Posted in Tips and Ideas

On-Page SEO Tricks For A Hotel Website

The term “On-page SEO” usually applies to a set of practices you can use on your web page to improve its rankings and make it more visible in searches. Many years website owners believed that it’s enough to drop some high-volume keywords in the strategical places of a website (like the first paragraph of the tex, its title, and descriptions) – and you’re done.

But with the improvement of Google’s search algorithm, everything is not that straightforward. When you’re doing the on-page SEO for your hotel site, you should take some peculiarities into account that will help you to outrank your competitors in this niche.

Here is a set of on-page SEO recommendations for hotel website owners that help them to boost their rankings in search engines and drive more traffic and targeted customers to their sites.

Do keyword research

Finding the right keywords and phrases that people use in their search for a hotel online is essential for a website owner. Think of how people can search for your website, what phrases can they use? Remember, that people may not type your brand name into the search field (because they don’t know of you yet), so try to figure out their search phrases.

One of the best ways of brainstorming a bunch of good keywords is using Google Autocomplete feature. Just start typing the words like “hotel,” “rooms,” “accommodation” into the search and see what it offers to you. The hotel business is local-based, so you should pay attention to the keywords that include locations, like “hotels in barcelona,” “hotels near sagrada familia,” etc.

Then use your favorite keyword tools to check out those keywords metrics like:

  • search volume;
  • number of clicks;
  • estimated traffic.

Remembers, that high search volume doesn’t necessarily mean a high number of clicks. Since Google often shows the info about the hotel location and contacts in so-called “knowledge cards,” users may not need to click the links. And thus that results in a low number of clicks and thus low traffic to the website.

And no secret, that long-tail keywords should be your primary target. They may not have the high search volume, but they are less competitive, less difficult to rank for, and their combined traffic often beats that from short-tail keyword phrases.

Go for short informative URLs

Sometimes newbie hotel website owners don’t pay attention to the URL they are getting when creating a page. And in most cases, those automatically created pages look too long, messy and non-informative. According to a study, long URLs tend to rank lower in Google, than the short ones.

Thus, your URLs should look like this:

yourdomain.com/category

yourdomain.com/category/sub-category

In case you have hotels in several locations, include the location in your page title and put it in the URL as well. But don’t go crazy creating pages for all locations around the globe if you don’t have hotels there.

Include your target keyword into the URL. There is no evidence that keyword in the URL is a ranking factor, but if your page doesn’t have enough content on it (say, if it’s a gallery page that shows your accommodations), URL may be that signal that tells the search bot about it.

Anyways, short informative URLs clearly tell your users about your page, and they know what they will see there from the beginning.

Optimize the Meta-tags for your pages

Perfectly-written and optimized meta-titles and descriptions, as well as H1s,  are still relevant for hotel websites. You should have your target keyword in all these areas of the page. Don’t go for boring templated texts as you see below:

Your primary goal should be traffic that turns into the hotel bookings. But sometimes less important pages rank better than your primary ones, as you may notice from the second result on the screenshot above. As you may see, the page that describes popular landmark near the hotel ranks better for the keyword “hotel barcelona near sagrada familia.” It’s because the primary page for booking on this website has title and description that don’t match the search query:

It’s a common mistake for hotel owners. They create very thin-content pages that target extremely competitive keywords and then they don’t understand why those pages don’t get traffic from search.

To avoid such mistakes, optimize your meta-stuff:

  • Write in your primary keyword into your title, description, and H1;
  • Include your USP like “Free Wi-Fi” or “Best price”;
  • Add modifiers that encourage people to click, like “free,” “book,” “now,” etc.;
  • Do split-testing for titles and descriptions to find the best version.

Make sure that you have the only H1 tag on a page. Just put your target keyword to H1 and then your site’s title after a dash. If you’ve done your keyword research well, it should be enough to get a perfectly optimized H1 tag.

Write enticing page copy

Times of those traditional boilerplate-style descriptions of a hotel and its rooms have ended. Today you should write a compelling copy that entices users to book a room in your place immediately, without looking somewhere else.

