Privacy policy of Frank Brushes GmbH

This section provides an overview of the terms used in this privacy policy. Where the terms are defined by law, their legal definitions apply. The following explanations are primarily intended to aid understanding.

• Inventory data: Inventory data comprises essential information necessary for the identification and management of contractual partners, user accounts, profiles and similar assignments. This data may include personal and demographic information such as names, contact information (addresses, telephone numbers, email addresses), dates of birth and specific identifiers (user IDs). Inventory data forms the basis for any formal interaction between individuals and services, facilities or systems by enabling unique assignment and communication.
• Content data: Content data includes information generated during the creation, editing and publication of all types of content. This category of data can include text, images, videos, audio files and other multimedia content published on various platforms and media. Content data is not limited to the actual content itself, but also includes metadata that provides information about the content, such as tags, descriptions, author information and publication dates.
• Contact details: Contact details are essential information that enables communication with individuals or organisations. They include telephone numbers, postal addresses and email addresses, as well as communication tools such as social media handles and instant messaging identifiers.
• Meta, communication and procedural data: Meta, communication and procedural data are categories that contain information about how data is processed, transmitted and managed. Meta data, also known as data about data, includes information that describes the context, origin and structure of other data. It can include details such as file size, creation date, document author and change history. Communication data captures the exchange of information between users across various channels, such as email correspondence, call logs, social media messages and chat histories, including the individuals involved, timestamps and transmission routes. Procedural data describes the processes and procedures within systems or organisations, including workflow documentation, transaction and activity logs, and audit logs used to track and verify operations.
• Usage data: Usage data refers to information that tracks how users interact with digital products, services or platforms. This data covers a wide range of information that shows how users use applications, which features they prefer, how long they stay on certain pages and which paths they navigate through an application. Usage data may also include frequency of use, timestamps of activities, IP addresses, device information, and location data. It is particularly valuable for analysing user behaviour, optimising user experiences, personalising content, and improving products or services. In addition, usage data plays a crucial role in identifying trends, preferences, and potential problem areas within digital offerings.
• Personal data: ‘Personal data’ means any information relating to an identified or identifiable natural person (hereinafter referred to as ‘data subject’); A natural person is considered identifiable if they can be identified, directly or indirectly, in particular by association with an identifier such as a name, an identification number, location data, an online identifier (e.g. cookie) or one or more special characteristics that express the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.
• Profiles with user-related information: The processing of ‘profiles with user-related information’, or ‘profiles’ for short, includes any type of automated processing of personal data that consists of using this personal data to analyse, evaluate or predict certain personal aspects relating to a natural person (depending on the type of profiling, this may include various information regarding demographics, behaviour and interests, such as interaction with websites and their content, etc.) or to predict them (e.g. interest in certain content or products, click behaviour on a website or location). Cookies and web beacons are often used for profiling purposes.
• Log data: Log data is information about events or activities that have been logged in a system or network. This data typically includes information such as timestamps, IP addresses, user actions, error messages, and other details about the use or operation of a system. Log data is often used to analyse system problems, monitor security, or generate performance reports.
• Reach measurement: Reach measurement (also known as web analytics) is used to evaluate visitor traffic to an online offering and can include the behaviour or interests of visitors in certain information, such as website content. With the help of reach analysis, operators of online services can, for example, identify at what time users visit their websites and what content they are interested in. This enables them to better tailor the content of their websites to the needs of their visitors. For the purposes of reach analysis, pseudonymous cookies and web beacons are often used to recognise returning visitors and thus obtain more accurate analyses of the use of an online service.
• Location data: Location data is generated when a mobile device (or another device with the technical capabilities to determine its location) connects to a radio cell, Wi-Fi or similar technical means and functions for determining its location. Location data is used to indicate the geographically determinable position of the respective device on Earth. Location data can be used, for example, to display map functions or other location-dependent information.
• Controller: The ‘controller’ is the natural or legal person, public authority, agency or other body which, alone or jointly with others, determines the purposes and means of the processing of personal data.
• Processing: ‘Processing’ means any operation or set of operations which is performed on personal data, whether or not by automated means. The term is broad and covers virtually any handling of data, whether it be collection, evaluation, storage, transmission or deletion.
• Contract data: Contract data is specific information relating to the formalisation of an agreement between two or more parties. It documents the terms and conditions under which services or products are provided, exchanged or sold. This category of data is essential for the management and fulfilment of contractual obligations and includes both the identification of the contracting parties and the specific terms and conditions of the agreement. Contract data may include the start and end dates of the contract, the type of services or products agreed upon, price agreements, payment terms, termination rights, renewal options, and special conditions or clauses. It serves as the legal basis for the relationship between the parties and is crucial for clarifying rights and obligations, enforcing claims, and resolving disputes.
• Payment data: Payment data includes all information required to process payment transactions between buyers and sellers. This data is crucial for e-commerce, online banking and any other form of financial transaction. It includes details such as credit card numbers, bank details, payment amounts, transaction dates, verification numbers and billing information. Payment data may also include information about payment status, chargebacks, authorisations and fees.