In the second part of our two-part series on conjoint analysis utilizing the Corus platform, Kevin walks through the results of the sample survey.

Drew Chambers (VP of Marketing) took a conjoint-based survey 20 times focused on the aspects of high-end bicycles that he might consider when buying a new bike. Kevin chose to use an adaptive conjoint question survey instead of MaxDiff because Corus believes that the cognitive load on MaxDiff is too high when there are multiple attributes or variables. Kevin, who knows nothing about bikes, is able to pinpoint exactly the right mix of features to accurately predict the perfect bike for Drew utilizing an adaptive conjoint analysis. A really cool result!

Topics: Insider, conjoint, conjoint analysis, hardmath

Utilizing the Corus platform for the first time in this series, Kevin Mabe will show how a conjoint analysis is set up, and what to expect.

This is a particularly interesting video, as Drew Chambers (VP Marketing Corus and avid cyclist) is very involved in the construction of this survey. In this episode Kevin will construct a conjoint analysis utilizing the Corus platform, and show how we perform a basic adaptive conjoint question survey. We'll be setting up the adaptive conjoint analysis utilizing a set of factors around buying a bike. Drew will then take the survey several times to come to a finished product around what factors are most important in his buying decision.

Topics: Insider, conjoint analysis, hardmath

In the second part of this series on Market Segmentation, Kevin Mabe walks through analyzing the results and robustness of our analysis.

 

Topics: Insider, hardmath, market segmentation

Our co-founder and CEO Jason Abromaitis joined Megan Hottman on the Maximum Enthusiasm podcast, sharing what it's like to run a startup and also juggle all the other pieces in life. Check it out!

Topics: podcast

In the first part of a two part series, Kevin Mabe, Chief Analytics Officer for Corus, talks about determining a purpose for market segmentation studies, and the benefits of performing this type of analysis.

Topics: Insider, market research, data analysis, hardmath, market segmentation

Working in the agency world (marketing, creative, digital, etc.) requires not only an intimate knowledge of your prospects, but their target customers as well.

Corus's robust platform isn't just for companies looking to find out about their customers or potential customers (or employees, or constituents...the list goes on :)). It's also a really valuable sales and operating tool for creative agencies.

Topics: use case, marketing agencies

In the third part of our "Hard Math with Kevin" series with Kevin Mabe, our Chief Analytics Officer, we dive into the final analysis of a predictive model

Checking the robustness of your models is just as important as setting up the models correctly. Kevin walks us through how to avoid the pitfalls there.

Topics: Insider, market research, data analysis

The second part in a three-part video series about predictive modeling. Kevin addresses the Confusion Matrix, and some of the common mistakes made at this stage.

Predictive modeling is hard. Thankfully our Chief Analytics Officer Kevin Mabe is here to help.

Topics: Insider, market research, dataresearch, predictiveanalytics, predictivemodeling

The good folks at Insight Platforms chose Corus as one of the best research marketplaces available

"It's ambitious, and one to watch"

Topics: Insider, market research, in the news

Conjoint analysis is the best way to get the most out of bundles. How does a team collaborate with this powerful tool to get the most out of their bundling strategy?

In a previous post, here, we introduced conjoint - its background, uses, and values. In this mini-post, we’ll focus on two specific industries we work with extensively - insurance and restaurant providers. What do these seemingly unrelated industries have in common? Bundles.

Topics: data analysis, dataresearch, conjoint, conjoint analysis, restaurants, bundling, insurance