Everything about the methods, approaches, techniques, and processes used in market research. Traditional vs. new. What works? What doesn’t?
Better addressing client objectives by bringing together observed and engaged data more effectively.
Leveraging the new online qual possibilities for faster, deeper, more cost-efficient consumer feedback.
Observational data is a tempting shortcut for insights but researchers must consider its potential shortfalls.
Cognitive neuroscience is fundamentally changing what we know about the brain and behavior, enhancing our understanding of how the brain functions while opening up new tools to understand, predict and change consumer decision-making.
Creating and shaping corporate culture are critical tasks, but are notoriously difficult to pull off well. Anthropology provides analytic frameworks we can use to help understand how organizations might deal with changes.
The survey design and analytical processes require a holistic approach when evaluating data to ensure high-quality data.
Implicit Association Testing (IAT) has gained use in MR, but it has unappreciated limitations. Practitioners need to be held more accountable for demonstrating real validation for IAT and similar methods borrowed from Psychology.
In this five-part series from Dstillery, their AI, Machine Learning and Data Science experts will help marketers and market researchers demystify these emerging trends and offer ideas for taking action.
By combining sound theory and new measurement tools, market researchers can produce products that are automated, provide deep accurate insight, and have staying power in the industry.
Ensure high-quality outputs and well-executed research by utilizing some of these strategic pointers.