Startup Metrics Framework
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Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
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| name | startup-metrics-framework |
|---|---|
| description | Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting. |
| version | 1.0.0 |
| 1 | --- |
| 2 | name: startup-metrics-framework |
| 3 | description: Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting. |
| 4 | version: 1.0.0 |
| 5 | ---A5 — No allowed-tools declared — no way to tell what this skill may touch |
| 6 | |
| 7 | # Startup Metrics Framework |
| 8 | |
| 9 | Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A. |
| 10 | |
| 11 | ## Overview |
| 12 | |
| 13 | Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence. |
| 14 | |
| 15 | ## Universal Startup Metrics |
| 16 | |
| 17 | ### Revenue Metrics |
| 18 | |
| 19 | **MRR (Monthly Recurring Revenue)** |
| 20 | |
| 21 | ``` |
| 22 | MRR = Σ (Active Subscriptions × Monthly Price) |
| 23 | ``` |
| 24 | |
| 25 | **ARR (Annual Recurring Revenue)** |
| 26 | |
| 27 | ``` |
| 28 | ARR = MRR × 12 |
| 29 | ``` |
| 30 | |
| 31 | **Growth Rate** |
| 32 | |
| 33 | ``` |
| 34 | MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR |
| 35 | YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR |
| 36 | ``` |
| 37 | |
| 38 | **Target Benchmarks:** |
| 39 | |
| 40 | - Seed stage: 15-20% MoM growth |
| 41 | - Series A: 10-15% MoM growth, 3-5x YoY |
| 42 | - Series B+: 100%+ YoY (Rule of 40) |
| 43 | |
| 44 | ### Unit Economics |
| 45 | |
| 46 | **CAC (Customer Acquisition Cost)** |
| 47 | |
| 48 | ``` |
| 49 | CAC = Total S&M Spend / New Customers Acquired |
| 50 | ``` |
| 51 | |
| 52 | Include: Sales salaries, marketing spend, tools, overhead |
| 53 | |
| 54 | **LTV (Lifetime Value)** |
| 55 | |
| 56 | ``` |
| 57 | LTV = ARPU × Gross Margin% × (1 / Churn Rate) |
| 58 | ``` |
| 59 | |
| 60 | Simplified: |
| 61 | |
| 62 | ``` |
| 63 | LTV = ARPU × Average Customer Lifetime × Gross Margin% |
| 64 | ``` |
| 65 | |
| 66 | **LTV:CAC Ratio** |
| 67 | |
| 68 | ``` |
| 69 | LTV:CAC = LTV / CAC |
| 70 | ``` |
| 71 | |
| 72 | **Benchmarks:** |
| 73 | |
| 74 | - LTV:CAC > 3.0 = Healthy |
| 75 | - LTV:CAC 1.0-3.0 = Needs improvement |
| 76 | - LTV:CAC < 1.0 = Unsustainable |
| 77 | |
| 78 | **CAC Payback Period** |
| 79 | |
| 80 | ``` |
| 81 | CAC Payback = CAC / (ARPU × Gross Margin%) |
| 82 | ``` |
| 83 | |
| 84 | **Benchmarks:** |
| 85 | |
| 86 | - < 12 months = Excellent |
| 87 | - 12-18 months = Good |
| 88 | - > 24 months = Concerning |
| 89 | |
| 90 | ### Cash Efficiency Metrics |
| 91 | |
| 92 | **Burn Rate** |
| 93 | |
| 94 | ``` |
| 95 | Monthly Burn = Monthly Revenue - Monthly Expenses |
| 96 | ``` |
| 97 | |
| 98 | Negative burn = losing money (typical early-stage) |
| 99 | |
| 100 | **Runway** |
| 101 | |
| 102 | ``` |
| 103 | Runway (months) = Cash Balance / Monthly Burn Rate |
| 104 | ``` |
| 105 | |
| 106 | **Target:** Always maintain 12-18 months runway |
