Interactive Relationships Map
Explore how metrics connect and influence each other. Hover over nodes to see connections, click for details, and drag to rearrange.
View as table (accessible alternative)
| Metric | Category | Drives | Driven By |
|---|---|---|---|
| ARR | revenue | — | New MRR, Expansion MRR, Churned MRR |
| New MRR | revenue | ARR | Pipeline, Win Rate, CAC |
| Expansion MRR | revenue | ARR, NRR | Health Score, Expansion Rate, LTV |
| Churned MRR | revenue | ARR, NRR, GRR | Churn Rate, NPS |
| Pipeline | acquisition | New MRR | MQL Volume |
| Win Rate | acquisition | New MRR | Sales Execution |
| Health Score | retention | Expansion MRR | Product Adoption, Onboarding |
| Expansion Rate | retention | Expansion MRR | CSM Touch |
| Churn Rate | retention | Churned MRR, LTV | Support Quality, Onboarding |
| NPS | retention | Churned MRR | Product Quality, Product Adoption |
| MQL Volume | acquisition | Pipeline | — |
| Sales Execution | acquisition | Win Rate | — |
| Product Adoption | engagement | Health Score, NPS | Onboarding |
| CSM Touch | retention | Expansion Rate | — |
| Support Quality | operations | Churn Rate | — |
| Onboarding | retention | Churn Rate, Health Score, Product Adoption | — |
| Product Quality | operations | NPS | — |
| CAC | efficiency | New MRR | — |
| LTV | efficiency | Expansion MRR | Churn Rate |
| NRR | retention | — | Expansion MRR, Churned MRR |
| GRR | retention | — | Churned MRR |
Metric Relationships
How metrics connect and influence each other. This is the map.
The Core Model
Revenue is the outcome. Everything else drives it.
┌─────────────────┐
│ ARR │
│ (Outcome) │
└────────┬────────┘
│
┌──────────────────────────────┼──────────────────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ New MRR │ │ Expansion │ │ Churned │
│ │ │ MRR │ │ MRR │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
│ │ │
┌─────────┴─────────┐ ┌────────┴────────┐ ┌────────┴────────┐
│ │ │ │ │ │
▼ ▼ ▼ ▼ ▼ ▼
┌───────┐ ┌─────────┐ ┌──────┐ ┌─────────┐ ┌───────┐ ┌─────────┐
│Pipeline│ │Win Rate │ │Health│ │Expansion│ │ Churn │ │ NPS │
│ │ │ │ │Score │ │ Rate │ │ Rate │ │ │
└───┬───┘ └────┬────┘ └───┬──┘ └────┬────┘ └───┬───┘ └────┬────┘
│ │ │ │ │ │
▼ ▼ ▼ ▼ ▼ ▼
┌───────┐ ┌─────────┐ ┌──────────┐ ┌───────┐ ┌─────────┐ ┌─────────┐
│ MQL │ │ Sales │ │ Product │ │ CSM │ │ Support │ │ Product │
│Volume │ │Execution│ │ Adoption │ │ Touch │ │ Quality │ │ Quality │
└───────┘ └─────────┘ └──────────┘ └───────┘ └─────────┘ └─────────┘
Revenue Drivers
ARR Growth
What increases it:
- New MRR (acquisition)
- Expansion MRR (upsell/cross-sell)
What decreases it:
- Churned MRR (lost customers)
- Contraction MRR (downgrades)
Formula:
ARR Change = New MRR + Expansion MRR - Churned MRR - Contraction MRR
New MRR Drivers
New MRR = Deals Won × Average Deal Size
Deals Won = Pipeline × Win Rate
Pipeline = MQLs × MQL-to-SQL Rate × SQL-to-Opp Rate × ACV
MQLs = Leads × Lead-to-MQL Rate
Leads = Traffic × Conversion Rate
Levers:
| To Increase New MRR | Action |
|---|---|
| More deals | Increase MQLs (marketing) |
| Better conversion | Improve win rate (sales) |
| Bigger deals | Increase ACV (pricing, product) |
| Faster deals | Reduce sales cycle (process) |
Expansion MRR Drivers
Expansion MRR = Customers × Expansion Rate × Average Expansion Size
Levers:
| Driver | What Influences It |
|---|---|
| Expansion Rate | Product adoption, health score, CSM engagement |
| Expansion Size | Pricing tiers, usage growth, additional seats |
| Eligible customers | Contract structure, feature gating |
Key relationship: High product adoption → high health scores → higher expansion probability.