Catchy on-page descriptions do a few good things to your site:

  • They include more long-tail keywords that help your site attract more traffic to it and rank higher on Google;
  • They help users to understand what they may expect to get from you.

Since Google’s algorithm can only “read” text content, it doesn’t matter how many lovely photos of your hotel and the accommodations you have on a page. It’s the text that tells search engine bots that the page is relevant to a user’s search query.

Write engaging details about your hotel in the descriptions. Tell users about nearby attractions and activities, describe the area where the hotel is located, the view from the windows, the additional facilities that users get in the rooms, etc. Add information about local foods and where your visitors can get them nearby.

Add Schema Markup to pages

Schema Markup is just some additional code that provides Google with more detail about your business and helps them to understand the existing data on your site better. With Schema Markup your hotel site looks more attractive in SERP what boosts the CTR up to 30% and helps you increase the number of leads and bookings.

Google uses the data you include in the Schema code to evaluate your pages and rank them. It can display various data from the pages like your rating, phone number, and address, photos, etc. You can follow Google’s Guidelines for local businesses to add various markup elements to your hotel Homepage, like the clickable phone number or various Action types that include the Reservation action. Don’t forget to implement Schema Markup for all your local landing pages, not just only the Homepage.

Adding Schema Markup is especially great for mobile SEO. Google tends to show the information for the mobile search queries in the form of cards, and the results that use the Schema Markup have more chance to be displayed first.

The devil’s in the detail

On-page SEO, in general, is similar for all websites. It is based on simple steps:

  • Find relevant keywords;
  • Use those keywords in the Meta-tags;
  • Optimize your URLs;
  • Create enticing page content;
  • Implement the Schema Markup

But as you can see, there are many peculiarities (like local keywords) that impact the on-page SEO activities for hotel websites. So pay close attention to those peculiarities you use, test often and always track your performance. Without proper tracking, you will have no idea whether your SEO efforts are translating into leads, traffic, and conversions. When you see that something doesn’t work for you – change it and never be afraid to experiment!

Do you want to know more details about app for hotels then please contact us in the comment section and get the answers of your questions.

Posted in Tips and Ideas

How To Build A Pricing Strategy For Your Independent Hotel

While everything looks smooth front of house, at the back end of the hotel, things are a little more complex. Regardless of the type of the hotel or the number of rooms at your property a good pricing strategy is necessary for success.

Having the right pricing strategy can set you apart from your competitors and prevent new businesses from entering a competitive marketplace. Of course, having the wrong pricing strategy can also ruin your own chances!

Having a pricing strategy that consistently works for your business is essential to increasing your market share.

In this post, we will guide you through all the steps to pricing success!

Forecasting methodology

You can’t just wake up in the morning and decide that today your double room will cost €100. Prior to this decision, you need to do some forecasting, to better understand where your guests are coming from; and also how much they are willing to pay!

Anticipating demand and performance is key to forecasting, giving hotel management the ability to make strategic decisions on pricing. Accurate forecasting should give a business a clear snapshot of how it will perform in the future and allow management to then make any adjustments necessary. Looking at industry trends and past performance can also assist in making decisions about pricing and promotions.

Whilst forecasting isn’t full proof, you can make pretty reasonable assumptions based on the time of week, day and economy.

Here are our tips to accurate forecasting;

  • Use Historical Data Refer to your PMS system for your historical data, it’s a good indicator of what’s next.
  • Monitor your Competitors Always have an eye on what’s happening in your local area. Has a similar hotel recently closed or relocated or has a competitor decided to renovate? These are all factors which could affect your market share. Not sure who the competition is? Read more here!
  • Consider Special Events and Holidays Working special events and holidays into your calendar is essential. Customers expect to see special offers and additional inclusions during seasonal events.
  • Market Trends Take a wider view and look at what’s happening within both the local and global economy. Pay attention to market trends within the hospitality industry and observe the arrival figures in your part of the world.

Establishing Rate Parity

What is rate parity?

At HotelMinder, when making a pricing strategy, the first thing we do is establish Rate Parity across all channels. We do that by maintaining consistent rates for the same product in all online distribution channels, based on the actual revenue you are getting from a booking – that means not counting the commission paid to OTAs.

