Eight Reasons Hotel Rate Shopping Data Fails and How Improved Collection Enhances Pricing Accuracy
📈 Common errors in hotel rate shopping can mislead revenue decisions. Key issues include wrong competitive sets, mismatched products, infrequent sampling, and single-origin data. Mobile rates are often missed, and parity assumptions are flawed. To improve accuracy, use diverse collection methods, retain detailed records, and regularly review competitive sets. Accurate data prevents pricing mistakes, impacting revenue significantly, with potential losses of 5,475 euros per year per euro of rate discrepancy.
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