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Cookie | Cookie type | Time of Expiry |
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save_grouper | Used to distinguish users for statistical purposes. | 1 month |
grouper_id | Used to distinguish users for statistical purposes. | 1 month |
all_skiers | Identifies whether all users in the booking are skiing or if someone is not. | 1 day |
user | Required to keep the user’s session active after logging in. | 1 day |
SkiID | Required to keep the user’s session active after logging in. | 1 day |
loguejat | Required to keep the user’s session active after logging in. | 1 day |
user_remember | Required to keep the user’s session active after logging in. | 1 day |
accept_cookies | Records whether the user has accepted the Esquiades cookie policy. | 3 months |
PHPSESSID | PHP session cookie that enables session variables to be stored on the web server. Essential for website functionality. | 1 day |
user-last-searches | Stores the user’s most recent searches. | 3 days |
Certain third parties, such as Google, may process personal data collected through cookies and similar technologies in order to personalize content and advertising. For more details on how Google uses data, please visit their Business Data Responsibility page.
Provider | Cookie | Cookie type | Use it | Expiration |
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1P_JAR | Advertising cookie containing a unique randomly generated value to distinguish browsers and devices. Used to measure ad performance and provide product recommendations based on statistical data. | Google Adwords | 1 month | |
ANID | Advertising cookie with a unique randomly generated value to distinguish browsers and devices. Used for measuring ad performance and providing product recommendations. | Google Adwords | 1 year | |
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APISID | Used by Google to store user preferences and information when displaying pages with Google Maps. | Google Maps | 2 years | |
HSID | Used by Google to store user preferences and information when displaying pages with Google Maps. | Google Maps | 2 years | |
NID | Used to display geographic locations on Google Maps. | Google Maps | 6 months | |
OGPC | Supports visualization of geographic locations using Google Maps. | Google Maps | 2 months | |
SAPISID | Used by Google to store user preferences and information when displaying pages with Google Maps. | Google Maps | 2 years | |
SID | Used by Google to store user preferences and information when displaying pages with Google Maps. | Google Maps | 2 years | |
SSID | Used by Google to store user preferences and information when displaying pages with Google Maps. | Google Maps | 2 years | |
SIDCC | Provides services and extracts anonymous browsing information. | 3 months | ||
_ga | Distinguish users for statistical purposes. | Google Analytics | 2 years | |
_gid | Distinguish users for statistical purposes. | Google Analytics | 24 hours | |
_gat | Used to limit the percentage of requests through Google Tag Manager. | Google Analytics | 1 minute | |
CloudFlare | __cfduid | Identifies trusted web traffic. | CloudFlare | 1 year |
fbsr_* | Helps identify users who log in with their Facebook account. | Login with Facebook | 1 year | |
ACCOUNT_CHOOSER | Authentication cookies that remember the Google account previously used to log in and maintain sessions. | Google Accounts | 2 years | |
AEC | Security cookie ensuring that requests during a session are made by the user, not other sites. | 6 months | ||
DoubleClick (Google) | DSID | Advertising purpose. Helps identify the user on non-Google sites and remember if you agreed to receive interest-based ads. | Google DoubleClick | 10 days |
DV | Used for advertising and analytics purposes, linking user activity across devices. | 24 hours | ||
DoubleClick (Google) | IDE | Advertising purpose. Used to improve and display relevant ads. | Google DoubleClick | 1 year |
LSID | Authentication cookies that remember the Google account previously used to log in and maintain sessions. | Google Accounts | 2 years | |
OTZ | Used for advertising and analytics purposes, linking user activity across devices. | Google Analytics | 1 month | |
Amazon Ads | ad-id | Advertising cookies that deliver relevant ads, measure performance, and manage privacy preferences. | Amazon Advertising | 6 months |
Amazon Ads | ad-privacy | Advertising cookies that deliver relevant ads, measure performance, and manage privacy preferences. | Amazon Advertising | 2 years |
DoubleClick (Google) | ar_debug | Cookie used to debug and optimize ad delivery. | Google DoubleClick | 1 month |
datr | Security and advertising cookies that identify browsers, improve platform integrity, and deliver targeted ads. | 1 year | ||
guest_id | Used for user identification, ad personalization, and content recommendations. | 2 years | ||
guest_id_ads | Used for user identification, ad personalization, and content recommendations. | 2 years | ||
guest_id_marketing | Used for user identification, ad personalization, and content recommendations. | 2 years | ||
Tiktok | _ttp | Tracking and analytics cookies used to measure ad performance, track behavior, and authenticate users. | TikTok Analytics | 3 months |
Tiktok | tt_chain_token | Tracking and analytics cookies used to measure ad performance, track behavior, and authenticate users. | TikTok | 5 months |
Tiktok | ttwid | Tracking and analytics cookies used to measure ad performance, track behavior, and authenticate users. | TikTok | 11 months |
Twitter (t.co) | muc_ads | Used for user identification, ad personalization, and content recommendations. | 2 years | |
personalization_id | Used for user identification, ad personalization, and content recommendations. | 2 years | ||
sb | Security and advertising cookies that identify browsers, improve platform integrity, and deliver targeted ads. | 1 year | ||
CloudFlare (t.co) | __cf_bm | Security cookie that manages traffic and filters malicious bots. | Cloudflare | 30 minutes |
Amazon CloudFront | CloudFront-Key-Pair-Id | Used to control access to restricted content and verify authenticity. | Amazon CloudFront | Varies by configuration |
Amazon CloudFront | CloudFront-Policy | Used to control access to restricted content and verify authenticity. | Amazon CloudFront | Varies by configuration |
Amazon CloudFront | CloudFront-Signature | Used to control access to restricted content and verify authenticity. | Amazon CloudFront | Varies by configuration |
