Designed with hotel owners and managers in mind, it shows you quickly and clearly how much more money and time you could be saving by using RoomPriceGenie.
Make confident pricing decisions without switching tools. Revenue Intelligence brings RoomPriceGenie’s most actionable insights directly into your PMS.
Collaboration is at the heart of everything we do. We’re proud to be active members of leading industry associations that bring together hospitality professionals, foster innovation, and set standards that benefit the entire community.
Bio Hotel Kunstquartier is a 23-room, family-run hotel near Nuremberg Germany. With a focus on organic materials and sustainability, the 4-star hotel stands apart from other hotels in the area.
Germany
10 to 25 rooms
ZimmerSoftware
“We were able to integrate RoomPriceGenie into our operations very quickly and easily thanks to great usability and amazing online training.”
Alexander Hochstein
The Challenge
With many trade fairs in Nuremberg, there is a lot of fluctuation in hotel room prices in the area. Without revenue management experience in-house, it was difficult for staff to accurately set room rates and stay on top of the schedule of events in town. As a result, the hotel was often leaving money on the table with under-priced rooms.
The Trigger
When RoomPriceGenie reached out to Harry about its services, Harry realised that they could be saving valuable time and effort and driving more revenue through dynamic pricing, especially during peak periods.
The Solution
RoomPriceGenie was very easy and fast to integrate into the hotel’s operations due to the support and online coaching offered by RoomPriceGenie. Alexander adds, “We’re a family-run hotel and technology isn’t our forte but RoomPriceGenie felt like it was made just for us. There’s no doubt it has professional power but it’s really simple to use.”
The Result
Since using RoomPriceGenie, sales at Bio Hotel Kunstquartier have increased, largely because trade fairs are taken into account when to determine room rates. Alexander shares, “Thanks to leveraging dynamic pricing, we’re finally able to capitalize on the events in our area, without having to spend time manually watching the calendar and altering pricing. So we’re saving time and driving more revenue.”
See other Case Studies...
Coromandel Shelly Beach TOP 10 Holiday Park
New Zealand
"We've just had a record financial year—up around 30% in turnover! That's thanks to a few factors, but one of them is implementing RoomPriceGenie."
"It saves massive amounts of time each day and we’ve had excellent revenue results so far. We can honestly say it has saved 7-9 hours per week, allowing the system to do the work."
We and use cookies and other tracking technologies to improve your experience on our website. We may store and/or access information on a device and process personal data, such as your IP address and browsing data, for personalised advertising and content, advertising and content measurement, audience research and services development. Additionally, we may utilize precise geolocation data and identification through device scanning.
Please note that your consent will be valid across all our subdomains. You can change or withdraw your consent at any time by clicking the “Consent Preferences” button at the bottom of your screen. We respect your choices and are committed to providing you with a transparent and secure browsing experience.
Customize your consent preferences for Cookie Categories and advertising tracking preferences for Purposes & Features and Vendors below. You can give granular consent for each . Most vendors require explicit consent for personal data processing, while some rely on legitimate interest. However, you have the right to object to their use of legitimate interest.
These cookies are essential for the operation, security, and core functionality of the website and cannot be disabled. They are set in response to actions made by you, such as setting your privacy preferences, logging in, or filling in forms.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Cookie
Duration
Description
_calendly_session
21 days
Used by Calendly to enable scheduling functionality and maintain session state.
aka_debug
session
Used by Vimeo to ensure proper playback and debugging of embedded video content.
elementor
never
The website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time.
localTimeZone
session
Stores the user’s timezone to improve website functionality.
referrer_user_id
14 days
Used by Calendly to support scheduling and referral tracking functionality.
tf_respondent_cc
6 months
Used by Typeform to prevent duplicate responses and ensure proper form functionality.
trp_language
1 month
Translate-Press plugin sets this cookie to store the users chosen language for the next visit.
yt-remote-cast-available
session
The yt-remote-cast-available cookie is used to store the user's preferences regarding whether casting is available on their YouTube video player.
yt-remote-cast-installed
session
The yt-remote-cast-installed cookie is used to store the user's video player preferences using embedded YouTube video.
yt-remote-connected-devices
never
Stores user preferences for YouTube video playback across devices.
yt-remote-fast-check-period
session
The yt-remote-fast-check-period cookie is used by YouTube to store the user's video player preferences for embedded YouTube videos.
yt-remote-session-app
session
The yt-remote-session-app cookie is used by YouTube to store user preferences and information about the interface of the embedded YouTube video player.
yt-remote-session-name
session
The yt-remote-session-name cookie is used by YouTube to store the user's video player preferences using embedded YouTube video.
ytidb::LAST_RESULT_ENTRY_KEY
never
Used by YouTube to store user interaction preferences with embedded videos.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Cookie
Duration
Description
__hssc
1 hour
Used by HubSpot to track sessions and store session information.
__hssrc
session
Used by HubSpot to determine if the visitor has restarted their browser.
