Introducing the Habitual-Deliberate Loop of Consumer Decision Behavior

By Christina Liao on November 26, 2018

How a new view on the purchase decision spectrum can drive better market research outcomes

I recently got in a taxi cab with a few colleagues and we were so engaged in conversation that we didn’t realize we weren’t moving until the driver asked: “So, where are you headed?” As heavy Uber customers, all of us were in the habit of not specifying a destination verbally since the app conveys all the pertinent details to the driver. We assumed that upon entering the car, the driver should know where to go!

On that taxi ride, we reflected how consumer behavior, and our habits, changed so drastically in a few short years thanks to new technology. Uber disrupted consumers’ traditional routine (hailing a taxi on the street) to form a new habit (grabbing your smartphone to “call” one). What started out as a deliberate new choice to use a rideshare app, quickly turned into an automatic, or habitual, behavior.

This scenario perfectly illustrates our view of the consumer decision behavior spectrum: The Habitual-Deliberate Decision Loop. Disruption of consumer behavior seems to be happening at a faster and 

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(Infographic) Voice Tech Trends in US, UK and Germany

By Cori Deutsch on November 15, 2018

With the increased adoption of voice technology, smart speakers and digital assistants, there’s no denying that Alexa, Siri and Google Home are changing consumer behavior. However, to what extent? Are consumers simply curious about these devices? Are their purchase decisions being guided by AI?  Will purchase trials shift to new shopping habits? 

As decision behavior experts, we set out to examine these questions by conducting research on consumer attitudes and adoption of voice technology in the U.S., U.K. and Germany (the markets the technology manufacturers have focused on). This infographic previews some of the research highlights.

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e-Commerce experts share advice for brands adapting to AI

By Julia Görnandt on October 02, 2018

Key takeaways on voice and digital assistants from ESOMAR Congress 2018

Artificial Intelligence, voice and digital assistants were all the buzz at ESOMAR Congress 2018. The promise is that when these technologies come together in digital personal assistants, they’ll make our lives easier, remove our “choice stress” and will become our trusted advisors. Sign me up! But, how will voice technology affect consumer behavior and how will brands tackle this new decision environment?

Our recent voice trends research included qualitative interviews with digital and eCommerce experts on this very topic. At ESOMAR, some of these respondents participated in our “Brands on Fire – How to adapt to the new market reality of AI platforms” panel. Danone, Wehkamp, Beiersdorf, Ericsson and SKIM had a lively discussion on the digital implications of AI for brands, marketers and insight professionals. I, along with Yasemin Ozdemir, had the honor to moderate the panel. Here’s what you missed and need to know.

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“Hallo Google, Alexa, Magenta: How's voice changing German consumer behavior?”

By Julia Görnandt on September 18, 2018

Voice technology and Artificial Intelligence were all the buzz at IFA, Germany’s largest consumer electronics show in September. Established players launched new products in Europe and there were a few surprise offerings from new market entrants.

Google introduced its premium smart speaker -the Google Home Max- here in Germany, along with a bilingual voice assistant feature that responds to queries in English and German interchangeably. And telecom giant Deutsche Telekom introduced plans for its own smart speaker activated with the magic words “Hallo Magenta." This introduction is the first smart speaker coming from a German company and includes Amazon’s voice assistant “Alexa” too.

As I was setting up our new office in the heart of Berlin, I reflected on how much technology has disrupted consumer behavior from the time I grew up here. Is Voice all hype in Germany? How and will German consumers embrace these AI technologies? What are the implications for brands? 

My team and I recently set out to answer these questions in Germany, and also in the US and UK. We explored Voice technology usage and awareness from the consumer and brand perspective. 

Here I’m sharing the Germany insights, which we unveiled at ESOMAR Congress 2018 in Berlin.

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Why it’s time to get emotional about the patient journey

By Adriënne Hoevers – den Hollander on September 10, 2018

Analyze patient needs to maximize your impact on treatment success

Emotions affect our behavior, what we do and how we do it. In the same way, as patients grow more influential, their emotions also affect decisions about their care and satisfaction with treatment. Yet patient research shows, particularly in the case of chronic conditions, that many of their emotional needs remain unmet. Frustration with progress, stress from the burden of taking more medication, or a sense of isolation are common, making them less likely to commit to their treatment or gain the maximum benefit. All of which could be bad news for your brand.

The good news is a new, holistic approach to decision mapping. We recommend a framework that recognizes the importance of patient emotions. One that moves beyond the clinical treatment path to the states they themselves have defined through the lens of their own needs. Here we explain patient’s various emotional states and offer practical tips on how to enable healthcare professionals to support patient needs. 

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Cracking the case of mobile-friendly conjoint surveys

By Joost van Ruitenburg on July 16, 2018

Originally designed for the desktop environment, conjoint research on mobile requires a more innovative approach

Ensuring your market research survey is mobile-friendly is no longer a “nice-to-have” for insights professionals. With more survey respondents opting for smartphones and tablets over computers, this requirement poses an ever greater challenge for conjoint analysis.

Conjoint is the go-to methodology for measuring customer preference for product features, to determine how pricing changes affect product demand and to forecast likely acceptance of new innovations. However, it was originally designed for desktop and doesn’t marry well with the smaller screen sizes and shorter attention spans of today’s mobile respondents.

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