MULTI-OBJECTIVE OPTIMIZATION FOR ALLOCATION OF ADVERTISING RESOURCES

• US 20100082392A1
• Filed: 09/30/2008
• Published: 04/01/2010
• Est. Priority Date: 09/30/2008
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Yang, Jian, Tomlin, John
• Application Number:
  US12/241,657
• Publication Number:
  US 20100082392A1
• Time in Patent Office: Days
• US Class Current: 705/8
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives

Abstract

An advertising distribution system mediates and distributes advertising opportunities, especially insertions of ads on web pages, according to advertisers'"'"' representative targeting profiles. The number and characteristics of future ad impressions is forecast. A portion is allocated to guaranteed-delivery advertiser contracts and the remainder is offered on a spot market. A division between guaranteed and spot market allocations is sought to maximize revenue, taking into account a value associated with meeting the advertisers'"'"' representative profiles. The value of representativeness can be inferred from the marginal revenue of a spot market sale, and optionally weighted. The guaranteed and spot market revenues for all possible efficient allocations produces a curve. An operating point on the curve is determined by selecting a weighting factor or selecting a proportion of total revenue that shall be attributable to representativeness.

Claims

1. A method for allocating supply and demand in connection with delivering value in exchange for revenue, comprising the steps of:

defining a plurality of supply increments that form a total supply to be allocated to meet demand increments, wherein the demand increments fall into at least two distinct categories having at least one of quantities and revenues that differ between said categories;

projecting by computer data processing steps a relationship of at least one of the quantities and revenues for allocating the total supply between one and the other of the at least two distinct categories, wherein the proportions range from zero to a maximum proportion of the total supply, wherein a sum of projected quantities for all said proportions equals the total supply, wherein the relationship defines a range of possible proportions of allocation between the two categories, and wherein the relationship is represented by data stored in a computer data memory;

imposing at least one goal on the relationship, wherein the goal determines a point in the relationship that corresponds to a particular proportion in said relationship of quantities and revenues; and

,

allocating the supply increments to the demand increments at said particular proportion by at least one of storing in the computer data memory a planned allocation and transmitting data identifying an actual allocation that causes delivery of the supply increments.

2. The method of claim 1, wherein allocating the supply increments to the demand increments is constrained by at least two objectives, wherein one of the objectives is to maximize an extent to which characteristics of the supply increments that are allocated match requirements of the demand increments to which the supply increments are allocated, and a second one of the objectives is to maximize a total revenue, and wherein the objectives are embodied in programming that at least partly controls the computer data processing steps.

3. The method of claim 2, further comprising encoding the characteristics of the supply increments and the requirements of the demand increments according to at least one measure that enables discrimination of candidates for allocation from among the supply increments that meet the demand increments.

4. The method of claim 3, wherein the measure includes representativeness of the supply increments to the demand requirements and further comprising characterizing the supply increments and the requirements of the demand increments according to values for a plurality of variables, rating the candidates for allocation among the supply increments by comparing values of at least a subset of the variables, and storing a result thereof in the computer data memory for use in allocating the supply increments to the demand increments.

5. The method of claim 3, wherein the demand requirements include distribution of at least one subset of the supply increments over users according to a range of user characteristics, and further comprising allocating according to said distribution.

6. The method of claim 2, wherein the supply increments comprise advertising impressions, further comprising projecting a number and character of said advertising impressions expected to become available at a future time, and wherein one of the categories of demand increments comprises a contractually committed portion of the advertising impressions that are expected to become available and an other of the categories of demand increments comprises an additional portion of advertising impressions that actually become available.

7. The method of claim 6, further comprising establishing from the allocation a limit restricting contractual commitment of the advertising expected to become available according to said particular proportion, storing an indication of said limit, and controlling subsequent contractual commitment SO as to remain within the limit.

8. The method of claim 6, wherein imposing the goal on the relationship comprises weighting values of advertising impressions in the two categories, determining a weighted sum of the values at each point in the relationship defining the range of possible allocations, and obtaining and storing an indication of said particular proportion according to the weight.

9. The method of claim 8, further comprising inferring, from a revenue associated with sale of an ad impression in the additional portion, a monetary value of said extent to which the characteristics of the supply increments match the requirements of the demand increments, factoring said inferred monetary value into the relationship of the quantities and revenues, and obtaining and storing an indication of said particular proportion according to the inferred monetary value.

10. The method of claim 9, further comprising weighting a relative importance of said revenue and said extent to which the characteristics match, by selecting a weight factor that favors one of the revenue and the extent in said relationship.

11. The method of claim 9, further comprising weighting a relative importance of said revenue and said extent to which the characteristics match, by selecting a proportion of total revenue that shall be attributable to the extent to which the characteristics of the supply increments match the requirements of the demand increments, said proportion corresponding to an operating point in said relationship, and further comprising storing an indication of said operating point and controlling said allocating to seek the operating point.

12. An ad distribution system for mediating a market of advertising impressions offered by media outlets to supply a demand of advertisers for advertising impressions that meet advertiser representative advertising profiles, comprising:

a data processing system having a forecasting subsystem operable to generate a forecast of a number and character of ad impressions that are expected to become available to at least one media outlet, a first contracting subsystem operable to commit a first portion of the forecast to predetermined advertising obligations, and a second contracting subsystem operable to submit a remaining second portion of the forecast for later sale;

wherein the data processing system includes an optimization subsystem operable to allocate respective proportions of the forecast number of ad impressions to the first and second portions, the optimization system establishing a relationship of at least one of quantities and revenues resulting from allocating the total supply more or less to one or the other of two categories that include said predetermined advertising obligations and said later sale, the relationship defining a range of possible proportions of allocation between the two categories;

imposing at least one goal on said relationship, wherein the goal determines a point in the relationship that corresponds to a particular proportion in said relationship of quantities and revenues;

wherein the data processing system is programmed to produce, store and output indicia controlling application of the ad impressions in said particular proportions.

13. The data processing system of claim 12, wherein imposing the goal on the relationship comprises weighting values of ad impressions in the first portion and ad impressions in the second portion, and determining a weighted sum of the values at each point in the relationship defining the range of possible allocations.

14. The data processing system of claim 12, wherein the optimization subsystem is programmed to determine, from a revenue associated with sale of an ad impression in the second portion, a monetary value of an extent to which characteristics of ad impressions committed to the first portion match the advertiser representative profiles.

15. The data processing system of claim 14, wherein a relative importance of said revenue and said extent to which the characteristics match, is determined in part by selecting a weight factor in said relationship, that favors one of the revenue and the extent to which said characteristics match.

16. The data processing system of claim 15 wherein a relative importance of said revenue and said extent to which the characteristics match, is determined in part by selecting a proportion of total revenue that shall be attributable to the extent to which the characteristics of the supply increments match, said proportion corresponding to an operating point in said relationship.