| 107 | |
| 108 | **Burn Multiple** |
| 109 | |
| 110 | ``` |
| 111 | Burn Multiple = Net Burn / Net New ARR |
| 112 | ``` |
| 113 | |
| 114 | **Benchmarks:** |
| 115 | |
| 116 | - < 1.0 = Exceptional efficiency |
| 117 | - 1.0-1.5 = Good |
| 118 | - 1.5-2.0 = Acceptable |
| 119 | - > 2.0 = Inefficient |
| 120 | |
| 121 | Lower is better (spending less to generate ARR) |
| 122 | |
| 123 | ## SaaS Metrics |
| 124 | |
| 125 | ### Revenue Composition |
| 126 | |
| 127 | **New MRR** |
| 128 | New customers × ARPU |
| 129 | |
| 130 | **Expansion MRR** |
| 131 | Upsells and cross-sells from existing customers |
| 132 | |
| 133 | **Contraction MRR** |
| 134 | Downgrades from existing customers |
| 135 | |
| 136 | **Churned MRR** |
| 137 | Lost customers |
| 138 | |
| 139 | **Net New MRR Formula:** |
| 140 | |
| 141 | ``` |
| 142 | Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR |
| 143 | ``` |
| 144 | |
| 145 | ### Retention Metrics |
| 146 | |
| 147 | **Logo Retention** |
| 148 | |
| 149 | ``` |
| 150 | Logo Retention = (Customers End - New Customers) / Customers Start |
| 151 | ``` |
| 152 | |
| 153 | **Dollar Retention (NDR - Net Dollar Retention)** |
| 154 | |
| 155 | ``` |
| 156 | NDR = (ARR Start + Expansion - Contraction - Churn) / ARR Start |
| 157 | ``` |
| 158 | |
| 159 | **Benchmarks:** |
| 160 | |
| 161 | - NDR > 120% = Best-in-class |
| 162 | - NDR 100-120% = Good |
| 163 | - NDR < 100% = Needs work |
| 164 | |
| 165 | **Gross Retention** |
| 166 | |
| 167 | ``` |
| 168 | Gross Retention = (ARR Start - Churn - Contraction) / ARR Start |
| 169 | ``` |
| 170 | |
| 171 | **Benchmarks:** |
| 172 | |
| 173 | - > 90% = Excellent |
| 174 | - 85-90% = Good |
| 175 | - < 85% = Concerning |
| 176 | |
| 177 | ### SaaS-Specific Metrics |
| 178 | |
| 179 | **Magic Number** |
| 180 | |
| 181 | ``` |
| 182 | Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter) |
| 183 | ``` |
| 184 | |
| 185 | **Benchmarks:** |
| 186 | |
| 187 | - > 0.75 = Efficient, ready to scale |
| 188 | - 0.5-0.75 = Moderate efficiency |
| 189 | - < 0.5 = Inefficient, don't scale yet |
| 190 | |
| 191 | **Rule of 40** |
| 192 | |
| 193 | ``` |
| 194 | Rule of 40 = Revenue Growth Rate% + Profit Margin% |
| 195 | ``` |
| 196 | |
| 197 | **Benchmarks:** |
| 198 | |
| 199 | - > 40% = Excellent |
| 200 | - 20-40% = Acceptable |
| 201 | - < 20% = Needs improvement |
| 202 | |
| 203 | **Example:** |
| 204 | 50% growth + (10%) margin = 40% ✓ |
| 205 | |
| 206 | **Quick Ratio** |
| 207 | |
| 208 | ``` |
| 209 | Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR) |
| 210 | ``` |
| 211 | |
| 212 | **Benchmarks:** |
| 213 | |
| 214 | - > 4.0 = Healthy growth |
| 215 | - 2.0-4.0 = Moderate |
| 216 | - < 2.0 = Churn problem |
| 217 | |
| 218 | ## Marketplace Metrics |
| 219 | |
| 220 | ### GMV (Gross Merchandise Value) |
| 221 | |
| 222 | **Total Transaction Volume:** |
| 223 | |
| 224 | ``` |
| 225 | GMV = Σ (Transaction Value) |
| 226 | ``` |
| 227 | |
| 228 | **Growth Rate:** |
| 229 | |
| 230 | ``` |
