Easy to track parameters, including property and date filtering, allow to monitor the activity of all potential and existing customers and forecast realistic business levels, based on historical data.
Using the „lead in” time feature revenue managers can adapt their pricing policy to meet average rates and occupancy ratio.
Knowing the reasons why some offers do not convert into business, help to improve the sales strategy.
- An easy to understand Dashboard comparing current vs previous month results.
- Visually attractive charts and condensed tables.
- Possibility to export all data to xls file.
- Analytics of denied offers’ reasons.
- Hotel managers, who want to get clear overview of the proposal-based” segment
- Revenue managers willing to optimize the pricing for high volume group business.
- Sales & marketing executives to analyse the results and plan future activities.
How does it work:
- All data is automatically saved and presented in the Stats module
- Users can filter the data based on hotel and date selection.
- Revenue per customer is based on the values evaluated by the sales teams
- Pipeline shows already generated proposals, and approved offers.