“Without robust analytics, we lacked the confidence and insights needed to be truly dynamic with our rate strategy. That often- meant setting rates too high during low-demand periods and turning away potential business or failing to respond quickly enough during high-demand windows—ultimately missing opportunities to maximize ADR and revenue potential,” shared Cleaver.

Improve Data Analysis: Pomeroy struggled to extract actionable insights from property data, limiting their ability to optimize segmentation and business mix. They needed advanced analytics to inform rate decisions and uncover revenue opportunities.

Adopt Dynamic Pricing: Without confidence in real-time data, the team often priced too high or too low, missing out on revenue. They sought a solution to dynamically respond to shifting demand and competitive pressures.

Automate Revenue Processes: Manual revenue management was time-consuming and error-prone. Automation was key to freeing staff from routine tasks, enabling them to focus on strategy and scale across more properties without increasing headcount.