What is Syndicated Retail Sales Data?


In today’s competitive consumer packaged goods (CPG) industry, the difference between thriving and merely surviving often comes down to how well a business leverages data. Syndicated retail data equips businesses with the knowledge to navigate market trends, enhance competitive intelligence, and refine product strategies. Join us as we explore what syndicated retail data is, and how it can empower you to make smarter business decisions.

What is Syndicated Retail Sales Data?

Syndicated retail data is a collection of aggregated information about product sales and consumer trends across various retail environments. It compiles product retail sales activity across various stores, categories, channels, and markets—giving businesses insights that they wouldn't normally have access to.

This data provides a bird's-eye view of market trends and consumer purchasing behaviors. It helps companies understand the broader retail landscape and the role they play in it, helping shape product strategy and positioning.

Brands can purchase this data from third-party companies, such as Nielsen, SPINS, and Circana, who provide comprehensive CPG metrics.

Types of Syndicated Retail Data

Syndicated retail data fits into two main categories: syndicated store data and syndicated panel data. Each type serves distinct purposes and provides unique insights tailored to different aspects of market analysis.

Syndicated Store Data

Syndicated store data focuses on sales trends and competitive analyses directly from retail environments. It includes detailed information about product performances across different stores and regions, tracking metrics such as unit sales, revenue, and market share.

This data helps manufacturers and retailers understand which products are performing well, which are lagging, and how competitive dynamics are shaping up in the marketplace.

Syndicated Panel Data

Syndicated panel data dives into consumer behavior and demographics. This type of data is collected from a group of individuals or households that report their purchasing habits over time.

It provides insights into who is buying what, along with their purchasing frequency and the reasons behind their choices. Panel data is instrumental for understanding customer profiles, tailoring marketing strategies, and predicting future buying behaviors based on demographic trends.

Wait, What’s the Difference?

The main difference is that store data is focused on products, whereas panel data tackles consumer behavior and preferences.

These two types of data complement each other, offering a holistic view of both the market and the consumer landscape, essential for making informed strategic decisions.

Benefits of Syndicated Retail Data

Syndicated retail data offers many advantages that can enhance a brand’s market strategy and understanding of consumer behavior. Here’s why leveraging syndicated data can be useful:

  • Access to Competitive Intelligence: Syndicated data can help you understand how your brand stacks up against competitors and set more appropriate goals and benchmarks. For instance, a report might reveal that although your sales grew by 10% year over year, the market grew by 15%.
  • Prioritize Growth Opportunities: Access to POS data from different retailers can help you set priorities.  For example, a retailer could have strong performance overall but not for your product category. Beyond retail giants like Walmart, it’s not always clear where to focus your efforts.
  • Optimize Product and Pricing Strategies: Syndicated data provides actionable insights that can guide product and pricing strategies. By analyzing how similar products are priced and how changes in pricing affect sales volumes, brands can optimize their own pricing strategies to stay competitive and profitable.

Ready to Get the Most out of Your Retail Data?

If you’re already working with syndicated retail data and you need a hand making sense of it, Daasity can help.

Daasity is the first and only analytics solution tailored specifically for consumer brands.  With Daasity, you can consolidate and analyze data from different sources, including retail data, eCommerce, Amazon, and syndicated data from providers like Nielsen.

This provides a comprehensive view of your market, making it easy to gain actionable insights and make smarter business decisions.

Discover how health food brand Caulipower leverages Daasity to bring together retail data from various channels and analyze syndicated retail data, enhancing their decision-making process and gaining a competitive edge in the market.

Ready to see how Daasity can transform your data strategy? Chat with our team to see how Daasity can help you bring your data together and unlock its potential.

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