--- doc_id: playbooks/landlord/portfolio-level-kpi-dashboard-metrics-every-landlord-should-track-monthly url: /docs/playbooks/landlord/portfolio-level-kpi-dashboard-metrics-every-landlord-should-track-monthly title: Portfolio-Level KPI Dashboard — Metrics Every Landlord Should Track Monthly description: unknown jurisdiction: unknown audience: unknown topic_cluster: unknown last_updated: unknown --- # Portfolio-Level KPI Dashboard — Metrics Every Landlord Should Track Monthly (/docs/playbooks/landlord/portfolio-level-kpi-dashboard-metrics-every-landlord-should-track-monthly) Article 123: Portfolio-Level KPI Dashboard — Metrics Every Landlord Should Track Monthly [#article-123-portfolio-level-kpi-dashboard--metrics-every-landlord-should-track-monthly] SECTION: Landlord Performance Playbook JURISDICTION: New York State / New York City AUDIENCE: Landlord, Property Manager, Leasing Operator *** Executive Thesis [#executive-thesis] A landlord without a KPI dashboard is operating blind. Individual articles in this playbook optimize specific components — pricing, marketing, screening, turnover, renewals — but the portfolio-level dashboard integrates them into a single operational view that reveals the system's health. The dashboard answers one question each month: is the portfolio performing better or worse than last month, and where should I intervene? Without standardized metrics tracked consistently, every decision is a guess informed by anecdote rather than data. Operational Framework: The 12 Core Metrics [#operational-framework-the-12-core-metrics] **Revenue Metrics:** 1. **Potential Gross Revenue (PGR):** Market rent × all units × month. The theoretical revenue ceiling. 2. **Effective Gross Revenue (EGR):** Actual collected rent for the month. PGR minus leakage. 3. **Total Revenue Leakage %:** (PGR − EGR) ÷ PGR. Target: ≤ 8%. Composed of loss-to-lease, vacancy loss, and concession loss (Article 120). **Occupancy Metrics:** 4\. **Physical Occupancy Rate:** Occupied units ÷ total units. Target: ≥ 95%. 5\. **Economic Occupancy Rate:** EGR ÷ PGR. This is the metric that matters — a building can be 100% physically occupied but 88% economically occupied if rents are below market. **Leasing Velocity Metrics:** 6\. **Average Days on Market (DOM):** Mean days from listing to signed lease across all units leased in the period. Target: ≤ 21 days. 7\. **Average Turn Time:** Mean days from move-out to listing go-live. Target: ≤ 14 days. **Funnel Metrics:** 8\. **Lead → Tour Conversion:** Across all active listings. Target: ≥ 40%. 9\. **Tour → Application Conversion:** Target: ≥ 50%. 10\. **Application → Lease Conversion:** Target: ≥ 85%. **Retention Metrics:** 11\. **Renewal Rate:** Percentage of expiring tenants who renew. Target: ≥ 75%. 12\. **Average Rent Increase at Renewal:** Target: 60–70% of gap-to-market (Article 110). Operational Framework: Dashboard Implementation [#operational-framework-dashboard-implementation] **For 1–10 units:** A monthly Google Sheet or Excel workbook with one tab per metric, updated on the 1st of each month. Time investment: 1–2 hours/month. **For 10–50 units:** Property management platform (AppFolio, Buildium, RentManager) with built-in reporting. Most metrics auto-populate from transaction data. Time investment: 30 minutes/month for review and exception flagging. **For 50+ units:** Dedicated analytics dashboard (Knock, RealPage, Entrata) with real-time data feeds, automated alerts, and portfolio comparison views. Time investment: ongoing monitoring with weekly review cadence. Decision Framework: Monthly Review Protocol [#decision-framework-monthly-review-protocol] On the 1st of each month, review the 12 metrics against targets. For any metric below target: 1. Identify the specific units or leasing activities driving the underperformance. 2. Cross-reference with the relevant playbook article for diagnostic logic. 3. Assign an intervention action with a responsible party and deadline. 