Methods and apparatus to cluster user data

A computer-implemented method, the method comprising:

• receiving a first user list associated with a first data provider, wherein the first user list comprises a plurality of users associated with a first set of data attributes
• receiving a second user list associated with a second different data provider, wherein the second user list comprises a plurality of users associated with a second set of data attributes;
• determining whether the first user list is similar to the second user list;
• and
• identifying the second user list as similar to the first user list if the first user list is similar to the second user list including attributing known performance data associated with the first user list to the second user list.

A system, comprising:

• a data normalization engine configured to receive a first data set associated with a first data provider and a second data set associated with a second different data provider and transform the first and second data set to a common format,
• wherein the first data set comprises a first set of data attributes associated with a first set of users,
• wherein the second data set comprises a second set of data attributes associated with a second set of users;
• and
• a clustering engine connected to the data normalization engine, wherein the clustering engine is configured to generate user cluster information based on at least one common data attribute associated with the first set of users and the second set of users.

A computer readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations:

• receive a first data set associated with a first data provider, wherein the first data set comprises a first set of data attributes associated with a first set of users;
• receive a second data set associated with a second different data provider, wherein the second data set comprises a second set of data attributes associated with a second set of users;
• generate user cluster information based on at least one common data attribute associated with the first set of users and the second set of users;
• and
• provide the user cluster information to a data purchaser.