Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method to present missed revenue based on competitor data. The program and method provide for receiving indication of a user request to present missed revenue for at least one product made available for purchase by a website; determining a set of competitor products for the at least one product, each competitor product in the set of competitor products having a competitor product price; identifying, based on the determining, a first competitor product within the set of competitor products with a lowest competitor product price; calculating a missed revenue for the at least one product based at least in part on a difference between the product price and the lowest competitor product price for a given time period; and causing display of the missed revenue in association with the at least one product.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for presenting cross-sell products. The program and method provide for receiving indication of a user selection to display cross sell data for at least one product made available for purchase by a website; determining a set of cross-sell products for the at least one product, each cross-sell product in the set of cross-sell products having been previously sold together with the at least one product in association with website; determining, for each cross-sell product in the set of cross-sell products, a set of metrics that relate the cross-sell product to the at least one product; and causing, for each cross-sell product in the set of cross-sell products, display of the respective set of metrics that relate the cross-sell product to the at least one product.

Abstract: Systems and techniques may be used for determining insights related to hidden products on a website. For example, a technique may include receiving code corresponding to a website, and identifying products in the website. The technique may include determining a first set of products initially displayed and a second set of products initially hidden on the website among the products. The technique may include outputting an insight for at least one of the second set of products.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for presenting cross-sell products. The program and method provide for receiving indication of a user selection to display cross sell data for at least one product made available for purchase by a website; determining a set of cross-sell products for the at least one product, each cross-sell product in the set of cross-sell products having been previously sold together with the at least one product in association with website; determining, for each cross-sell product in the set of cross-sell products, a set of metrics that relate the cross-sell product to the at least one product, and causing, for each cross-sell product in the set of cross-sell products, display of the respective set of metrics that relate the cross-sell product to the at least one product.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method to present missed revenue based on competitor data. The program and method provide for receiving indication of a user request to present missed revenue for at least one product made available for purchase by a website; determining a set of competitor products for the at least one product, each competitor product in the set of competitor products having a competitor product price; identifying, based on the determining, a first competitor product within the set of competitor products with a lowest competitor product price; calculating a missed revenue for the at least one product based at least in part on a difference between the product price and the lowest competitor product price for a given time period; and causing display of the missed revenue in association with the at least one product.

Abstract: Systems and techniques may be used for product variant analysis. For example, a technique may include receiving pageview counts of specific variants of a product and identifying purchase information corresponding to each of the specific variants of the product. The technique may include aggregating the pageview counts and the purchase information of the specific variants. The technique may include determining an overall conversion rate for the product using the aggregated pageview counts and the aggregated purchase information, and outputting an insight for the product based on the overall conversion rate.

Abstract: Systems and techniques may be used for providing a conversion loss insight. An example technique may include collecting pageviews for a plurality of users at a website, identifying an out of stock item that appeared in a subset of the pageviews during a time period, and retrieving a unit price of the out of stock item and a conversion rate corresponding to the out of stock item during the time period. The technique may include determining a loss indicator corresponding to lost revenue due to the out of stock item based on the subset of the pageviews, the unit price, and the conversion rate. The loss indicator may be output.