Fresh Produce Spending Insights

Fresh Produce Spending Insights
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Introduction

Understanding consumer spending patterns, especially in specific categories like fresh produce, has historically been a challenging endeavor. Before the digital age, businesses and researchers relied on manual surveys, observational studies, and sales reports to gauge consumer behavior. These methods, while valuable, often resulted in delayed insights, sometimes taking weeks or months to compile and analyze. In the era before comprehensive data collection, stakeholders were essentially navigating in the dark, making decisions based on limited and often outdated information.

The advent of sensors, the internet, and connected devices has revolutionized data collection, providing real-time insights into consumer behavior. The proliferation of software and the transition towards digital record-keeping have further enhanced the ability to track and analyze spending patterns. This digital transformation has made it possible to understand consumer preferences and spending habits with unprecedented accuracy and speed.

Today, the importance of data in understanding consumer spending on fresh produce cannot be overstated. With the help of various data types, businesses can now track spending patterns in real-time, allowing for more informed decision-making. This article will explore how specific categories of datasets can provide deeper insights into consumer spending on fresh produce in the US and Canada, focusing on sub-categories such as tomatoes, peppers, cucumbers, and strawberries, including greenhouse-specific data where available.

Consumer Behavior Data

Consumer behavior data has become a cornerstone for understanding spending patterns in the fresh produce category. This type of data, collected from a representative panel across the US, includes receipt price data that offers a glimpse into what consumers are buying and how much they are spending. Although this sales data comes from a panel and not directly from point-of-sale (POS) systems, it provides valuable insights into consumer preferences and spending habits.

Another source of consumer behavior data comes from first-party grocery retail datasets. These datasets offer transaction-level detail from a significant portion of households in the U.S., covering all key grocery categories, including fresh produce. However, it's important to note that coverage in Canada may be limited or unavailable.

Examples of how consumer behavior data can be used include:

  • Tracking spending trends on specific fresh produce items over time.
  • Identifying consumer preferences for packaged vs. bulk produce.
  • Assessing the impact of seasonal changes on consumer spending in the fresh produce category.

Point of Sale Data

Point of Sale (POS) data provides another layer of insight into consumer spending on fresh produce. This data captures 100% of store sales via the POS systems of retail grocery store partners, offering detailed information on both weighed (bulk) and packaged (UPC) items. While coverage may be limited to certain states in the US and may not extend to Canada, POS data is invaluable for understanding the volume and value of fresh produce sales at the retail level.

Applications of POS data include:

  • Quantifying sales volumes of specific fresh produce items.
  • Comparing sales performance of packaged vs. bulk produce.
  • Identifying high-performing stores or regions for fresh produce sales.

Email Receipt Data

Email receipt data offers a unique perspective on consumer spending, capturing detailed information from over 11 million users who share their grocery receipts. This data covers nearly every US sales channel, providing comprehensive coverage of fresh produce purchases. Users can scan their receipts via an app or link their email and online shopping accounts, allowing for the collection of granular data on fresh produce spending.

Benefits of using email receipt data include:

  • Understanding online vs. in-store spending patterns on fresh produce.
  • Tracking consumer loyalty to specific brands or stores.
  • Gauging the effectiveness of promotions on fresh produce sales.

Conclusion

The importance of data in understanding consumer spending on fresh produce cannot be overstated. With access to consumer behavior data, POS data, and email receipt data, business professionals can gain a comprehensive understanding of spending patterns in this category. This wealth of data allows for real-time insights, enabling more informed decision-making and strategic planning.

As organizations become more data-driven, the ability to discover and leverage relevant data will be critical to success. The future may see companies monetizing data they have been collecting for decades, providing additional insights into consumer spending on fresh produce and beyond. New types of data, potentially unlocked by AI, could offer even deeper insights, transforming how businesses understand and respond to consumer behavior.

Appendix

Industries and roles that could benefit from access to data on consumer spending on fresh produce include investors, consultants, insurance companies, market researchers, and more. Data has transformed these industries by providing real-time insights into consumer behavior, market trends, and spending patterns. The future holds even greater potential, as AI and advanced analytics technologies promise to unlock the value hidden in decades-old documents and modern government filings, offering unprecedented insights into consumer spending on fresh produce and other categories.

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