System, method and computer program for varying affiliate position displayed by intermediary

A computer program product comprising at least one non-transitory computer readable medium storing instructions, the instructions when translated by at least one processor causing a dealer pricing system to perform:

• determining:
• a per-unit revenue realized by a dealer when an item is sold;
• a per-unit cost to the dealer for the item;
• a number of leads for the item in a geographic unit;
• an amount of inventory of the item the dealer is able to sell;
• a probability of the dealer closing a sale on the item to a customer from the geographic unit utilizing a regression model expressed relative to a set of exogenous features not controlled by the dealer and a set of endogenous features over which the dealer has control, wherein the probability of the dealer closing the sale is a function of a weighted sum of values corresponding to the set of exogenous features and the set of endogenous features;
• an expected number of sales as a function of the amount of inventory of the item the dealer is able to sell, times the number of leads for the item in the geographic unit and the probability of the dealer closing the sale on the item to the customer from the geographic unit;
• and
• a total amount of gross margin for the dealer as a function of the expected number of sales times the difference between the per-unit revenue realized by the dealer when the item is sold and the per-unit cost to the dealer for the item;
• and
• providing a visualization function through a user interface on a client device associated with the dealer, the visualization function provided by the dealer pricing system configured for visualizing effects of a plurality of metrics, the plurality of metrics including at least two of a display rank, the number of leads for the item in the geographic unit, the expected number of sales, or the total amount of gross margin for the dealer, the visualization function providing the dealer with an ability to select any endogenous feature over which the dealer has control and determine, through the effects visualized by the visualization function in a data structure or graph on the client device associated with the dealer, how varying a value of a selected endogenous feature changes the plurality of metrics.

A dealer pricing system, comprising:

• at least one processor;
• at least one non-transitory computer readable medium;
• and
• instructions embodied on the at least one non-transitory computer readable medium, the instructions when translated by the at least one processor causing the dealer pricing system to perform:
• determining:
• a per-unit revenue realized by a dealer when an item is sold;
• a per-unit cost to the dealer for the item;
• a number of leads for the item in a geographic unit;
• an amount of inventory of the item the dealer is able to sell;
• a probability of the dealer closing a sale on the item to a customer from the geographic unit utilizing a regression model expressed relative to a set of exogenous features not controlled by the dealer and a set of endogenous features over which the dealer has control, wherein the probability of the dealer closing the sale is a function of a weighted sum of values corresponding to the set of exogenous features and the set of endogenous features;
• an expected number of sales as a function of the amount of inventory of the item the dealer is able to sell, times the number of leads for the item in the geographic unit and the probability of the dealer closing the sale on the item to the customer from the geographic unit;
• and
• a total amount of gross margin for the dealer as a function of the expected number of sales times the difference between the per-unit revenue realized by the dealer when the item is sold and the per-unit cost to the dealer for the item;
• and
• providing a visualization function through a user interface on a client device associated with the dealer, the visualization function provided by the dealer pricing system configured for visualizing effects of a plurality of metrics, the plurality of metrics including at least two of a display rank, the number of leads for the item in the geographic unit, the expected number of sales, or the total amount of gross margin for the dealer, the visualization function providing the dealer with an ability to select any endogenous feature over which the dealer has control and determine, through the effects visualized by the visualization function in a data structure or graph on the client device associated with the dealer, how varying a value of a selected endogenous feature changes the plurality of metrics.