Backtesting Guide

Help & GuidesAnalytics & DataBacktesting Guide

Backtesting Guide

All Tiers

Validate your pricing strategies against historical PMS data. Upload a booking CSV, choose an optimization strategy and date range, apply a price adjustment, and compare actual versus optimized revenue, occupancy, and average price across the period.

Upload CSV

Historical PMS data

3 Strategies

L₂ / L₃ / LCPG

Price Slider

−30% to +30%

Results Panel

3 charts + KPIs

Backtesting compares what actually happened against what the optimizer would have done. It runs your historical bookings through the chosen LCO strategy over the selected date range and reports the revenue lift, occupancy gain, and per-day comparisons.

Required CSV columns

start_daylengthpriceshow_probbooking_channellead_timeday_of_weekcustomer_segmentis_vipis_ada

The CSV is uploaded and auto-parsed via the ExtractDataFromUploadedFile integration, which extracts bookings plus analysis_period_days and room_count for metrics calculation.

Backtest insights inform live pricing

Apply validated strategies in the Rate Recommendations engine.

Backtesting • Validate pricing against history • Valamontes, 2026