Digital overlay offers on connected media devices
A computing device includes memory for storing commercial metadata and offer metadata harvested from within an offer distribution network. A processor compares the commercial metadata related to a broadcast commercial to be streamed to a client media device with the offer metadata related to available offers from offer providers, to generate a comparison. The processor then selects an offer from the available offers based on the comparison; determines when and over what video stream the broadcast commercial is to be streamed; detects that a screen device is paired to the client media device; and delivers the offer to a display of the screen device during streaming of the broadcast commercial over the video stream to the client media device. When a user of the screen device selects an indicia of the offer, the offer is collected into a virtual wallet from which the offer can be redeemed in various ways.
1. A method comprising:
receiving, by a computing system, available offers associated with at least one offer provider;
identifying, by the computing system, one or more of media content currently being streamed to a client media device or a content source for the media content currently being streamed to the client media device;
in response to the identifying, selecting, by the computing system, from the available offers, a targeted offer that is relevant to the media content currently being streamed to the client media device, wherein selecting the targeted offer comprises:
determining whether the available offers comprise one or more direct offers, and
responsive to determining that the available offers comprise the one or more direct offers, using media content metadata and at least a first type of data to select the targeted offer from the one or more direct offers, wherein the media content metadata is related to the media content, and wherein the first type of data is related to the one or more direct offers, or
responsive to determining that the available offers do not comprise the one or more direct offers, using one or more of (i) the media content metadata and a second type of data or (ii) a third type of data, to select the targeted offer from the available offers, wherein the second and third types of data are different from the first type of data, and wherein the second type of data is related to one or more of the available offers other than the one or more direct offers; and
in response to the selecting, automatically delivering, by the computing system, the selected targeted offer to one or more of the client media device or a screen device associated with the client media device while the media content is being displayed by the client media device.
2. The method of claim 1 , wherein the media content includes one or more of a media program or a broadcast commercial.
3. The method of claim 1 , wherein the content source includes one or more of a television channel or a uniform resource locator (URL) of a website from which the media content is being streamed.
4. The method of claim 1 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers comprise the one or more direct offers,
wherein using the media content metadata and at least the first type of data to select the targeted offer from the one or more direct offers comprises using the media content metadata, offer metadata for the one or more direct offers, and the third type of data to select the targeted offer from the one or more direct offers, and
wherein the third type of data comprises user metadata indicating a preference for offer content.
5. The method of claim 1 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the second type of data comprises offer metadata for the one or more of the available offers other than the one or more direct offers, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using the media content metadata and the second type of data to select the targeted offer from the available offers.
6. The method of claim 1 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the third type of data comprises user metadata, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using, from the user metadata, one or more of (i) a purchase history, (ii) a user history of interaction with offers, (iii) geo-location information, or (iv) user profile factors, to select the targeted offer from the available offers.
7. The method of claim 1 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the second type of data comprises offer metadata for the one or more of the available offers other than the one or more direct offers,
wherein the third type of data comprises user metadata, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using the media content metadata, the second type of data, and the third type of data to select the targeted offer from the available offers.
8. The method of claim 1 , wherein automatically delivering the selected targeted offer to one or more of the client media device or the screen device associated with the client media device while the media content is being displayed by the client media device comprises automatically delivering the selected targeted offer to one or more of the client media device or the screen device associated with the client media device for display as an overlay or a pop-up advertisement while the media content is being streamed to and displayed by the client media device.
9. A non-transitory computer readable medium having stored thereon instructions that, upon execution by a processor, cause performance of a set of acts comprising:
receiving available offers associated with at least one offer provider;
identifying one or more of media content currently being streamed to a client media device or a content source for the media content currently being streamed to the client media device;
in response to the identifying, selecting, from the available offers, a targeted offer that is relevant to the media content currently being streamed to the client media device, wherein selecting the targeted offer comprises:
determining whether the available offers comprise one or more direct offers,
responsive to determining that the available offers comprise the one or more direct offers, using media content metadata and at least a first type of data to select the targeted offer from the one or more direct offers, wherein the media content metadata is related to the media content, and wherein the first type of data is related to the one or more direct offers, and
responsive to determining that the available offers do not comprise the one or more direct offers, using one or more of (i) the media content metadata and a second type of data or (ii) a third type of data, to select the targeted offer from the available offers, wherein the second and third types of data are different from the first type of data, and wherein the second type of data is related to one or more of the available offers other than the one or more direct offers; and
in response to the selecting, automatically delivering the selected targeted offer to one or more of the client media device or a screen device associated with the client media device while the media content is being displayed by the client media device.
