How to better uncover emotions in early-stage innovation research

By Judith Suttrup on November 15, 2019

Exploring voice analytics in new product development research with Johnson & Johnson

Have you ever conducted early-stage innovation research and found yourself in a situation where you don’t entirely trust what consumer feedback is telling you? Many of us have had to deal with overstated interest and the need to dig deeper into unmet needs.

Uncovering both rational and emotional needs is vital for new product development (NPD) strategies - to accurately size the unmet need or opportunity for innovations. However, what is the best insights approach?

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Ready for the next stage of pricing research?

By Stefan Ammerlaan on November 08, 2019

Exploring a data-fusion approach for holistic pricing decisions

Whether you’re introducing a new SKU or reacting to a market change, managing your pricing strategy can often feel like a complicated balancing act.

You know solid revenue decisions should be grounded in sound data, but that input often comes from a variety of sources and stakeholders.

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How VodafoneZiggo optimized its portfolio by better predicting consumer choices online

By Wessel Roose on August 09, 2019

Understanding decision-making and choice overload in crowded markets

In today’s highly competitive telecommunications market, consumers face an abundance of choices online. To thrive in this environment, your product portfolio strategy should be optimized based on how decision-making is changing. You need to know how customers identify the best carrier and plan for their needs. And that’s where the most accurate customer and market insights can help.

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Machine Learning: Top takeaways from MRS Data Analytics Conference

By Tommaso Gennari on July 02, 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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Achieving big impact with small HCP samples

By Daisy Lau on April 02, 2019

How to unlock the numbers in niche indications by using Multi-Criteria Decision Analysis

If you’re in a highly specialized area, such as MedTech or rare diseases, you’ll be only too familiar with the challenges of working with small sample sizes. Qualitative insights are important but when go/no go decisions are at stake, you may need a more data-driven approach. But, how can you obtain robust market data for decision-making when your target population and treating physicians are limited?

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How pricing research is helping FMCG brands fight inflation in developing countries

By Robin de Rooij on February 25, 2019

When inflation hits, your pricing strategy inevitably feels the pressure. On the one hand, raising product prices will protect margins. On the other, you can’t risk pricing yourself out of the market. When consumers feel this pressure, their spending habits are likely to change, especially in developing countries and high-inflation regions.

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