Detecting and reporting on consumption rate changes
A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.
1. A computer-implemented method of reporting on a measured change in a consumption rate at a reporting system, the computer-implemented method comprising:
receiving a respective media consumption history of each of a plurality of entities;
selecting a monitored audience from the plurality of entities by selecting entities which have been exposed to an item of advertising content;
determining a category value for each of two or more categories of media content wherein:
one category of media content comprises one or more items of media content;
one category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals; and
one consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval, at the reporting system;
and
providing a report comprising a reference to two or more categories and their associated category values.
2. The method of claim 1 wherein:
the measured change in consumption rate excludes duplicate deliveries of the item of media content to the same entity.
3. The method of claim 1 wherein:
selecting further comprises selecting a subset of the entities with a media consumption history which satisfies one or more media consumption criteria.
4. The method of claim 1 wherein:
selecting a monitored audience further comprises selecting entities based on inferred attributes of the entities.
5. The method of claim 1 wherein:
the media content is a web page.
6. A system comprising:
a processor;
a computer readable storage medium storing processor-executable computer program instructions for reporting on a measured change in a consumption rate at a reporting system, the instructions comprising instructions for:
receiving a respective media consumption history of each of a plurality of entities;
selecting a monitored audience from the plurality of entities by selecting entities which have been exposed to an item of advertising content;
determining a category value for each of two or more categories of media content wherein:
one category of media content comprises one or more items of media content;
one category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals; and
one consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval, at the reporting system;
and
providing a report comprising a reference to two or more categories and their associated category values.
7. The system of claim 6 wherein:
the measured change in consumption rate excludes duplicate deliveries of the item of media content to the same entity.
8. The system of claim 6 wherein:
selecting further comprises selecting a subset of the entities with a media consumption history which satisfies one or more media consumption criteria.
9. The system of claim 6 wherein:
selecting a monitored audience further comprises selecting entities based on inferred attributes of the entities.
10. The system of claim 6 wherein:
selecting a monitored audience further comprises selecting entities based on the media consumption histories of the entities.
11. The system of claim 6 wherein:
the media content is a web page.
12. A non-transitory computer readable storage medium executing computer program instructions for reporting on measured changes in a consumption rate at a reporting system, the computer program instructions comprising instructions for:
receiving a respective media consumption history of each of a plurality of entities;
selecting a monitored audience from the plurality of entities by selecting entities which have been exposed to an item of advertising content;
determining a category value for each of two or more categories of media content wherein:
one category of media content comprises one or more items of media content;
one category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals; and
one consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval, at the reporting system;
and
providing a report comprising a reference to two or more categories and their associated category values.
13. The medium of claim 12 wherein:
the measured change in consumption rate excludes duplicate deliveries of the item of media content to the same entity.
14. The medium of claim 12 wherein:
the instructions for selecting further comprise selecting a subset of the entities with a media consumption history which satisfies one or more media consumption criteria.
15. The medium of claim 12 wherein:
the instructions for selecting a monitored audience further comprise selecting entities based on inferred attributes of the entities.
16. The medium of claim 12 wherein:
the instructions for selecting a monitored audience further comprise selecting entities based on the media consumption histories of the entities.
17. The medium of claim 12 wherein:
the media content is a web page.