Systems and methods for attributing electronic purchase events to previous online and offline activity of the purchaser

1. A method of attributing payment vehicle purchase events to activity, the method comprising:

receiving, by a profiler computing system by way of a networked user device, purchase information associated with a completed purchase event of a purchaser using a payment vehicle;

identifying, by a processor of the profiler computing system, a purchaser profile associated with the purchaser, the purchaser profile comprising payment vehicle data and a tracking element and wherein the identifying the purchaser profile comprises:

accessing, using the processor of the profiler computing system, a database of the profiler computer system, wherein the database comprises a plurality of purchaser profiles and wherein each of the plurality of purchaser profiles comprises payment vehicle data and tracking element data;

comparing, using the processor of the profiler computing system, the payment vehicle associated with the completed purchase event to the payment vehicle data of each of the plurality of purchaser profiles; and

identifying, using the processor of the profiler computing system, the purchaser profile by identifying a match between the payment vehicle and the payment vehicle data of one of the plurality of purchaser profiles;

generating, by an electronic transaction processor, one or more payment vehicle tokens based on the payment vehicle data;

affiliating, by the processor of the profiler computing system, the tracking element of the identified purchaser profile to the one or more of payment vehicle tokens;

generating, by the processor of the profiler computing system and based on data obtained from the tracking element affiliated with the one or more payment vehicle tokens, an attribution report that identifies that the completed purchase event is attributed to a non-purchase activity of the purchaser, wherein the non-purchase activity comprises interaction of the purchaser with an advertisement promoting a product category of a merchant; and

quantifying, based on analysis of the attribution report by the processor of the profiler computing system, an influential effect of the advertisement, wherein the quantifying comprises:

identifying, using the processor of the profiler computing system, that the completed purchase event corresponded to a product associated with the product category sold by another merchant; and

determining, using the processor of the profiler computing system and based on attribution report, that the advertisement facilitated the completed purchase event of the product.

2. The method of claim 1 , the method further comprising:

receiving, by the profiler computing system, initial online purchase information associated with an initial online completed purchase event of the purchaser;

generating, by the profiler computing system, the purchaser profile associated with the purchaser based on the initial online purchase information;

storing, by the profiler computing system, the generated purchaser profile associated with the purchaser in the profile data store; and

determining, by the processor of the profiler computing system, the strength of attributing the completed purchase event to the non-purchase activity of the purchaser based on the initial online purchase information.

3. The method of claim 1 , further comprising:

requesting, by the profiler computing system and from a data aggregator computing system, environmental and/or behavioral data associated with the tracking element of the identified purchase profile; and

receiving, by the profiler computing system and from the data aggregator computing system, the environmental and/or behavioral data associated with the tracking element of the identified purchase profile.

4. The method of claim 3 , wherein the environmental and/or behavioral data received from the data aggregator computing system comprises one or more of:

geographical data of the purchaser;

temporal data of the purchaser;

online activity tracking data and electronic advertisement interaction data; and

geographical, temporal, or online activity tracking data or electronic advertisement interaction data received from a third party.

5. The method of claim 3 , wherein the environmental and/or behavioral data received from the data aggregator computing system comprises a message indicating that previous environmental and/or behavioral data associated with the tracking element is nonexistent.

6. The method of claim 3 , wherein requesting the environmental and/or behavioral data comprises transmitting the tracking element to the data aggregator computing system.

7. The method of claim 1 , further comprising:

analyzing, by the profiler computing system, the non-purchase activity of the purchaser as a function of environmental and/or behavioral data.

8. The method of claim 1 , further comprising:

determining, by the profiler computing system, an attribution score based on the strength of attributing completed purchase event to the non-purchase activity of the purchaser; and

determining whether to attribute the completed purchase event to the non-purchase activities of the purchaser based on determining whether the attribution score is above a predetermining threshold.

9. A system for attributing payment vehicle purchase events to previous activity of a purchaser, the system comprising:

a profiler computing device comprising a processor executing instructions stored in memory, wherein the instructions cause the processor to:

receive, by a profiler computing system by way of a networked user device, purchase information associated with a completed purchase event of a purchaser using a payment vehicle;

identify, by a processor of the profiler computing system, a purchaser profile associated with the purchaser, the purchaser profile comprising payment vehicle data and a tracking element and wherein the identifying the purchaser profile comprises:

accessing, using the processor of the profiler computing system, a database of the profiler computer system, wherein the database comprises a plurality of purchaser profiles and wherein each of the plurality of purchaser profiles comprises payment vehicle data and tracking element data;

comparing, using the processor of the profiler computing system, the payment vehicle associated with the completed purchase event to the payment vehicle data of each of the plurality of purchaser profiles; and

identifying, using the processor of the profiler computing system, the purchaser profile by identifying a match between the payment vehicle and the payment vehicle data of one of the plurality of purchaser profiles;

generate, by an electronic transaction processor, one or more payment vehicle tokens based on the payment vehicle data;

affiliate, by the processor of the profiler computing system, the tracking element of the identified purchaser profile to the one or more of payment vehicle tokens;

generate, by the processor of the profiler computing system and based on data obtained from the tracking element affiliated with the one or more payment vehicle tokens, an attribution report that identifies that the completed purchase event is attributed to a non-purchase activity of the purchaser, wherein the non-purchase activity comprises interaction of the purchaser with an advertisement promoting a product category of a merchant; and

quantify, based on analysis of the attribution report by the processor of the profiler computing system, an influential effect of the advertisement, wherein the quantifying comprises:

identifying, using the processor of the profiler computing system, that the completed purchase event corresponded to a product associated with the product category sold by another merchant; and

determining, using the processor of the profiler computing system and based on attribution report, that the advertisement facilitated the completed purchase event of the product.

