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Events

Every interaction, captured once.

Custom events, automatic page views, and JSON property payloads. The grammar is plain strings and JSON, so your data stays portable forever.

  • Every visit included
  • Inputs never recorded
  • EU-resident by default
A product professional using analytics on a laptop in a modern workplace
Events
Signal
1x
Coverage
100%
Decision
JSON
Where the signal gets lost

Why event tracking goes wrong

01

Client-side dedup misses prefetch and back-button reloads, so counts drift between dashboards and reality.

02

Untyped event names accumulate. "Sign Up" and "sign_up" become two metrics you cannot reconcile.

03

Vendor-specific event grammars lock you into one analytics tool. Migration means rewriting every instrumentation call.

The leadmaps difference

How leadmaps does it

Clean first-party evidence, presented clearly enough for the whole team to act on.

A product team reviewing analytics together01

One SDK call, every kind of event.

Call leadmaps.track once for checkout_started with a plan property. Page views stay automatic and every custom event uses the same small API.

Server-side dedup.

The collector hashes (visitor, session, event, timestamp) and rejects duplicates. Your dashboards do not double-count, even under prefetch storms.

Open schema, portable forever.

Event names are strings, properties are JSON. Export the raw stream anytime. No remapping at the destination, no proprietary IDs to translate.

A product team reviewing analytics together04

Typed, if you want.

Generate a TypeScript event registry from your own definitions. Catch typos at compile time instead of two weeks later in the dashboard.

A team using product data to make a decision together
Ready when you are

Turn the next question into a clear answer.

Keep the raw signal, the decision, and the context in one privacy-first workspace.

Signal ready100%