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ECO provides an easy-to-use interface and an advanced feature set that empowers industry-leading application performance analysis for both native and web applications.

Getting started with ECO is straightforward. After integrating with low-code solutions, you can utilize out-of-the-box metrics and metadata to monitor application performance metrics and explore dimensional attributes across your web and native application data.

Summary of what you can do:

Sensor Integration

Perform low-code integration of Conviva ECO sensor to enable automatic, and semantic-less data collection.

Perform These Tasks: ECO Sensors

Conviva ECO integration workflow, for example, for Android:

  1. Configure Gradle dependency.

  2. Initialize the tracker so that it auto-collects events, tracks application specific events, and disables event caching.

  3. Set the user id (viewer id).

  4. (Optional) Track application specific events and state changes.

For platform-specific app sensor integration instructions, refer to:

Using Trends

The Trends dashboard provides an easy-to-use interface with an advanced feature set that enables application performance monitoring and user behavior analysis within your applications.

Using out-of-box Metrics to Perform App Analysis

Conviva provides a set of out-of-box metrics, such as App Crashes, and Avg Screen Load Time, to help you quickly access application performance monitoring and user behavior analysis across your web and native applications. Using these metrics, view metric time series in the Trends metric widgets to discover time series performance patterns and anomalies. Also, in Trends drill-down across dimensional values in the dimension drill-down tables to discover impacts and root causes.

For the detailed definitions of out-of-box metrics, check ECO Metrics.

Perform These Tasks: View Image:

1. On the Trends page, select the time range, such as Last 24 hours, and select metrics based on your requirements. For example, selecting Avg App Startup Time, Avg Network Request Duration, Active Users, Screen Loads, Avg Screen Load Time, and App Crashes to analyze the app performance and user experience.

  
2. Check the metric widget time series and distributions for data insights and performance. Select and slice the data to drill down specific anomalies.

3. To get more comprehensive data, click a widget you want to know more about, and check the dimension table. For example, clicking the Avg Network Request Duration widget. Based on your requirements, check the different dimension tables under the different tabs.

  • Trends: displays the readings as per the applied primary and secondary filters. This helps you to analyze the data and check the anomalies if any.

  • Users: provides events and data, such as user ID, app name, country, and city, related to user activities. Click a client ID or a user ID to go to the user timeline for comprehensive and granular analysis of a session.

  • Network Request: displays network request-related data in a tree map format or table format. It helps you analyze the app performance and guide to enhance user experience.

Learn more: ECO Trends

Creating User Defined Metrics in Trends

Enable to create user defined metrics directly in ECO.

Using Presets

Offer pre-defined features as quick starting points for commonly used metrics and metadata use cases:

  • User Experience

  • Server Side Performance

  • Events

Perform These Tasks: View Image:

  1. Click Presets on the ECO.

  2. Select a preset use case from the displayed list.

  3. Check the preset page.

Learn more: Preset

 

  

 

Performing Drill-down Analysis

Use drill-down analysis to effectively analyze app issues, identify error messages, and gain insights into user behavior.

Perform These Tasks: View Image:

  1. Check metrics from the ECO dashboard.

  2. Explore dimensional data from the Dimension table.

  3. Deepen analysis with user timeline.

Learn more: Performing Drill-Down Analysis

Activating Data

ECO data activation enables you to map new events and create metrics to efficiently explore and manage the current application events for enhanced insights and do data analysis for more complex scenarios.

Mapping New Event

  • Map events as ECO trend drill-down entities to enable deeper analysis using dimensional drill-down.

  • Map events to create customized metrics.

Perform These Tasks: View Image:

  1. Click Map New Event on the Activation page from ECO.

  2. Specify the event name along with the tag key and tag value that consist of the mapped event.

  3. Select a suitable category, type the event name in the Set Mapped Event field, and then click Save.

  4. Click Deploy from the top right corner.

Learn more: Map New Event

       

Building Fully Customized Metrics

Customize metrics to analyze data for complex scenarios, such as analyzing the login process time.

Perform These Tasks: View Video:

  1. Click Metric Builder on the Activation page from ECO.

  2. Set the metric type and provide metric data, and then click Save from the bottom right corner of the Metric Builder page.

  3. Go to the Semantic Mapper page, and click Deploy from top right corner.

  4. Go to the ECO dashboard and make sure that the created metric is in the User Defined Metrics list.

Learn more: Metric Builder

Using Templates to Create Custom Metrics

Enable efficient custom metric creation with the assistance of pre-filled fields and commonly used event associations.

Perform These Tasks: View Image:

1. On the Welcome page, click View All Metric Templates.

2. From the use case list, select a required use case. In this case, choose Login Start to Success Conversion Rate. Click Create This Metric with Wizard

3. Fill out required fields with wizard and click Next Step to complete the two required events configurations. Define metrics and click Create.

