Total Commerce: Your Seasonal Insights

Discover the growth opportunities that seasonal shopping occasions can unlock for your brand

To get the Full View™ of consumer buying behavior, Consumer Packaged Goods and Tech & Durables manufacturers and retailers need to closely monitor what happens during seasonal, cultural, and regional shopping events.    

These occasions—often holiday-driven—are more than just seminal moments to boost sales. They present an opportunity to determine if pricing, promotion, and other retail strategies are paying off for different industries, in different regions, across different consumer demographics. They serve as periodic signposts that chart consumer behaviors and preferences as trends play out in a constantly evolving market. And they offer an opportunity to observe how key cultural and regional differences affect sales.  

To succeed in today’s global omnichannel environment, manufacturers and retailers must understand what drives consumer behavior and exceed consumer expectations at every point along their path to purchase. Consider NIQ’s Total Commerce hub your source for the latest market performance data and insights to empower tomorrow’s growth. Bookmark today—and revisit often! 

Early lessons from Cyber Monday 2024

Cyber Monday remains an important opportunity to boost online sales above weekly averages. Success for retailers and CPG manufacturers depends on understanding evolving consumer behavior and regional differences during—and after—the holiday season. 

Analysis of online sales in Western Europe and India reveals a mixed outlook for retailers and manufacturers heading into 2025.

Chart featuring Cyber Monday order values vs. typical Monday order values for France, Germany, India, Italy, Spain, and the United Kingdom


Your omnichannel strategy begins here

NIQ’s Omnichannel Commerce solutions help you understand and optimize performance across retail aisles, categories, and channels. Track product, category, brand, retailer, and competitor market performance with precise item-level data.

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