Filters

Filters allows you to organize and categorize your data with precision. By defining filters, you can segment your metrics into specific categories, making it easier to analyze and visualize data based on distinct criteria. For example, you can create a filter category called Countries and add filters like Canada, USA, France, etc., to push data into these specific segments.

Filters help you refine your data for more granular insights. Use them to categorize, segment, and analyze metrics effectively.

How Filters Work

Filters are a powerful way to refine your data. They enable you to:

Categorize Data: Group data into meaningful segments (e.g., by country, device, or user type).
Segment Metrics: Analyze specific subsets of your data (e.g., revenue from the USA or API performance for mobile devices).

Creating and Using Filters

Define a Filter Category

Go to the selected metric page in your dashboard.
Click Filter Manager.
Click Create Category.
Name your category (e.g., “countries” or “devices”).
Add filters (e.g., “canada, usa” or “mobile, desktop”).

Push Data to Filters

Use the Measurely SDK or API to push data to specific filters.
For example, when tracking revenue, you can assign data to the “USA” filter in the “Countries” category.


measurely.capture("metric-identifier", {
  value: 100,
  filters: {
    countries: "usa",
    devices: "mobile",
  },
});

Analyze Filtered Data

Navigate to your selected metric page.
Select filters on the charts to visualize data for specific segments.

Example Use Cases

Geographic Analysis: Use a “Countries” filter to track metrics like revenue or user activity by region.
Device Segmentation: Create a “Devices” filter to analyze performance or engagement across mobile, desktop, and tablet users.
User Types: Use a “User Type” filter to differentiate between free and premium users in your metrics.

⚠️

Ensure your filters are well-defined and consistent to avoid data fragmentation or misclassification.