Understanding Event Tracking (埋点): Definition, Purpose, Data Flow, Teams, Process, and Testing

1. What is Event Tracking (埋点)

Event tracking, also called 埋点, refers to the technology and process of capturing, processing, and sending user actions or events in an app or website, essentially "listening" to user behavior.

2. Purpose of Event Tracking

It enables the collection of user behavior data, such as which buttons are clicked, which pages are viewed, how often certain features are used, and other interaction metrics.

3. Data Flow Overview

3.1 Real‑time Data – User actions are reported by the client SDK, written to a JDQ write cluster, aggregated by a Fregeta task to a JDQ read cluster, and then consumed by downstream Flink jobs which output processed topics for downstream services like Golden Eye, Business Intelligence, and Search Promotion.

3.2 Offline Data – Clickstream data is reported by the client SDK, stored in a CFS network drive, extracted by an offline extraction service into a data warehouse, processed through multiple layers, and finally served to downstream business applications.

4. Related Teams

The diagram shows the responsibilities of various teams involved in the event‑tracking lifecycle.

5. Event‑Tracking Process

5.1 Business product submits requirements to the event‑tracking product via the 子午线 platform. 5.2 The product reviews the request, defines a tracking plan, and holds a review meeting. 5.3 Front‑end developers implement the tracking according to the plan, ensuring they work on the correct version branch. 5.4 Testing validates reporting rules and field definitions on the Track platform. 5.5 Acceptance verifies test reports and data persistence. 5.6 After acceptance, the version status is set to "online" and the code is merged and released.

6. Main Quality Assurance – Event‑Tracking Testing

6.1 Common Issues – Missing 子午线 workflow, unchanged tracking after logic changes, unsynchronized upstream/downstream releases, incompatible new field structures, etc.

6.2 Test Cases – Reporting Content Quality

6.2.1 Field verification ensures field names, types, lengths, enums, and nested JSON structures match the specification. 6.2.2 Reporting rule cases cover various page view (pv) scenarios, click scenarios, and exposure scenarios, describing expected behavior and typical pitfalls.

6.3 Testing Tool – Track Platform

The Track platform provides a one‑stop solution for event‑tracking quality, supporting proxy or QR‑code reporting, automatic rule validation, and detailed field inspection, facilitating testing, development, product, and business teams to quickly verify tracking implementations.