SMSV | Used to link device usage and website visits to the user's Google account. | 309 days | ||
SOCS | Used to store the user's status regarding their cookie choices. | 13 months | ||
__Host-1PLSID | Used for user login via Google account. | 2 years | ||
__Host-3PLSID | Used for user login via Google account. | 2 years | ||
__Host-GAPS | Used for user login via Google account. | 2 years | ||
Google Ads | Secure-1PAPISID | Used to create a visitor's interest profile and display relevant Google ads. | Google Ads | 2 years |
Google Ads | __Secure-1PSID | Used to display relevant and personalized Google ads. | Google Ads | 2 years |
Google Ads | Secure-1PSIDCC | Used to create a user profile and show relevant and personalized Google Ads. | Google Ads | 1 year |
__Secure-1PSIDTS | Stores an encrypted timestamp to maintain user sessions and preserve user preferences. | 1 year | ||
Google Ads | __Secure-3PAPISID | Used to create a visitor interest profile and display relevant Google ads. | Google Ads | 2 years |
Google Ads | Secure-3PSID | Used to display relevant and personalized Google ads. | Google Ads | 2 years |
Google Ads | Secure-3PSIDCC | Used to create a user profile and display relevant and personalized Google Ads. | Google Ads | 1 year |
__Secure-3PSIDTS | Stores an encrypted timestamp to maintain user sessions and preserve user preferences. | 1 year | ||
_fbp | Security and advertising cookies that identify browsers, improve platform integrity, and deliver targeted ads. | 3 months | ||
Google Analytics | _ga_F6BSWQWY45 | Assigns a unique identifier to distinguish users. | Google Analytics | 2 years |
Google Analytics | _ga_S66E9HVXEC | Assigns a unique identifier to distinguish users. | Google Analytics | 2 years |
Google AdSense | _gcl_au | Stores and tracks ad conversions. | Google AdSense | 3 months |
TikTok | _tt_enable_cookie | Tracking and analytics cookies used to measure ad performance, track behavior, and authenticate users. | TikTok | 13 months |
Own website | cookies-accept | Records the user’s acceptance of cookies. | Own website | Varies according to configuration |
TikTok | odin_tt | Tracking and analytics cookies used to measure ad performance, track behavior, and authenticate users. | TikTok | 13 months |
SendinBlue | sib_cuid | Identifies website visitors for marketing purposes. | SendinBlue | 13 months |
TikTok | user_web_id | Tracking and analytics cookies used to measure ad performance, track behavior, and authenticate users. | TikTok | 13 months |
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Countries
Countries
Can ski lifts be eliminated or at least reduced by artificial intelligence? We will see this winter in Sierra Nevada. Cetursa is willing to implement a system to instructor sensitive points in order to analyze data and thus determine whether the flow of customers and skiers can be better managed.
At the moment a tender has been launched to award the implementation of this system, which Cetursa has valued at about 217,800 euros. With this video analytics system it is expected to be able to control queues, waiting times and other related functionalities to improve the experience of visitors. The objectives pursued by this project are:
➤ Improve the user experience: Increase the attractiveness and degree of digitization of the station, providing information on the level of occupancy of the queues of the ski lifts (displayed on LED screens, mobile applications, websites...).
Optimize the internal management of the resort: Provide early and effective response to different incidents, through the data generated by the Artificial Intelligence of the cameras.
➤ Identify, count and know the number of people in an area to provide security and appropriate indications to crowds.
➤Access control: Proactively instructor and manage access and exit points in real time and from selected locations.
➤ AI-powered video analytics: Enable the integration of real-time alerting capabilities when changes occur in a given area.
All of this data analysis should be accessible in real time to make on-the-spot decisions if necessary. This will enable better management of ski lift operations and even personnel, reinforcing certain points when the need is detected.
With this, it is expected that queues can be reduced both in ski lifts and in other points such as restaurant areas. And thus increase customer satisfaction, which should result in greater loyalty. In other words, to ensure that they return to ski in Sierra Nevada.
Taking into account the weather conditions of a ski resort, which are radically different from those of a city or urban environment, the cameras must take this factor into account.
Therefore, Cetursa requires the video system to have high-definition cameras with the capacity to capture clear images in different conditions, including the changing weather conditions of a ski resort. These devices must be connected to a secure network to transmit real-time data to the central image analysis system. In a first phase, 25 points have been identified for analysis.
In summary, the successful implementation of the objectives detailed in this project will lead to the creation of a highly efficient and customer-oriented Integrated Management System for the Sierra Nevada ski resort.
As Cetursa itself assures:
"This system will allow the collection, analysis and presentation of data in an efficient manner, which will result in substantial benefits for the resort and its visitors. Improved customer service will be evident as accurate and up-to-date waiting times are provided, reducing inconvenience and improving the overall skier experience.
The system will not only provide valuable information for comprehensive resort management, but will also promote customer satisfaction and loyalty by reducing wait times, facilitating car park and providing useful information.
This, in turn, will increase the likelihood that customers will return and recommend the resort to others.
In addition, by following industry "best practices" and maintaining an ability to adapt to unexpected challenges, such as weather issues or capacity constraints, the system will position itself as a valuable and competitive asset for the Sierra Nevada ski resort globally.
In short, this project will not only optimize the management of the ski resort, but will also enhance customer satisfaction and ensure efficient and resilient operation in the face of future challenges, strengthening Sierra Nevada's position as a leading winter sports destination".