Catalog Explorer allows you to analyze your product inventory on a general or granular level. These insights can either be used within Nosto or exported as a .csv file for further use.
You can use Catalog Explorer to review stock levels, discounts and product variants in order to inform catalog related decisions. Merchants can easily sort, filter and configure the product data presented - for instance, to determine which products:
Are the bestsellers
Are discounted
Have the best conversion rate
Have inventory left and for how long
Are the most profitable
Have the highest or lowest estimated daily sales
Have inaccurate product data
On a single product level, Catalog Explorer also provides visibility to the product relationships formed within Nosto: which products were viewed and which ones were bought together. In addition, Catalog Explorer easily exposes any issues with product data - such as metadata, images or pricing - that might impact campaign performance and customer experience.
Manipulating the data table
There are multiple different controls at your disposal to interact with the data table and associated product listing.
Filtering the products
You can get started with filtering by clicking the “filter” button next to the search bar on the left side of the main content area. This opens up a modal where you can filter products based on multiple criteria: such as Brand, Inventory Level, Conversion Rate % or Gross Margin %.
You can view a full list of attributes and metrics in our glossary of product attributes and performance metrics.
Configuring the columns
Using the configure dialogue button, you can modify the columns that are visible when analyzing the data. This allows you to zoom in and out based on the data points you are interested in at that time.
For example, if you are looking for which of your discounted products are selling out the fastest, it would make sense to filter the products by their Discount Status or by a Campaign Tag. However, configuring the columns to showcase the Gross Margin, Sales Velocity and Days left of Inventory will allow you to actually analyze the current performance.
You can view a full list of attributes metrics in our glossary of product attributes and performance metrics.
Exporting your configured selection
When exporting as CSV you can choose to export all the columns, or only the ones selected through the configure modal. The filtering will persist if active, leading to the export only including a filtered list of products based on your selection criteria.
The CSV file will be sent to the email address that you are currently using to log in to Nosto.
Applying mass-actions
When selecting products in the data table, you can apply mass actions to quickly execute tasks on your chosen products.
You can read more about these mass actions in these articles:
Single-product page view
The single product view allows you to zoom into the performance and current data integrity of a single product. Product attributes are fetched from your ecommerce platform, whereas the key performance metrics are calculated based on interaction signals and through order content.
You can view a full list of attributes and metrics in our glossary of product attributes and performance metrics.
Exporting, excluding a product and updating a product
The interactive buttons at the top right of the page function in a similar fashion as the mass action buttons on the data table:
Export as CSV will send all information about this product in a csv file to your associated email address.
Excluding a product will restrict it from being show in all Nosto products (except Category Merchandising).
Updating a product will fetch its current, up-to-date information. This can be done manually if you notice that some field is lagging behind, but this is also done automatically.
Product relationships
Nosto calculates product relationships based on how customers move between certain products and interact with them. These interactions include viewing, clicking, adding products to cart, purchasing and combining these interactions between the current, next and following products.
You can preview the viewed together and bought together relationship types at the bottom of the single product page. These reflect the current relationships and is inline with what you should expect if you enable a cross-selling recommendation in onsite or in emails.