Viewing Data Analytics

The analytics user interface provides approximately 140 predefined reports for data analysis and segment creation. These reports offer various filter options, including time period, lifecycle stage, product type, and other criteria specific to each report.

⚠️ Users require CRM analytics permission to view this section of the user interface.

Creating Segments From Data Analytics

For information about how to create a segment from data analytics, visit here.

Report Caching

When a report is loaded, it is cached for a minimum of 7 days, allowing for faster access to previously generated data. A label beside the report name indicates when the report was last cached.

To clear the cache and reload the report with current data, click on the label and remove the cached item. Running the report again will generate updated results based on the latest available data.

Comparing Report Results

The report comparison feature allows users to analyse multiple reports side by side, either by:

• Comparing the same report with different criteria.
• Comparing different reports within the system.

This feature is useful for evaluating key performance indicators (KPIs) across different verticals. For example, users can compare Net Gaming Revenue (NGR) across all verticals versus Casino NGR. Additionally, reports can be compiled into a comparison list for printing or sharing with team members.

Step-by-Step Guide to Comparing Reports

Select Reports for Comparison

1. Open the desired report.

2. From the options dropdown, click the green eye icon to add it to the comparison list.

   Example: Add NGR across all verticals to the list.

Modify and Add Additional Reports

1. Change the criteria of the report as needed.
2. Click Apply to generate the updated version.
3. Repeat the process for other reports or for the same report with different criteria.
4. For each report added, click the green eye icon to include it in the comparison list.

View and Compare Reports

1. Click Compare from the top toolbar.

2. A list of selected reports will appear.
3. On the right-hand side, a description of each report is provided for reference.

Print or Share the Comparison List

• Users can print all reports from the comparison list.
• Reports can also be shared with team members directly from the interface.

By leveraging the report comparison tool, users can efficiently analyse data trends, compare KPIs across different segments, and collaborate with team members using shared insights.

⚠️ Users can access the comparison list from the current browser only. Clearning the browser cache will delete all items in the comparison list.

Adding Reports to Favorites

The Favorites section in the Data Analytics interface allows users to quickly access frequently used reports. Reports can be added or removed from Favorites at any time, streamlining data analysis.

Step-by-Step Guide to Adding Reports to Favorites

1. Access the Report Options

• Navigate to the report you want to add to Favorites.
• Click the options dropdown next to the report.

2. Add the Report to Favorites

• Click the green star icon to mark the report as a Favorite.
• The report will be moved from its original section to the Favorites tab in the Data Analytics interface.

3. Remove a Report from Favorites

• To remove a report from Favorites, click the star icon again.
• The report will return to its original section.

⚠️ Reports are moved to the Favorites section, not copied, ensuring a clean and organised interface.

By adding frequently used reports to Favorites, users can enhance workflow efficiency, access key data more quickly, and simplify navigation within the analytics interface.

Filters in Data Analytics

Filters allow users to analyse data from different perspectives by refining reports based on specific criteria. Unlike traditional filters, this feature includes chart interactions, enabling users to select data points of interest directly from charts.

When applied, filters dynamically adjust all reports in the Data Analytics interface based on the selected criteria. This enables users to answer complex questions, such as:

"What are the favorite casino games of high-value customers within a specific age group and acquisition source?"

By selecting an acquisition source, an age group, and a high-tier NGR cluster, users can create a custom filter that updates all reports to display data only for the selected group.

Step-by-Step Guide

For detailed step-by-step instructions, visit Creating a Segment from Analytics.

Creating a Filter from a Player List

1. Click Filter Select on the top tool bar, then click the List icon.
2. Paste a comma-delimited list of player identifiers into the text area.
3. Assign a name to the filter.
4. Ensure the list does not exceed 10,000 identifiers.

Accessing a Saved Filter

1. Click Filter Select on the top tool bar.
2. Choose a saved filter from the dropdown list.
3. Click the green checkmark to apply the filter.

Deleting a Saved Filter

1. Click Filter Select on the top tool bar.
2. Choose a saved filter from the dropdown list.
3. Click the gray trash can icon to permanently delete the filter.

Additional Filter Options

Filters allow for flexible, data-driven insights, making it easy to refine reports, create targeted segments, and enhance decision-making for campaigns and player engagement strategies.

Suggested reads:

✅ Different categories available

✅ Creating a Campaign or Journey From Data Analytics