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Confusion Analysis: The 13 DuPont Factors

Written by Howard Katzenberg
Updated today

The DuPont analysis evaluates likelihood of confusion between two trademarks using the 13 factors established in In re E. I. du Pont de Nemours & Co. (1973). GleanMark automates this analysis using a combination of AI evaluation and deterministic database metrics.

What You Can Do

  • Compare any two trademarks for likelihood of confusion

  • Get a scored assessment across all 13 DuPont factors

  • See an overall risk level: Low, Moderate, High, or Very High

  • Review detailed analysis with citations and evidence

  • Share results via a public link

  • Access saved analyses from the Analysis Hub

How It Works

  1. Start from comparison — select exactly 2 marks from search results and click “Confusion Analysis”, or go to /confusion-analysis

  2. Confirm the marks — verify the two serial numbers being compared

  3. Wait for analysis — GleanMark evaluates each factor (typically under 60 seconds)

  4. Review results — each factor shows a finding, evidence, and contribution to the overall risk level

The 13 Factors

#

Factor

How GleanMark Evaluates It

1

Similarity of the Marks

AI analysis of appearance, sound, and meaning

2

Goods/Services Relatedness

AI analysis of class overlap and complementary goods

3

Trade Channels & Purchasers

AI analysis with business intelligence data

4

Conditions of Sale

AI evaluation of consumer sophistication and price points

5

Fame of the Prior Mark

AI assessment (flagged only for household-name brands)

6

Similar Marks in Use

Database metrics — field crowding analysis

7

Actual Confusion Evidence

Not assessed (requires real-world survey data)

8

Concurrent Use Without Confusion

Computed from first-use dates and registration timelines

9

Variety of Goods

Computed from the senior mark’s Nice class count

10

Market Interface

AI analysis when business intelligence is available

11

Right to Exclude Others

Not assessed (requires legal determination)

12

Potential Confusion

AI synthesis of all available evidence

13

Other Probative Facts

Not assessed (case-specific)

Factors 7, 11, and 13 require evidence that can’t be determined from USPTO records alone — these are noted as requiring additional investigation.

Overall Risk Level

The analysis produces an overall risk assessment:

Risk Level

What It Means

Very High

Marks are highly likely to cause confusion

High

Significant confusion risk — proceed with caution

Moderate

Some risk factors present — further investigation warranted

Low

Minimal confusion risk based on available factors

The report also includes a similarity score (0-100) and qualitative labels for how similar the marks are overall.

Tips

  • Factor 1 (mark similarity) and Factor 2 (goods relatedness) carry the most weight — if both are high, confusion is likely regardless of other factors

  • Factor 6 (field crowding) can help your case — a crowded field means consumers are accustomed to distinguishing similar marks

  • Factor 8 (concurrent use) helps established marks — a long coexistence period without confusion is strong evidence

  • Use the analysis in OA responses — DuPont factor analysis is directly relevant to Section 2(d) refusal arguments

What’s Included in Each Plan

Feature

Starter

Professional

Firm

DuPont analyses

1/month (then $19 each)

5/seat/month (then $19 each)

Unlimited

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