Everything about the methods, approaches, techniques, and processes used in market research. Traditional vs. new. What works? What doesn’t?
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.
Using "Design Thinking" to remove the separation between the creative and research process for insights teams leads to lower knowledge loss and greater consumer centricity.
Visualizations can summarize patterns that are commonly hidden in a simulator, allowing users of conjoint analysis to gain insight into the key ways that preferences in a market vary.
Qualitative research has long played second fiddle to quantitative studies. However, that's beginning to change. More researchers are turning away from massive surveys and are embracing the power of actual conversations.
Agile market research has been around for quite some time now. Five common misconceptions of agile market research that may be preventing full adoption are explored.