System and method for analyzing website activity
A method and system for analyzing website activity. According to an example embodiment, the system receives event-level data representing visitor session activity on a client website; attributes characteristic information of the event-level data associated with each visitor's session to at least one of a plurality of visitor segments, stores results of the attributed information aggregated according to visitor segment prior to a client-requested analysis of the event-level data, and provides online reports based on the resultant data in response to a client-requested analysis of the event-level data.
1. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the event-level data includes identification of a web page viewed by at least one of the plurality of visitors on the client website.
2. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data, wherein the event-level data includes identification of a web page from which at least one of the plurality of visitors on the client website places a product in a shopping cart.
3. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the event-level data includes identification of a website from where at least one of the plurality of visitors came before viewing a web page on the client website.
4. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the event-level data includes identification of a product clicked on by at least one of the plurality of visitors on the client website.
5. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the event-level data includes identification of a product placed into a shopping cart by at least one of the plurality of visitors on the client website.
6. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the event-level data includes identification of a product purchased after being placed into a shopping cart by at least one of the plurality of visitors on the client website.
7. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the event-level data includes identification of at least one of the plurality of pre-defined visitor segments associated with at least one of the plurality of visitors on the client website.
8. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the characteristic information includes total number of web pages viewed.
9. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the attributed aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the characteristic information includes total number of products placed in a shopping cart.
10. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein the characteristic information includes total number of products purchased.
11. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data,
wherein at least one of the plurality of pre-defined visitor segments includes repeat customers.
12. A method for analyzing website activity, comprising:
receiving event-level data representing session activity of each of a plurality of visitors on a client website;
determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregating the attributed characteristic information according to visitor segment;
storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data.
13. The method according to claim 12 , wherein the characteristic information includes total revenue.
14. The method according to claim 12 , wherein at least one of the plurality of pre-defined visitor segments includes one-time customers.
15. The method according to claim 12 , wherein at least one of the plurality of pre-defined visitor segments includes prospective customers.
16. An apparatus for analyzing website activity, comprising:
a processor; and
a memory, coupled to the processor, storing instructions adapted to be executed by the processor to:
receive event-level data representing session activity of each of a plurality of visitors on a client website;
determine, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
determine, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
attribute the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
aggregate the attributed characteristic information according to visitor segment;
store the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
provide online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data.
17. An apparatus for analyzing website activity, comprising:
means for receiving event-level data representing session activity of each of a plurality of visitors on a client website;
means for determining, based on the event-level data, characteristic information associated with the session activity of each of the plurality of visitors;
means for determining, based at least in part upon the event-level data, membership of each of the plurality of visitors into at least one of a plurality of pre-defined visitor segments, each of the plurality of pre-defined visitor segments corresponding to a categorization associated with a type of visitor;
means for attributing the characteristic information to at least one of the plurality of pre-defined visitor segments based on the visitor segment membership of each of the plurality of visitors;
means for aggregating the attributed characteristic information according to visitor segment;
means for storing the aggregated information according to visitor segment prior to a client-requested analysis of the event-level data; and
means for providing online reports based on the stored aggregated information in response to a client-requested analysis of the event-level data.