System and method for quantification of latent effects on user interactions with an online presence in a distributed computer network resulting from content distributed through a distinct content delivery network
AssigneeTatari, Inc.
InventorsMichael D. Swinson, Lin O'Driscoll, Wei Chen
Life of this patent
Estimating the term…
Abstract
Embodiments of the present disclosure relate to data correlation of data pertaining to content distributed through distinct content delivery networks including offline networks and data related to user interaction with an online presence on the distributed computer network and uses for such correlated data, including to measure and quantify latent effects of the content distributed through a distinct content delivery network, such as an offline network, on user's interactions with the online presence on the distributed computer network.
Claims20
A system, comprising:
- a processor;
- a data store, the data store storing:
- spot viewing data comprising data on user views of a first spot associated with an entity through an offline network, and
- user interaction event data comprising data on user interactions with an online presence on an online network, wherein the online presence is associated with the entity associated with the first spot;
- and
- a non-transitory computer readable medium comprising instructions for:
- associating one or more user views of the first spot through the offline network with corresponding user interactions with the online presence of the entity on the online network;
- determining a first set of user views of the first spot that are associated with corresponding user interactions with the online presence on the online network;
- determining a latency factor to account for the effects of the first spot that occur outside a baseline window based on the first set of user views which account for users who have responded incrementally to the first spot airing on the offline network and user interactions with the online presence on the online network associated with users that did not view the first spot airing on the offline network, wherein the latency factor reflects a relationship between an expected total incremental response at the entity's online presence on the online network relative to an immediate incremental response, wherein the expected total incremental response includes both a response to the spot airing on the offline network inside and outside the base time window;
- adjusting a metric associated with the online presence based on the latency factor;
- and
- generating an interface based on the adjusted metric.
A method, comprising:
- accessing, by a computer, a data store storing spot viewing data and user interaction event data, the spot viewing data comprising data on user views of a first spot associated with an entity through an offline network, and the user interaction event data comprising data on user interactions with an online presence on an online network, wherein the online presence is associated with the entity associated with the first spot;
- associating, by the computer, one or more user views of the first spot through the offline network with corresponding user interactions with the online presence of the entity on the online network;
- determining, by the computer, a first set of user views of the first spot that are associated with corresponding user interactions with the online presence on the online network;
- determining, by the computer, a latency factor to account for the effects of the first spot that occur outside a baseline window based on the first set of user views which account for users who have responded incrementally to the first spot airing on the offline network and user interactions with the online presence on the online network associated with users that did not view the first spot airing on the offline network, wherein the latency factor reflects a relationship between an expected total incremental response at the entity's online presence on the online network relative to an immediate incremental response, wherein the expected total incremental response includes both a response to the spot airing on the offline network inside and outside the base time window;
- adjusting, by the computer, a metric associated with the online presence based on the latency factor;
- and
- generating, by the computer, an interface based on the adjusted metric.
A non-transitory computer readable medium, comprising instructions translatable by a processor for:
- accessing spot viewing data comprising data on user views of a first spot associated with an entity through an offline network, and user interaction event data comprising data on user interactions with an online presence on an online network, wherein the online presence on the online network is associated with the entity associated with the first spot through the offline network;
- associating one or more user views of the first spot through the offline network with corresponding user interactions with the online presence of the entity on the online network;
- determining a first set of user views of the first spot that are associated with corresponding user interactions with the online presence on the online network;
- determining a latency factor to account for the effects of the first spot that occur outside a baseline window based on the first set of user views which account for users who have responded incrementally to the first spot airing on the offline network and user interactions with the online presence on the online network associated with users that did not view the first spot airing on the offline network, wherein the latency factor reflects a relationship between an expected total incremental response at the entity's online presence on the online network relative to an immediate incremental response, wherein the expected total incremental response includes both a response to the spot airing on the offline network inside and outside the base time window;
- adjusting a metric associated with the online presence based on the latency factor;
- and
- generating an interface based on the adjusted metric.
Dependencies are inferred from the claim text.