Intro

All relevant KPIs are visible at a glance. You immediately see how your occupancy and revenue are developing. This saves time and enables quick, well-founded decisions.

Occupancy by Reference Date (SPIT Analysis)

A comprehensive overview of occupancy and revenue compared to the previous year – both by reference date and in absolute terms. The data can be displayed by days, weeks, and months, with filter options by sales channel, property group, individual units, and more. This way, you always have full control over your occupancy and can adjust prices, booking conditions, or your marketing strategy accordingly.

Pick Up

Pickup shows the current booking behavior for future periods. With filter options by sales channel, property group, or units, you can detect deviations early and react in time.

Occupancy

The occupancy rate shows how well your units are booked. Quickly compare individual units, property groups, or entire regions and identify performance differences. This allows you to pinpoint potential and derive targeted measures.

Occupancy by Time Development

The time development of occupancy shows you when bookings are made for a given period. This way you recognize typical booking patterns, early or late bookings, and can better understand repeat guest behavior.

Target Group Analysis

A central part of your revenue management is understanding your customers. With detailed information on origin, booking channel, lead time, length of stay, and guest structure, you can identify clear patterns. This helps you better estimate demand and fine-tune your strategy.

Best-Sellers and Low-Performers Analysis

This analysis shows which units are in high demand ("Best-Sellers") and which are booked less often ("Low-Performers"). You immediately see strengths and weaknesses in your portfolio and can adjust pricing, marketing, or conditions accordingly.

Gap Finder

The Gap Finder highlights available time slots immediately. This way you avoid missed revenue and can generate short-term bookings through targeted offers or pricing strategies.

Forecasting

The revenue forecast shows expected income by categories such as rent, ancillary costs, or cleaning. You instantly see the revenue you can expect in the coming months and can further narrow the data using filters.

RevPAR

RevPAR shows the average revenue per available unit. It is calculated by dividing total revenue by the number of available units. It can be increased by higher occupancy or higher prices.

Revenue vs Previous Year

The direct year-over-year comparison of revenue shows both absolute and reference-date-based values. All service categories such as rent, ancillary costs, cleaning, linen, and more are included.

Neighborhood Analysis

The neighborhood analysis compares units based on key revenue management KPIs within your portfolio. This way, you can identify performance differences, derive best practices, and improve performance. Additional insights such as Best-Sellers/Low-Performers or price differences over time help uncover further optimization potential.

Price History

The price history shows the development of your prices and booking pace over several years. All prices are stored permanently, which creates transparency and provides valuable insights for optimizing your strategy, especially with dynamic pricing.

Owner Reporting

The owner report consolidates all relevant KPIs per unit and owner – from occupancy to revenue. It can be downloaded directly as a PDF and is therefore ideal for owner meetings. This way results can be presented transparently and optimization opportunities for each unit can be developed together. It builds trust and provides a solid foundation for future decisions.