B2B Paint Spending Insights

B2B Paint Spending Insights
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At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.


Understanding business-to-business (B2B) spending in specific categories such as paint and related supplies has historically been a challenging endeavor. Before the digital age, firms relied on manual surveys, anecdotal evidence, and infrequent financial reports to gauge market trends and spending patterns. These methods were not only time-consuming but often resulted in outdated or inaccurate data. For instance, businesses might have depended on sales figures from paint manufacturers or retailers, which provided a fragmented view of the market. Before any substantial data collection methods were in place, companies operated in a near vacuum, making decisions based on limited insights and gut feelings.

The advent of sensors, the internet, and connected devices, alongside the proliferation of software and database technologies, has revolutionized how data on topics like B2B spending in paint categories can be collected and analyzed. This digital transformation has enabled the collection of real-time data, providing businesses with up-to-date insights into market trends and spending behaviors. The importance of data in understanding market dynamics cannot be overstated. Where businesses once waited weeks or months to gauge changes in B2B spending patterns, they can now access this information almost instantaneously, allowing for more informed decision-making.

Point of Sale Data

One of the key data types that can provide insights into B2B spending in paint categories is Point of Sale (POS) data. Historically, POS data was limited to physical retail transactions, but with technological advances, it now encompasses online sales and direct purchases from manufacturers. This data type offers item-level detail, including unit sales, sales dollars, pricing, and market share, which is invaluable for understanding B2B spending patterns.

Industries and roles that have historically utilized POS data include retail managers, market researchers, and manufacturers. The technology advances that facilitated the collection of POS data include the development of sophisticated POS systems, inventory management software, and data analytics platforms. The amount of POS data available has accelerated with the growth of e-commerce and the digitalization of retail operations.

Specifically, POS data can be used to:

  • Track sales volumes of interior and exterior paints, primers, stains, varnishes, and related supplies at the business level.
  • Analyze pricing trends and promotional effectiveness.
  • Understand market share dynamics among different brands and retailers.
  • Identify purchasing patterns and preferences among businesses.

Marketing Intelligence Data

Another critical data type is Marketing Intelligence Data, which, despite its traditional focus on B2C, can offer indirect insights into B2B spending. This data type includes SKU-level sales data from e-commerce platforms and can highlight trends in consumer preferences that may influence B2B purchasing decisions. While primarily B2C, the insights derived can help predict B2B spending trends in the paint category.

Roles that benefit from marketing intelligence data include marketing managers, product developers, and strategic planners. The rise of digital marketing and e-commerce has significantly increased the volume and detail of marketing intelligence data available. This data can be used to:

  • Monitor consumer trends that may influence B2B purchasing decisions.
  • Assess the effectiveness of marketing campaigns on product sales.
  • Identify emerging product categories and innovations.

Transaction Data

Transaction Data provides another layer of insight into B2B spending in paint categories. This data type encompasses detailed purchase information, including brand and retailer shares, share trends, and consumer types. Transaction data is particularly valuable for conducting market share analysis and understanding the competitive landscape.

Industries such as market research, retail, and manufacturing have historically relied on transaction data to inform strategic decisions. The availability of transaction data has expanded with the advent of online surveys and digital transaction tracking, offering a more comprehensive view of the market.

Uses of transaction data include:

  • Conducting market share analysis to understand the competitive landscape.
  • Tracking industry trends in both units and dollars.
  • Identifying strengths and weaknesses in the marketplace.


The importance of data in understanding B2B spending in paint categories and making informed business decisions cannot be overstated. Access to diverse types of data, such as Point of Sale, Marketing Intelligence, and Transaction Data, provides businesses with a comprehensive view of the market. As organizations become more data-driven, the ability to discover and leverage relevant data will be critical to staying competitive.

Looking forward, the monetization of data by corporations offers a promising avenue for gaining additional insights into B2B spending patterns. As technology continues to evolve, new types of data may emerge, providing even deeper insights into market dynamics.


Industries and roles that could benefit from access to data on B2B spending in paint categories include investors, consultants, insurance companies, market researchers, and manufacturers. Data has transformed these industries by enabling more accurate market analysis, trend prediction, and strategic planning.

The future of data utilization in these industries is bright, with AI and machine learning poised to unlock the value hidden in decades-old documents and modern government filings, further revolutionizing how businesses understand and respond to market trends.

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