For instance, an OTA reservation might be €100 but you are only getting €85 (assuming a 15% commission). The same reservation from your website will bring you €100 (but you will have to discount from that the cost of marketing and running your website).

For the consumer point of view, it’s beneficial if your room rates match across the web: it shows that you are dependable and helps build a relationship of trust that might eventually motivate him/her to book directly on your website.

Of course, paying OTA commission and charging the lowest rates possible can eat into your profit margins. Never fear, HotelMinder’s primary focus is to help you to increase direct bookings! Over the years we’ve practiced multiple techniques and strategies. Here are our top tips:

  • Have a responsive and clean website with an Integrated Booking Engine, making the booking process as easy as or even better than booking your room through Booking.com or Expedia.com.
    Read more about that here!
  • You might not be able to run campaigns and discounted offers, but you can definitely be unique. Agoda.com and HRS cannot offer free tours, a welcoming gift or free breakfast at your property, but you can!
  • You can lower your rates for specific audiences on Social Media. Engage directly with your guests with special offers on:
    • Facebook,
    • Twitter,
    • Instagram
    • …etc.

For more information about using Social Media efficiently, you can read our article: Getting started on Social Media – special hotels.

Customers segmentation

Different guests look for different things and are willing to pay different rates to get what they want. Therefore, by properly segmenting potential guests, you can be more efficient with marketing and distribution. You can then take a different approach when defining your pricing strategy!

Having in mind the different customer segments, we can then implement basic rates:

  • Best Available Rate (BAR) This is the lowest, non-restricted rate which guests can book. It’s available to all and can change from several times per day to per week.
  • Corporate and/ or Partners rates This is a restricted rate that has been set through an agreement between the provider and an entity such as a corporation. This rate is normally calculated based on the assumption that bookings will continue to generate repeat business.
  • Group rates A group rate is generally given to a large travel party who book a significant number of rooms during a specific period of time. In many cases, groups are given a discounted group rate by hotel operators.

As the channel connectivity grows and guest booking sources expand, we can look into more pricing options too.

Building your Pricing Strategy

While forecasting and segmentation are steps that must be done before you make the actual decision about your prices, there are other elements you should pay attention to:

Use Length of Stay (LOS) restrictions

This strategy revolves around adjusting pricing based on the length of the stay. When demand outweighs supply, it can be beneficial to implement a rule where guests are obligated to stay a minimum number of days.

For example, you already know that booking too many one-night stays on a popular night, such as a Saturday, means you’re forced to turn away more customers who want to book multiple night stays.
More importantly, you will end up having an empty hotel on Sunday because you are already booked out on Saturday and all potential multi-night bookers cannot stay at your property. In these cases, you should add a longer minimum stay policy, both to increase your occupancy and your revenue.

Alternatively, when demand is lower, you can potentially encourage guests to stay longer by offering them a lower rate if they stay for multiple days, or simply lower the minimum length of stay to one night only.

Improve your Cancellation Policy

Cancellation policies can also factor into a pricing strategy and help to increase revenue. Rates can be lowered on the agreement that there are no refunds in the event of cancellation. Alternatively, higher rates offer guests greater flexibility with cancellations.

Hotels in high demand can really benefit from no refund cancellations. By charging lower rates in exchange for foregoing a refund, busy hotels are able to sell the same room twice in event of cancellation.

Still have rooms to be sold? Here, you can implement some of the following strategies to reach 100% full occupancy:

Setup Discount Codes

One highly effective strategy to encourage future direct bookings is discount codes. Share discount codes with former guests or with guests via a third party booking channel to encourage future direct bookings.

Create and Offer Packages

Another great option to maximise revenue is creating packages. The room rate may actually be lower than the equivalent rate for the same room only, but this will be hidden inside of the package. Creating attractive packages can mean including local experiences, special meals and so on.

Plan last-minute offers

Last minute offers are usually given in the days prior to room availability ending. If your strategy is to gain 100% occupancy, last minute offers are a good idea.

