Clickstream analysis methods and systems related to improvements in online stores and media content
View Patent ↗Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new online and offline business methods based on online consumer behavior.
1. A system comprising:
one or more processors;
a memory bearing instructions that, when executed, cause the one or more processors to:
identify demographic information about members of a target population;
based at least in part on the demographic information, identify a group of participants in the target population;
identify Uniform Resource Locators (URLs) in one or more clickstreams of the group of participants;
decompose and hash each URL in the one or more clickstreams;
calculate, based at least in part on the decomposed hashed URLs, a metric of cross-shopping behavior of the group of participants between different consumer goods; and
transmit the metric of cross-shopping behavior through a communication facility to a remote machine for use in a determination of where consumer goods should be presented in an online store.
2. The system of claim 1 , wherein identifying demographic information includes performing a random digit dial survey of the target population.
3. The system of claim 1 , wherein the metric of cross-shopping behavior is transmitted to the remote machine for use in determining an order to present the consumer goods in the online store.
4. The system of claim 1 , wherein the metric of cross-shopping behavior is transmitted to the remote machine for use in determining that certain consumer goods should be presented together in the online store.
5. The system of claim 1 , wherein the memory further bears instructions that, when executed, cause the one or more processors to adjust a structure of the online store based on the determination.
6. The system of claim 1 , wherein the memory further bears instructions that, when executed, cause the one or more processors to adjust a content of the online store based on the determination.
7. The system of claim 1 , wherein the metric of cross-shopping behavior includes an order in which one or more participants in the group of participants has viewed one or more consumer goods included in the different consumer goods.
8. The system of claim 1 , wherein the metric of cross-shopping behavior includes an order in which one or more participants in the group of participants has viewed one or more vendors that offer one or more consumer goods included in the different consumer goods.
9. A system comprising:
one or more processors;
a memory bearing instructions that, when executed, cause the one or more processors to:
identify demographic information about members of a target population;
based at least in part on the demographic information, identify a group of participants in the target population;
identify Uniform Resource Locators (URLs) in one or more clickstreams of the group of participants;
decompose and hash each URL in the one or more clickstreams;
calculate, based at least in part on the decomposed hashed URLs, a metric of cross-shopping behavior of the group of participants between different consumer goods; and
transmit the metric of cross-shopping behavior through a communication facility to a remote machine for use in improving channels of distribution for media content based on the metric of cross-shopping behavior.
10. The system of claim 9 , wherein identifying demographic information includes performing a random digit dial survey of the target population.
11. The system of claim 9 , wherein improving channels of distribution for media content includes adjusting content of a website of a vendor based on the metric of cross-shopping behavior.
12. The system of claim 11 , wherein the content of the website of the vendor is adjusted to include content similar to that offered by a different vendor.
13. The system of claim 11 , wherein the content of the website includes media content.
14. The system of claim 9 , wherein the metric of cross-shopping behavior includes a demographic interest regarding a consumer good.
15. The system of claim 9 , wherein the metric of cross-shopping behavior includes a demographic interest regarding media content.
16. The system of claim 9 , wherein the channels of distribution for media content are online channels of distribution.
17. The system of claim 9 , wherein the channels of distribution for media content are offline channels of distribution.