METHOD AND SYSTEM FOR INFLUENCING AUCTION BASED ADVERTISING OPPORTUNITIES BASED ON USER CHARACTERISTICS
Disclosed is a computer implemented method of bidding for advertisement opportunities based on user behavior data. The computer implemented method may include receiving a primary bid value associated with an audience list including a plurality of users. Further, each user of the plurality of users may be associated with user behavior data corresponding to a primary filtering criteria. Further, the computer implemented method may include receiving a secondary bid value associated with a sub-audience list including one or more users. Further, the one or more users may be associated with user behavior data corresponding to a secondary filtering criteria. Additionally, the computer implemented method may include transmitting a bid for an advertisement opportunity based on each of the primary bid value and the secondary bid value. The advertisement may be presentable to the one or more users.
1 . A method of bidding for advertisement opportunities, wherein the method is computer implemented, the method comprising:
a. receiving a primary bid value associated with an audience list, wherein the audience list comprises a plurality of users, wherein the plurality of users is associated with user behavior data corresponding to a primary filtering criteria;
b. receiving a secondary bid value associated with a sub-audience list, wherein the sub-audience list comprises at least one user, wherein the at least one user is associated with user behavior data corresponding to a secondary filtering criteria; and
c. transmitting a bid for an advertisement opportunity based on each of the primary bid value and the secondary bid value, wherein the advertisement is presentable to the at least one user.
2 . The method of claim 1 , wherein each of the primary filtering criteria and the secondary filtering criteria is based on at least one characteristic of user behavior data.
3 . The method of claim 2 , wherein the user behavior data comprises data corresponding to online activity performed by a user, wherein the at least one characteristic comprises at least one of a domain name, a webpage identifier, a keyword, an affinity value of the keyword, a demographic variable, a psychographic variable, device data and a time corresponding to capture of the user behavior data.
4 . The method of claim 3 , wherein, the device data comprises at least one of a device identifier associated with a user device, indicator of screen size of the user device, a network identifier associated with a communication network used for performing the online activity, an Internet Service Provider (ISP) associated with the communication network, an Operating System (OS) identifier of an OS installed on the user device and a browser identifier of a browser installed on the user device.
5 . The method of claim 1 , wherein the primary bid value comprises a default bid amount, wherein the secondary bid value comprises an adjustment value, wherein the bid for the advertisement comprises a transmitted bid value obtained by adjusting the default bid amount according to the adjustment value.
6 . The method of claim 1 further comprising:
a. receiving the primary filtering criteria for creating the audience list;
b. filtering a set of users based on the primary filtering criteria, wherein each user in the set of users is associated with user behavior data, wherein the primary filtering criteria is based on at least one characteristic of user behavior data; and
c. identifying the plurality of users from the set of users based on filtering of the set of users, wherein the plurality of users constitutes the audience list.
7 . The method of claim 1 further comprising:
a. receiving the secondary filtering criteria for creating the sub-audience list;
b. filtering the plurality of users based on the secondary filtering criteria; and
c. identifying at least one user in the audience list based on filtering the plurality of users, wherein the at least one user constitutes the sub-audience list.
8 . The method of claim 1 , wherein the secondary bid value is based on a contextual variable associated with the advertisement opportunity.
9 . The method of claim 1 further comprising:
a. receiving a notification of the advertisement opportunity, wherein the notification comprises the contextual variable; and
b. evaluating the contextual variable based on at least one of the primary filtering criteria and the secondary filtering criteria, wherein each of the primary filtering criteria and the secondary filtering criteria comprises a preferable contextual variable, wherein transmitting the bid for the advertisement is further based on evaluation of the contextual variable.
10 . The method of claim 1 further comprising:
a. receiving a notification of the advertisement opportunity, wherein the notification comprises a user identifier corresponding to a user; and
b. detecting presence of the user identifier in at least one of the audience list and the sub-audience list, wherein transmitting the bid for the advertisement is based further on presence of the user identifier in at least one of the audience list and the sub-audience list.
11 . The method of claim 10 , wherein the bid for the advertisement comprises the primary bid value, wherein the user identifier is present in the audience list and absent in the sub-audience list.
12 . The method of claim 10 , wherein the bid for the advertisement comprises the secondary bid value, wherein the user identifier is present in each of the audience list and the sub-audience list.
13 . The method of claim 1 , wherein the secondary bid value comprises one of a positive value and a negative value, wherein the bid for the advertisement is transmitted provided the secondary bid value is a positive value.
14 . The method of claim 1 further comprising:
a. receiving a notification of a win based on the bid; and
b. transmitting the advertisement to the at least one user based on receiving the notification of the win.
15 . The method of claim 1 , wherein the user behavior data is anonymous.
16 . A system for facilitating bidding of advertisement opportunities, wherein the system comprises a communication module and a processing module communication module coupled to the communication module, wherein the communication module is configured to:
a. receive a primary bid value associated with an audience list, wherein the audience list comprises a plurality of users, wherein the plurality of users is associated with user behavior data corresponding to a primary filtering criteria;
b. receive a secondary bid value associated with a sub-audience list, wherein the sub-audience list comprises at least one user, wherein the at least one user is associated with user behavior data corresponding to a secondary filtering criteria; and
c. transmit a bid for an advertisement opportunity based on each of the primary bid value and the secondary bid value, wherein the advertisement is presentable to the at least one user.
17 . The system of claim 16 , wherein each of the primary filtering criteria and the secondary filtering criteria is based on at least one characteristic of user behavior data.
18 . The system of claim 17 , wherein the user behavior data comprises data corresponding to online activity performed by a user, wherein the at least one characteristic comprises at least one of a domain name, a webpage identifier, a keyword, an affinity value of the keyword, a demographic variable, a psychographic variable, device data and a time corresponding to capture of the user behavior data.
19 . The system of claim 18 , wherein, the device data comprises at least one of a device identifier associated with a user device, indicator of screen size of the user device, a network identifier associated with a communication network used for performing the online activity, an Internet Service Provider (ISP) associated with the communication network, an Operating System (OS) identifier of an OS installed on the user device and a browser identifier of a browser installed on the user device.
20 . The system of claim 16 , wherein the primary bid value comprises a default bid amount, wherein the secondary bid value comprises an adjustment value, wherein the bid for the advertisement comprises a transmitted bid value obtained by adjusting the default bid amount according to the adjustment value.