Churned MRR Drivers
Churned MRR = Customers × Churn Rate × Average Customer Value
Levers:
| Driver | What Influences It |
|---|---|
| Churn Rate | NPS, health score, support quality, product fit |
| Churn Timing | Contract length, renewal process, early warning |
Key relationships:
- Low NPS → higher churn (leading indicator by 3-6 months)
- Low health score → higher churn risk
- High support tickets → potential churn signal
- Poor onboarding → higher early churn
Efficiency Drivers
CAC (Customer Acquisition Cost)
CAC = Sales & Marketing Spend / New Customers
What increases CAC:
- Higher marketing spend without proportional lead increase
- Lower win rates
- Longer sales cycles
- More expensive channels
What decreases CAC:
- Better lead quality (higher conversion)
- More efficient channels
- Faster sales cycles
- Product-led growth
LTV (Lifetime Value)
LTV = ARPA × Gross Margin / Churn Rate
What increases LTV:
- Higher ARPA (pricing, upsell)
- Better margins (lower COGS)
- Lower churn (better retention)
Key relationship: LTV and CAC must be considered together. LTV:CAC > 3:1 indicates healthy unit economics.
CAC Payback
CAC Payback (months) = CAC / (ARPA × Gross Margin)
Influenced by:
- CAC (higher = longer payback)
- ARPA (higher = faster payback)
- Gross Margin (higher = faster payback)
Retention Chain
Onboarding Quality
│
▼
Product Adoption ────► Health Score ────► Renewal Probability
│ │ │
▼ ▼ ▼
Engagement NPS/CSAT NRR / GRR
│ │ │
└────────────────────┴─────────────────────┘
│
▼
Revenue Retention
Key relationships:
| If This Goes Down | These Follow |
|---|---|
| Onboarding completion | Product adoption, early churn |
| Product adoption | Health scores, expansion, NPS |
| Health scores | Renewal probability, churn |
| NPS | Churn (lagged 3-6 months) |
| Support CSAT | NPS, health score |
Leading vs Lagging Indicators
Leading Indicators (Early Warning)
These change first, before outcomes:
Note: Lead times are approximate ranges based on typical SaaS patterns. Actual lag varies by business model, sales cycle, and customer segment. Calibrate to your own data.
| Metric | What It Predicts | Typical Lead Time |
|---|---|---|
| Pipeline coverage | Revenue miss | 1-2 quarters |
| MQL volume | Future pipeline | 1-2 months |
| NPS trend | Churn | 3-6 months |
| Health score decline | Churn | 1-3 months |
| Support ticket spike | NPS decline, churn | 1-2 months |
| Product usage decline | Health decline, churn | 2-4 weeks |
| Onboarding completion | Early churn | 1-3 months |
Lagging Indicators (Outcomes)
These confirm what happened:
| Metric | What It Confirms |
|---|---|
| Revenue | Overall performance |
| Churn | Retention failure |
| Win rate | Sales effectiveness |
| NRR | Customer value growth |
Departmental Impact Map
If Revenue Is Down
Check in this order:
- New MRR down? → Sales problem
- Check pipeline, win rate, cycle time
- Expansion down? → CS/Product problem
- Check health scores, adoption, CSM coverage
- Churn up? → Retention problem
- Check NPS, support metrics, product issues
If Churn Is Up
Investigation path:
Churn Up
│
├── Check NPS trend
│ └── If declining → deeper customer satisfaction issue
│
├── Check support metrics
│ └── If tickets up / CSAT down → support or product quality
│
├── Check onboarding metrics
│ └── If completion down → onboarding process issue
│
├── Check product adoption
│ └── If declining → product-market fit or engagement
│
└── Check by segment/cohort
└── If concentrated → specific segment issue
If Pipeline Is Light
Investigation path:
Pipeline Light
│
├── Check MQL volume
│ └── If down → marketing funnel issue
│ ├── Check lead volume → awareness/traffic
│ └── Check conversion → content/targeting
│
├── Check SQL conversion
│ └── If down → lead quality or SDR effectiveness
│
├── Check ACV
│ └── If down → deal size/pricing issue
│
└── Check source mix
└── If channel shift → channel performance issue
The Full System
┌─────────────────────────────────────────────────────────────────────────────┐
│ BUSINESS HEALTH │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ACQUIRE ONBOARD ADOPT EXPAND RETAIN │
│ │
│ Traffic TTFV DAU/MAU Expansion GRR │
│ │ │ │ Rate NRR │
│ ▼ ▼ ▼ │ Churn │
│ Leads ─────► Onboarding ─────► Adoption ─────► Upsell │ │ │
│ │ Completion Health Score Cross-sell │ │
│ ▼ │ │ │ │ │
│ MQLs │ ▼ ▼ ▼ │
│ │ └────────► NPS ◄───────────────────┴────────────┘ │
│ ▼ │ │
│ SQLs │ │
│ │ ▼ │
│ ▼ ┌──────────────────────┐ │
│ Pipeline │ REVENUE │ │
│ │ │ ARR, MRR, Growth │ │
│ ▼ └──────────────────────┘ │
│ Closed Won ▲ │
│ │ │ │
│ └───────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
Every department’s metrics feed into this system. Understanding the connections is how you diagnose problems and identify opportunities.