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Hourly Usage

Path: Reports > Behavioural > Event Reports > Hourly Usage

Hourly Usage helps you understand how a selected event is distributed throughout the day. It is useful when timing matters and you want to see when activity actually happens.

Use this report when you want to answer questions such as:

  • When do users trigger an event most often?

  • When does a campaign start creating reaction?

  • Is there unusual traffic during a specific hour?

Report overview

This report focuses on hourly distribution. It helps you spot peak usage periods, campaign reaction windows, and short-term anomalies more quickly than a daily report.

Use it when you care about timing, not just volume. For broader event trends across days, use Daily Event Count.

Choose the time period

The time range controls how the hourly distribution is built:

  • Today is useful for same-day monitoring.

  • Last Week helps compare recent daily behavior.

  • Last Month is useful for broader recent patterns.

  • Last Year helps when you need a long-range view.

  • Dates Between is best for a specific launch, campaign, or operational period.

Use event properties for more precise analysis

Event properties add context to the selected event and help you narrow the result to a more specific use case. This matters when the same event can happen in different business contexts.

Available properties depend on the event. Standard Netmera events include predefined fields, while custom events use the attributes defined during setup.

To add event properties:

  1. Select the event you want to analyze.

  2. Click Add Event Property.

  3. Choose the relevant property and value.

  4. Click Add.

  5. Click Find to generate the report.

Example

Suppose you want to analyze View Push for a specific Message ID. Select View Push, add Message ID as the event property, choose the relevant values, define the time range, and then run the report.

This view is best for fast hourly pattern reading. When you need more advanced breakdowns, continue with Event Insight.

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