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Adobe Patent for Causal Multi-Touch Attribution Granted

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Published March 24th, 2026
Detected March 25th, 2026
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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)

← USPTO Patent Grants

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

View original document →

Named provisions

Causal multi-touch attribution

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US12585924B2

Who this affects

Applies to
Marketing Technology
Industry sector
5112 Software & Technology
Activity scope
Marketing Analytics Attribution Modeling
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Marketing Technology Data Analytics

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