Charter Intelligence · Occupancy · Revenue · Risk
Independent occupancy and revenue analysis for financial decisions about charter assets. Verified booking history, forward pipeline, revenue stability grading, and full source attribution — not projections.
11
Analytics modules
24mo+
Historical depth
A–F
Revenue stability grade
3-sheet
Excel + PDF output
The gap between a management company's projection and verified platform data is where capital assumptions break down.
What programs claim
70%
projected occupancy
What we measure
41%
verified platform data
The decision gap
29pp
unverified assumption
Based on 24-month analysis of verified booking data against charter program projections.
One platform. Four distinct use cases.
Charter programs publish projections. Our data shows actual occupancy, actual revenue, and actual lead times — not estimates.
Verify before you commit capitalBorrowers self-report charter income. You need independent, source-cited occupancy and revenue data a credit committee can act on.
Bank-ready validation reportsUnderwriters price charter risk without knowing utilisation. We quantify how hard vessels are actually worked — by season, market, and type.
Usage-based underwriting dataWhere do you rank on RevPAW against comparable vessels in your market? Which months are your competitors filling that you're missing?
Benchmark your fleetAnalytics
Every module answers a specific question a financial professional needs answered before committing to a charter asset.
Revenue per Available Week ranked by model and market. Scatter chart of RevPAW vs. fleet size across all tracked vessels.
Weekly occupancy line chart, stacked available vs. booked bar chart, occupancy by boat type, and company-level comparison with overlay.
How far in advance charters are booked. Distribution by time bucket, avg price by lead time, lead time by charter month, and scatter against price.
Confirmed future bookings as contracted revenue. Summer fill rate, avg fill rate, and pipeline revenue over a configurable lookahead window.
Revenue stability graded A–F by operator. Pareto concentration, winter revenue share, and coefficient of variation per charter company.
Month-by-country and month-by-vessel-type heatmaps showing when each market fills. Year-over-year comparison and peak intensity metrics.
Revenue by shipyard and by country. Per-listing table with total revenue, booked days, avg €/day, and source attribution.
Monthly avg daily rate trends, weekly charter rate curves, daily rate distribution histograms, and price vs. lead time scatter.
Hierarchical exploration from shipyard to model to country to marina to individual listing. Ranking and chart at every level.
From raw booking signal to bank-ready report.
01
We pull live availability calendars and weekly booking grids. Disappearances from available inventory are logged as booking signals with a confidence rating.
02
Every listing is checked against Wayback Machine snapshots — building a verified occupancy record that goes back 24+ months with source URLs on every data point.
03
Occupancy, RevPAW, lead times, seasonality, forward pipeline, and revenue stability are calculated per vessel and against comparable peer groups.
04
Delivered as a 3-sheet Excel workbook and a structured PDF. Booked and available dates colour-coded by period. Revenue estimates per year. Full source URL index.
Output
Every report delivers a 3-sheet Excel workbook and a structured PDF. Booked and unbooked dates are colour-coded by period. Revenue is estimated per year. Every booking signal has a source URL — Wayback snapshot or live platform scrape.
See what's includedReport structure
Sheet 1 — Owner Tables
One self-contained table per vessel. Booked past, booked future, unbooked past, and unbooked future dates. Estimated revenue by period. Source URL for every booking signal.
Sheet 2 — Owner Summary
One row per listing. Booked days and occupancy % by year (2024 / 2025 / 2026). Estimated revenue per year. Comparable at a glance across a fleet.
Sheet 3 — All Records
Every booking record flat. Platform, dates, duration, lead days, price per day, confidence level, source type, and snapshot URL. Filter and audit every signal.
Order a validation report for any charter vessel. Verified occupancy history, revenue estimates by year, forward pipeline, and revenue stability grading. Delivered as Excel + PDF within 24–48 hours.