Conclusion

As a busy independant hotel owner, it’s not always feasible to hire a fulll time Revenue Manager, yet neither is there enough time to forecast and plan in day-to-day strategy.

Hotel Minder works with small hotel owners to implement a simple, yet powerful pricing strategy, which consistently maintains above 90% occupancy, generates more revenue and increases direct bookings by up to 50% within the first year.

Do you want to know more details about best concierge app then please contact us in the comment section and get the answers of your questions.

Posted in Tips and Ideas

Building the Newest Generation of Yield and Pricing Tools in the Hotel Industry

Continuously rethinking revenue management, I have come to the point where I wanted to build a revenue management and pricing solution myself. One of the crucial elements was the recommended pricing. Together with two revenue management teams and technology specialists, we have established a significant list of elements that we wanted to incorporate when it comes down to how we decided on any price for any given day.

The list of elements keeps on expanding and it seems never ending, as we add new elements on a regular basis.

So, if you are thinking of adding new elements in the way you decide on your price strategy, here’s a bunch of ideas to play with.

Automated pricing, price recommendations, price hurdles. Dynamic pricing, market penetration pricing, price skimming, psychological pricing, optimal pricing, bundle or package pricing, promotional pricing, time sensitive pricing, geo-pricing. Sounds familiar? I have tried and tested them all, over and over again.

Since our aim is to build the most dynamic and bespoke yield management solution the hotel industry has seen, I came up with the following items which I believe are worthwhile to be incorporated in a pricing system;

Main data types to incorporate

I am a strong believer that incorporating the wrong data in a price decision is a business killer. Far too often I see too much dependency on how the competition behaves, whilst competitor behavior is rarely the cause of severe direct changes in demand. Hotels buildup demand from a variety of market segments, and the full business behavior should be considered when making pricing decisions. A good system will consider a large a mix of main ingredients in order to make a pricing decision such as:

  • On the books data
  • Pick-up or pace data
  • Average rate of pick-up
  • Public pricing behavior
  • Pricing of your direct competitors
  • Market segmentation

The last item is important to the extent that the influence of non-yieldable and semi-yieldable performance of market segments or channels influences pricing possibilities.

Analysis and decision logistics

Once you have gathered the right data to make decisions, a second logical step is to ensure that you apply the right analysis. Randomly looking for patterns in data might work, but demand builds up in similar ways based on seasonality, day of the week, market segments etc.

Hence a pricing analysis should:

  • Look for patterns that matter
  • Have algorithms that are built to understand trends
  • Allow for manual user overrides
  • Measure pricing behavior of similar days (of the week)
  • Allow linking of dates that are believed to show similar behavior (i.e. event dates)

Price grids

A price grid usually consist of different levels of pricing which are separated by hurdles. Pricing grids can work fantastic, but the challenge is that they often only respond to a number of rooms being sold for any specific day. Usually when a threshold is hit, prices move up a level.

When prices are only moved up, it is a one-directional action, assuming demand also goes up. Demand however can stagnate and decline. And a price grid should respond to that.
The price grid must also respond to other demand indicators than rooms sold, being: number of days prior to arrival, and overall demand for a property. In other words:

  • If demand goes up, prices can go up.
  • If demand goes down, the grid should allow for prices to move into a lower level again.
  • If the hurdle is too big, demand stagnates and we get closer to arrival date, the pricing should be readjusted.

Again, as I mentioned prior, pricing grids can work fantastic. Especially when properties recently started with revenue management or are hesitant to become more aggressive with pricing decisions (in a further future). A good pricing grid responds to sales in the very far future, and thus does not require a visual or hands on control of the next 12 months all the time.

Algorithms

To predict yield opportunities, a software uses scientific algorithms based on an extensive amount of data. Dates that require your attention are highlighted and indicate recommended actions to maximize revenue.

