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Cookie Policy

Last updated: March 26, 2026

How we process cookies
How we process cookies
What cookies we process
Operational (necessary) cookies
Functional (preference) cookies
Performance and analytical cookies
Marketing cookies
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How we process cookies

Spark DigitUP Sp. z o.o. - the owner of the "Trafficwatchdog" service and program, uses cookies that may collect personal data to ensure the operation of the service, improve its features, or better match ads to Users. Cookies may be stored in the browser on the User's computer or phone while visiting our service or using the online service.

What cookies we process

Some cookies are strictly necessary for our service and functions to work at all. According to the law, we do not need the User's consent to process these cookies and we process them based on the so-called legitimate interest. Other cookies require your consent – these are cookies that allow us to remember information about your settings (preference or functional cookies), help collect information on website usage (statistical or analytical cookies), or can also be used to display relevant advertisements (marketing cookies). A detailed list of cookies processed by us, including their names, providers, and validity periods, can be found below.

The User can change or withdraw their consent to the use of cookies at any time by clicking the "Cookie consent banner" link in the lower left corner of the screen to reopen the consent banner and in their browser settings.

Detailed information on how we protect your personal data, who its controller is, and what rights you have can be found in our Privacy Policy: Click here

Operational (necessary) cookies

These cookies are necessary for the proper and secure functioning of the website.

Name Domain Duration Description
_GRECAPTCHA google.com 6 months Security and protection against bots, abuse and fraud
cc_cookie trafficwatchdog.pl 6 months Remembering cookie consents
XSRF-TOKEN trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
trafficwatchdog_session trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
lsp_vid trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
trafficscanformdata trafficwatchdog.pl Session Security and protection against bots, fraud/abuse
twd_cs trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_dc trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_ds trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_du trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_s trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_u trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_v trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twd_vc trafficwatchdog.pl 30 days Security and protection against bots, abuse and fraud
twdOpenedMO trafficwatchdog.pl 30 days Chat window state
rotate_textvars_x trafficwatchdog.pl 30 days Index of a random content variant
twdPopupOpened trafficwatchdog.pl 30 days Last chat opening state
twdPopupOpenedRuleId trafficwatchdog.pl 30 days Last chat rule
twdPopupRuleIdFromParam trafficwatchdog.pl 30 days Chat window state with rule
courier_message_pathXYZ trafficwatchdog.pl Session Storage Conversation history
courier_widget_unread_messages trafficwatchdog.pl Session Storage Unread messages
twdhsb trafficwatchdog.pl Local Storage Site activity history
twd_cb_XYZ trafficwatchdog.pl Local Storage Conversation history
twd_rh_XYZ trafficwatchdog.pl Session Storage Activity history
organicEntryCount trafficwatchdog.pl Session Storage Security and protection against bots, abuse and fraud
organicEntry trafficwatchdog.pl Session Storage Security and protection against bots, abuse and fraud
twdOrganicEntryCountLS trafficwatchdog.pl Local Storage Security and protection against bots, abuse and fraud
twdOrganicEntryLS trafficwatchdog.pl Local Storage Security and protection against bots, abuse and fraud

Functional (preference) cookies

These cookies are required to use additional features of the website.

Name Domain Duration Description
TawkConnectionTime tawk.to Session Connection management
__tawkuuid tawk.to 6 months User identification for chat maintenance
^twk_uuid_ tawk.to 6 months User identification for chat maintenance

Performance and analytical cookies

These cookies collect information about how you use the website, e.g. which pages you visit and which links you click.

Name Domain Duration Description
^_ga google.com 400 days Distinguishing unique users
_gid google.com 1 day Unique identifier

Marketing cookies

These cookies are used to track Users across different websites. Their purpose is to display ads that are relevant and engaging for individual Users and thereby more valuable for publishers and third party advertisers.

Name Domain Duration Description
_fbp trafficwatchdog.pl 3 months Meta Marketing
_gcl_au trafficwatchdog.pl 3 months Google Marketing
bcookie linkedin.com 1 year LinkedIn Marketing
li_gc linkedin.com 6 months LinkedIn Marketing
lidc linkedin.com 1 day LinkedIn Marketing

Contact

If you have questions or requests concerning cookies or personal data, please contact us at: kontakt@trafficwatchdog.pl

Downloads

TrafficWatchdog.pl - Cookie policy (PDF)

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CONTACT US
European Funds - Smart Growth
Republic of Poland
The National Centre for Research and Development
European Union - European Regional Development Fund

POIR.01.01.01-00-0241 / 19-00 - Traffic Watchdog 2.0 - a system of verification and protection against unfair activities in Internet marketing (ad frauds) using artificial intelligence technology and virtual finger-print. The project is implemented with funds from the National Centre for Research and Development (for more information click here).

POIR.01.01.01-00-0384 / 21-00 - Sales Bot 2.0 - development of an innovative e-commerce sales system based on individual user price profiling with a dynamic product recommendation system based on machine learning and device fingerprint. The project is funded by the National Center for Research and Development (for more information click here).

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Spark DigitUp Sp. z.o.o., Plac Wolnica 13 lok. 10, 31-060 Kraków, NIP 6762496391

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The project includes conducting development research to develop an intelligent system to combat fraud in online marketing, Traffic Watchdog version 2.0, operating on the basis of the so-called virtual fingerprint technology and artificial intelligence, in particular neural networks. This system allows for the identification of artificial and worthless advertising traffic generated by machines (such as bots, click farms, virtual machines, scripts) - the so-called non-human traffic and worthless ad clicks by people. Total project value: 2,443,302.89 PLN. Co-financing value: 1,465,981.74 PLN.

The project includes conducting development research to develop the Sales Bot 2.0 system. A sales system for e-commerce operating as a chat-bot conducting active online sales for an e-store using machine learning and deep neural networks (a system of dynamic product recommendations integrated with individual price profiling) and user identification based on the device fingerprint technology (virtual imprint). Total value of the project: 2,730,901.10 PLN. Co-financing value: 1,638,540.63 PLN.

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