Products Metrics
Last updated
Last updated
You can learn more about how metrics are handled by visiting the Metrics page.
This metrics tab contains data about how your website's users interact with your products. Without selecting a product, account-wide metrics data for all your products will be displayed on this tab, selecting one product will restrict the displayed metrics data to the selected one and selecting more than one will generate a metrics comparison between the selected products.
This metric shows the number of times the selected products have been added to the cart in the defined time frame.
Example: In a context where you install an event on your website, intending to track products that have been added to the cart by your users. You also configure an action to track the product in the catalog for when this event happens. This metric shows how many times a product has been added to the cart, use this data to understand in which products your website's audience is more interested. This graph's defined time frame was 3 days, divided into 6h periods, represented as dots. You will notice that on June 24th, between 12 PM and 6 PM, there were nearly 400 products added to the cart.
This metric shows the number of times the selected products have been ordered in the defined time frame.
Example: In the case where you install an event on your website, intending to track products that your users have ordered. You also configure an action to track the product in the catalog for when this event happens, this metric shows you how many times the selected products have been ordered, use this data to understand in which products your website's audience is more interested. This graph's defined time frame was 3 days, divided into 6h periods, represented as dots. You will notice that on June 24th, between 12 AM and 06 AM, there were nearly 50 products ordered.
This metric shows the number of times the selected products were included in a recommendation in the defined time frame.
Example: In the context of using a recommendation model for a retargeting campaign, this metric will show you how many times a product was included in a recommendation, use this data to understand which of your products are being recommended on your banners. This graph's defined time frame was 3 days, divided into 6h periods, represented as dots. You will notice that on June 24th, between 12 AM and 6 AM the selected products were included on a recommendation nearly 4000 times.
This metric shows the number of times the selected products were visualized in the defined time frame.
Example: Suppose you have installed on your website a product view event, with an action of track in the catalog, these metrics will show you a count of how many times the selected products were viewed on your website. Use this data to understand in which products your audience is more interested, then create a recommendation model based on this data. This graph's defined time frame was 3 days, divided into 6h periods, represented as dots. You will notice that on June 24th, between 12 AM and 6 AM the selected products were visualized nearly 3000 times.
This metric shows the number of times the selected products' recommendations were clicked in the defined time frame.
Example: In case you have a campaign using a recommendation model, this metric will show you a count of clicks on your recommendations, this data will help you to measure your recommendation model efficiency, which will allow you to test different marketing strategies and observe how your audience is reacting on it. This graph's defined time frame was 3 days, divided into 6h periods, represented as dots. You will notice that on June 24th, between 12 AM and 6 AM, the recommendations were clicked 2 times.
This metric shows the number of times the selected products' recommendations were viewed in the defined time frame.
Example In the context where you have a campaign that is using a recommendation model to generate banners, this metric will show you a count of views on your recommendations, the data this metric provides is useful to understand if your recommendations are being viewed, furthermore, comparing this metric with the Recomendation Click Count metric will allow you to understand if your banner is interesting to your targeted audiences. This graph's defined time frame was 3 days, divided into 6h periods, represented as dots. You will notice that on June 24th, between 12 AM and 6 AM, the recommendations have been viewed nearly 4000 times.
These are all the metrics available in the Product feature for analyzing the performance of your products. Additionally, when checking metrics, you can always check our to access additional information about a specific metric.
