Churn Rate | 3Γ— CAC minimum | | CAC | (S&M Spend) / New Customers | β€” | | LTV:CAC | LTV / CAC | >3:1 healthy, >5:1 strong | | CAC Payback | CAC / (ARPU Γ— Gross Margin%) | <12mo excellent, <18mo good | | Magic Number | Net New ARR / Prior Quarter S&M Spend | >1.5 = efficient |

    Growth Efficiency

    | Metric | Formula | Benchmark | |--------|---------|-----------| | MoM Growth | (MRR This Mo βˆ’ Prior Mo) / Prior Mo | Top decile: 15%+ early stage | | Rule of 40 | ARR Growth Rate % + FCF Margin % | β‰₯40 = healthy | | Burn Multiple | Net Burn / Net New ARR | <1 = excellent, <2 = good |


    Data Inputs Required

    Minimum viable inputs:

    Period: [month/quarter]
    MRR at start of period: $___
    New MRR: $___
    Expansion MRR: $___
    Churned MRR: $___
    Contraction MRR: $___
    New customers acquired: ___
    Customers churned: ___
    Total customers at start: ___
    S&M spend (period): $___
    Gross margin %: ___
    ARR growth rate (YoY %): ___
    FCF or operating cash flow: $___
    

    Optional (for deeper analysis):

    Cohort data (monthly signup + retention by cohort)
    Plan-level MRR breakdown
    Customer segment breakdown (SMB / Mid-Market / Enterprise)
    NPS or CSAT scores
    


    Computation Walkthrough

    Step 1: Validate Inputs

  • Confirm all required fields are present
  • Check: New MRR + Expansion βˆ’ Churn βˆ’ Contraction = Net New MRR
  • Flag negative MRR values or impossible churn rates (>100%)
  • Step 2: Calculate Revenue Metrics

    net_new_mrr = new_mrr + expansion_mrr - churned_mrr - contraction_mrr
    arr = (mrr_start + net_new_mrr) * 12
    

    Step 3: Retention Metrics

    logo_churn = customers_churned / customers_start
    grr = 1 - ((churned_mrr + contraction_mrr) / mrr_start)
    nrr = (mrr_start + expansion_mrr - churned_mrr - contraction_mrr) / mrr_start
    quick_ratio = (new_mrr + expansion_mrr) / (churned_mrr + contraction_mrr)
    

    Step 4: Unit Economics

    arpu = (mrr_start + net_new_mrr) / (customers_start + new_customers - customers_churned)
    ltv = arpu / (logo_churn / 12)  # annualized to monthly churn
    cac = sm_spend / new_customers
    ltv_cac = ltv / cac
    cac_payback_months = cac / (arpu * gross_margin)
    magic_number = (net_new_arr) / prior_sm_spend
    

    Step 5: Growth Efficiency

    rule_of_40 = arr_growth_pct + fcf_margin_pct
    burn_multiple = abs(net_burn) / net_new_arr  # only if burning cash
    

    Step 6: Score & Grade

    Apply benchmark thresholds and assign health grades:
  • 🟒 Green: At or above benchmark
  • 🟑 Yellow: Within 20% of benchmark
  • πŸ”΄ Red: Below benchmark threshold

  • Output Format

    Snapshot Output (Markdown/Structured)

    ═══════════════════════════════════════
      SAAS METRICS SNAPSHOT β€” [Period]
      Company: [Name] | As of: [Date]
    ═══════════════════════════════════════

    REVENUE MRR: $___,___ ARR: $___,___ Net New MRR: $___,___ (New: $X | Exp: $X | Churn: -$X) MoM Growth: X.X% [🟒/🟑/πŸ”΄]

    RETENTION NRR: XXX% [🟒/🟑/πŸ”΄] (benchmark: >110%) GRR: XX% [🟒/🟑/πŸ”΄] (benchmark: >80%) Logo Churn: X.X% [🟒/🟑/πŸ”΄] (benchmark: <5%/yr) Quick Ratio: X.X [🟒/🟑/πŸ”΄] (benchmark: >2)

    UNIT ECONOMICS LTV:CAC: X.Xx [🟒/🟑/πŸ”΄] (benchmark: >3:1) CAC Payback: XX mo [🟒/🟑/πŸ”΄] (benchmark: <18mo) Magic Number: X.X [🟒/🟑/πŸ”΄] (benchmark: >1.5)

    EFFICIENCY Rule of 40: XX [🟒/🟑/πŸ”΄] (benchmark: β‰₯40) Burn Multiple: X.X [🟒/🟑/πŸ”΄] (benchmark: <2)

    OVERALL HEALTH: 🟒 Strong / 🟑 Watch / πŸ”΄ At Risk TOP RISKS: [1-3 specific metrics to address]

    CSV/JSON Output (for kpi-alert-system)

