Dynamic pricing depends on analyzing market trends, competitor prices, and external influences — but acquiring accurate, current data is a real obstacle for STR operators.
Handle missing and erroneous data
Data quality is paramount. Before fixing missing or erroneous values, you have to understand how the data behaves and identify the nature of the issues. Recognizing patterns in missing data lets you choose the right strategy to handle it, ensuring integrity and a solid foundation for analysis and modeling.
Pool the right data
Availability itself isn’t the primary obstacle — pooling relevant data from the available resources is the real challenge. Combining internet resources with domain expertise lets you assemble the comprehensive datasets that drive informed pricing decisions.
Validate with A/B testing
A/B testing and validation are how you measure model performance. Understanding how closely predicted results align with actual observed data lets you refine pricing strategies toward optimal outcomes.
Stay current
Assess your strategy regularly against KPIs like occupancy rate, RevPAR, and ADR, and keep your expertise current through publications, blogs, and industry news.