System and method for determining an attractiveness value of a product displayed on an online platform, and generating insights respective thereof

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• identifying, by a processor, a plurality of products displayed in a zone of a webpage;
• displayed in a plurality of zones included in a webpage;
• determining key performing indicators (KPI) for each product of the plurality of products, wherein the determined KPI comprise a number of user selections of product references associated with each product and a conversion rate associated with each product, wherein the user selections are received from a plurality of user computer devices;
• and
• causing display of a graphical user interface on a client device, the graphical user interface comprising the plurality of products, the determined KPI for each product of the plurality of the products, and a recommendation, wherein the recommendation comprises an advertising strategy for the plurality of products.

A system comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to perform operations comprising:
• identifying, by a processor, a plurality of products displayed in a zone of a webpage;
• displayed in a plurality of zones included in a webpage;
• determining key performing indicators (KPI) for each product of the plurality of products, wherein the determined KPI comprise a number of user selections of product references associated with each product and a conversion rate associated with each product, wherein the user selections are received from a plurality of user computer devices;
• and
• causing display of a graphical user interface on a client device, the graphical user interface comprising the plurality of products, the determined KPI for each product of the plurality of the products, and a recommendation, wherein the recommendation comprises an advertising strategy for the plurality of products.