Maksat
GBthe tool that I relied on is being… the tool that I relied on is being destroyed in front of my eyes. its no longer usable: 1. based on my experience and other professionals (London), model is no longer working. extreme seasons and weekend spikes are not being booked so their algo is stupid. 2. UI upgrades make the app unusable, especially the calendar Happy to reconsider the review if you revert the calendar UI
Juan Pablo Ceballos
MXGreat User and Business Experience We are working with our own PMS (RuralGest) to provide a tech and commercial solution to our partners in México. Due to our business core PriceLabs has been a great partner to be strongest creating better revenue strategies, our properties are connected to Airbnb, Booking, Expedia, Google & HostelWorld and our team is more than happy because we love the data and PriceLabs makes us our day a better work day. The results are tangible. And the most important, the support team is incredible!! Thanks Daniel Zammata for your commercial assistance.
Eilina
USWe absolutely love PriceLabs We absolutely love PriceLabs. It is simple and fun to use. We have tried other tools, but PriceLabs is the most realistic and accurate tool out there, even for markets outside of the US (something other tools are not fine-tuned enough for). The tool also offers the flexibility to handle more specialized items if needed. PriceLabs is one of the most fundamental investments for running a STR, and it has helped us secure the top spot in our market.
Chris Napierala
USGood tool for setting your pricing Good tool for setting your pricing. Unfortunately not all features are available depending on who you use for a PMS. For example, you cannot set discounts for varying lengths of stay which would be quite useful.
Andrea s
ITNo accuracy, will make you lose money The service lacks accuracy in the pricing suggested. The support ignores any feedback and bug reports. It seems that they know that the service sucks, but they don't care, they use marketing to find customers willing to pay this huge price without realizing that the price predictor uses some basic low-level algorithm. It has more probability to make you lose money than gain some.