Use case - static rate competitiveness 

These case studies use real data and anonymised supplier names.

Price Shopper searches and then matches lead-in prices from multiple suppliers for the next 90 arrival dates. Matched lead-in prices are converted in to a KPI which we call ‘Meet Beat Ratio’ (or MBR). MBR is the ratio of prices that match or are lower than the competitor’s price. It approximates the market share that would be achieved with a customer.

For this example we first check city level Meet Beat Ratios for Singapore hotels and choose a hotel with a low Meet Beat Ratio.

The  average Meet Beat Ratio for the Peninsula Excelsior = 31% which indicates that it's competitiveness is consistently low over the next 90 days.

Hotel Price charts show that both main 3rd party suppliers are beating our price.

Supplier A

Supplier B

These price charts show that both of our main competitors (Suppliers A and B) are beating our Direct (static) price when it is available. The only dates where our price is lowest is when our 3rd party rate (from another supplier) beats A and B.

Using the City analysis, we can check our price differential.

The median price differential is 3.1% and could mean that our mark-ups are higher or we do not have rate parity.


  1. Static rates are frequently not returned for most dates. While this indicates that we are selling out of static allotments it also means that despite being beaten on price by Supplier A and B, we have strong demand from customers who are not supplied by them.
  2. Our prices are consistently beaten and there is a possibility that we do not have rate parity with Suppliers A and B.


  1. Request higher static allotments.
  2. Request dynamic rooms if connection to hotel's channel manager exists.
  3. Confirm with the hotel if we have static rate parity with Suppliers A and B.