Methods and apparatus for a window-metric rule
Methods, apparatus, systems and articles of manufacture are disclosed for a window-metric rule for return path data (RPD). In some examples, a media monitor includes a count calculator to determine a first count of a number of devices in a first household that reported RPD for a first day. The example media monitor also includes an RPD selector to compare the first count to a current window-metric, the current window-metric associated with a window of time for the first household, the window of time associated with a content provider and having N number of days. The example RPD selector the RPD from the first household for the first day when the first count does not satisfy the current window-metric. The example media monitor also includes a report generator to generate a media exposure report using the RPD from the first household for the first day when the first count satisfies the current window-metric, independent of if the first household has heartbeat data available.
1. A media monitor comprising:
a count calculator to determine a first count of a number of devices in a first household that reported return path data (RPD) for a first day;
an RPD selector to:
compare the first count to a current window-metric, the current window-metric associated with a window of time for the first household, the window of time associated with a content provider and having N number of days;
exclude the RPD from the first household for the first day when the first count does not satisfy the current window-metric; and
a report generator to generate a media exposure report using the RPD from the first household for the first day when the first count satisfies the current window-metric, independent of if the first household has heartbeat data available.
2. The media monitor as defined in claim 1 , further including:
a window-metric calculator to update the current window-metric by:
deleting an oldest count from a sliding window datastore, the sliding window datastore associated with the window of time and having N counts;
aging the remaining counts in the sliding window datastore by a day;
inserting the first count as a newest count to the sliding window datastore; and
updating the current window-metric as a most frequently occurring count in the updated sliding window datastore.
3. The media monitor as defined in claim 1 , wherein the number of days N in the window of time is adjusted based on a time of year.
4. The media monitor as defined in claim 1 , wherein the number of days N in the window of time is adjusted based on an identity of the content provider.
5. The media monitor as defined in claim 1 , wherein the current window-metric is based on a most frequently occurring count during the window of time for the first household.
6. The media monitor as defined in claim 1 , wherein the number of days N in the window of time is initially set as a minimum number of days required to obtain a stable retention rate of the RPD for households reporting RPD, the stable retention rate being a percentage of a number of households whose RPD are retained, where the percentage stays within a maximum retention rate and a minimum retention rate over a period of time.
7. The media monitor as defined in claim 6 , wherein the devices are set-top boxes.
8. A non-transitory computer readable medium comprising computer readable instructions that, when executed, cause a processor to at least:
determine a first count of a number of devices in a first household that reported return path data (RPD) for a first day;
compare the first count to a current window-metric, the current window-metric associated with a window of time for the first household, the window of time associated with a content provider and having N number of days;
exclude the RPD from the first household for the first day when the first count does not satisfy the current window-metric; and
generate a media exposure report using the RPD from the first household for the first day when the first count satisfies the current window-metric, independent of if the first household has heartbeat data available.
9. The non-transitory computer readable medium as defined in claim 8 , wherein the instructions cause the processor to:
delete an oldest count from a sliding window datastore, the sliding window datastore associated with the window of time and having N counts;
age the remaining counts in the sliding window datastore by a day;
insert the first count as a newest count to the sliding window datastore; and
update the current window-metric as a most frequently occurring count in the updated sliding window datastore.
10. The non-transitory computer readable medium as defined in claim 8 , wherein the number of days N in the window of time is adjusted based on a time of year.
11. The non-transitory computer readable medium as defined in claim 8 , wherein the number of days N in the window of time is adjusted based on an identity of the content provider.
12. The non-transitory computer readable medium as defined in claim 8 , wherein the current window-metric is based on a most frequently occurring count during the window of time for the first household.
13. The non-transitory computer readable medium as defined in claim 8 , wherein the number of days N in the window of time is initially set as a minimum number of days required to obtain a stable retention rate of the RPD for households sending RPD to the content provider, the stable retention rate being a percentage of a number of households whose RPD are retained, where the percentage stays within a maximum retention rate and a minimum retention rate over a period of time.
14. The non-transitory computer readable medium as defined in claim 13 , wherein the devices are set-top boxes.
15. A media monitor comprising:
memory; and
at least one processor to execute instructions to:
calculate a first count of a number of devices in a first household that reported return path data (RPD) for a first day;
compare the first count to a current window-metric, the current window-metric being a most frequently occurring count during a window of time for the first household, the window of time associated with a content provider and having N number of days;
exclude the RPD from the first household for the first day when the first count does not satisfy the current window-metric; and
generate a media exposure report using the RPD from the first household for the first day when the first count satisfies the current window-metric, independent of if the first household has heartbeat data available.
16. The media monitor as defined in claim 15 , wherein the at least one processor is to update the current window-metric by:
deleting an oldest count from a sliding window datastore, the sliding window datastore associated with the window of time and having N counts;
aging the remaining counts in the sliding window datastore by a day;
inserting the first count as a newest count to the sliding window datastore; and
updating the current window-metric as the most frequently occurring count in the updated sliding window datastore.
17. The media monitor as defined in claim 15 , wherein the number of days N in the window of time is adjusted based on a time of year.
18. The media monitor as defined in claim 15 , wherein the number of days N in the window of time is adjusted based on an identity of the content provider.
19. The media monitor as defined in claim 15 , wherein the number of days N in the window of time is initially set as a minimum number of days required to obtain a stable retention rate of the RPD for households sending RPD to the content provider, the stable retention rate being a percentage of a number of households whose RPD are retained, where the percentage stays within a maximum retention rate and a minimum retention rate over a period of time.
20. The media monitor as defined in claim 19 , wherein the devices are set-top boxes.