10. The system of claim 9 , wherein the instructions further cause the processor to:

receive, by the profiler computing system, initial online purchase information associated with an initial online completed purchase event of the purchaser;

generate, by the profiler computing system, the purchaser profile associated with the purchaser based on the initial online purchase information;

store, by the profiler computing system, the generated purchaser profile associated with the purchaser in the profile data store; and

determine, by the processor of the profiler computing system, the strength of attributing the completed purchase event to the non-purchase activity of the purchaser based on the initial online purchase information.

11. The system of claim 9 , wherein the instructions further cause the processor to:

request, by the profiler computing system and from a data aggregator computing system, environmental and/or behavioral data associated with the tracking element of the identified purchase profile; and

receive, by the profiler computing system and from the data aggregator computing system, the environmental and/or behavioral data associated with the tracking element of the identified purchase profile.

12. The system of claim 11 , wherein the environmental and/or behavioral data received from the data aggregator computing system comprises one or more of:

geographical data of the purchaser;

temporal data of the purchaser;

online activity tracking data and electronic advertisement interaction data; and

geographical, temporal, or online activity tracking data or electronic advertisement interaction data received from a third party.

13. The system of claim 11 , wherein the environmental and/or behavioral data received from the data aggregator computing system comprises a message indicating that previous environmental and/or behavioral data associated with the tracking element is nonexistent.

14. The system of claim 11 , wherein requesting the environmental and/or behavioral data comprises transmitting the tracking element to the data aggregator computing system.

15. The system of claim 9 , wherein the instructions further cause the processor to:

analyze, by the profiler computing system, the non-purchase activity of the purchaser as a function of environmental and/or behavioral data.

16. The system of claim 9 , wherein the instructions further cause the processor to:

determine, by the profiler computing system, an attribution score based on the strength of attributing completed purchase event to the non-purchase activity of the purchaser; and

determine whether to attribute the completed purchase event to the non-purchase activities of the purchaser based on determining whether the attribution score is above a predetermining threshold.

17. A non-transitory machine-readable medium stores instructions that, when executed by a profiler computing system, causes the profiler computing system to perform a method for attributing payment vehicle purchase events to previous activity of a purchaser, the method comprising:

receiving, by a profiler computing system by way of a networked user device, purchase information associated with a completed purchase event of a purchaser using a payment vehicle;

identifying, by a processor of the profiler computing system, a purchaser profile associated with the purchaser, the purchaser profile comprising payment vehicle data and a tracking element and wherein the identifying the purchaser profile comprises:

accessing, using the processor of the profiler computing system, a database of the profiler computer system, wherein the database comprises a plurality of purchaser profiles and wherein each of the plurality of purchaser profiles comprises payment vehicle data and tracking element data;

comparing, using the processor of the profiler computing system, the payment vehicle associated with the completed purchase event to the payment vehicle data of each of the plurality of purchaser profiles; and

identifying, using the processor of the profiler computing system, the purchaser profile by identifying a match between the payment vehicle and the payment vehicle data of one of the plurality of purchaser profiles;

generating, by an electronic transaction processor, one or more payment vehicle tokens based on the payment vehicle data;

affiliating, by the processor of the profiler computing system, the tracking element of the identified purchaser profile to the one or more of payment vehicle tokens;

generating, by the processor of the profiler computing system and based on data obtained from the tracking element affiliated with the one or more payment vehicle tokens, an attribution report that identifies that the completed purchase event is attributed to a non-purchase activity of the purchaser, wherein the non-purchase activity comprises interaction of the purchaser with an advertisement promoting a product category of a merchant; and

quantifying, based on analysis of the attribution report by the processor of the profiler computing system, an influential effect of the advertisement, wherein the quantifying comprises:

identifying, using the processor of the profiler computing system, that the completed purchase event corresponded to a product associated with the product category sold by another merchant; and

determining, using the processor of the profiler computing system and based on attribution report, that the advertisement facilitated the completed purchase event of the product.

18. The non-transitory machine-readable medium of claim 17 , the method further comprising:

receiving, by the profiler computing system, initial online purchase information associated with an initial online completed purchase event of the purchaser;

generating, by the profiler computing system, the purchaser profile associated with the purchaser based on the initial online purchase information;

storing, by the profiler computing system, the generated purchaser profile associated with the purchaser in the profile data store;

determining, by the processor of the profiler computing system, the strength of attributing the completed purchase event to the non-purchase activity of the purchaser based on the initial online purchase information;

analyzing, by the profiler computing system, the non-purchase activity of the purchaser as a function of environmental and/or behavioral data;

determining, by the profiler computing system, an attribution score based on the strength of attributing completed purchase event to the non-purchase activity of the purchaser; and

determining whether to attribute the completed purchase event to the non-purchase activities of the purchaser based on determining whether the attribution score is above a predetermining threshold.

19. The non-transitory machine-readable medium of claim 17 , the method further comprising:

requesting, by the profiler computing system and from a data aggregator computing system, environmental and/or behavioral data associated with the tracking element of the identified purchase profile;

receiving, by the profiler computing system and from the data aggregator computing system, the environmental and/or behavioral data associated with the tracking element of the identified purchase profile; and

requesting the environmental and/or behavioral data comprises transmitting the tracking element to the data aggregator computing system.

20. The non-transitory machine-readable medium of claim 17 , wherein the environmental and/or behavioral data received from the data aggregator computing system comprises one or more of:

geographical data of the purchaser;

temporal data of the purchaser;

online activity tracking data and electronic advertisement interaction data;

geographical, temporal, or online activity tracking data or electronic advertisement interaction data received from a third party; and

a message indicating that previous environmental and/or behavioral data associated with the tracking element is nonexistent.