A real-world market research case study with Big Data
The market research industry is no stranger to consumer data. However, the scale of “Big Data” generated through online behavior brings a host of challenges and opportunities for insights professionals and marketers alike. As consumers leave an endless supply of digital breadcrumbs online, how can we most effectively analyze and act on this behavior at the individual level?
Such was the challenge ArchDaily.com faced after amassing 20 terabytes of Big Data over the past three years. As the leading architectural website worldwide, interpreting this data was much more complicated than it had anticipated. With 150-200 million-page views a month, the company could see behavior volumes. However, ArchDaily.com didn’t know what was driving user behavior. It wanted to better predict architectural trends for and identify key drivers to optimize its online content strategy.
Exploring a virtual shelf approach to launching a premium brand
In 2018, Nestlé signed a $7.2 billion deal to market, sell and distribute Starbucks’ packaged products outside of the company’s cafes, providing Starbucks at home. With high brand recognition, Starbucks would clearly make an impact at the coffee shelf. However, one of Nestlé’s European insights team saw an opportunity to rethink the crowded grocery store shelf to drive even more growth – for Nestlé and its customers.
Albert van Meeteren, Nestlé’s Head of Consumer and Shopper Insights and Analytics, wanted to see how they could best launch Starbucks in a “new and innovative” way in Dutch supermarkets by focusing on in-store execution.
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?
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.
From clicks to cart: making smarter use of product images
In today’s crowded online marketplace, we all face the same challenge: how do we attract and convert shoppers? While increased media spend is an almost guaranteed way of attracting more people to an online platform, getting them to actually buy is a whole different ball game. Many online retail giants aren’t forthcoming with behavioral data, so knowing how visitors think and behave from the time they land on the platform until they check out, is a blind spot for many of us.
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.
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?
Launching a premium product means convincing consumers to trade up, without driving them to the competition.
This is the exact challenge faced by the Global Insights Manager at a best-selling charcoal brand as she prepared to launch two new premium products.
From a single corn flake to a global presence, Kellogg’s has been fueling better days for more than a century. Today, the food-manufacturing giant markets 24 brands, in 180 countries. The sheer size of Kellogg’s, coupled with today’s changing insights environment, created a daunting challenge for the company’s global insights team last year.
How could they decrease turnaround times for claims research, standardize approaches for comparability of results, while extracting better insights and decreasing costs all at the same time?
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?