Trend Analysis

Trend Analysis Report

The Trend Analysis Report provides users with a time-based view of campaign performance, allowing detailed analysis of data by hour. This report enables users to analyze trends over the last 24 hours, current data, or historical data, offering flexibility to assess performance patterns at a granular, hourly level. This feature is especially useful for identifying peak engagement times, understanding audience behavior, and making timely adjustments to optimize campaign performance.

Key Features and Functionality

1. Data Timeframe Options:

   • 24-Hour Data: Analyze performance over the past 24 hours, providing a snapshot of the most recent activity and trends.

   • Current Data: View up-to-the-moment performance data, giving real-time insights to enable quick adjustments.

   • Past Date Data: Select specific past dates to review hourly data, which helps in understanding long-term trends or comparing performance across days.

2. Time Format:

   • The data is organized and displayed by the hour, allowing users to view performance trends for each hour within the selected date range.

   • This format enables the identification of high and low engagement times, helping in decision-making around ad scheduling and bid adjustments.

Trend Analysis

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. Time

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

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

   • 00 hr represents 5:30-6:30 and so on.

2. Brand

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

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

3. Campaign

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

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

4. Delivery Channel

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

   • Default Value: "Native".

5. Strategy

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

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

6. 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).

7. Geo

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

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

8. Creative

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

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

9. 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).

10. Placement

    • Description: Dropdown list of placements within the campaign.

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

11. 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.

12. 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 Trend Analysis Report

1. Accessing the Report:

   • Open the Trend Analysis Report from the analytics dashboard.

   • Choose the desired timeframe (24-hour, current, or past date).

2. Applying Filters:

   • Select the relevant filters, starting with Brand and Campaign, to narrow down data to specific segments.

   • Use other filters (Device, Geo, Creative, etc.) to further focus the analysis on specific dimensions.

3. Viewing Data Hourly:

   • The report will display data in hourly increments based on the selected date range.

   • This layout allows for easy identification of engagement patterns across different hours of the day.

4. Interpreting Trends:

   • Use the hourly breakdown to assess when performance peaks and troughs occur.

   • Leverage these insights to adjust bid strategies, ad scheduling, or target audience settings for optimal results.

Best Practices

• Analyze Peaks and Valleys: Identify peak hours when audience engagement is high, and consider increasing bids or ad frequency during these times.

• Use Past Data for Comparison: When analyzing current data, refer to past dates to compare and understand seasonal or campaign-specific trends.

• Optimize Ad Scheduling: Use hourly data to adjust campaign schedules, ensuring ads are shown during high-engagement hours while reducing spend during off-hours.

Summary

The Trend Analysis Report enables users to perform hourly analysis of campaign performance, using 24-hour, current, or past date data. With various filtering options, users can gain detailed insights into when their campaigns are most effective, allowing for data-driven adjustments that optimize ad reach and engagement throughout the day.