LockTrip Cuts World Hotel Prices — Confirmed!

LockTrip.com (LOC Token) Official Blog
LockTrip
Published in
4 min readApr 3, 2018

We, at LockTrip are the first one to put the accommodation industry on the blockchain in order to provide hotels and home rentals booking without intermediaries with the promise that this will cut the global hotels’ price with up to -20% by the end of 2018.

Now that the alpha version of the marketplace has been launched with 100,000 hotels successfully integrated and available for booking, we conducted cross-comparative analysis in order to find out if our rates are as competitive as promised.

LOC token — A token worth buying for the purpose of spending on travel — a concept that has been validated and goes beyond the established crypto standards.

THE METHODOLOGY USED FOR THE PRICE COMPARISON

In an efficient spreadsheet we compared more than 800 hotels worldwide. They were divided into 3 groups (Asia, Europe and USA) of 15 top destinations each. An equal number of 5, 4 and 3-star hotels per city were included. The hotel’s cheapest room available on Booking.com (Today’s price), was chosen as a reference in order to make the study as unbiased as possible. The LockTrip’s price of this identical room was afterwards compared against both Agoda.com and Booking.com.

NOTE: The rates of the USA-based properties on LockTrip include the corresponding sales tax only and exclude additional surcharges like: Municipality fee, Property service charge, Tourism fee, Resort fee etc.

The evaluation report represents in % how much more expensive is Booking.com/ Agoda.com compared to LockTrip.com. The reason for this is because commission is added on top of the net booking price. This is why its percentage should be calculated based on the net booking price, and not based on the gross price including the commission itself (as that would dilute the commission percentage in the first place)

Additionally, there is an average calculation per each city and, correspondingly, per the region studied.

Click Here for the Spreadsheet with the full price comparison

FINDINGS

1. The inventory price varies by location

The analysis helped us verify that the promise has been delivered — we managed to significantly cut the retail accommodation prices throughout the world. The individual results have identified the GEO locations that we can improve as well as the ones which are far better than expected. The reason why some regions under-perform when compared to others is because of the distribution channels setup that we currently have as partnerships.

Asia underperforms when compared to other regions. For the full chart, please visit: https://docs.google.com/spreadsheets/d/1RHCewyG_xy8xjbKMQ4o-OIPcpzCtAjVAhGj6A_eptpc/edit#gid=0

This implies of a major opportunity to further improve the discounts for those regions, because we have a clear understanding of what kind of partners we need to “plug” into our current inventory supply in order to further improve our prices and make sure the performance of all regions is equally good.

Or in other words, now that we know e.g. Beijing is underperforming when compared to the average savings in other locations, we can assume that our current suppliers are not particularly strong in that region.

This is why we will specifically seek, assess and connect with partners that can provide us with inventory that is more competitive in pricing specifically for Beijing (and for any other cities that we need to improve).

The findings of this research are actually far more significant than most people would realize, since our current model validates the possibility to reach average discounts in excess of 20% as long as we can structure the proper partnership with the right distribution channels.

Europe has great savings across 100% of the locations we tracked. For full breakdown, please visit: https://docs.google.com/spreadsheets/d/1RHCewyG_xy8xjbKMQ4o-OIPcpzCtAjVAhGj6A_eptpc/edit#gid=0

This on its own will be an on-going process, where we will constantly seek, compare and connect with better suppliers to further increase the value of our accommodation pricing.

USA being the top performer among currently measured regions. For full breakdown, please visit: https://docs.google.com/spreadsheets/d/1RHCewyG_xy8xjbKMQ4o-OIPcpzCtAjVAhGj6A_eptpc/edit#gid=0

2. There are extreme discount deviations. There are locations with isolated cases of heavily discounted properties and others available on the lower deviation of the discount scale, with prices closer to the one of the OTAs.

For example, a 3* hotel in the central part of Paris is available on Booking.com for €75 and on LockTrip.com for €70.87. At the same time, alternative 3* hotel in the same location is 122.38% more expensive on Booking.com with announced rate of €128 compared to €57.56 on LockTrip.com. This means that:

  • For the “average joe” user, who is not really making a comparative analysis, he can expect an average saving in correspondence with our statistics
  • For the more advanced/bargain hunters, LockTrip.com can offer an even much higher opportunity to cut down travel expenses as they can identify deviations that would offer a much higher saving (up to 3 times less expensive when compared with other OTAs)

The reasons for such deviations can be numerous. However, whether a guest will save €4 or €70 per night is entirely a matter of careful and patient research of our inventory. So, the users shall not expect to find their accommodation on LockTrip at a fixed 20% lower rate than the traditional OTAs as this value is the average we are trying to achieve.

Here is the detailed view of the analysis. Have a look and let’s discuss it in our official Telegram channel. The entire team and founder will welcome and address all your questions.

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LockTrip.com (LOC Token) Official Blog
LockTrip

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