METHOD AND SYSTEM FOR TARGETED ADVERTISING BASED ON ASSOCIATED ONLINE AND OFFLINE USER BEHAVIORS
Methods, systems, and programming for targeted advertising and conversion measurement. In one example, first information related to an online activity of a user is received. The online activity is associated with a first attribute to be used to identify the user. Second information related to an offline activity of the user is received. The offline activity is associated with a second attribute to be used to identify the user. A connection between the online activity and the offline activity of the user is then identified by matching the first attribute with the second attribute. A profile of the user is obtained based, at least in part, on the identified connection. A request of serving an advertisement is received. The user is selected from a plurality of users based on the profile of the user and information related to the request. The advertisement is provided to the user.
1 . A method implemented on at least one machine, each of which has at least one processor, storage, and a communication platform connected to a network for targeted advertising, the method comprising the steps of:
receiving first information related to an online activity of a user, wherein the online activity is associated with a first attribute to be used to identify the user;
receiving second information related to an offline activity of the user, wherein the offline activity is associated with a second attribute to be used to identify the user;
identifying a connection between the online activity and the offline activity of the user by matching the first attribute with the second attribute;
obtaining a profile of the user based, at least in part, on the identified connection;
receiving a request of serving an advertisement;
selecting the user from a plurality of users based on the profile of the user and information related to the request; and
providing the advertisement to the user.
2 . The method of claim 1 , wherein
the online activity includes an advertisement exposure event or an advertisement conversion event that occurs online; and
the offline activity includes an advertisement exposure event or an advertisement conversion event that occurs offline.
3 . The method of claim 1 , wherein
the first attribute includes at least one of identity, physical address, social security number, cookie, IP address, and user account; and
the second attribute includes at least one of identity, physical address, social security number, payment card number, and shopper card number.
4 . The method of claim 1 , further comprising:
upon identifying the connection between the online activity and the offline activity of the user, removing personally identifiable information (PII) associated with the user from the connection; and
assigning an identifier to the user.
5 . The method of claim 4 , further comprising:
receiving user behavior information related to the user from a third-party information provider based on the identifier of the user, wherein the profile of the user is obtained based, at least in part, on the received user behavior information.
6 . The method of claim 1 , further comprising:
for each of the plurality of users, identifying a connection between respective online activity and offline activity of the respective user by matching the first attribute with the second attribute; and
obtaining a profile of the respective user based, at least in part, on the respective identified connection.
7 . The method of claim 1 , wherein the information related to the request includes at least one of campaign objective, demographic information, user identifier, publisher information, and advertisement information.
8 . A method implemented on at least one machine, each of which has at least one processor, storage, and a communication platform connected to a network for advertisement conversion measurement, the method comprising the steps of:
receiving a request of serving an advertisement;
providing the advertisement to a user based on information related to the request and a profile of the user, wherein the user is associated with a first identifier;
receiving information related to offline activities of the user, wherein each of the offline activities is identified based on the first identifier associated with the user;
identifying at least one offline activity of the user from the received information, wherein the at least one offline activity relates to an event associated with the advertisement; and
determining a measure of serving the advertisement based on the identified at least one offline activity of the user.
9 . The method of claim 8 , wherein the offline activity includes an offline transaction of a product or a service that is related to the advertisement.
10 . The method of claim 8 , wherein the first identifier is generated based on at least one of identity, physical address, social security number, cookie, IP address, user account.
11 . The method of claim 8 , wherein the information related to the request includes at least one of campaign objective, demographic information, user identifier, publisher information, and advertisement information.
12 . The method of claim 8 , wherein
each of the offline activities is associated with a respective second identifier; and
each of the offline activities is identified based on matching the first identifier with a respective second identifier.
13 . The method of claim 12 , wherein the second identifier is generated based on at least one of identity, physical address, social security number, payment card number, and shopper card number.
14 . The method of claim 8 , wherein the advertisement is provided to the user online.
15 . The method of claim 8 , further comprising:
selecting the user from a plurality of users based on the profile of the user and information related to the request.
16 . The method of claim 15 , wherein selecting the user from a plurality of users comprises:
receiving first information related to an online activity of the user, wherein the online activity is associated with a first attribute to be used to identify the user;
receiving second information related to an offline activity of the user, wherein the offline activity is associated with a second attribute to be used to identify the user;
identifying a connection between the online activity and the offline activity of the user by matching the first attribute with the second attribute;
obtaining the profile of the user based, at least in part, on the identified connection.
17 . A system having at least one processor, storage, and a communication platform for targeted advertising, the system comprising:
an online events processing module configured to receive first information related to an online activity of a user, wherein the online activity is associated with a first attribute to be used to identify the user;
an offline events processing module configured to receive second information related to an offline activity of the user, wherein the offline activity is associated with a second attribute to be used to identify the user;
an online-offline events matching module configured to identify a connection between the online activity and the offline activity of the user by matching the first attribute with the second attribute;
an online-offline data mining module configured to obtain a profile of the user based, at least in part, on the identified connection; and
an advertisement serving module configured to receive a request of serving an advertisement, select the user from a plurality of users based on the profile of the user and information related to the request, and provide the advertisement to the user.
18 . A system having at least one processor, storage, and a communication platform for advertisement conversion measurement, the system comprising:
an advertisement serving module configured to receive a request of serving an advertisement, and provide the advertisement to a user based on information related to the request and a profile of the user, wherein the user is associated with a first identifier;
an offline events processing module configured to receive information related to offline activities of the user, wherein each of the offline activities is identified based on the first identifier associated with the user;
an events matching module configured to identify at least one offline activity of the user from the received information, wherein the at least one offline activity relates to an event associated with the advertisement; and
an advertisement conversion measurement module configured to determine a measure of serving the advertisement based on the identified at least one offline activity of the user.
19 . A non-transitory machine-readable medium having information recorded thereon for targeted advertising, wherein the information, when read by the machine, causes the machine to perform the following:
receiving first information related to an online activity of a user, wherein the online activity is associated with a first attribute to be used to identify the user;
receiving second information related to an offline activity of the user, wherein the offline activity is associated with a second attribute to be used to identify the user;
identifying a connection between the online activity and the offline activity of the user by matching the first attribute with the second attribute;
obtaining a profile of the user based, at least in part, on the identified connection;
receiving a request of serving an advertisement;
selecting the user from a plurality of users based on the profile of the user and information related to the request; and
providing the advertisement to the user.
20 . A non-transitory machine-readable medium having information recorded thereon for advertisement conversion measurement, wherein the information, when read by the machine, causes the machine to perform the following:
receiving a request of serving an advertisement;
providing the advertisement to a user based on information related to the request and a profile of the user, wherein the user is associated with a first identifier;
receiving information related to offline activities of the user, wherein each of the offline activities is identified based on the first identifier associated with the user;
identifying at least one offline activity of the user from the received information, wherein the at least one offline activity relates to an event associated with the advertisement; and
determining a measure of serving the advertisement based on the identified at least one offline activity of the user.