Systems and methods for web spike attribution
View Patent ↗Systems and methods are disclosed that measure web activity bursts after ad broadcasts that may be sent to multiple persons. One system uses a cookie-less/cookie-optional, anonymous/personal-identification-not-required, method for web-based conversion tracking that will work on broadcast media systems such as television, and could also be applied to measuring spikes from email, radio, and other forms of advertising where an episodic ad event is broadcast to multiple parties, and where responses occur in a batch after the broadcast.
1. A computer-implemented method for web spike attribution, the method comprising:
receiving, at a server, one or more heterogeneous sources of media data, the media data being related to a television broadcast event;
receiving, at the server, website request data, the website request data including a time period during the television broadcast event and a time period prior to the television broadcast event;
storing filtered website request data comprising a subset of the website request data filtered to include at least one of null referrers, previously-uncookied visitors, and traffic not having a search query referrer;
measuring, by the server, a change in the filtered website request data for the time period during the television broadcast event compared to the time period prior to the television broadcast event; and
attributing the change in the filtered website request data to the television broadcast event based on a calculated probability that the change in the filtered website request data is due to the television broadcast event.
2. The method of claim 1 , further comprising:
determining, by the sever, a number of impressions due to the television broadcast event based on the change in the filtered website request data; and
generating, by the server, a report on the change in the filtered website request data and the number of impressions.
3. The method of claim 2 , further comprising:
determining, by the sever, a change in the filtered website request data per impressions performance based on the media data, the media data including one or more of a network, a day, an hour, a program, and a geography; and
generating, by the server, a report on the change in the filtered website request data per impressions performance based on at least one of the network, the day, the hour, the program, and the geography.
4. The method of claim 1 , further comprising:
filtering, by the server, the filtered website request data to increase signal-to-noise based on an IP-geographic lookup to establish the geographic origin of website request traffic.
5. The method of claim 1 , further comprising:
determining, by the sever, a number of impressions due to the television broadcast event based on the filtered website request data for the time period during the television broadcast event and the filtered website request data for the time period prior to the television broadcast event;
determining, by the sever, a change in the filtered website request data per impressions performance based on the media data, the media data including one or more of a network, a day, an hour, a program, and a geography; and
determining, by the server, a targeting score of the television broadcast event based on the number of impressions and the change in the filtered website request data per impressions.
6. The method of claim 5 , further comprising:
generating, by the server, a purchase recommendation based on the targeting score of the television broadcast event.
7. The method of claim 1 , further comprising:
determining, by the sever, a number of impressions due to the television broadcast event based on the filtered website request data for the time period during the television broadcast event and the filtered website request data for the time period prior to the television broadcast event; and
determining, by the sever, a change in the filtered website request data per impressions performance based on the media data, the media data including a plurality of a network, a day, an hour, a program, and a geography.
8. A system for web spike attribution, the system comprising:
a data storage device that stores instructions for web spike attribution; and
a processor configured to execute the instructions to perform a method including:
receiving one or more heterogeneous sources of media data, the media data being related to a television broadcast event;
receiving website request data, the website request data including a time period during the television broadcast event and a time period prior to the television broadcast event;
storing filtered website request data comprising a subset of the website request data filtered to include at least one of null referrers, previously-uncookied visitors, and traffic not having a search query referrer;
measuring a change in the filtered website request data for the time period during the television broadcast event compared to the time period prior to the television broadcast event; and
attributing the change in the filtered website request data to the television broadcast event based on a calculated probability that the change in the filtered website request data is due to the television broadcast event.
9. The system of claim 8 , wherein the processor is further configured to execute the instructions to perform the method including:
determining, by the sever, a number of impressions due to the television broadcast event based on the change in the filtered website request data; and
generating, by the server, a report on the change in the filtered website request data and the number of impressions.
10. The system of claim 9 , wherein the processor is further configured to execute the instructions to perform the method including:
determining, by the sever, a change in the filtered website request data per impressions performance based on the media data, the media data including one or more of a network, a day, an hour, a program, and a geography; and
generating, by the server, a report on the change in the filtered website request data per impressions performance based on at least one of the network, the day, the hour, the program, and the geography.
11. The system of claim 8 , wherein the processor is further configured to execute the instructions to perform the method including:
filtering, by the server, the change in the filtered website request data to increase signal-to-noise based on an IP-geographic lookup to establish the geographic origin of website request traffic.
12. The system of claim 8 , wherein the processor is further configured to execute the instructions to perform the method including:
determining, by the sever, a number of impressions due to the television broadcast event based on the change in the filtered website request data for the time period during the television broadcast event and the change in the filtered website request data for the time period prior to the television broadcast event;
determining, by the sever, a change in the filtered website request data per impressions performance based on the media data, the media data including one or more of a network, a day, an hour, a program, and a geography; and
determining, by the server, a targeting score of the television broadcast event based on the number of impressions and the change in the filtered website request data per impressions.
13. The system of claim 12 , wherein the processor is further configured to execute the instructions to perform the method including:
generating, by the server, a purchase recommendation based on the targeting score of the television broadcast event.
14. The system of claim 8 , wherein the processor is further configured to execute the instructions to perform the method including:
determining, by the sever, a number of impressions due to the television broadcast event based on the filtered website request data for the time period during the television broadcast event and the filtered website request data for the time period prior to the television broadcast event; and
determining, by the sever, a filtered website request data per impressions performance based on the media data, the media data including a plurality of a network, a day, an hour, a program, and a geography.