       

4. Find the created metric in the User Defined list.

Learn more: Metric Builder

Setting Collection Rules for Network Requests

Set collection rules for conviva_network_request events. When the rules are configured, the Conviva sensor will collect events that match these rules. You can then select the collected events as raw data for mapping if necessary.

Perform These Tasks: View Image:

  1. To begin creating rules, click Add New.

  2. To set rules, fill out the fields in the right pane.

  3. Click Save. The Conviva sensor will collect the conviva_network_request events that match the rules.

Learn more: Configure Network Request

   

Viewing User Timeline

Drill down into session timelines for comprehensive and granular analysis of a session.

Perform These Tasks: View Image:

Access the user timeline for impacted viewers or by user id.

  • From the drill-down tables, select users tab to show the users impacted by the selected performance metric. Click the user name to go to the user timeline.

  • Click the User Timeline menu to access the user timeline page for specific user id.

Learn more: User Timeline

Using Custom Dashboards

Enable the combination of widgets and display options to highlight the insights that are most meaningful to your users and business.

Perform These Tasks: View Image:

  1. Click + New Dashboard, and select one or more data sources based on your requirements.

    • To use only app data, select Single Data Source and choose ECO from the Data Source list.

    • To use app data along with other types, such as VIDEO or AD, select Multiple Data Sources and choose ECO and other required data sources, such as VIDEO, from the Data Source list.

  2. In the edit mode, select the time range, and click New Widget.

  3. Fill out all required items, and click OK.

  4. Check the created dashboard.

  5. For complex analysis across different data displays, add more widgets following the same process.

Learn more: Custom Dashboards

   

  

    

  

Custom Metric Creation Use Cases

These use cases provide a hands-on way for you to quickly implement custom metrics using Metric Builder and other ECO features. The custom metrics in the use cases are commonly used for analyzing the application performance and user experience.

Full Sign-Up Time

The custom metric Full Registration Time measures the time from starting the registration or sign-up process until the registration is complete. This metric enables you to do analysis of registration process and identify whether the process is cumbersome.

Perform These Tasks: View Image:

1. Confirm mapped event(s) are available. If they are not, map event(s).

  • A mapped event that shows a user clicking a link, button, or loading a page to start the registration process. In the use case, the mapped event is Start_Registration.

  • A mapped event that shows the page load immediately following a successful registration. In the use case, the mapped event is Start_Registration.
2. Use Metric Builder to assign mapped events to the new metric, and click Save.
3. On the Semantic Mapper page, click Deploy.

4. Display the new metric in ECO.

  1. Navigate to the ECO page by clicking ECO from the main left menu.

  2. Click Metric and from the User Defined Metrics list, select the Full Registration Time metric.

  3. View the metric in the Trends dashboard and other ECO pages.

       

Full Login Time Monitoring

The custom metric Full Login Time measures the time taken for the entire login process, including the loading of the login form/page, user input of their username and password, form submission, and the subsequent loading of the page users are redirected to upon login. This metric is essential for analyzing application performance and identifying the root causes of slow login times.

Perform These Tasks: View preview image:

1. Confirm mapped event(s) are available. If they are not, map event(s).

  • A mapped event that shows either the button click event to load the login form/page or the page load event for the page containing the login form. In the use case, the mapped event is Login_Click.

  • A mapped event that shows the page load event that occurs immediately after a successful login. In the use case, the mapped event is Load_Home_Menu.
2. Use Metric Builder to assign mapped events to the new metric, and click Save.
3. On the Semantic Mapper page, click Deploy.

4. Display the new metric in ECO.

  1. Navigate to the ECO page by clicking ECO from the main left menu.

  2. Click Metric and from the User Defined Metrics list, select the Full Login Time metric.

  3. View the metric in the Trends dashboard and other ECO pages.

       

Time to First Play

The custom metric Time to First Play measures the time from when a user logs in to the system, until the user plays a video.

Perform These Tasks: View preview image:

1. Confirm mapped event(s) are available. If not, map event(s).

  • A mapped event that shows the page load immediately following a successfully logging in. In the use case, the mapped event is Load_Home_Menu.

  • This mapped event may vary based on whether you integrate the video sensor in your application. In the use case, the mapped event is Video_Start.

    • If you integrated the video sensor, use the predefined mapped event conviva_video_play.

    • If you do not integrate the video sensor, use a mapped even that shows a page load or button click indicating the start of video playback.
2. Use Metric Builder to assign mapped events to the new metric, and click Save.
3. On the Semantic Mapper page, click Deploy.

4. Display the new metric in ECO.

  1. Navigate to the ECO page by clicking ECO from the main left menu.

  2. Click Metric and from the User Defined Metrics list, select the Time to First Play metric.

  3. View the metric in the Trends dashboard and other ECO pages.

       

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