Canada Government and Public Sector

Actionable Insights for the Canadian 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.

The World in Better Data

As the leading provider of global retail measurement data, NIQ’s actionable insights produces a full view of consumer behaviour, 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 behaviour

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 behaviour for all CPG brands and retailers. The panel is demographically and ethnically representative across provinces.

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.

Health & Nutrition
- Understanding households with diet related ailments through the consumer lens
- How the current shopping environment contributes to the rise in diet related ailments
- Price vs. Unit Sales of HFSS foods over time
- Measure consumer segmentation by level of health and wellness
- Measure the impact of Produce Prescription programs at retail
Food Equity
- Track food prices at local and regional levels
- Track food purchases by price and availability by consumer segment
- Identify and measure the impact of store closures in food deserts
- Understand consumer choice tradeoffs
Pricing & Inflation
- Track consumer purchasing behaviour and the impact of inflation and shrinkflation on prices
- Identify changes in prices of goods and services and consumer tradeoffs
- Measure the economic well-being of consumer households and identify potential risks
Supply Chain
- Track sales of prescription medicine to over-the-counter
- Track product recalls and market withdrawals
- Track on-shelf availability by region
- 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.

Food and Nutrition Quality Changes During COVID-19
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
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Resources

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Accelerating Classification of Food Processing Levels
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
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Resources

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