Blog articles about Advanced Modeling

Turning terabytes of Big Data into insights

Turning terabytes of Big Data into insights

By Giacomo Sartori on February 10, 2020

A real-world market research case study with Big Data

The market research industry is no stranger to consumer data. However, the scale of “Big Data” generated through online behavior brings a host of challenges and opportunities for insights professionals and marketers alike. As consumers leave an endless supply of digital breadcrumbs online, how can we most effectively analyze and act on this behavior at the individual level?

Such was the challenge ArchDaily.com faced after amassing 20 terabytes of Big Data over the past three years. As the leading architectural website worldwide, interpreting this data was much more complicated than it had anticipated. With 150-200 million-page views a month, the company could see behavior volumes. However, ArchDaily.com didn’t know what was driving user behavior. It wanted to better predict architectural trends for and identify key drivers to optimize its online content strategy.

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Machine Learning: Top takeaways from MRS Data Analytics Conference

Machine Learning: Top takeaways from MRS Data Analytics Conference

By Joost van Ruitenburg on July 2, 2019

Exploring expert views on AI and the role of ‘stats’ in market research

Machine Learning (ML) is everywhere, from social media and virtual assistants to financial services and data security. For sales and marketing professionals, machine learning offers unprecedented analysis of big data. It holds the potential to decode increasingly layered buyer journeys. However, does machine learning truly have a role in market research, a field where we rely on analytical methods to understand nuanced and complex decision-making? Or, is statistical thinking still the essential analytical element behind the insights we deliver today?

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Why it’s time to optimize your approach to brand trackers

Why it’s time to optimize your approach to brand trackers

By Giacomo Sartori on February 20, 2019

Explore a driver analysis solution for analyzing stated and unstated factors

Tracking studies provide extensive information on brand perceptions over time. They play an important role in understanding what influences consumers and professionals to make decisions. However, as these groups become more empowered and have more choices to consider, your approach to brand trackers needs to evolve as well.

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Adaptiveness could be the key to predicting consumer preferences

Adaptiveness could be the key to predicting consumer preferences

By Jeroen Hardon on April 30, 2018

As telecom and technology markets are continually disrupted, our approach to their specific market research challenges needs to evolve with them.

What are you to do when you’re facing intense price competition, losing volume to the competition or launching new product innovations? Today’s digital consumers have more telecom and technology product options than ever before. For marketers in these industries, historical data will only take you so far when optimizing your product portfolio.

And the challenge only becomes more complex when you consider how today’s empowered consumers make purchase decisions differently than they did just a short time ago.

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MaxDiff – What’s the score?

MaxDiff – What’s the score?

By Jeroen Hardon on July 2, 2011

Have you come across the situation where many items (descriptions, statements or concepts) had to be put in preference order? Ranking and rating type questions are often used in these situations, although the last few years MaxDiff has been gaining more attention as a good alternative.

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