    When feeding downstream systems, output as:
    {
      "period": "2026-Q1",
      "mrr": 125000,
      "arr": 1500000,
      "nrr": 118,
      "grr": 87,
      "logo_churn_annual": 4.2,
      "quick_ratio": 3.1,
      "ltv_cac": 4.5,
      "cac_payback_months": 11,
      "magic_number": 1.8,
      "rule_of_40": 52,
      "burn_multiple": 0.9
    }
    


    Cohort Retention Analysis

    When cohort data is available, build a retention table:

    Cohort  Mo1   Mo2   Mo3   Mo6   Mo12
    Jan-25  100%  89%   82%   74%   68%
    Feb-25  100%  91%   85%   77%   β€”
    Mar-25  100%  88%   81%   β€”     β€”
    

    Key outputs:

  • Average Day-30 retention (target: >85% for SMB, >90% enterprise)
  • 12-month retention (logo) β€” critical for LTV calculation
  • Revenue cohort retention (expansion often offsets logo churn)

  • Segment Benchmarks

    By Stage

    | Stage | ARR | NRR Target | Logo Churn | Rule of 40 | |-------|-----|-----------|------------|------------| | Pre-Seed | <$1M | >100% | <10% | N/A | | Seed | $1-5M | >105% | <8% | Growth-driven | | Series A | $5-20M | >110% | <5% | β‰₯20 | | Series B+ | $20M+ | >120% | <3% | β‰₯40 |

    By Customer Segment

    | Segment | NRR Target | Logo Churn | CAC Payback | |---------|-----------|------------|-------------| | SMB | >100% | <10%/yr | <6 months | | Mid-Market | >110% | <5%/yr | <12 months | | Enterprise | >120% | <2%/yr | <18 months |


    Integration with Other Skills

    β†’ startup-financial-model

    Pass current-period actuals as seed inputs for the 3-statement model:
  • Use NRR to project expansion revenue
  • Use logo churn to model customer count trajectory
  • CAC payback informs S&M budget efficiency
  • β†’ kpi-alert-system

    Register thresholds for automated alerts:
    NRR < 100%       β†’ CRITICAL alert (negative net expansion)
    Logo churn > 7%  β†’ WARNING alert (annualized)
    Quick ratio < 2  β†’ WARNING alert
    LTV:CAC < 3      β†’ WARNING alert
    Rule of 40 < 30  β†’ INFO alert
    

    β†’ investor-memo-generator

    Feed the snapshot JSON into the metrics section of investor memos. Include MoM/QoQ trends, not just point-in-time values.


    Examples

    Example 1: Quick Snapshot

    Input: "Our MRR is $125K. We added $18K new, $12K expansion, lost $8K churn, $3K contraction. 210 customers, lost 7. Spent $45K on S&M. 75% gross margin. YoY growth 85%. Burning $80K/mo."

    Output: Full snapshot with grades, flagging Rule of 40 and burn multiple.

    Example 2: Investor Prep

    Input: "Prepare Q1 2026 SaaS metrics for our Series A data room" Output: Formatted snapshot + cohort table + segment breakdown + narrative summary with investor framing.

    Example 3: Board Deck Metrics Slide

    Input: "Give me the 6 most important metrics for our board deck" Output: MRR/ARR, NRR, Logo Churn, LTV:CAC, CAC Payback, Rule of 40 β€” each with prior period comparison and trend indicator.


    Red Flags to Surface

    Always flag proactively:

  • NRR < 100% β€” losing more than you're gaining from existing customers
  • Quick Ratio < 1 β€” churn eating new growth
  • LTV:CAC < 2 β€” acquiring customers unprofitably
  • CAC Payback > 24 months β€” severe capital efficiency problem
  • Burn Multiple > 3 β€” burning too much per dollar of new ARR
  • Logo churn > 15%/yr β€” product-market fit concern

  • *Precision. Integrity. Results. β€” PrecisionLedger*

    πŸ’‘ Examples

    Example 1: Quick Snapshot

    Input: "Our MRR is $125K. We added $18K new, $12K expansion, lost $8K churn, $3K contraction. 210 customers, lost 7. Spent $45K on S&M. 75% gross margin. YoY growth 85%. Burning $80K/mo."

    Output: Full snapshot with grades, flagging Rule of 40 and burn multiple.

    Example 2: Investor Prep

    Input: "Prepare Q1 2026 SaaS metrics for our Series A data room" Output: Formatted snapshot + cohort table + segment breakdown + narrative summary with investor framing.

    Example 3: Board Deck Metrics Slide

    Input: "Give me the 6 most important metrics for our board deck" Output: MRR/ARR, NRR, Logo Churn, LTV:CAC, CAC Payback, Rule of 40 β€” each with prior period comparison and trend indicator.