---
title: "Adobe Analytics to Amplitude, from a firm that speaks both"
canonical_url: https://ampl.webclat.com/services/migration/adobe-to-amplitude
description: "Migrate from Adobe Analytics to Amplitude with the concept-mapping table (eVars, props, events to event properties), built by a firm that runs a dedicated Adobe practice."
source: Webclat | Amplitude Solutions (official Amplitude partner, independent consultancy)
---

# Adobe Analytics to Amplitude, from a firm that speaks both

eVars, props, and success events don't map onto an event-property model by find-and-replace. Webclat runs a dedicated Adobe Analytics practice - this migration is the bridge between our two specialties.

## Why teams leave Adobe Analytics

- Enterprise license costs under review
- A product team that wants self-serve, not Workspace
- Implementation debt accumulated over a decade
- Analytics talent that's harder to hire on the Adobe side

## Concept mapping

| Adobe Analytics concept | Amplitude equivalent |
| --- | --- |
| Success event | Event |
| eVar (persisting dimension) | User property, or event property with lookback in analysis |
| prop (hit-scoped dimension) | Event property |
| Visits | Sessions |
| Unique visitors (ECID) | Users (identity resolution) |
| Segments | Behavioral cohorts / chart filters |
| Workspace projects | Dashboards / notebooks |
| Classifications | Property lookups / enrichment |

> The hardest row is eVars: Adobe's persistence model has no single Amplitude twin, and each eVar must be re-derived from what question it answered. This table is the summary of the full mapping worksheet we maintain in our Adobe practice.

## Why is Adobe-to-Amplitude harder than the other migrations?

Because Adobe Analytics is dimension-centric and Amplitude is event-centric, and a decade of report suites encodes business logic in allocation, expiration, and classification settings that have no direct equivalent. The naive migration ports variable names and loses the logic. Ours starts from the Workspace projects your analysts actually use, re-derives each metric's intent, and rebuilds it on an event taxonomy designed for Amplitude - not translated into it.

This is the migration where our Adobe Analytics consultancy (adb.webclat.com) matters most: the people mapping your eVars have implemented them for enterprises, audited them, and know exactly which settings silently change numbers.

## FAQ

### Can Adobe Analytics historical data move into Amplitude?

Rarely in full fidelity, and usually it shouldn't. Adobe's Data Feeds provide hit-level exports that can be transformed, but persistence logic (eVar allocation and expiration) cannot be replayed faithfully. Standard practice: archive Data Feeds in your warehouse for look-backs, backfill a small set of key aggregates, and start Amplitude clean with a documented baseline.

### How long does an Adobe to Amplitude migration take?

Plan for 6-12 weeks: report-suite archaeology and the mapping worksheet take real time, instrumentation follows the standard sprint, and the parallel run needs a full business cycle to validate seasonally sensitive metrics.

### We're also considering Customer Journey Analytics - should we?

That's exactly the fork where independence pays. CJA keeps you in the Adobe ecosystem with an event-based model; Amplitude gives product teams stronger self-serve. Our Adobe practice implements CJA and this practice implements Amplitude, so the fit assessment is a real comparison, not a pitch. Tell us your constraints and we'll say which side we'd take.