The algorithms focus on numerous elements that influence demand and pricing, like:

  • Pace of sales/ booking pace – or in other words, how fast am I selling compared to other similar dates
  • Business on the books patterns – or how many reservations did I have on the books for similar days, and at which rates
  • Pricing patterns – did I raise or lower rates in similar fashion for other similar dates, and did reservations come in with similar patterns?
  • Behavior of the property comp set – on average, is my comp set raising rates and lowering rates like your property, or are they indicating to have different demand levels?
  • Exception rules for standard deviation – meaning that information for i.e. certain similar dates, that fall outside of a range of similar behavior, do not get included as valid date for analysis. I.e. your pricing for the same day last week was 20 percent higher than this week, hence the data are not incorporated for recommendation.

Now, despite the complexity of most algorithms, the visual output and related pricing should be relatively easy to understand. Hence a (visual) aid should be available to comprehend algorithm output.

Many providers unfortunately completely hide the logic behind their algorithms, only creating more questions than answers.

AI (Artificial Intelligence)

Artificial Intelligence, or machine learning, is likely one of the hottest developments in data analysis. I yet need to find the machine learning solution that is applicable in a large extent to hotel pricing and which has a standalone basis. We have however incorporated machine learning as part of a larger scope of pricing recommendation logic. A pricing solution nowadays should incorporate artificial intelligence that distinguishes user patterns, user overrides and patterns that go beyond the logic of algorithms and complex calculations.

User insight

I have an adversity for systems that analyse things without allowing the user any insight in how a calculation and outcome are composed. These so-called magic boxes are full of overly complex formulas and unclear answers. I have faced too many solutions that will not uncover any of the methods or formulas on how they get to a price calculation. I am more for providing a user insight in how a pricing decision is composed by showing core data, and by showing the underlying logic of algorithms.

Multiple steps in pricing logic

  1. Gather reservations/ on the books data
  2. Have different price grid options
  3. Apply algorithms/ calculations
  4. Decide on a final price recommendation
  5. Allow the user to override recommendation
  6. Use AI to learn from the algorithms and user overrides, so this new knowledge can be added to step 4 to allow more fine tuned recommendations

User influence

Similar to user insight, users need to have an understanding on how the system can be influenced. Most users have personal thoughts on how pricing calculations should be made. I.e user number 1 wants to incorporate a bit more of benchmarking and a bit less on the books information. User 2 goes for more pick-up weight and artificial intelligence. Number 3 heavily relies on price grids and hurdle models. Hence personalization is crucial. A good solution will:

  • Allow users to influence algorithms based on personal knowledge and local knowledge
  • Allow users to give weights on elements that lead to pricing decisions

I.e. OTB and pick-up have significant weight in the decision process when coming to a new price. For example 75% of the decision is based on the patterns generated by these two elements, while benchmark information only adds a 10% weight to the pricing decision, or 25%, if the user desires that instead.

Level of detail of pricing recommendations and pricing decisions
Pricing systems may have different levels of detail when it comes down to recommending prices. Various levels of recommendations come to mind for the ideal solution. Such as that the system;

  • Recommends pricing decisions per segment/ channel
  • Allows for automation of pricing for specific periods of time and specific stay periods
  • Allows for pricing recommendations per room type supplement, or a fixed supplement setting
  • Understands length of stay pricing (and dynamically via artificial intelligence)
  • Assists with management of room supplement pricing and allows for monitoring of sales

UI (User interface) & opportunity identifier

Because pricing often is a result of the analysis of large quantities of data, it’s easy to drown in the data or to get lost in the black and white numbers.

Hence a pricing solution should have visual aids to understand trends in demand that influence pricing on a specific day or period.

In addition, pricing decisions are opportunities. Opportunities require action.

Hence an opportunity identifier, that points users into the direction of action, is a welcome part of a pricing solution.

The Final Word

Summarizing the above, I have been confronted with thousands of questions and challenges related to tools for pricing, yield and revenue management. Having done revenue management for this many years and having a career in the industry, I also came up with my own set of questions, and I have been digging and looking around for answers.

During my search for answers for the best pricing and revenue management tools out there, I have met with people that understand yield in detail, and with less experienced people that shared visions about pricing, often just as insightful.

And obviously, having a decent chunk of revenue management experience, and completely and utterly unable to keep my big mouth shut, I must admit, I have been critical of many theories and solutions.

Do you want to know more details about the Concierge app then please contact us in the comment section and get the answers of your questions.