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Point-of-interest (POI) data refers to a type of geospatial data that offers valuable insight into customer behavior. A POI can be any location, such as a business, attraction or facility, that may be of interest to a particular consumer, brand or decision-maker. Consumer packaged goods (CPG) companies can leverage POI data to supercharge their operations and support scale.
POI data amplifies your CPG strategy by helping your business drive informed decision-making based on location-specific consumer insights. Explore how to use POI data for the CPG industry below.
POI data offers a look into the minds of consumers and what destinations they find appealing, and there are many ways for businesses to capitalize on these insights. Check out these advantageous CPG POI data use cases below:
Consumer packaged goods companies can utilize POI data to conduct a more comprehensive market analysis that encompasses key locations, such as retail stores, supermarkets, distribution centers or malls. Your business can use these insights to identify trends and gaps within your designated market.
With greater awareness of the current market and customer preferences, your business can better understand where the greatest market opportunities are worldwide and where it is most beneficial to invest your time and money.
You can save valuable time and resources by diligently scouring POI data and using your findings to inform future decision-making before expanding your offers or trying to get your products in a new store.
Businesses can benefit from exploring both POI data and other CPG data sources, such as sales and social media insights, to inform their marketing efforts.
POI data offers unparalleled insight into popular destinations and venues where your target consumers are spending their time and money. Getting to know your target market better through these metrics and segmenting that audience helps you cater to their unique wants and needs as a business.
CPG brands can leverage POI data to deliver more personalized content, advertisements and product recommendations to the right consumers based on their preferences and behaviors in specific areas.
Learning more about where your target consumers frequent can improve the impact of your brand’s marketing initiatives and campaigns.
CPG brands can experience many unique challenges when looking to reach new audiences in different locations to expand their distribution. Having access to a comprehensive CPG POI data set enables businesses to identify the following:

These insights are highly valuable for determining strategic and informed distribution plans that empower optimal efficiency, reduce distribution costs and ensure your business is meeting target consumers in places where they are already spending their money.
By improving these logistical processes, brands can also foster optimized supply chain management, supporting greater scalability and long-term growth. POI data can help you avoid spending money on distribution to locations where your target customers are not currently exploring, saving time and resources you can invest in getting your products in the right locations instead.
Point-of-interest data can also be highly beneficial for conducting a comprehensive competition analysis in the consumer packaged goods industry. Your brand can explore valuable insights about their competitor’s distribution strategy, such as:
Gathering insights about competitor brands is easier than ever with the help of advanced technologies, like artificial intelligence, that can collect and analyze data more accurately and efficiently than a human.
With a greater understanding of your competitors, your business can effectively identify opportunities for improvement and the tactics that give you a competitive edge in your specific industry.
POI data also enables CPG brands to determine where there are gaps in the market and the destinations where their products can shine.
Another key application of consumer packaged goods POI data is effectively predicting future sales. By closely analyzing the location-specific insights from POI data, businesses are better able to predict demand, adjust inventory levels and optimize production.
With more accurate forecasting capabilities, your brand can anticipate consumer needs, make strategic decisions to foster greater satisfaction and protect your bottom line.
When your company knows what to expect from consumers, it can deliver the right products at opportune times in the most profitable locations.
In addition to informing resource allocation and saving your brand significant costs, accurate forecasting can help your business identify new opportunities for growth and mitigate potential risks.
Point-of-interest data also helps consumer packaged goods brands optimize their merchandising and assortment planning strategies. Your business can analyze POI data to gain a more in-depth understanding of your target consumer’s preferences and shopping patterns at various locations. Using these insights, your company can then tailor the available product assortments and placements to optimize sales.
Brands can also leverage POI data to determine which promotional strategies are most advantageous for meeting consumer wants and needs in different locations.
POI insights offer direction for product selection, placement, price and promotion. Tailoring your merchandising tactics to the point of interest can help your business optimize its in-person presentation to grow sales.
Finally, you can also leverage CPG POI data to identify key locations for new product launches. If your business is interested in testing ideas and seeing how different merchandise performs, paying attention to POI insights can help you determine where to sell your latest goods to gain product exposure and boost initial sales.
Analyzing this data can help consumer packaged goods brands strategically approach new launches in the destinations where they are most likely to perform well and reach the intended consumer.
Kickstarting the sale of brand-new items in the wrong locations can cost your business in the long run. POI data gives you a comprehensive view of the market so you can set your product launches up for success and work off that momentum to drive revenue.

Are you looking to maximize the use of POI data for your consumer packaged goods brand? We can help you take advantage of robust artificial intelligence-driven resources and location-based insights from hundreds of locations in real-time.
Dataplor helps businesses identify new opportunities to grow and achieve new levels of success with unmatched global POI datasets. We offer the most comprehensive data available to help your brand increase sales, outdo the competition and make smarter, data-backed business decisions.
Are you interested in learning more? Contact us to connect with our data experts today.
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Case Studies
Wolt, a leading food delivery and technology company spanning 27 countries, initiated a transformative journey to enhance its market presence and identify untapped areas of opportunity. This case study explores why Wolt chose to partner with Dataplor over other providers, the problems they sought to solve, and the remarkable accomplishments they’ve achieved through this partnership. Additionally, we delve into their future plans for innovation with Dataplor.
Wolt’s decision to partner with Dataplor was driven by their commitment to data coverage. They prioritized crucial factors such as the breadth of coverage, data accuracy, attributes and most importantly, data quality. Dataplor surfaced as the top selection due to its ability to capture a vast number of Points of Interest (POIs) accurately and comprehensively. Wolt underwent an extensive evaluation process, exploring various data vendors. However, Dataplor’s unmatched coverage and quality positioned it as the undeniable winner.
Wolt aimed to leverage the data to enhance its market understanding and improve internal operations. They sought to evaluate data beyond their existing data sources to gain a more comprehensive view of merchants across various sectors, not just limited to restaurants. With Dataplor, Wolt could address market gaps and identify untapped opportunities more effectively.
Internally, Wolt extensively utilizes Dataplor’s data to strengthen its competitive positioning and identify new opportunities. They integrate this data into their internal systems, serving it to Customer Relationship Management (CRM) platforms and ingesting it into various geospatial platforms. Wolt emphasizes the importance of data quality, recognizing it as the foundation for their operations. Centralizing processes enables Wolt to allocate resources efficiently, prioritize leads based on internal valuation, and enhance the accuracy of their predictive models.
Wolt’s collaboration with Dataplor has yielded significant achievements. By leveraging Dataplor’s comprehensive POI data, Wolt has improved its ability to serve customers and accelerate its growth in various markets. The integration of Dataplor’s data has expanded Wolt’s market by nearly 40% in certain markets surpassing their initial projections. