Multi-touch attribution model for valuing impressions and other online activities

• US 9,891,967 B2
• Filed: 04/16/2015
• Issued: 02/13/2018
• Est. Priority Date: 04/07/2011
• Status: Active Grant

• Current Assignee: Aggregate Knowledge Incorporated (Neustar Incorporated)
• Original Assignee: Aggregate Knowledge Incorporated (Neustar Incorporated)
• Inventors: Curcio, Matthew David, Grzywinski, Robert Lawrence, Linsay, Benjamin Charles
• Primary Examiner(s): Singh, Gurkanwaljit
• Application Number:
  US14/688,184
• Publication Number:
  US 20150220974A1
• Time in Patent Office: 1,034 Days
• Field of Search: None
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions

Abstract

To implement a multi-touch attribution model, a conversion event resulting from user activity is programmatically detected. A set of events that precede the conversion event is identified. Respective events of the set occur on respective websites. The conversion event is attributed to multiple websites of the respective websites.

Claims

1. A method executed in a processor of a computing system, the method comprising:

detecting, using the processor, multiple conversion events performed at multiple websites in response to at least one online advertisement presented on the multiple websites;

determining, using the processor, that at least one of the multiple conversion events is a common conversion event amongst the multiple websites;

identifying, using the processor, a set of click events that precede the common conversion event, the set of click events interacting with the multiple websites; and

generating, using the processor, contribution values attributable to each website of the multiple websites based on the set of click events.

2. The method of claim 1, wherein each of the contribution values attributable to each of the multiple websites are diminished in accordance with a time preceding the common conversion event.

3. A non-transitory computer-readable storage medium storing one or more programs configured to be executed in a processor of a computer system, the one or more programs comprising instructions to:

detect multiple conversion events performed at multiple websites in response to at least one online advertisement presented on the multiple websites;

determine that at least one of the multiple conversion events is a common conversion event amongst the multiple websites;

identify a set of click events that precede the common conversion event, the set of click events interacting with the multiple websites; and

generate contribution values attributable to each of the multiple websites based on the set of click events.

4. The non-transitory computer-readable storage medium of claim 3, wherein each of the contribution values attributable to each of the multiple websites are diminished in accordance with a time preceding the common conversion event.