How to use Analytics

Boost Product Filter & Search analytics feature gives you the means to review your customers' navigation activities, get insights into your visitor shopping behaviors, and analyze their interactions.    


Analytics Overview dashboard

The dashboard shows the most valuable metrics that give you insight into the performance of your store and the behavior of your customers. The metrics are shown with interactive graphs where appropriate. For all the metrics, the percentage change from the previous date range can also be shown.

In the overview dashboard, you can do the followings:

    1
    Check the value of the most filter clicks, most popular filter options, and most frequently searched keywords.
    2
    Compare how much you made with the apps within a date range to a previous time.
    3
    See on which collection your customer interact with the most and which makes most sales.
    4
    Monitor the combinations of filter options most chosen, or search terms that return 0 result to improve your inventory data and business strategy.

14-day Filter & Search performance

After the first 14 days of gathering your customers filter, search & buying activities, the app will be able to render and report the key metrics as shown below:

Get the metric insights

    1
    To see the analytics of a date range, choose the date range on the Calendar. Enable Compare to see how well your customer is navigating on the store compared to the previous date range.
    2
    Navigate between the two tabs Collections Analytics and Search Analytics to read metrics
    3
    Select View details to see a metrics analytics information with more details.

The Collections analytics

    1
    Total filter clicks (in total and per specific collection)
    This number reflects the number of clicks on our filter trees. You will know on which collection do the customers interact with its filter the most, so you know which product collection they're paying attention to and what they're looking for.
    2
    Top filter option value (per specific collection)
    This is a list of the top option values selected by your customers (size X, color Black, etc.). This metric goes into detail of what exactly your customer is using to narrow down when browsing collections. You'll know what characteristic of products on your store that are being looked for the most.
    3
    Top filter value combination (per specific collection)
    This is a list of the combination of all option values selected (a combination of Size X, color Blue, vendor Chanel). This metric lets you know which combinations of product characteristics are most looked for.

The Search analytics

    1
    Top search terms
    This is a list of the search terms most entered by your customers. You will know what your customer is most likely to type directly into the search box and look for at your store.
    2
    Top search terms with no result
    This is a list of the search terms most entered by your customers, but they have no products available to return for the search results. With this metric, you'll be able to recognize what your customers might need but you don't have to provide, hence improve your product data or product inventory.
    3
    Total searches
    This number reflects how many times your shoppers use the store search box to look for products. You'll be able to monitor and configure better Search settings to enhance your user shopping experience.
    4
    Total filter clicks on search page
    This number reflects the number of clicks on our filter trees of the search result. You will know on which collection do the customers interact with its filter the most, so you know which product collection they're paying attention to and what they're looking for.
    5
    Top filter option value on search page (based on search term)
    This is a list of the top option values selected by your customers (size X, color Black, etc.). This metric goes into detail of what exactly your customer is using to narrow down after searching for something. You'll know what characteristics of products in your store are being looked for the most.
Note Analytics counts no-result redirects.

Still need help? Contact Us Contact Us