# Trend Analysis
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.
