Everything about the methods, approaches, techniques, and processes used in market research. Traditional vs. new. What works? What doesn’t?
Consumer decision making does not just come down to rationalizing the purchase and working with a simple desire for the product. Behavioral science may be missing out on a key decision making influence - the imagination.
Good branding goes hand in hand with good storytelling, to captive consumers interest and engage their emotions into the purchasing process.
Steve Needel argues for a restructuring of what we understand to be insights, to instead be outsights. To understand data and how it is presented, he believes we must look beyond our own experiences, and push towards the creation of new ideas.
Crowds can be scary places, but in the context of the digital world, they can be your best friend. Keaton Swett explains the origins of the popular phrase the "wisdom of crowds," and how crowdsourcing can be a game changer in today's rapidly changing gig economy.
Researchers have access to vast amounts of behavioral data but struggle to explain the ‘why’ behind consumer purchase decisions. Advancements in technology, along with engaged research participants, can help us better understand a shopper’s journey and purchase process.
Latest in the Data Visualization series, Tim Bock shares how to best utilize correspondence analysis and how to apply the practice using a case study on carbonated drinks.
A challenge for qualitative researchers to adopt a more challenging, confrontational model of ethnography. Sounds uncomfortable? It’s supposed to be.
By understanding the U-Shaped Learning Curve, your company can not only pinpoint patterns and trends in consumer errors as they search for the right product, but also help consumers to end their trial-and-error process by providing the tools needed to arrive at satisfaction.
Data journalism can be used to harness the power of Big Data, bridging the gap between analysts and decision makers.
Statistical and conceptual models are inherently limited. Market researchers need to turn to true experiments with control groups to really understand causality.