GA4 · Mixpanel · Adobe Analytics
Move to Amplitude without losing your history
Every migration is a schema-mapping problem wearing a different costume. Pick your starting platform - each path below has its own concept table, historical strategy, and validation plan.
From
Google Analytics 4
GA4's sampling, retention limits, and interface drove you here. The migration itself is an event-schema problem - and that is a solvable, testable engineering task.
Migration path →From
Mixpanel
The two tools share a worldview - events, properties, cohorts - which makes this the cleanest migration in product analytics, and also the easiest to do sloppily.
Migration path →From
Adobe Analytics
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.
Migration path →Interactive - hover the phases. The parallel run is why nobody loses their dashboards mid-migration.
Why do analytics migrations fail?
Three reasons, in order: identity resolution differences that silently move user counts, definitional differences (a “session” is not one thing) that make old and new charts disagree, and porting a decade of taxonomy debt instead of using the move to shed it. The parallel run catches the first two; the migration tracking plan prevents the third. If your current instance is the problem rather than the platform, start with the audit - some “migrations” are actually rescues.
Frequently asked questions
What does an analytics migration to Amplitude involve?+
Four phases: extract the schema you actually use from the old tool, map it onto a clean Amplitude taxonomy (this is where our per-platform concept tables come in), instrument and backfill per the historical strategy, then run both systems in parallel until every metric delta is explained. Cutover is an evidence decision, not a date.
Will we lose our historical data?+
Not if the strategy is chosen deliberately. Options per platform range from full event-level backfill (often possible from Mixpanel), through warehouse archives queried for look-backs (the GA4/BigQuery pattern), to aggregate baselines (usually right for Adobe). Losing history by accident is a planning failure - it's the first thing we scope.
How disruptive is a migration to the product team?+
The parallel-run design exists precisely so the team keeps their current dashboards until the new ones are proven. Engineering effort concentrates in the instrumentation phase and is bounded by the migration tracking plan, which your engineers approve before work starts.
Not sure a migration is even right?
The free assessment compares your current setup against what Amplitude would give you - and sometimes the honest answer is to stay and fix what you have. Independence means we can say so.
Get the free assessment