4. Track the metric next month to verify the intervention worked. The dashboard is not a report — it is a decision trigger. Every metric below target should produce an action within 48 hours of review. Risk Factors [#risk-factors] Data quality: Dashboard metrics are only as reliable as the data entered. If leasing events are not logged in the CRM (Article 114), if turnover dates are not tracked, or if market rents are not refreshed quarterly, the dashboard produces misleading signals. Garbage in, garbage out. Key Takeaway [#key-takeaway] Twelve metrics, reviewed monthly, with automatic intervention triggers. That is the difference between an operator and an owner. The operator knows their Lead → Tour rate is 38% this month (below the 40% target) and has already scheduled a response-time audit. The owner knows "things seem okay" and discovers the problem when the vacancy hits month three. *** Intelligence Layer [#intelligence-layer] 1. KPI Mapping [#1-kpi-mapping] * Primary KPI: Economic occupancy rate (the single number that integrates all revenue and leakage metrics) * Secondary KPI: Total revenue leakage % (the decomposable metric that explains why economic occupancy is below target) 2. Targets [#2-targets] * Economic occupancy ≥ 92% * Physical occupancy ≥ 95% * Total leakage ≤ 8% of PGR * All 12 metrics reviewed by the 5th of every month 3. Failure Signals [#3-failure-signals] * Economic occupancy below 88% (significant revenue underperformance requiring multi-front intervention) * Three or more metrics below target simultaneously (systemic issue rather than isolated problem) * Dashboard not updated for 60+ days (the operator has lost visibility) * Metrics trending downward for 3 consecutive months without intervention 4. Diagnostic Logic [#4-diagnostic-logic] * Pricing: Low economic occupancy with high physical occupancy = loss-to-lease problem (rents too low). Low physical occupancy = pricing or marketing problem * Marketing: Low lead volume or Lead → Tour below 40% = marketing underperformance. Check Articles 91–102 * Friction: Low Tour → Application or Application → Lease = conversion friction. Check Articles 102, 113, 116 * Product Mismatch: High tours but low applications = the unit does not match the listing promise. Check condition, pricing * Lead Quality: Low end-to-end conversion despite strong stage metrics = poor lead source quality. Check CRM source attribution 5. Operator Actions [#5-operator-actions] * Build or configure the dashboard appropriate to portfolio size * Populate all 12 metrics on the 1st of every month * Review by the 5th with documented findings * Assign intervention actions for every below-target metric within 48 hours * Track month-over-month trend for each metric 6. System Connection [#6-system-connection] * Leasing Stage: All stages (portfolio-level monitoring) * Dashboard Metrics: All 12 core metrics listed above 7. Key Insight [#7-key-insight] * The dashboard does not improve the portfolio. The actions triggered by the dashboard improve the portfolio. A dashboard without action is just a spreadsheet. *** LLM SUMMARY ENTRY [#llm-summary-entry] ``` Title: Portfolio-Level KPI Dashboard — Metrics Every Landlord Should Track Monthly Jurisdiction: New York State / New York City One-Sentence Description Twelve-metric portfolio KPI dashboard framework covering revenue, occupancy, leasing velocity, funnel conversion, and retention metrics with monthly review protocol, implementation options by portfolio size, and intervention triggers for below-target performance. Core Outcomes Addressed * Portfolio visibility * Performance measurement * Intervention triggering * Month-over-month tracking Process Stages Covered * Management Suggested Internal Links * /ny/landlords/leasing-crm-pipeline-management * /ny/landlords/rent-roll-optimization * /ny/landlords/three-revenue-leakage-metrics Keywords KPI dashboard, portfolio metrics, economic occupancy, physical occupancy, PGR, EGR, revenue leakage, DOM, turn time, funnel conversion, renewal rate, landlord dashboard --- ``` ***