Imagine 2 hotel managers having the following discussion: Our hotel website is super cool, Google Analytics says we have tons of visitors daily, low Bounce Rate, thus it's our booking engine that doesn't get us enough direct reservations. and the other manager
We all agree (I guess) that Conversion Rate is the most important KPI to assess whether you have been performing well or not through your site and booking engine. Many hotels use Google Analytics or other tracking tools (Adobe Analytics, Piwik)
This is stating the obvious, most of us, sooner or later, thought about OTAs offering different hotel deals based on the user's location. But the thing is, either we accept the way it is, passively, or we try do to something, but before doing something, we first need to detect when this happens, so that we can go back to our Market/Account Manager of the OTAs who undercuts our rates with some real argument. And trust me, when you have proofs, they fly down :)
This is just the last example that recently happened to me with one of the hotel I follow and track data for, with RevANALYTICS.
This is definitely one of my favorite and most useful reports I worked on so far. Mostly, this report represents how the same information can provide different hints, by simply looking at it from different perspectives. And, therefore, it demonstrates how often our revenue actions might