Master Data Tracking: Key Scenarios, Workflow & the 7‑Step ‘Seven‑Word’ Guide

Data Tracking Application Scenarios

Data tracking records both passive and active user behaviors, enabling statistical analysis for product optimization and operational guidance.

Overall metrics: PV, UV, exposure clicks, user count, membership, repurchase rate.

User behavior analysis: usage habits, decision paths, heat‑map distribution.

Product trend monitoring: daily traffic, lifecycle stages, promotion period trends.

Feedback for iteration: conversion funnels across browsing, clicking, favoriting, adding to cart, commenting, sharing, and related conversion rates.

Roles Involved in Data Tracking

Business side: page and product operation personnel.

Data product line: data product managers and testers.

Advertising product line: advertising product managers.

Page product line: page product managers, testers, and front‑end developers.

Backend Data Tracking Classification

Exposure Tracking

Counts how many users have viewed a specific page region (e.g., app home page banner, WeChat Moments ad slot, Douyin splash screen). One view per user per region counts as one exposure event; repeated scrolling does not create additional counts.

Key points:

Exposure logic: a single user scrolling counts once; page reloads may trigger additional counts.

Exposure standards: roughly 100 px visibility on App/WAP, and a dwell time of about 10–15 seconds is considered an exposure.

Click Tracking

Records any user click within an application (e.g., cart click, WeChat Moments click, image click). Clicks are active behaviors and are tracked separately from exposures.

Click‑through rate (CTR) is calculated as clicks divided by exposures for a given region.

Page Events

Collects various page‑level information such as URL, user account, device details, and other parameters, typically passed through page parameters and stored in a database.

Device info: device ID, browser version, terminal type, screen resolution.

Visit info: user account, member code, page URL, visit timestamps, duration.

Source info: ad source, previous page URL.

Destination info: target page URL and title.

Product info: product code, supplier code, shop code, product name.

Data Tracking Workflow

The end‑to‑end process includes requirement collection, design, review, development, testing, deployment, and post‑launch analysis.

Requirement submission by operations or product managers.

Clarify and document tracking specifications (positions, parameters, terminal types, template names).

Review of tracking documentation with stakeholders.

Front‑end development of exposure, click, and parameter tracking.

Integration testing in a test environment.

Production deployment with verification (e.g., order attribution).

Post‑launch review and documentation of tracking outcomes.

Statistical analysis and user behavior insights, often via a dedicated tracking platform.

Seven‑Word Guide ("七字诀")

位： Tracking position.

埋： Standardized implementation by front‑end developers.

时： Development, integration, and launch timing.

测： Testing during integration and deployment.

传： Parameter transmission through data collection and warehousing.

表： Data landing in Hive tables (real‑time or offline).

统： Statistical analysis after successful verification.