Detail Analysis

Detail Analysis Report

Detail Analysis Report:

This report provides comprehensive insights into the performance of ad campaigns, including metrics such as impressions, clicks, click-through rates (CTR), conversions, and more. It offers detailed breakdowns of performance by various dimensions such as geography, demographics, and devices. Brands can use this report to assess the effectiveness of their campaigns, identify areas for improvement, and make data-driven decisions to optimize their advertising efforts.

The Detailed Analysis Report is designed for an in-depth examination of campaign data, allowing users to view both current and historical data across multiple dimensions. This report provides various filtering options, enabling users to analyze performance metrics based on specific combinations of attributes such as brand, campaign, device, geography, and more. It closely resembles the Campaign Summary and Targeting views, with added flexibility for custom analyses.

Please Note: The date range selected in the report follows the GMT zone. Meaning, that all the numbers generated between 00:00 GMT to 24:00 GMT are shown against the selected date. The time range for different time zones can be different. For example, in IST, the numbers for a selected date are captured between 5:30 AM IST and to next day 5:30 AM IST.

Key Filters and Options

The report includes the following filter options, each with default settings and dependencies:

1. Brand

   • Description: Dropdown list of brands associated with the selected account.

   • Default Value: "ALL" (shows data across all brands).

2. Campaign

   • Description: Dropdown list of campaigns linked to the selected brand.

   • Default Value: "ALL" (shows data across all campaigns).

3. Delivery Channel

   • Description: Selection of the campaign’s delivery channel. For DIY accounts, the default delivery channel is Native.

   • Default Value: "Native".

4. Strategy

   • Description: Dropdown list of strategies available within the selected brand.

   • Default Value: "ALL" (shows data across all strategies).

5. Device

   • Description: Dropdown for device type, allowing users to filter data by device (e.g., laptop/desktop or mobile).

   • Default Value: "ALL" (includes all device types).

6. Geo

   • Description: Dropdown for geographic targeting, allowing users to filter data by location (Country, State, City).

   • Default Value: "ALL" (includes all geographic levels).

7. Creative

   • Description: Dropdown list of creatives associated with the selected campaign.

   • Default Value: "ALL" (shows data across all creatives).

8. Ad Copy

   • Description: Dropdown for ad copies under the selected creative, allowing for detailed analysis by specific ad copy.

   • Default Value: "ALL" (shows data across all ad copies).

9. Placement

   • Description: Dropdown list of placements within the campaign.

   • Default Value: "ALL" (shows data across all placements).

10. Group By

    • Description: Multi-select dropdown enabling users to organize and segment the data by multiple dimensions, such as Date, Device, Geo, brand, campaign, creative, ad copy etc.

    • Default Value: "Date".

    • Details: Users can select up to 3 dimensions to group the data. The data displayed in the table will adapt according to the selected values.

11. Date Filter

    • Description: Date selection dropdown for filtering data by specific date ranges.

    • Default Value: Current date.

    • Details: Users can select any date up to the current date to view historical data.

Using the Detailed Analysis Report

1. Accessing the Report:

   • Navigate to the Detailed Analysis Report section in the analytics dashboard.

   • The report view will be similar to the Campaign Summary and Targeting views, providing a familiar layout with added filtering flexibility.

2. Selecting Filters:

   • Start with Brand and Campaign filters to narrow down data at the campaign level.

   • Apply filters in other fields (such as Device, Geo, Creative, etc.) for a more focused analysis.

   • Use the Group By field to define up to three data dimensions for segmented views.

3. Viewing Data by Custom Combinations:

   • The report will adapt to the selected filters and Group By combinations, displaying data according to the selected hierarchy.

   • For example, grouping by Date, Device, and Geo will show a breakdown of campaign performance by each date, device, and geographic location.

4. Exporting or Saving Views:

   • Users can export or save specific filtered views for reporting purposes, enabling quick access to customized analysis in future sessions.

Best Practices

• Leverage "Group By" Selections: Use the multi-select "Group By" option to segment data by the most relevant dimensions for your analysis goals, such as device type or geographic region.

• Use Date Filters for Trend Analysis: Apply date filters to analyze trends over time, especially when tracking the impact of recent campaign adjustments.

• Combine Filters for Granular Insights: Applying multiple filters, such as Brand, Campaign, Device, and Geo, allows for deeper insights, making it easier to identify performance trends and areas for optimization.

Summary

The Detailed Analysis Report is an essential tool for users seeking a granular view of campaign performance across multiple dimensions. With customizable filters and grouping options, users can analyze data based on specific combinations of brand, campaign, device, geo, and more, allowing for data-driven decision-making and precise targeting adjustments.