The COVID-19 outbreak has forced a permanent recalibration of consumer habits and consumption patterns. With a large percentage of the world now in lockdown, it is important to look beyond the day-to-day maelstrom and adjust for a new normal.
Challenges arising from the spread of the new coronavirus (COVID-19) are likely to accelerate the use of existing and new technologies and tools as consumers go into lockdowns, millions are forced to work from home and digital connectivity takes even more of a hold on everyday habits.
In our latest research, we examine the challenges and accelerators affecting how and when consumers around the world will engage with the myriad forms of emerging technologies primed to make their lives easier and more efficient.
On this special episode of the Database podcast, recorded at CES, Marie Lalleman, Executive Vice President, Global Client Solutions at Nielsen, and Tina Daniels, Agency Sales Director, Google, share how they’ve navigated gender inequality in their own careers and how they’re helping to pave the...
In the next five years, A/VR technology will augment the shopping journey in increasingly meaningful ways—from the way consumers discover, choose, share, buy and engage with brands.
The best sports properties in the world will succeed in the long run by understanding the wants and needs of Generation Z and transforming themselves so they can attract and engage fans for years to come.
Consumers today are increasingly craving immersive, real-life experiences. But they want these experiences without foregoing time or effort. The solution? Augmented and virtual reality technology, coming to a “store” near you.
In the future, will your wearable device recommend what to add to your grocery list? Will you be able to order a new chair from a mobile 3D printer that can deliver it to you in the next hour? When you reach for your favorite brand on the shelf, will it automatically communicate to the manufacturer...
As the manifestation of technology that uses prior observed data to train computers to predict future outcomes, machine learning is often framed as the end-game, putting traditional statistical modeling in the shade. But that’s not where it belongs.
African Americans are powerful consumers, wielding $1.3 trillion in annual buying power. These consumers' path to purchase is non-linear and technologically driven.