Automatically determining an optimal supplemental content spot in a media stream
Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for determining an optimal spot to insert supplemental content into a media stream to maximize the consumption of the supplemental content by users. An example embodiment operates by performing automated content recognition (ACR) on the media stream, thereby determining scene changes in the media stream. The embodiment identifies a plurality of potential supplemental content spots in the media stream based on the determined scene changes. The embodiment then performs a multivariate test involving test supplemental content over a portion of the potential supplemental content spots to a plurality of media devices, thereby determining the optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream.
1. A computer-implemented method for determining an optimal supplemental content spot in a media stream, comprising:
identifying, by at least one computer processor, a plurality of potential supplemental content spots in the media stream;
selecting a subset of media devices from a plurality of media devices based on one or more characteristics of the plurality of media devices; and
in response to the selecting, performing a multivariate test involving a test supplemental content item positioned in different ones of the plurality of potential supplemental content spots to the subset of media devices, wherein the performing the multivariate test comprises:
receiving an indication from each media device of the subset of media devices that specifies whether the respective media device outputted a threshold amount of the test supplemental content item positioned in one of the plurality of potential supplemental content spots; and
determining the optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream based on each indication received from the plurality of media devices.
2. The computer-implemented method of claim 1 , wherein the test supplemental content item is an advertisement.
3. The computer-implemented method of claim 1 , wherein the multivariate test is an A/B test.
4. The computer-implemented method of claim 1 , wherein the selecting comprises:
selecting the subset of media devices based on a geographic region or a time of day characteristic.
5. The computer-implemented method of claim 1 , wherein the selecting comprises:
selecting the subset of media devices based on historical playback information.
6. The computer-implemented method of claim 1 , wherein the performing the multivariate test comprises:
determining a portion of the subset of media devices that outputted an entirety of the test supplemental content item.
7. The computer-implemented method of claim 6 , wherein the performing the multivariate test further comprises:
determining the optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream based on the portion of the subset of media devices that outputted the entirety of the test supplemental content item.
8. A system determining an optimal supplemental content spot in a media stream, comprising:
one or more memories; and
at least one processor each coupled to at least one of the memories and configured to perform operations comprising:
identifying a plurality of potential supplemental content spots in the media stream;
selecting a subset of media devices from a plurality of media devices based on one or more characteristics of the plurality of media devices; and
in response to the selecting, performing a multivariate test involving a test supplemental content item positioned in different ones of the plurality of potential supplemental content spots to the subset of media devices, wherein the performing comprises:
receiving an indication from each media device of the subset of media devices that specifies whether the respective media device outputted a threshold amount of the test supplemental content item positioned in one of the plurality of potential supplemental content spots; and
determining the optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream based on each indication received from the plurality of media devices.
9. The system of claim 8 , wherein the test supplemental content item is an advertisement.
10. The system of claim 8 , wherein the multivariate test is an A/B test.
11. The system of claim 8 , wherein the selecting comprises:
selecting the subset of media devices based on a geographic region or a time of day characteristic.
12. The system of claim 8 , wherein the selecting comprises:
selecting the subset of media devices based on historical playback information.
13. The system of claim 8 , wherein the performing the multivariate test comprises:
determining a portion of the subset of media devices that outputted an entirety of the test supplemental content item.
14. The system of claim 13 , wherein the performing the multivariate test comprises:
determining the optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream based on the portion of the subset of media devices that outputted the entirety of the test supplemental content item.
15. A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
identifying a plurality of potential supplemental content spots in a media stream;
selecting a subset of media devices from a plurality of media devices based on one or more characteristics of the plurality of media devices; and
in response to the selecting, performing a multivariate test involving a test supplemental content item positioned in different ones of the plurality of potential supplemental content spots to the subset of media devices, wherein the performing the multivariate test comprises:
receiving an indication from each media device of the subset of media devices that specifies whether the respective media device outputted a threshold amount of the test supplemental content item positioned in one of the plurality of potential supplemental content spots; and
determining an optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream based on each indication received from the plurality of media devices.
16. The non-transitory computer-readable medium of claim 15 , wherein the test supplemental content item is an advertisement.
17. The non-transitory computer-readable medium of claim 15 , wherein the selecting further comprises:
selecting the subset of media devices based on a geographic region or a time of day characteristic.
18. The non-transitory computer-readable medium of claim 15 , wherein the selecting comprises:
selecting the subset of media devices based on historical playback information.
19. The non-transitory computer-readable medium of claim 15 , wherein the performing the multivariate test comprises:
determining a portion of the subset of media devices that outputted an entirety of the test supplemental content item.
20. The non-transitory computer-readable medium of claim 19 , wherein the performing the multivariate test comprises:
determining the optimal supplemental content spot among the plurality of potential supplemental content spots in the media stream based on the portion of the subset of media devices that outputted the entirety of the test supplemental content item.