Events

Events are timestamped user actions you track in Netmera.

Use them for triggers, segmentation, journeys, and analytics.

Looking for setup steps? Use the shortcuts below.

Next step

Event types (standard, automated, predefined)

Open

Netmera Events

Next step

Create your own event schema (name, attributes, types)

Open

Create Custom Events

Next step

Explore event counts and breakdowns in the UI

Open

Event Insight

Events vs profile attributes

Use Profile Attributes for user state.

Examples: membership tier, language, consent, last known store.

Use Events for user behavior.

Examples: viewed product, searched, added to cart, purchased.

If it can happen many times, it’s usually an event.

What you can do with events

Trigger messaging and journeys

Start a journey, branch a path, or send a message on an event.

Build behavior-based audiences

Segment users by event recency and frequency.

You can also filter by event attributes.

Track goals and funnels

Use events as funnel steps and conversion signals.

Quickstart: track → verify → use

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1) Define the event and the attributes you need

Keep event names stable.

Add attributes only if you will target or analyze with them.

Example:

• Event: purchase

• Attributes: order_id (string), amount (double), currency (string), category (string)

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2) Use an existing event, or create a custom one

Standard and automated events are ready to use.

Custom events are defined in the dashboard, then implemented by your developers.

Create a custom event here: Create Custom Events.

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3) Implement and fire the event

For custom events, the panel generates the code your developers will use.

Make sure you send the expected attribute types.

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4) Verify the data is flowing

Use Event Insight:

• the event appears in search

• counts increase when you perform the action

• attributes show up as dimensions (for custom events)

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5) Put the event to work

Typical usage points:

• Journey triggers and branches

• Campaign targeting (“performed / not performed”)

• Segments (recency, frequency, attribute filters)

• Analytics breakdowns in Event Insight

Related data topics

• Profile Attributes

• Tagless Data Capture