Trends
Understand how users are using your app/ website with Trends.
Overview
Trends helps you track how your events and their attributes change over time. It gives you a combined table-and-graph view so you can compare segments, analyse patterns, and understand how user actions evolve over time. With selectable attributes and an interactive chart, Trends makes it easy to spot shifts, identify spikes, and monitor performance with accuracy.
With trends, the user can do the following:
- Track how events perform over a selected time period.
- Drill down into attributes such as location or device to compare segments.
- Toggle attributes on or off to customize the graph view.
- Analyze daily counts and averages in a detailed table format.
- Identify spikes, drops, and behavioural patterns with an interactive graph.
Create Trend
Create Trend
Follow the steps given below to create Trends:
- Log in to the Netcore CE dashboard and navigate to Analytics.
- Click Trend > CREATE TREND.
| Elements | Description |
|---|---|
| Duration | Select the number of days for which the Trend is to be analysed.
|
| Audience | Select from the dropdown any of the following options.
|
| Event | Select event(s) that a user must perform to qualify for analysis. ### Select your desired events from the dropdown. You can add up to 6 events. Select the Source type from the dropdown. The options include:
Click Specify payload parameter to add specific parameters for your events. You can add up to 5 payload parameters. Split by: Split the event data using a specific attribute (such as city or category) to compare performance across each value. Example: You want to see how users view products across your website and app. You select Product View as the event and choose Any Source to include data from both platforms. By using Split by: product category, the views are organised into groups such as Electronics, Fashion, and Home. This helps you compare which categories get the most product views. Once done, click Apply. |
You can further break down the combined dataset using Drilldown.
Drilldown
The drilldown feature lets you delve into user Trends by examining specific attributes or event payload parameters. This functionality enables you to create precise and impactful marketing campaigns.
Drilldown by Specific Attributes
- Access the Drilldown option located above the chart/graph.
- Select from the dropdown menu. The functionalities available here are:
- User Attributes
- Technographic
- Predictive Attributes
Refer to the table below to know about the functionality present under drill-down.
| Functionality | Definition | Use Case | Example Scenario | Insights |
|---|---|---|---|---|
| User Attributes | Breaks down event trends using user-level properties such as gender, city, state, or country. | Helps identify which user segments are most engaged or underperforming. | You drill down Product View by STATE to view activity from Maharashtra, Karnataka, and Delhi. | Shows which states contribute the highest product views, helping refine geo-targeted campaigns. |
| Technographic | Breaks down trends based on device, OS version, app version, or browser details. | Helpful in identifying performance issues or optimizing experiences for specific platforms. | You drill down Add to Cart by App Version to view if older app versions show lower conversions. | Helps identify version-specific drop-offs and prioritize app updates or fixes. |
| Predictive Attributes | Breaks down trends using AI-driven attributes such as category affinity or brand affinity. | Supports personalization by highlighting users most likely to engage with specific categories. | You drill down Product View by Category Affinity to view users with high interest in Electronics, Fashion, etc. | Reveals which affinity groups drive the most engagement, enabling targeted recommendations. |
Understanding the Metrics
You can view the metrics in a graph displayed daily, weekly, or monthly. Hover over the graph to see accurate values for each metric.
The graph displays user activity over time:
- X-axis: Time buckets (Day, Week, Month) based on the selected event.
- Y-axis: The chosen Measure By metric (Total Events, Unique Users, and so on)
How to use the graph?
- Hover on any point to see exact values.
- Use the legend to hide/show specific lines.
- Change the Measure By metric to view different perspectives on the same events.
Explore Events Performance using Graph
Each attribute listed in the table can be visualized on the graph by selecting its checkbox. Once selected, the graph updates instantly to display the data for that attribute.
You can also control visibility directly from the graph legend. Clicking a legend header applies a strikethrough and hides that event from the graph, allowing you to focus only on the metrics you want to analyze.
For example, when viewing the First App Launch event and drilling down by States, selecting Rajasthan will update the graph to show its trend line. Deselecting it will remove the data from view.
This flexible interaction makes it easy to compare attributes and analyze event behaviour with accuracy.
Trends Table
Explore Event Performance using Trends Table
The Trends table gives you a detailed breakdown of how an event performs over time. Each row represents either the overall event or a specific attribute (such as a state, city, or category) based on the drill-down you selected.
Note
Each row in the table represents either:
- An entire event (if no Split By/Drilldown is applied), or
- A specific attribute value (for example, City = Mumbai), or
- A combination of Split By + Drilldown (for example, Category = Shirts / City = Mumbai).
Refer to the given table to know the features you must know when using the Trend table.
| Feature | Description |
|---|---|
| Sorting | The table automatically sorts rows by the Average column in descending order. |
| Search | Helps you find specific attribute values such as a city, category, or device. |
| Scroll | Vertical scroll is available when the list contains many rows. |
| CSV Download | Exports the complete table data for offline analysis or reporting. |
Refer to the given table to know the columns available in the Trend table.
| Column | Description |
|---|---|
| Event | Name of the event included in the Trend analysis. |
| Attribute | Displays the Split By value, Drilldown value, or a combination of both (e.g., Category / City). Each attribute includes a checkbox that lets you control what appears on the graph. - When the checkbox is selected, the attribute’s trend line appears on the graph. - When it is unchecked, the attribute is removed from the graph. |
| Average | The average value of the selected metric (e.g., Avg Total Events) across the chosen time range. |
| Date / Time Columns | One column per time bucket (Day, Week, or Month) showing the metric value for each interval. |
| Selection Checkbox | Controls whether the row appears on the graph. Selected rows are plotted as individual trend lines. |
This makes it easy to compare multiple attributes, spot anomalies, and analyze how different segments behave across the selected timeframe.
Trends Listing Page
The Trends Listing Page provides a consolidated view of all the saved Trends. It helps you locate, review, and manage existing Trend reports. From this page, you can search for a Trend by name, view its configuration (events, duration), check when it was created or last modified, and delete reports that are no longer needed. Use Create Trend to set up a new Trend analysis.
Refer to the given table to view the available column headers.
| Header | Description |
|---|---|
| Trend name | The name given to the saved Trend view. Click to open and see the full Trend configuration and results. |
| Events | The list of events included in the Trend analysis. Shows the primary behavioural events used to generate the graph and table. |
| Trend duration | The date range selected when the Trend was created. |
| Created on | The date when the Trend view was originally saved. |
| Modified on | The most recent date on which the Trend view was updated or edited. |
| Delete | Allows you to remove the saved Trend permanently. |
Updated about 4 hours ago