10. The non-transitory computer readable medium of claim 9 , wherein the media content includes one or more of a media program or a broadcast commercial.
11. The non-transitory computer readable medium of claim 9 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers comprise the one or more direct offers,
wherein using the media content metadata and at least the first type of data to select the targeted offer from the one or more direct offers comprises using the media content metadata, offer metadata for the one or more direct offers, and the third type of data to select the targeted offer from the one or more direct offers, and
wherein the third type of data comprises user metadata indicating a preference for offer content.
12. The non-transitory computer readable medium of claim 9 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the second type of data comprises offer metadata for the one or more of the available offers other than the one or more direct offers, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using the media content metadata and the second type of data to select the targeted offer from the available offers.
13. The non-transitory computer readable medium of claim 9 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the third type of data comprises user metadata, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using, from the user metadata, one or more of (i) a purchase history, (ii) a user history of interaction with offers, (iii) geo-location information, or (iv) user profile factors, to select the targeted offer from the available offers.
14. The non-transitory computer readable medium of claim 9 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the second type of data comprises offer metadata for the one or more of the available offers other than the one or more direct offers,
wherein the third type of data comprises user metadata, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using the media content metadata, the second type of data, and the third type of data to select the targeted offer from the available offers.
15. The non-transitory computer readable medium of claim 9 , wherein automatically delivering the selected targeted offer to one or more of the client media device or the screen device associated with the client media device while the media content is being displayed by the client media device comprises automatically delivering the selected targeted offer to one or more of the client media device or the screen device associated with the client media device for display as an overlay or a pop-up advertisement while the media content is being streamed to and displayed by the client media device.
16. A computing system comprising:
a processor; and
a non-transitory computer readable medium having stored thereon instructions that, upon execution by the processor, cause performance of a set of acts comprising:
receiving available offers associated with at least one offer provider;
identifying one or more of media content currently being streamed to a client media device or a content source for the media content currently being streamed to the client media device;
in response to the identifying, selecting, from the available offers, a targeted offer that is relevant to the media content currently being streamed to the client media device, wherein selecting the targeted offer comprises:
determining whether the available offers comprise one or more direct offers,
responsive to determining that the available offers comprise the one or more direct offers, using media content metadata and at least a first type of data to select the targeted offer from the one or more direct offers, wherein the media content metadata is related to the media content, and wherein the first type of data is related to the one or more direct offers, and
responsive to determining that the available offers do not comprise the one or more direct offers, using one or more of (i) the media content metadata and a second type of data or (ii) a third type of data, to select the targeted offer from the available offers, wherein the second and third types of data are different from the first type of data, and wherein the second type of data is related to one or more of the available offers other than the one or more direct offers; and
in response to the selecting, automatically delivering the selected targeted offer to one or more of the client media device or a screen device associated with the client media device while the media content is being displayed by the client media device.
17. The computing system of claim 16 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers comprise the one or more direct offers,
wherein using the media content metadata and at least the first type of data to select the targeted offer from the one or more direct offers comprises using the media content metadata, offer metadata for the one or more direct offers, and the third type of data to select the targeted offer from the one or more direct offers, and
wherein the third type of data comprises user metadata indicating a preference for offer content.
18. The computing system of claim 16 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the second type of data comprises offer metadata for the one or more of the available offers other than the one or more direct offers, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using the media content metadata and the second type of data to select the targeted offer from the available offers.
19. The computing system of claim 16 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the third type of data comprises user metadata, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using, from the user metadata, one or more of (i) a purchase history, (ii) a user history of interaction with offers, (iii) geo-location information, or (iv) user profile factors, to select the targeted offer from the available offers.
20. The computing system of claim 16 , wherein determining whether the available offers comprise the one or more direct offers comprises determining that the available offers do not comprise the one or more direct offers,
wherein the second type of data comprises offer metadata for the one or more of the available offers other than the one or more direct offers,
wherein the third type of data comprises user metadata, and
wherein using one or more of (i) the media content metadata and the second type of data or (ii) the third type of data, to select the targeted offer from the available offers comprises using the media content metadata, the second type of data, and the third type of data to select the targeted offer from the available offers.