Advertising model

1. A system, comprising:

a set of one or more processors configured to:

determine a set of quality levels associated with a set of user profiles, wherein determining the set of quality levels includes assessing a respective measure of a quality of a respective user associated with a respective user profile included in the set of user profiles, and wherein each respective quality level included in the set of quality levels corresponds to a measure determined at least in part on at least one of: (1) a first search and (2) a first purchase, associated with the respective user profile included in the set of user profiles;

determine, for a first user having an associated first user profile included in the set of user profiles and having an associated first user quality level, interest in a first category, wherein interest in the first category is determined at least in part on at least one of: (1) a search associated with the first user profile and (2) a purchase associated with the first user profile;

store, in a user record associated with the first user, an indication of the determined interest in the first category;

at a time subsequent to determining the interest in the first category, determine, for the first user, interest in a second category related to the first category, wherein the interest in the second category is determined at least in part on at least one of: (1) an additional search associated with the first user profile and (2) an additional purchase associated with the first user profile;

determine, based at least in part on the determined interests in the first and second categories, that a need for the first category has been meet, wherein the determined interests in the first and second categories comprise a sequence of related interests, and wherein the sequence of related interests is indicative of the need for the first category having been met;

in response to determining that the need for the first category has been met, modify a quality level associated with the first user with respect to the first category;

for the first user, obtain a plurality of bids, wherein each bid included in the plurality of bids is based at least in part on a specified quality level and a corresponding bid amount for the specified quality level; and

select a bid from the obtained plurality of bids, based on the first user's modified quality level; and

a memory coupled to the set of one or more processors and configured to provide the set of one or more processors with instructions.

2. The system of claim 1 wherein the set of one or more processors is further configured to perform persona detection based at least in part on one or more interactions with a device made by the first user.

3. The system of claim 1 wherein the set of one or more processors is further configured to determine at least one of a discount and a surcharge associated with the selected bid based at least in part on the assessed measure of quality of the first user.

4. The system of claim 1 wherein the set of one or more processors is further configured to update the first user profile based at least in part on whether the first user interacts with a selected advertisement.

5. The system of claim 1 wherein the set of one or more processors is configured to obtain the plurality of bids at least in part by obtaining at least one of a minimum and a maximum bid for an advertisement and at least one of a minimum and a maximum value for the assessed measure of quality of the first user.

6. The system of claim 1 wherein a bid includes as a rule that, if a viewer of an advertisement clicks on a selected advertisement, a web browser of the viewer will be directed to one of at least two distinct landing pages, based at least in part on the assessed measure of quality.

7. The system of claim 1 wherein the set of one or more processors is further configured to estimate a likelihood of conversion by using a click filter.

8. The system of claim 2 wherein performing the persona detection includes performing clustering.