Filters in Performance dashboards
The filtering option is a key feature of Performance dashboards that enhances your analysis capabilities. Filters allow you to refine data, making it easier to analyze specific segments and gain valuable insights.
You can use the following filtering options on your performance dashboards:
Click the filter icon on the top of your screen to activate the function. Customer and Event filters will appear as a drop-down menu. This two filter options are available for all Performance dashboard types .
You can find Reliable opens and clicks filter in Email engagement and Email campaign evaluation dashboards. Hover over Click through rate from delivered or Click through rate from opened metrics. Click the checkbox to activate the filter.
Customer filter
Customer filter in Bloomreach Engagement allows you to filter customers based on their attributes or events. This helps you view performance metrics for a particular segment, making it easier to analyze and target specific groups.
Customer filter examples
1. High-value customers analysis
Identify and target your most valuable customers.
Example: Filter by total_price > 1000 to find customers who have spent more than $1000.
2. Geographic analysis
Use the customer filter to view metrics for customers in particular locations.
Example: Filter by city = 'New York' to focus on customers in New York.
3. Recent visitors analysis
Analyze customers who interacted with your website recently.
Example: Filter by session_start date within the last 30 days to target customers who visited your website in the last month.
Event filter
Event filters allow you to analyze revenue data on your dashboard based on purchase attributes. This feature helps you investigate specific segments of purchases, such as filtering by currency or excluding transactions with a total price of zero.
Event filter examples
1. Currency analysis
Apply the purchase filter to include only transactions made in a specific currency.
Example: Filter by currency USD to see revenue generated from purchases made in US dollars.
2. Discount campaign analysis
To evaluate the impact of a discount campaign, you might want to exclude purchases made with a total price of zero.
Example: Filter by total_price > 0 to focus on transactions that generated revenue.
3. Payment method analysis
To understand how much revenue comes from a specific payment method, filter purchases to analyze which method is the most popular one.
Example: Filter by payment_method = 'apple pay' to see metrics related to purchases via Apple pay method.
Reliable opens and clicks filter
Reliable opens and clicks filter helps you see how people engage with your content. You can choose to view metrics based on reliable clicks and opens or those that include unreliable data. Switching between the two types of data lets you get a clearer picture of your actual performance.
Example: Enable Reliable opens and clicks filter to exclude bot interactions and get accurate metrics.
This feature is available in Email engagement and Email campaign evaluation dashboards. The Reliable opens and clicks filter complements the Data cleaning function available in Revenue attribution settings.
Updated about 4 hours ago