Past Webinars

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Our completed webinar offerings are listed below.
These recordings are available for $289 or 1/2 off with an IFPresentations™ subscription.

Sensory Difference Tests
Replicated Preference Testing to Diagnose Consumer Segmentation

In blind consumer preference testing, consumers do not always make consistent choices. This situation will most likely occur when the products tested are similar or exhibit significant... more

Preference without a Significant Sensory Difference? A Solution

Historically, when using discrimination testing methodologies, decisions have been made using statistics and the hypothesis of no difference. Due to the high costs and time constraints of... more

An Introduction to Thurstonian Modeling - PART 1

Product reformulations in response to cost or health initiatives have pushed discrimination testing back to the forefront of sensory science. While many experimental approaches are possible... more

An Introduction to Thurstonian Modeling - PART 2

As a follow-up of our previous webinar entitled “Introduction to Thurstonian modeling - PART 1”, this presentation will continue our description of the background of Thurstonian modeling... more

Advances in Tetrad Testing

Sensory professionals are challenged on a daily basis to provide meaningful guidance with a near absence of resources. “Reduce costs! Change the manufacturing process! Substitute ingredients! But do not reduce... more

Developing Consumer Relevant Action Standards for Sensory Difference Testing

A recurring business dilemma that sensory is asked to resolve is to determine when the difference between two products is consumer relevant. But establishing this knowledge ... more

Precision of Measurement in Sensory Difference Testing

In the evaluation of new incarnations of existing products, difference testing is among the most commonly used sensory techniques. Although difference testing is a classical technique, however... more

Discrimination Testing with Batch-to-Batch Variability

Discrimination testing is routinely used in the food and personal care industries to investigate candidates for product match or improvement. Traditional discrimination testing method... more

How to Calculate Consumer Relevant Risk using Sensory Difference Tests

The business role of sensory difference testing necessitates a shift in focus from “yes”/”no” answers towards a measurement and risk-based approach. Using this approach, it is possible.... more

Derived Preference and Difference from Applicability Scoring

Applicability scoring involves declaring that a statement applies or does not apply to an item. In survey research the method is called “forced choice CATA” and was shown to lead to deeper.... more

Advertising Claims Support
Supporting Count-Based Sensory Advertising Claims

In a recent challenge involving a comparison of 3D televisions, an advertiser claimed that “4 out of 5” people preferred the quality of their picture. No statistics were performed and the confidence... more

Issues in Supporting “Up-to” Claims

In a 2012 settlement with windows marketers, the Federal Trade Commission (FTC) stated that "up to" and similar claims must be supported by "competent and reliable scientific evidence... more

Claiming Equivalence, Unsurpassed, and Superiority Simultaneously

It may seem odd that a claim could be made that a product is both superior and equivalent to a competitor at the same time with the same data. But this situation is technically justified based on the equivalence ... more

Supporting Numerical Superiority Claims

Numerical superiority claims such as “2 out of 3” or “3 out of 5 people prefer…” are powerful and commonly used to promote products. Sometimes these claims involve performance numbers based simply on the actual... more

Drivers of Liking® and Landscape Segmentation Analysis®
Mapping Techniques to Link Consumer and Expert Data

Multivariate analyses are commonly used to study differences among products in a multidimensional sensory space and to relate them to their hedonic assessments by consumers ... more

Understanding the Consumer: Preference Mapping vs. LSA®

Every year, consumer goods and service companies invest significant portions of their research budget to investigate, understand, and address consumer needs. A common investigative .... more

Combinatorial Tools
Hiding in Plain Sight: Finding New Opportunities using Graph Theory

It may seem paradoxical or even impossible to innovate within an established product category, given the number of existing products on the market. Yet the number of possible combinations... more

Introduction to Graph Theoretic Tools

While sensory properties clearly affect a product’s market performance, considerations such as benefits, packaging, and advertising images also play a key role in product success... more

eTURF 2.0: A Cutting Edge TURF Solution for Datasets of All Sizes

TURF (Total Unduplicated Reach and Frequency) is a market research tool based on the media concepts of “reach” and “frequency” that is used within sensory and consumer science... more

Large TURF Problems: Finding Custom Solutions

In this webinar we will discuss how it’s now possible to gain insight into a wide variety of portfolio optimization problems in marketing science using a combination of internet-based research... more

Design Issues in Product Tests and Surveys
The Science of Answering Questions

This webinar offers an in-depth look at how people answer questions in surveys. We will take you through the process of operationalizing survey concepts, and how to improve... more

Developments in Applicability and CATA Scoring

Check-All-That-Apply (CATA) lists are commonly used in both survey research and sensory science. A related technique, referred to as applicability ... more

Invention and Innovation

You will learn four simple tools to turn inventions into innovations:

1) Link and foster relationships between inventors and innovators. Invention and innovation require different skills rarely found in the same person.
Don’t ignore “trivial” advances. Major innovations often have small, but profitable beginnings, and then are extended to other fields.
Be aware of movements that drive consumer interest.... more

Machine Learning
A Three-Step Approach to Characterizing Consumer Segmentation via Machine Learning

Throughout consumer research, the challenge of identifying and explaining consumer segmentation arises again and again. Specifically, when we seek to discover new product opportunities, to improve existing products, or to better understand the market within which our products operate, it is valuable to have a nuanced understanding of individual consumer differences together with knowledge of the key signals that drive those differences. .... more

Please feel free to contact us for more information about our webinar series.