1. Product name and product concept: #

DataFinder, also known as Volcano Engine Growth Analysis, is the user behavior analysis product of Volcano Engine and is sometimes referred to as "Finder" in this series of documents.

• User behavior: User behavior consists of five simple elements: time, location, person, interaction, and the content of the interaction.
• User behavior data: The simplest form of user behavior data is logs, which record various user actions, such as web browsing, purchasing, clicking, rating, commenting, and more. This data can be analyzed horizontally to identify common characteristics of a particular user group, for example, analyzing the click-through rate of all users on a specific page; it can also be analyzed vertically to examine the behavioral details and processes of an individual user, such as conducting a detailed behavior investigation for a specific user.
• User behavior analysis: Collects, organizes, and counts all data generated during users' interactions with the product (including download volume, usage frequency, page views, visit rate, retention, and more), and then analyzes patterns in users' product usage to provide strong data support for subsequent product development, optimization, or marketing activities.

2. Relevant professional concepts involved in BytePlus DataFinder: #

1. Event: Refers to a type or category of user action, for example, a user watching a video or commenting.
2. Virtual event: A combination of multiple events, for example, user forwarding, commenting, or liking events together constitute a user interaction event; the occurrence of any one of these events by a user is counted as an interaction event.
3. Event attribute (also known as Params): Used to describe various dimensions of information when an event occurs, including user information (user_id), device information (app version, device ID, and so on).
4. Public event attribute (also known as Header): Refers to the general attributes that are reported with every event.
5. Position: This can refer to on-site resource positions, operational activities, and so on, and may be used in attribution analysis features. However, to use "position" for attribution analysis, it must be predefined on the web portal. For specific methods, see: https://www.volcengine.com/docs/6285/65949.
6. Metric: Refers to the quantitative value of an event or virtual event (a specific value). For example, the number of visitors, page views, and time spent are all common metrics.
7. Confidence interval: The range within which a certain proportion of data falls, indicating the reliability of the estimate. A larger confidence interval value means higher tolerance.
8. Event tracking: Refers to the process of writing event logic into code through SDK development.
9. Full event tracking: Also known as "no manual event tracking", "invisible event tracking", and "automatic event tracking". Full event tracking automatically collects and reports data on standard page views and standard element clicks.
10. Touchpoint: Refers to the medium through which users interact with your product or service. For example, websites, apps, mini programs, and official accounts can all be considered touchpoints.
    

3. Specific English concepts involved in BytePlus DataFinder: #

1. touchpoint_click: Touchpoint for user click behavior
2. app_launch: Application launch, app launch, open app
3. LTV: Lifetime value (life time value), which is the total economic benefit an enterprise obtains from a user's interactive behavior within the product
4. id-mapping: Identity mapping
5. Session (also called a session): Refers to a series of actions (such as browsing, clicking, placing orders) performed by a user during continuous activity on your website, mobile web (H5), mini program, or app.