Analytics architecture
How product data flows from the app to the tools where it is analyzed.
Analytics architecture covers client and server tracking, event pipelines, product analytics tools and warehouses. Server-side events are more reliable for important actions. Choices here decide cost, privacy and what questions are easy to answer.
Resources
none yetResources for this topic are being researched. Every link is opened and checked before it is listed.
- docsStart herePlanning a full installation ↗Twilio Segment docs · 12 min
A practical walk through deciding what to track, with a tracking plan template and the reasons behind each choice.
- docsStart herePlan your taxonomy ↗Amplitude docs · 2026 · 8 min
How to go from business questions to a small set of events and properties, with naming advice.
- articleStart hereNaming conventions: why you need them for clean data ↗Twilio Segment · 2026 · 15 min
Explains the object-action naming pattern and shows how messy event names break analysis later.
Tools
2- ToolFreemiumTwilio Segment
Collects events once and sends them to analytics, marketing and warehouse tools, with tracking plan enforcement.
- ToolOpen sourceRudderStack
Customer data pipeline that collects events and routes them to a warehouse and other tools, with an open-source core.