Time stamping process to determine user behaviors on a wagering platform
The present disclosure provides a system to time stamp user interactions on a wagering platform or application to determine user behaviors allowing the platform or application to group the users in specific cohorts or groups related to their behaviors on the platform or application. Also, the system provides an AI process that allows the use of a plurality of time-stamped parameters that are used to determine the user behaviors and interactions with the platform or application.
1. A system for marking activity on a wagering system, comprising:
a live sporting event;
one or more gaming devices;
a wagering network communicatively connected to the one or more gaming devices;
a data collection module on the wagering network;
a correlation module on the wagering network; and
a cohort module on the wagering network, wherein timestamp data associated with actions performed on the one or more gaming devices are collected by the data collection module and transmitted to the wagering system, the correlation module performs correlations on the timestamps creating at least one correlation coefficient, compares the at least one correlation coefficient to a wagering network incentive database to place the user in a cohort, and determines a cohort behavior of the cohort with respect to actions performed on at least one of the one or more gaming devices by the cohort module.
2. The system of claim 1 , further comprising:
a click data module on the wagering network that continuously polls the one or more gaming devices for selected actions, wherein each gaming device is associated with a user ID.
3. The system of claim 2 , wherein the click data module transmits data associated with the selected actions to the wagering system upon the user selecting an action on an interface of the wagering network that is displayed on the one or more gaming devices.
4. The system of claim 3 , wherein the correlation module on the wagering network processes the data transmitted by the click data module to determine correlations related to the selected actions and associates the correlations with the user ID.
5. The system of claim 4 , wherein the cohort module processes the correlations associated with the user ID, compares the correlations associated with the user ID to a plurality of correlations associated with different user IDs to determine related correlations as the cohort behavior, and groups the user ID in a cohort group having the related correlations.
6. The system of claim 5 , further comprising:
sending a notification to the gaming device associated with the user ID after the cohort behavior associated with the user ID is determined.
7. The system of claim 6 , wherein the notification contains an incentive to place a wager.
8. The system of claim 1 , wherein the cohort behavior is based on an analysis of at least one of wager history, wager success, available funds, frequency of deposits, and timestamps of interactions with an interface associated with the wagering network.
9. A method of providing notifications on a wagering system, comprising:
collecting timestamped user activity data on an interface for a wagering network;
transmitting the collected timestamped user activity data to a cloud database associated with the wagering network;
correlating the collected timestamped user activity data;
creating at least one correlation coefficient;
comparing the at least one correlation coefficient to a wagering network incentive database to place the user in a cohort;
determining a cohort behavior of the cohort based on the correlated data; and
transmitting a notification to the interface, wherein the notification is transmitted automatically and contains information associated with the determined cohort behavior.
10. The method of claim 9 , wherein the timestamped user activity data comprises one or more actions associated viewing, analyzing, and placing wagers on the wagering network.
11. The method of claim 9 , wherein the interface is on a gaming device and further comprising:
displaying the interface and the transmitted notification on the gaming device.
12. The method of claim 9 , further comprising:
comparing the correlated data with correlated data associated with a plurality of other users on the wagering network to determine related correlations as the cohort behavior, and
grouping the user ID in a cohort group having the related correlations.