Advertising model
Tiered advertisement bidding is disclosed. One or more quality metrics associated with a user profile are determined. An advertisement bid is selected from a plurality of tiered bids based at least in part on the determined quality metrics. Determining the quality metrics can include determining a conversion assessment. Determining the quality metric can also include determining whether a need associated with a user profile has been met for a category. In some cases, persona detection is performed with respect to the user profile.
1. A system, comprising:
a processor configured to:
determine an identifier associated with a client device, wherein the identifier associated with the client device comprises at least one of an HTML, cookie, a cache cookie, or a user agent;
determine a first need associated with a first product and the identifier;
obtain, at least in part by accessing a repository, a record comprising user account information and user context information associated with the identifier, wherein the record comprises information that is at least partially anonymized;
subsequent to determining the first need associated with the first product and the identifier, determine, based at least in part on the user context information, that the first need has been met;
determine, in real time, a quality measure based at least in part on a click filter and at least one of the user account information or the user context information; and
based at least in part on determining that the first need has been met, select, from a plurality of advertisements, an advertisement associated with a second need associated with a second product, wherein the second product is different from the first product, and wherein the second product is related to the first product; and
a memory coupled to the processor and configured to provide the processor with instructions.
2. The system recited in claim 1 , wherein the user account information comprises at least one of demographic information, information pertaining to purchases, information pertaining to interests, or information pertaining to conversions.
3. The system recited in claim 2 , wherein the demographic information is determined at least in part from online activities.
4. The system recited in claim 1 , wherein the user context information comprises information pertaining to at least one of searches, click behavior, page requests, mouse-over actions, an absence of conversions, or a user location.
5. The system recited in claim 1 , wherein the advertisement is selected based at least in part on the quality measure.
6. The system recited in claim 1 , wherein the processor is further configured to determine, based at least in part on the quality measure, a cost associated with selecting of the advertisement.
7. The system recited in claim 1 , wherein the processor is further configured to provide the selected advertisement to the client device.
8. The system recited in claim 1 , wherein the selected advertisement is displayed by the client device.
9. The system recited in claim 1 , wherein the determination that the first need has been met is based at least in part on at least one of purchase information or search information.
10. A method, comprising:
determining an identifier associated with a client device, wherein the identifier associated with the client device comprises at least one of an HTML, cookie, a cache cookie, or a user agent;
determining a first need associated with a first product and the identifier;
obtaining, at least in part by accessing a repository, a record comprising user account information and user context information associated with the identifier, wherein the record comprises information that is at least partially anonymized;
subsequent to determining the first need associated with the first product and the identifier, determining, based at least in part on the user context information, that the first need has been met;
determining, in real time, a quality measure based at least in part on a click filter and at least one of the user account information or the user context information; and
based at least in part on determining that the first need has been met, selecting, from a plurality of advertisements, an advertisement associated with a second need associated with a second product, wherein the second product is different from the first product, and wherein the second product is related to the first product.
11. The method of claim 10 , wherein the user account information comprises at least one of demographic information, information pertaining to purchases, information pertaining to interests, or information pertaining to conversions.
12. The method of claim 11 , wherein the demographic information is determined at least in part from online activities.
13. The method of claim 10 , wherein the user context information comprises information pertaining to at least one of searches, click behavior, page requests, mouse-over actions, an absence of conversions, or a user location.
14. The method of claim 10 , wherein the advertisement is selected based at least in part on the quality measure.
15. The method of claim 10 , further comprising determining, based at least in part on the quality measure, a cost associated with selecting of the advertisement.
16. The method of claim 10 , further comprising providing the selected advertisement to the client device.
17. The method of claim 10 , wherein the selected advertisement is displayed by the client device.
18. The method of claim 10 , wherein the determination that the first need has been met is based at least in part on at least one of purchase information or search information.