NUMERIOUS

/noo-mer-ee-uhs/

a group of people eager to find the story in the numbers

Numerious helps companies uncover what their customers truly want

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What We Do

Optimize

Pricing Scheme

Key Selling Points

Webpage Content

Feature Trade-Offs

Campaign Marketing Messages

OUR FOCUS

Discover Our Expertise

CONSULTING

Partner with our team to answer key business objectives in any industry from tech to subscription services to consumer goods to financial services. We can help in all aspects of your research project from design, to programming, to analysis and reporting. Our expertise includes Conjoint Analysis, MaxDiff, Segmentation, TURF Analysis, market simulations and more.

TRAINING

Interested in growing your team's knowledge of discrete choice techniques? Schedule an in-person or online training specific to your business. We combine our love of teaching with years of experience to bring your team's capabilities to the next level. New to conjoint and MaxDiff? That's okay! Each training is customized to fit your needs.

Does your company need our services? Message us today.

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"We place tremendous value in our partnership with Numerious Inc. The team is on the cutting edge of all things marketing science, and we rely on them to bring the best advanced analytics so we can maximize the value of the research. Via training sessions, Megan ensures we’re in-the-know on the latest happenings in her world and uses case studies to bring the information to life. We’ll continue to partner with Numerious for their creative thinking, collaboration, client-friendly nature and all around data rockstars."

EVP, Corporate Strategy & Innovation

MEGAN PEITZ

Founder

A self-proclaimed nerd with her master’s in mathematics and statistics, Megan Peitz has challenged stereotypes as the female owner of Numerious Inc. With over 15 years of marketing research experience, Megan has helped some of the world's largest companies fine tune their products and services using math.

Megan has a passion for teaching and is a consistent guest speaker at the University of Michigan (UofM) Ross School of Business, University of California Los Angeles (UCLA) Anderson School of Management and University of Virginia (UVA) Darden School of Business.

She has also presented at many industry conferences on discrete choice techniques and dedicates time to mentor females interested in STEM careers. Most recently, Megan's work on large item sets in MaxDiff (Best-Worst Scaling) was published in the Journal of Choice Modeling (2019) and her work on large attribute sets in Conjoint analysis won best paper at the 2019 Sawtooth Software Conference.