Guide · 9 chapters
Learning Amplitude through what you know about Adjust
Adjust tells you where a user came from. Amplitude tells you what they did after they arrived. This guide teaches the second question by comparing it with the logic of the first.
Learning path
Each chapter builds on the previous one. The first three cover the logic, the next three the practice, and the last three the Adjust connection and hands-on work.
| Chapter | What you will learn | What you already know from Adjust |
|---|---|---|
| 1. What is Amplitude? | Which question product analytics answers, and how it differs from an MMP | The role of an MMP |
| 2. Data model | Events, event properties, user properties, groups | Event tokens, callback/partner parameters |
| 3. Identity | device_id, user_id, Amplitude ID and merging | ADID, device-based installs |
| 4. Data ingestion | SDKs, HTTP API, integrations, warehouse | The SDK vs S2S split |
| 5. Analysis charts | Segmentation, funnel, retention, journeys, cohorts, stickiness, lifecycle | Datascape and cohort reports |
| 6. Tracking plan | Naming, plan template, validation loop | The event token list |
| 7. Working with Adjust | How the integration works and why the numbers don't match | Discrepancy analysis |
| 8. Glossary | Adjust → Amplitude concept mapping, searchable | All of it |
| 9. Hands-on lab | A 4-week plan, exercises, verification list | A test integration |
How to read this guide
Colours mean the same thing in every chapter. Orange boxes explain the Adjust equivalent; they are the main bridge of the guide. Red boxes flag common mistakes, green boxes give practical tips.
These boxes map a concept you already know in Adjust to its Amplitude counterpart and state the difference.
Purple boxes contain details that can change with product version, plan or UI. Check them against Amplitude's current documentation before passing them on to a client.
The numbers in the charts are sample data chosen to illustrate a concept. To understand what a chart counts, focus on how a number comes about, not on the number itself.