SYSTEMS AND METHODS FOR OPTIMIZING MARKETING DECISIONS BASED ON VISITOR PROFITABILITY
Marketing is facilitated based on a profitability prediction. A merchant optimizes offers to a website visitor based on predicted profit for potentially offered items. The profitability predication can be deployed to determine incentives to marketing affiliates, and to determine bids for search terms when the merchant uses a paid search bid manager. Information specific to a site visitor is used to predict a profitability metric for specific items that can be offered to that visitor.
1 . A method comprising:
receiving, by a computer-based system for optimizing bid amounts in a search auction, a trigger from a search auction host for bidding on search keywords used by a visitor corresponding to a product associated with a merchant;
determining, by the computer-based system, profitability metrics of the visitor corresponding to the product; and
optimizing, by the computer-based system, bids on the search keywords based, at least in part, on the profitability metrics.
2 . The method of claim 1 , wherein the determining the profitability metrics comprises:
sending visitor information to the merchant; and
retrieving the profitability metrics of the visitor from the merchant.
3 . The method of claim 1 , wherein the determining the profitability metrics comprises:
identifying one or more visitors similar to the visitor based upon visitor information for the visitor and the one or more similar visitors, and
estimating the profitability metric for the visitor with respect to the product based, at least in part, on profitability metrics of the one or more similar visitors.
4 . The method of claim 1 , wherein the optimizing the bids comprises:
determining expected value of the visitor corresponding to the product, wherein the expected value corresponding to the product equals multiplication of the profitability metric and a conversion rate for the product; and
optimizing bids on the search keywords based on the expected value.
5 . The method of claim 1 , wherein the product is one of a credit card, a loan, and an insurance scheme.
6 . The method of claim 1 , further comprising receiving visitor information in an application form related to the product.
7 . The method of claim 1 , further comprising determining an incentive to be paid to a marketing affiliate based on the profitability metric.
8 . The method of claim 1 , wherein the determining the profitability metric comprises:
retrieving financial data for the visitor using the visitor information; and
determining the profitability metric with respect to the product based, at least in part, on the financial data.
9 . The method of claim 1 , wherein the determining the profitability metrics comprises:
identifying one or more visitors similar to the visitor based on visitor information of the visitor and the one or more similar visitors; and
estimating the profitability metric for the visitor with respect to the product based, at least in part, on the profitability metric for the one or more similar visitors.
10 . The method of claim 1 , further comprising:
determining net present value of the visitor corresponding to the product, wherein the net present value corresponding to the product equals multiplication of the profitability metric and a conversion rate for the product; and
presenting product offers to the visitor in decreasing order of the net present value.
11 . An article of manufacture including a non-transitory, tangible computer readable medium having instructions stored thereon that, in response to execution by a computer-based system for optimizing bid amounts in a search auction, cause the computer-based system to perform operations comprising:
receiving, by the computer-based system, a trigger from a search auction host for bidding on search keywords used by a visitor corresponding to a product associated with a merchant;
determining, by the computer-based system, profitability metrics of the visitor corresponding to the product; and
optimizing, by the computer-based system, bids on the search keywords based, at least in part, on the profitability metrics,
12 . The article of claim 11 , wherein the determining the profitability metrics comprises:
sending visitor information to the merchant; and
retrieving the profitability metrics of the visitor from the merchant,
13 . The article of claim 11 , wherein the determining the profitability metrics comprises:
identifying one or more visitors similar to the visitor based upon visitor information for the visitor and the one or more similar visitors; and
estimating the profitability metric for the visitor with respect to the product based, at least in part, on profitability metrics of the one or more similar visitors.
14 . The article of claim 11 , Wherein the optimizing the bids comprises:
determining expected value of the visitor corresponding to the product, Wherein the expected value corresponding to the product equals multiplication of the profitability metric and a conversion rate for the product; and
optimizing bids on the search keywords based on the expected value.
15 . The article of claim 11 , further comprising:
determining net present value of the visitor corresponding to the product, wherein the net present value corresponding to the product equals multiplication of the profitability metric and a conversion rate for the product; and
presenting one or more product offers to the visitor in decreasing order of the net present value.
16 . The article of claim 11 , further comprising receiving visitor information in an application form related to the product.
17 . The article of claim 11 , further comprising determining an incentive to be paid to a marketing affiliate based on the profitability metric.
18 . The article of claim 11 , wherein the determining the profitability metric comprises:
retrieving financial data for the visitor using the visitor information; and
determining the profitability metric with respect to the product based, at least in part, on the financial data.
19 . The article of claim 11 , wherein the determining the profitability metrics comprises:
identifying one or more visitors similar to the visitor based on visitor information of the visitor and the one or more similar visitors; and
estimating the profitability metric for the visitor with respect to the product based, at least in part, on the profitability metric for the one or more similar visitors.
20 . A system comprising:
a processor for optimizing bid amounts in a search auction,
a tangible, non-transitory memory configured to communicate with the processor, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising:
receiving, by the processor, a trigger from a search auction host for bidding on search keywords used by a visitor corresponding to a product associated with a merchant;
determining, by the processor, profitability metrics of the visitor corresponding to the product; and
optimizing, by the processor, bids on the search keywords based, at least in part, on the profitability metrics.