| 231 | GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV |
| 232 | ``` |
| 233 | |
| 234 | **Target:** 20%+ MoM early-stage |
| 235 | |
| 236 | ### Take Rate |
| 237 | |
| 238 | ``` |
| 239 | Take Rate = Net Revenue / GMV |
| 240 | ``` |
| 241 | |
| 242 | **Typical Ranges:** |
| 243 | |
| 244 | - Payment processors: 2-3% |
| 245 | - E-commerce marketplaces: 10-20% |
| 246 | - Service marketplaces: 15-25% |
| 247 | - High-value B2B: 5-15% |
| 248 | |
| 249 | ### Marketplace Liquidity |
| 250 | |
| 251 | **Time to Transaction** |
| 252 | How long from listing to sale/match? |
| 253 | |
| 254 | **Fill Rate** |
| 255 | % of requests that result in transaction |
| 256 | |
| 257 | **Repeat Rate** |
| 258 | % of users who transact multiple times |
| 259 | |
| 260 | **Benchmarks:** |
| 261 | |
| 262 | - Fill rate > 80% = Strong liquidity |
| 263 | - Repeat rate > 60% = Strong retention |
| 264 | |
| 265 | ### Marketplace Balance |
| 266 | |
| 267 | **Supply/Demand Ratio:** |
| 268 | Track relative growth of supply and demand sides. |
| 269 | |
| 270 | **Warning Signs:** |
| 271 | |
| 272 | - Too much supply: Low fill rates, frustrated suppliers |
| 273 | - Too much demand: Long wait times, frustrated customers |
| 274 | |
| 275 | **Goal:** Balanced growth (1:1 ratio ideal, but varies by model) |
| 276 | |
| 277 | ## Consumer/Mobile Metrics |
| 278 | |
| 279 | ### Engagement Metrics |
| 280 | |
| 281 | **DAU (Daily Active Users)** |
| 282 | Unique users active each day |
| 283 | |
| 284 | **MAU (Monthly Active Users)** |
| 285 | Unique users active each month |
| 286 | |
| 287 | **DAU/MAU Ratio** |
| 288 | |
| 289 | ``` |
| 290 | DAU/MAU = DAU / MAU |
| 291 | ``` |
| 292 | |
| 293 | **Benchmarks:** |
| 294 | |
| 295 | - > 50% = Exceptional (daily habit) |
| 296 | - 20-50% = Good |
| 297 | - < 20% = Weak engagement |
| 298 | |
| 299 | **Session Frequency** |
| 300 | Average sessions per user per day/week |
| 301 | |
| 302 | **Session Duration** |
| 303 | Average time spent per session |
| 304 | |
| 305 | ### Retention Curves |
| 306 | |
| 307 | **Day 1 Retention:** % users who return next day |
| 308 | **Day 7 Retention:** % users active 7 days after signup |
| 309 | **Day 30 Retention:** % users active 30 days after signup |
| 310 | |
| 311 | **Benchmarks (Day 30):** |
| 312 | |
| 313 | - > 40% = Excellent |
| 314 | - 25-40% = Good |
| 315 | - < 25% = Weak |
| 316 | |
| 317 | **Retention Curve Shape:** |
| 318 | |
| 319 | - Flattening curve = good (users becoming habitual) |
| 320 | - Steep decline = poor product-market fit |
| 321 | |
| 322 | ### Viral Coefficient (K-Factor) |
| 323 | |
| 324 | ``` |
| 325 | K-Factor = Invites per User × Invite Conversion Rate |
| 326 | ``` |
| 327 | |
| 328 | **Example:** |
| 329 | 10 invites/user × 20% conversion = 2.0 K-factor |
| 330 | |
| 331 | **Benchmarks:** |
| 332 | |
| 333 | - K > 1.0 = Viral growth |
| 334 | - K = 0.5-1.0 = Strong referrals |
| 335 | - K < 0.5 = Weak virality |
| 336 | |
| 337 | ## B2B Metrics |
| 338 | |
