Event Insight

Unlocking the Full Potential of Event Analytics

Quick Steps Guideline

Go to your Netmera Panel and click:

Analytics -> Event Insight

1. Decide on your Time Period,

2. Select your Target (All Users/Segment/Tag/Profile),

3. Search for Events and click on Add Event Property,

4. Click on "Find", and then later choose "Select Events" to see all data below,

5. You may use "Dimensions" and buttons such as "Unique User Count, Total Event Count, By Session" to further specify your target.

Step 1. Filter Event Data

1. Select Your Time Period: Begin by deciding on the timeframe for your analysis. You can choose from options like last week, month, or year. The selected timeframe will be the foundation for your analysis, determining the data range you'll examine.

1. Define Your Target Audience: Identify the specific group of users you want to focus on in your analysis. You have several options:

• All Users: Analyze data for all users of your app.

• Segment: Focus on a specific user segment you've defined based on criteria like behavior, demographics, or past interactions.

• Tag: Analyze data for users who have been tagged with a particular attribute or characteristic.

• Profile: Zoom in on users with specific profiles that meet your predefined criteria.

1. Add Events: To analyze user interactions, select specific events that represent actions users take within your app, such as clicks, purchases, or sign-ups. Use the search function to locate and select the event you want to analyze. Simply type in the event name or description to find it.

1. Add Event Properties (Optional): For more detailed insights, you can add event properties. Event properties allow you to filter event data based on additional attributes associated with the event. Click on "Add Event Property" to specify any additional properties you want to consider in your analysis. For example, you can filter by location, device type, or custom properties you've defined.

Step 2. View Data

The Event Analytics Dashboard is a powerful tool that allows you to analyze user interactions within your app based on various events. Here's a detailed breakdown of how to use this dashboard effectively:

View Data Section

The View Data section provides two main options for analyzing events:

• Total Event Count: This option displays the total number of times each event has occurred.

• Unique User Count: This option shows the number of distinct users who have performed each event.

Event Analytics Table

The table in the View Data section is organized into several columns, each providing specific information about the events and user interactions. Here's how to interpret the table:

1. Events Column:

   • This column lists the specific events you are tracking. In the example shown, the event is "Time in App."

2. All Total Column:

   • This column shows the total count of the specified event across all platforms.

3. Mobile and Web Columns: These columns break down the total event count by platform and device type:

   • Mobile: This includes data from iOS and Android devices.

     • Total: The combined count of the event for all mobile devices.

     • iOS: The count of the event specifically for iOS devices.

     • Android: The count of the event specifically for Android devices.

   • Web: This includes data from various web browsers.

     • Total: The combined count of the event for all web browsers.

     • Safari, Chrome, Firefox, Other Browsers: The count of the event for each specific web browser.

4. Rest, SMS, and Email Columns:

   • These columns would display the count of events related to REST API calls, SMS interactions, and email interactions if applicable.

Hidden Fields

The "Hidden Fields" option allows you to customize the table by hiding or displaying additional fields as needed. This feature helps you focus on the most relevant data for your analysis.

Export Function

The Export button at the bottom right of the screen allows you to export the data displayed in the table to an Excel file. This feature is useful for detailed examination, reporting, and further analysis outside the Netmera platform.

Dimensions

The new dimensions feature allows you to analyze events based on various criteria. Here’s how to utilize this feature:

1. Dimensions Dropdown:

   • Located under the "Dimensions" field, this dropdown menu lets you select different dimensions to analyze the events. Options include:

     • Month

     • Week

     • Days of a Week

     • Days of a Month

     • Hours of a Day

     • External ID

     • Custom Event Attributes

How to see different dimensions for events:

These event dimensions are determined when the event is created on Panel > Developers > Events. The event attributes you add to your custom event will be shown here, allowing you to tailor the analysis to your specific needs and gain deeper insights into user behavior. You may check Creating Custom Events page for further guidance.

1. Selecting Dimensions:

• Choose a dimension from the dropdown menu to analyze how the selected events vary according to the chosen criteria. For example, selecting "Month" will show how the event count changes month by month.

1. Adding to Table:

• After selecting a dimension, click the "Add to Table" button to include the dimension in your analysis. This will update the table to reflect the chosen dimension, providing more detailed insights into user behavior.

1. Example of Dimension Use:

• If you select "Days of a Week," the table will show how the event count varies for each day of the week. This can help identify trends, such as higher engagement on weekends or specific days.

Additional Controls

• Show Total Event Count: Allows you to filter the data to show the total count of selected events.

• New Breakdown: Use this button to create a new analysis breakdown based on different criteria or dimensions.

• Delete: Remove specific breakdowns or data columns from the table if they are no longer needed.

By leveraging these event features and dimensions, you can gain a comprehensive understanding of user interactions and engagement patterns within your app. This detailed analysis supports informed decision-making and enhances your overall customer engagement strategy.

Understanding Event Values

When filtering for the same event over the same date range on different days, you might notice variations in the reported values. This is due to how our system manages offline events:

1. Offline Event Handling: When a user logs in while offline, the event is recorded with the correct timestamp and stored locally.

2. Synchronization: Once the device reconnects to the internet, or when the user logs in again, these offline events are sent to our database.

As a result, you may see an increase in event values over time as offline events are processed and added to the data. This means that values for the same date range may grow as more data becomes available.

Benefits of This Approach:

• Maintain Data Accuracy: By recording events with their original timestamps, we ensure accurate reflection of all user actions, even if they occur while offline.

• Enhance Reliability: Storing events locally prevents data loss during temporary connectivity issues, providing a more complete view of user interactions.

This method allows us to deliver accurate and reliable data, accommodating users' varying connectivity conditions.