Clickstream analysis methods and systems related to determining actionable insights relating to a path to purchase

Abstract

Methods and systems are provided herein for collecting web browser click events across a plurality of web sites from a data collection agent (DCA), as a click-stream, at a data collection server (DCS) to record and provide user on-line activity, filtering the user online activity to include activity from a time period prior to a sale from the sales transaction data and identifying one or more shopping touch-points based on the filtered user online activity and the sales transaction data. Further, an engagement index, an influence index, and an opportunity index is calculated. A digital touch-points facility may perform the identifying and calculating.

What is claimed is: 
     
         1 . A method, comprising:
 receiving online activity of a user;   receiving sales transaction data of a user;   matching the sales transaction data to the online activity;   filtering the online activity to include activity from a time period prior to a sale from the sales transaction data; and   identifying one or more shopping touch-points based on the filtered online activity and the sales transaction data.   
     
     
         2 . The method of  claim 1 , wherein matching the sales transaction data to the online activity comprises using at least one of address, name, phone number, email address, and credit card number. 
     
     
         3 . The method of  claim 1 , wherein receiving the sales transaction data of the user comprises surveying the user to collect the sales transaction data. 
     
     
         4 . The method of  claim 1 , wherein the sales transaction data includes offline behavior related to sales. 
     
     
         5 . The method of  claim 1 , wherein the sales transaction data includes one or more of a date of transaction, a time of transaction, a method of payment, a type of good(s) or service(s) transacted, and a merchant. 
     
     
         6 . The method of  claim 1 , further comprising receiving preference data. 
     
     
         7 . The method of  claim 6 , wherein the preference data indicates whether the user prefers visiting an offline store and/or a website to view a product prior to purchase. 
     
     
         8 . The method of  claim 1 , wherein receiving the online activity of a user comprises recording web browser click events including uniform resource locator (URL) data across a plurality of web sites. 
     
     
         9 . The method of  claim 8 , further comprising:
 receiving a list of URL rules;   determining that one or more of the URL rules apply to the URL data; and   applying the one or more URL rules to the URL data.   
     
     
         10 . The method of  claim 1 , further comprising determining a path to purchase of the user based on the one or more shopping touch-points. 
     
     
         11 . The method of  claim 10 , further comprising identifying cross-shopping behavior for a product based on the filtered user online activity. 
     
     
         12 . The method of  claim 11 , further comprising modifying an online promotional process and an offline promotional process for the product based on the path to purchase of the user and the cross-shopping behavior. 
     
     
         13 . The method of  claim 12 , wherein modifying the online and the offline promotional processes comprises generating an online dialogue between users and a provider of the product. 
     
     
         14 . The method of  claim 12 , further comprising modifying an online promotional process for a second product complementary to the product. 
     
     
         15 . The method of  claim 1 , further comprising calculating actual shopper engagement with a touch-point based on a percent of total shoppers interacting with the touch-point and an intensity of those interactions. 
     
     
         16 . The method of  claim 15 , further comprising calculating an influence index representing a probability of the touch-point interaction influencing the user's final action. 
     
     
         17 . The method of  claim 15 , further comprising calculating an opportunity index representing a competitive view of touch-point interactions. 
     
     
         18 . The method of  claim 1 , wherein the online activity occurs on at least one of a computer, a tablet, and a mobile device. 
     
     
         19 . A system, comprising:
 at least one processor; and   at least one storage device in communication with the at least one processor, wherein the at least one storage device stores instructions that, when executed by the at least one processor, effectuate operations comprising:
 receiving online activity of a user; 
 receiving sales transaction data of a user; 
 matching the sales transaction data to the online activity; 
 filtering the online activity to include activity from a time period prior to a sale from the sales transaction data; and 
 identifying one or more shopping touch-points based on the filtered online activity and the sales transaction data. 
   
     
     
         20 . A non-transitory computer-readable medium comprising instructions executable by at least one processor to perform a method, the method comprising:
 receiving online activity of a user;   receiving sales transaction data of a user;   matching the sales transaction data to the online activity;   filtering the online activity to include activity from a time period prior to a sale from the sales transaction data; and   identifying one or more shopping touch-points based on the filtered online activity and the sales transaction data.