Systems and methods for displaying filters and intercepts leveraging a predictive analytics architecture
A system and method are disclosed for improving searching functionalities using graphical user interfaces. A web-based platform receives data relating to user activity during a search session, and furthermore presents suggested actions and/or search refinements based on the user activity. Processing modules include logic for identifying patterns and/or indicators in the user activity, and furthermore match detected patterns and/or indicators with suggested actions. The suggested actions are presented on the graphical user interface for allowing a user to refine the search session without exiting or terminating the search session.
1. A system comprising:
a server comprising a processor, wherein the server is operatively connected to an electronic computing device and is configured to receive search session data in an uninterrupted data flow from the electronic computing device, the search session data corresponding to a user continuously viewing and interacting with one or more property listings included in a property listing search session presented on a display at the electronic computing device, wherein the property listing search session comprises a presentment of a plurality of property listings displayed as visually-presentable data objects in a linear scrollable arrangement, and wherein the processor is configured to:
process the search session data to identify search session patterns or indicators representative of user search behavior;
match a particular user action suggestion to identified user search patterns or indicators within the search session data; and
transmit the particular user action suggestion to the electronic computing device as a particular visually-presentable data object, wherein the particular user action suggestion is presented on the display at the electronic computing device as the particular visually-presentable data object positioned between two other visually-presentable data objects in the linear scrollable arrangement representing two property listings of the plurality of property listings in response to the user scrolling through the linear scrollable arrangement.
2. The system of claim 1 , wherein the processor is further configured to process the search session data via executing:
static logic comprising predetermined logic, wherein in response to executing the static logic the processor identifies predetermined search patterns or indicators within the search session data; and
dynamic logic comprising machine learning-generated logic, wherein in response to executing the dynamic logic the processor identifies search patterns or indicators within the search session data not identifiable by the static logic, wherein the machine learning-generated logic is automatically reconfigured in response to identifying search patterns or indicators in the search session data.
3. The system of claim 1 , wherein the particular user action suggestion comprises:
instructions to modify the display at the electronic computing device to present suggested property listing search refinement parameters; and
instructions to establish a connection back to the server to return selected property listing search refinement parameters received in response to the user engaging with the particular user action suggestion.
4. The system of claim 3 , wherein the selected property listing search refinement parameters comprise data relating to user interaction with an adjustable slide bar or selection of property listing search parameters.
5. The system of claim 3 , wherein the processor is further configured to:
receive the selected property listing search refinement parameters in response to the user interacting with the particular user action suggestion; and
transmit one or more refined property listings to the electronic computing device to be presented on the display, wherein the one or more refined property listings comprise property listing characteristics included in the selected property listing search refinement parameters.
6. The system of claim 1 , wherein the indicators included in the search session data comprise total time spent viewing the particular property listing.
7. The system of claim 1 , wherein the server comprises third-party user data corresponding to a geolocation associated with the one or more property listings, and further comprising searched parameters by a plurality of different users associated with the geolocation.
8. The system of claim 1 , wherein the search session data comprises real-time or historical data corresponding to the user's or other users' trends in searching property listings on electronic computing devices.
9. The system of claim 1 , wherein the particular user action suggestion is presented in-line with one or more property listings of the property listing search session, wherein the particular user action suggestion is presented in a visual format comprising dimensions matching those of the one or more property listings.
10. The system of claim 1 , wherein the particular user action suggestion is presented as a slide-out notification visually resembling the one or more property listings.
11. A method executed via a server comprising a processor, wherein the processor is operatively connected to an electronic computing device and is configured to receive search session data in an uninterrupted data flow from the electronic computing device, the search session data corresponding to a user continuously viewing and interacting with one or more property listings included in a property listing search session presented on a display at the electronic computing device, wherein the property listing search session comprises a presentment of a plurality of property listings displayed as visually-presentable data objects in a linear scrollable arrangement, the method comprising the steps of:
processing the search session data to identify search session patterns or indicators representative of user search behavior;
matching a particular user action suggestion to identified user search patterns or indicators within the search session data; and
transmitting the particular user action suggestion to the electronic computing device as a particular visually-presentable data object, wherein the particular user action suggestion is presented on the display at the electronic computing device as the particular visually-presentable data object positioned between two other visually-presentable data objects in the linear scrollable arrangement representing two property listings of the plurality of property listings in response to the user scrolling through the linear scrollable arrangement.
12. The method of claim 11 , further comprising the steps of:
processing the search session data via executing static logic comprising predetermined logic, wherein in response to executing the static logic the processor identifies predetermined search patterns or indicators within the search session data; and
processing the search session data via executing dynamic logic comprising machine learning-generated logic, wherein in response to executing the dynamic logic the processor identifies search patterns or indicators within the search session data not identifiable by the static logic, wherein the machine learning-generated logic is automatically reconfigured in response to identifying search patterns or indicators in the search session data.
13. The method of claim 11 , wherein the particular user action suggestion comprises:
instructions to modify the display at the electronic computing device to present suggested property listing search refinement parameters; and
instructions to establish a connection back to the server to return selected property listing search refinement parameters received in response to the user engaging with the particular user action suggestion.
14. The method of claim 13 , wherein the selected property listing search refinement parameters comprise data relating to user interaction with an adjustable slide bar or selection of property listing search parameters.
15. The method of claim 13 , further comprising the steps of:
receiving the selected property listing search refinement parameters in response to the user interacting with the particular user action suggestion; and
transmitting one or more refined property listings to the electronic computing device to be presented on the display, wherein the one or more refined property listings comprise property listing characteristics included in the selected property listing search refinement parameters.
16. The method of claim 11 , wherein the indicators included in the search session data comprise total time spent viewing the particular property listing.
17. The method of claim 11 , wherein the server comprises third-party user data corresponding to a geolocation associated with the one or more property listings, and further comprising search parameters by a plurality of different users associated with the geolocation.
18. The method of claim 11 , wherein the search session data comprises real-time or historical data corresponding to the user's or other users' trends in searching property listings on electronic computing devices.
19. The method of claim 11 , wherein the particular user action suggestion is presented in-line with one or more property listings of the property listing search session, wherein the particular user action suggestion is presented in a visual format comprising dimensions matching those of the one or more property listings.
20. The method of claim 11 , wherein the particular user action suggestion is presented as a slide-out notification visually resembling the one or more property listings.