Adobe Patent for Causal Multi-Touch Attribution Granted
Summary
The USPTO has granted Adobe Inc. a patent (US12585924B2) for a method and apparatus for causal multi-touch attribution. The patent describes a system using temporal convolution networks to analyze precursor events and compute attribution values for event categories, filed in October 2021.
What changed
The United States Patent and Trademark Office (USPTO) has granted patent US12585924B2 to Adobe Inc. for a system and method related to causal multi-touch attribution. The patent, filed on October 27, 2021, details an apparatus that utilizes a time series component and a temporal convolution network to generate ordered series of precursor events and compute attribution values for different event categories. This technology aims to provide a more sophisticated analysis of marketing campaign effectiveness by understanding the causal relationships between various touchpoints.
This patent grant is primarily an intellectual property development for Adobe and does not impose new regulatory obligations on other entities. However, it signifies a technological advancement in marketing analytics that could influence future industry standards or competitive landscapes. Compliance officers in marketing technology or advertising may note this development as a potential indicator of evolving attribution methodologies and the increasing sophistication of AI in marketing analysis.
Source document (simplified)
Causal multi-touch attribution
Grant US12585924B2 Kind: B2 Mar 24, 2026
Assignee
ADOBE INC.
Inventors
Aniket Agrawal, Nikhil Sheoran, Gaurav Sinha
Abstract
An apparatus and method for causal multi-touch attribution are described. One or more aspects of the apparatus and method include a time series component configured to generate an ordered series representing a plurality of precursor events corresponding to a result event, wherein each of the precursor events is associated with an event category from a set of event categories; a temporal convolution network configured to generate a series of predictive values corresponding to the plurality of precursor events by computing a plurality of hidden vector representations for at least one of the precursor events; and an attribution component configured to compute an attribution value for each of the event categories based on the series of predictive values.
CPC Classifications
G06N 3/049 G06N 3/18 G06N 3/0464 G06Q 30/01
Filing Date
2021-10-27
Application No.
17452519
Claims
7
Named provisions
Related changes
Source
Classification
Who this affects
Taxonomy
Browse Categories
Get Banking & Finance alerts
Weekly digest. AI-summarized, no noise.
Free. Unsubscribe anytime.
Get alerts for this source
We'll email you when ChangeBridge: Patent Grants - Business Methods (G06Q) publishes new changes.