| 339 | ### Sales Efficiency |
| 340 | |
| 341 | **Win Rate** |
| 342 | |
| 343 | ``` |
| 344 | Win Rate = Deals Won / Total Opportunities |
| 345 | ``` |
| 346 | |
| 347 | **Target:** 20-30% for new sales team, 30-40% mature |
| 348 | |
| 349 | **Sales Cycle Length** |
| 350 | Average days from opportunity to close |
| 351 | |
| 352 | **Shorter is better:** |
| 353 | |
| 354 | - SMB: 30-60 days |
| 355 | - Mid-market: 60-120 days |
| 356 | - Enterprise: 120-270 days |
| 357 | |
| 358 | **Average Contract Value (ACV)** |
| 359 | |
| 360 | ``` |
| 361 | ACV = Total Contract Value / Contract Length (years) |
| 362 | ``` |
| 363 | |
| 364 | ### Pipeline Metrics |
| 365 | |
| 366 | **Pipeline Coverage** |
| 367 | |
| 368 | ``` |
| 369 | Pipeline Coverage = Total Pipeline Value / Quota |
| 370 | ``` |
| 371 | |
| 372 | **Target:** 3-5x coverage (3-5x pipeline needed to hit quota) |
| 373 | |
| 374 | **Conversion Rates by Stage:** |
| 375 | |
| 376 | - Lead → Opportunity: 10-20% |
| 377 | - Opportunity → Demo: 50-70% |
| 378 | - Demo → Proposal: 30-50% |
| 379 | - Proposal → Close: 20-40% |
| 380 | |
| 381 | ## Metrics by Stage |
| 382 | |
| 383 | ### Pre-Seed (Product-Market Fit) |
| 384 | |
| 385 | **Focus Metrics:** |
| 386 | |
| 387 | 1. Active users growth |
| 388 | 2. User retention (Day 7, Day 30) |
| 389 | 3. Core engagement (sessions, features used) |
| 390 | 4. Qualitative feedback (NPS, interviews) |
| 391 | |
| 392 | **Don't worry about:** |
| 393 | |
| 394 | - Revenue (may be zero) |
| 395 | - CAC (not optimizing yet) |
| 396 | - Unit economics |
| 397 | |
| 398 | ### Seed ($500K-$2M ARR) |
| 399 | |
| 400 | **Focus Metrics:** |
| 401 | |
| 402 | 1. MRR growth rate (15-20% MoM) |
| 403 | 2. CAC and LTV (establish baseline) |
| 404 | 3. Gross retention (> 85%) |
| 405 | 4. Core product engagement |
| 406 | |
| 407 | **Start tracking:** |
| 408 | |
| 409 | - Sales efficiency |
| 410 | - Burn rate and runway |
| 411 | |
| 412 | ### Series A ($2M-$10M ARR) |
| 413 | |
| 414 | **Focus Metrics:** |
| 415 | |
| 416 | 1. ARR growth (3-5x YoY) |
| 417 | 2. Unit economics (LTV:CAC > 3, payback < 18 months) |
| 418 | 3. Net dollar retention (> 100%) |
| 419 | 4. Burn multiple (< 2.0) |
| 420 | 5. Magic number (> 0.5) |
| 421 | |
| 422 | **Mature tracking:** |
| 423 | |
| 424 | - Rule of 40 |
| 425 | - Sales efficiency |
| 426 | - Pipeline coverage |
| 427 | |
| 428 | ## Metric Tracking Best Practices |
| 429 | |
| 430 | ### Data Infrastructure |
| 431 | |
| 432 | **Requirements:** |
| 433 | |
| 434 | - Single source of truth (analytics platform) |
| 435 | - Real-time or daily updates |
| 436 | - Automated calculations |
| 437 | - Historical tracking |
| 438 | |
| 439 | **Tools:** |
| 440 | |
| 441 | - Mixpanel, Amplitude (product analytics) |
| 442 | - ChartMogul, Baremetrics (SaaS metrics) |
| 443 | - Looker, Tableau (BI dashboards) |
| 444 | |
| 445 | ### Reporting Cadence |
| 446 | |
| 447 | **Daily:** |
| 448 | |
| 449 | - MRR, active users |
| 450 | - Sign-ups, conversions |
