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By the end of this guide, you will have analyzed route frequency and on-time performance, identified high-value and underperforming routes, and used route data to inform scheduling decisions.
The Operations module must be enabled for your workspace. You also need the appropriate operations permissions. Contact your workspace administrator if you cannot access these features.
You need any ops access role. Revenue data on routes requires accounting.read permission.
Open the Operations sidebar, click Analytics, then click the Route Profitability card on the landing page. Breadcrumb path: Ops > Analytics > Route Profitability The ranked list shows origin-destination pairs ordered by flight count for the selected period. Each row includes:
ColumnDescription
OriginDeparture airport (ICAO code).
DestinationArrival airport (ICAO code).
Trip CountNumber of trip legs flown on this route.
Total RevenueSum of revenue attributed to legs on this route.
Total CostsSum of costs for legs on this route.
Avg Block TimeAverage block time in hours for this city pair.
High-frequency routes are candidates for standardized trip templates, pre-negotiated FBO rates, and contract fuel agreements that reduce per-trip costs.

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On-time performance by route

The OTP chart shows on-time percentage for each route. On-time is defined as departing within 15 minutes of the scheduled departure time. Routes with consistently low OTP warrant investigation:
Potential causeInvestigation approach
ATC delays at originReview ATCSCC data for the departure airport.
FBO handling delaysCheck vendor scorecard data for the origin FBO.
Crew positioning issuesVerify crew base locations and positioning leg requirements.
Aircraft availabilityReview fleet health and maintenance schedules.
Weather patternsAnalyze seasonal weather data for the route corridor.

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Revenue per route

The revenue chart shows estimated revenue per city pair. Combine this with cost data to compute route-level profitability:
  • High revenue, low cost — premium routes to protect and market.
  • High revenue, high cost — investigate cost drivers (fuel, positioning, handling).
  • Low revenue, any cost — evaluate whether the route serves strategic positioning or relationship purposes.

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Route optimization checklist

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Step 1: Identify high-frequency, low-OTP routes
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Sort routes by trip count and filter for OTP below 80%. These routes have the most impact on operational reliability.
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Step 2: Analyze deadhead patterns
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Cross-reference with the Fleet Utilization deadhead ratio chart. Routes with high deadhead on the return leg are candidates for empty-leg marketing.
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Use the 1 Year date range to identify seasonal demand patterns. Pre-position aircraft at high-demand origin airports during peak seasons.
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Step 4: Negotiate FBO rates
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For routes with more than 10 trips per quarter, negotiate contract rates with destination FBOs to reduce handling costs.

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Pipeline analytics

The Pipeline sub-tab (Ops > Analytics > Pipeline) tracks the sales pipeline from quote to confirmed trip:
MetricWhat it measures
Quote volumeNumber of quotes issued in the period.
Conversion ratePercentage of quotes that become confirmed trips.
Revenue forecastProjected revenue from pending quotes.
Average deal sizeMean revenue per converted quote.
Use pipeline data to forecast revenue, identify sales bottlenecks, and allocate fleet capacity to meet projected demand.

Use Analytics Dashboard

Overview of all analytics capabilities.

Analyze Fleet Performance

Aircraft utilization and deadhead analysis that complements route data.

Use Charter Marketplace

Market empty legs identified through route analysis.

Analytics Metrics Reference

All available metrics, dimensions, and calculation methods.
Last modified on April 11, 2026