__hstc
6 months
Main cookie used by HubSpot to track visitors and collect analytics data.
_clck
1 year
Microsoft Clarity sets this cookie to retain the browser's Clarity User ID and settings exclusive to that website. This guarantees that actions taken during subsequent visits to the same website will be linked to the same user ID.
_clsk
1 day
Microsoft Clarity sets this cookie to store and consolidate a user's pageviews into a single session recording.
_ga
1 year 1 month 4 days 1 minute
Google Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors.
_ga_Z5PN21JNGK
1 year 1 month 4 days
Used by Google Analytics to persist session state and measure user engagement on the website.
_gid
1 day
Used by Google Analytics to distinguish users and track usage.
attribution_user_id
1 year
Used by Typeform to track form submissions and user interactions.
CLID
1 year
Used by Microsoft Clarity to track user interactions and generate analytics reports.
hubspotutk
6 months
Used by HubSpot to track visitor identity and form submissions.
MR
7 days
Used by Microsoft to collect information for analytics and improve services.
SM
session
Used by Microsoft Clarity to synchronize the user ID across domains.
vuid
1 year 1 month 4 days
Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos on the website.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Cookie
Duration
Description
__Secure-ROLLOUT_TOKEN
6 months
YouTube sets this cookie to manage feature rollout and experimentation. It helps Google control which new features or interface changes are shown to users as part of testing and staged rollouts, ensuring consistent experience for a given user during an experiment.
__Secure-YEC
6 months
Used by YouTube to store user preferences and support advertising and video playback.
__Secure-YNID
6 months
YouTube cookie used to protect user security and prevent fraud, especially during the login process.
_fbp
3 months
Facebook sets this cookie to store and track interactions.
_gcl_au
3 months
Used by Google Tag Manager to store and track advertising conversion information.
AnalyticsSyncHistory
1 month
Used by LinkedIn to store information about the timing of synchronization with advertising services.
ANONCHK
10 minutes
The ANONCHK cookie, set by Bing, is used to store a user's session ID and verify ads' clicks on the Bing search engine. The cookie helps in reporting and personalization as well.
bcookie
1 year
LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser IDs.
bscookie
1 year
Used by LinkedIn to track user interactions and support advertising services.
li_sugr
3 months
LinkedIn sets this cookie to collect user behaviour data to optimise the website and make advertisements on the website more relevant.
MUID
1 year 24 days
Bing sets this cookie to recognise unique web browsers visiting Microsoft sites. This cookie is used for advertising, site analytics, and other operations.
SRM_B
1 year 24 days
Used by Microsoft Advertising to track visitors and measure the effectiveness of advertising campaigns.
test_cookie
16 minutes
doubleclick.net sets this cookie to determine if the user's browser supports cookies.
UserMatchHistory
1 month
Used by LinkedIn to track users across websites and enable advertising and retargeting.
VISITOR_INFO1_LIVE
6 months
YouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface.
VISITOR_PRIVACY_METADATA
6 months
YouTube sets this cookie to store the user's cookie consent state for the current domain.
YSC
session
Youtube sets this cookie to track the views of embedded videos on Youtube pages.
yt-remote-device-id
never
YouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Most purposes explained in this notice rely on the storage or accessing of information from your device when you use an app or visit a website. For example, a vendor or publisher might need to store a cookie on your device during your first visit on a website, to be able to recognise your device during your next visits (by accessing this cookie each time).
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
If you read several articles about the best bike accessories to buy, this information could be used to create a profile about your interest in bike accessories. Such a profile may be used or improved later on, on the same or a different website or app to present you with advertising for a particular bike accessory brand. If you also look at a configurator for a vehicle on a luxury car manufacturer website, this information could be combined with your interest in bikes to refine your profile and make an assumption that you are interested in luxury cycling gear.
An apparel company wishes to promote its new line of high-end baby clothes. It gets in touch with an agency that has a network of clients with high income customers (such as high-end supermarkets) and asks the agency to create profiles of young parents or couples who can be assumed to be wealthy and to have a new child, so that these can later be used to present advertising within partner apps based on those profiles.
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
A profile created for personalised advertising in relation to a person having searched for bike accessories on a website can be used to present the relevant advertisement for bike accessories on a mobile app of another organisation.
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.
An advertising intermediary delivers ads from various advertisers to its network of partnering websites. It notices a large increase in clicks on ads relating to one advertiser, and uses data regarding the source of the clicks to determine that 80% of the clicks come from bots rather than humans.
Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.
Clicking on a link in an article might normally send you to another page or part of the article. To achieve this, 1°) your browser sends a request to a server linked to the website, 2°) the server answers back (“here is the article you asked for”), using technical information automatically included in the request sent by your device, to properly display the information / images that are part of the article you asked for. Technically, such exchange of information is necessary to deliver the content that appears on your screen.
The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.
When you visit a website and are offered a choice between consenting to the use of profiles for personalised advertising or not consenting, the choice you make is saved and made available to advertising providers, so that advertising presented to you respects that choice.
Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).
Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.