| 451 | |
| 452 | **Weekly:** |
| 453 | |
| 454 | - Growth rates |
| 455 | - Retention cohorts |
| 456 | - Sales pipeline |
| 457 | |
| 458 | **Monthly:** |
| 459 | |
| 460 | - Full metric suite |
| 461 | - Board reporting |
| 462 | - Investor updates |
| 463 | |
| 464 | **Quarterly:** |
| 465 | |
| 466 | - Trend analysis |
| 467 | - Benchmarking |
| 468 | - Strategy review |
| 469 | |
| 470 | ### Common Mistakes |
| 471 | |
| 472 | **Mistake 1: Vanity Metrics** |
| 473 | Don't focus on: |
| 474 | |
| 475 | - Total users (without retention) |
| 476 | - Page views (without engagement) |
| 477 | - Downloads (without activation) |
| 478 | |
| 479 | Focus on actionable metrics tied to value. |
| 480 | |
| 481 | **Mistake 2: Too Many Metrics** |
| 482 | Track 5-7 core metrics intensely, not 50 loosely. |
| 483 | |
| 484 | **Mistake 3: Ignoring Unit Economics** |
| 485 | CAC and LTV are critical even at seed stage. |
| 486 | |
| 487 | **Mistake 4: Not Segmenting** |
| 488 | Break down metrics by customer segment, channel, cohort. |
| 489 | |
| 490 | **Mistake 5: Gaming Metrics** |
| 491 | Optimize for real business outcomes, not dashboard numbers. |
| 492 | |
| 493 | ## Investor Metrics |
| 494 | |
| 495 | ### What VCs Want to See |
| 496 | |
| 497 | **Seed Round:** |
| 498 | |
| 499 | - MRR growth rate |
| 500 | - User retention |
| 501 | - Early unit economics |
| 502 | - Product engagement |
| 503 | |
| 504 | **Series A:** |
| 505 | |
| 506 | - ARR and growth rate |
| 507 | - CAC payback < 18 months |
| 508 | - LTV:CAC > 3.0 |
| 509 | - Net dollar retention > 100% |
| 510 | - Burn multiple < 2.0 |
| 511 | |
| 512 | **Series B+:** |
| 513 | |
| 514 | - Rule of 40 > 40% |
| 515 | - Efficient growth (magic number) |
| 516 | - Path to profitability |
| 517 | - Market leadership metrics |
| 518 | |
| 519 | ### Metric Presentation |
| 520 | |
| 521 | **Dashboard Format:** |
| 522 | |
| 523 | ``` |
| 524 | Current MRR: $250K (↑ 18% MoM) |
| 525 | ARR: $3.0M (↑ 280% YoY) |
| 526 | CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x |
| 527 | NDR: 112% | Logo Retention: 92% |
| 528 | Burn: $180K/mo | Runway: 18 months |
| 529 | ``` |
| 530 | |
| 531 | **Include:** |
| 532 | |
| 533 | - Current value |
| 534 | - Growth rate or trend |
| 535 | - Context (target, benchmark) |
| 536 | |
| 537 | |
| 538 | ## Quick Start |
| 539 | |
| 540 | To implement startup metrics framework: |
| 541 | |
| 542 | 1. **Identify business model** - SaaS, marketplace, consumer, B2B |
| 543 | 2. **Choose 5-7 core metrics** - Based on stage and model |
| 544 | 3. **Establish tracking** - Set up analytics and dashboards |
| 545 | 4. **Calculate unit economics** - CAC, LTV, payback |
| 546 | 5. **Set targets** - Use benchmarks for goals |
| 547 | 6. **Review regularly** - Weekly for core metrics |
| 548 | 7. **Share with team** - Align on goals and progress |
| 549 | 8. **Update investors** - Monthly/quarterly reporting |
| 550 |
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