ON-DEMAND WEBINAR

Token-Based Conjoint: 
A New Framework For Too Many Attributes

Traditional conjoint methods fall short when testing too many product features. Join Megan Peitz, Founder & CEO of Numerious, a company with back-to-back Sawtooth Research Conference Best Paper Awards, as she shares Token-Based Conjoint (TBC) – a breakthrough methodology for products with numerous attributes.

Learn how TBC delivers clearer insights by optimizing choice experiments, giving you more accurate predictions for complex products and subscription services.

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Megan Peitz

Founder & CEO | Numerious 

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What you will learn

1

Why Traditional Methods Fail

Understand the limitations of MaxDiff and traditional conjoint when testing products with numerous features, and why cognitive overload leads to lower quality data.

2

How Token-Based Conjoint Works

Learn the mechanics of TBC's innovative approach – from dynamic token allocation to dual-response questioning – and see real examples of how it delivers superior results compared to traditional methods.

3

Practical Implementation Steps

Gain actionable knowledge on how to set up your own TBC studies, including experimental design, choice task construction, and modeling approaches to extract maximum insights from your data.