Actionable Insights for Government and Public Sector
The Full View on consumer insights, soup to nuts.
Positioned at the crossroads of the public and private sectors, NielsenIQ’s actionable intelligence and insights aid policymakers and influencers in making informed strategic decisions.
Food in America Series: Improved Health through Consumer Insights
Food in America: A Tale of Two Consumers
In America, inequality is evident in many ways and is particularly pronounced in our dietary habits. This divide seems to be expanding, particularly in the realm of food, nutrition, and Americans’ ability to maintain a healthy lifestyle.
Discover the latest health and wellness trends for 2024 in our eBook! Explore insights on shifting consumer behaviors and emerging product attributes. Learn about economic influences, burgeoning health trends, the rise of clean labels, consumer sustainability focus, and much more.
As the leading provider of global retail measurement data, NIQ’s actionable insights produces a full view of consumer behavior, with operations in 90+ markets, covering more than 90% of the world’s population.
NielsenIQ’s CPG retail sales and consumer panel data provide a unique consumer perspective that drives meaningful change in the realm of global, regional, and local health, hunger, and nutrition challenges.
NielsenIQ delivers the Full View, the world’s most complete and clear understanding of consumer buying behavior
Retail measurement sales data
Retail measurement sales data covers 95% of global GDP and tracks 76 million unique CPG items globally, creating advanced datasets based on market performance.
Consumer household panels
Homescan and Omnishopper Panels track consumers’ brick-and-mortar and e-commerce purchases and behavior for all CPG brands and retailers. The panel is demographically and ethnically representative across 24 countries.
Product package and label data
Product package and label data provide access to thousands of product attributes and claims which are built based on on-pack attribution as well as derived attribution.
We are a trusted data partner helping governments, NGOs, and research organizations around the world to modernize and leverage actionable insights with precision and in real-time to help shape, inform and resolve policy outcomes for a healthier and more equitable future.
Track sales of prescription medicine to over-the-counter
Track product recalls and market withdrawals
Track on-shelf availability by county and state
Measure last mile e-commerce deliveries
NIQ Data with Impact
As diet-related diseases caused by unhealthy food consumption gain more attention, scientists and academia around the world are helping inform and guide policy decisions by conducting research that examines shopping patterns, product labeling, and even advertising policies. NIQ research, including data from Product Insights and Consumer Panel datasets, gives these scientists a solid platform of numbers, facts, and figures on which to test their theories and draw conclusions. Here’s a sampling of what researchers from Australia to the United States have discovered.
Household food-purchasing patterns changed during the COVID-19 pandemic. Researchers from the University of Toronto hit on this pattern by delving into Universal Product Code data on household food purchases from NIQ’s Consumer Panel Datasets (2017 through 2020). The researchers found that purchases of fresh meat, canned vegetables, pasta, soup, baking- and cooking-related products surged in the beginning of the pandemic and fell afterward, likely because of stockpiling. Steady increases in purchases of items such as bread and baked goods, frozen breakfast foods, coffee and tea, cereal, nuts, and ice cream indicated a shift towards more meals at home, due to stay-at-home mandates. The researchers say their study provides evidence for policymakers to design targeted food policies during pandemics and recovery stages.
Report: Food Purchasing Pattern and Nutrition Quality Changes in the Time of the COVID-19 Pandemic
Google’s voluntary 2020 action to restrict food and beverage advertising through online channels in the EU and UK would limit online advertising of the most unhealthful products to children in the United States if the policy were applied to the U.S. Market. Researchers from New South Wales University, the University of Wollongong, and the University of North Carolina came to this conclusion after using nutrient data from NIQ Label Insight, for the top 25 US food and beverage manufacturers. The researchers examined each product against four nutrient profile models (NPMs): Google’s, the World Health Organization’s Europe model, the Pan American Health Organization model, and the Chilean Government NPM. Under Google’s NPM, 18% of the 14,188 products were eligible to be advertised to children, a figure representing $44 billion out of more than $240 billion USD generated in annual revenue for the top 25 U.S. manufacturers. Researchers concluded that the effectiveness of Google’s policy would be strengthened by refining the Google NPM to better align with those developed by health authorities, including WHO.
Report: Could Google help curb online advertising of unhealthy foods to US children?
Consumption of ultra-processed foods has gone up in most countries, and high consumption of such foods (UPFs) has been associated with non-communicable diseases. Researchers from the University of Toronto and Fundación Interamericana del Corazón Argentina used NIQ data to discover that automation can help make this process simpler and faster. The researchers used food product information from the USDA Branded Food Products Database, which includes NIQ Label Insight data, as well as data from FLIP Canada, FLIP Latin America and the Caribbean to train and test a language model that could predict food-processing levels. Text information from food labels was used to fine-tune the model. The fine-tuned model achieved the highest F1 score, 0.98, in predicting food-processing levels. It outperformed other models, such as structured nutrient facts and bag-of-words. The researchers concluded that this automation strategy is effective and can speed up monitoring and regulation of ultra-processed foods in the global food supply.
Report: Accelerating Classification of Food Processing Levels Using a Fine-Tuned Language Model: A Multi-Country Study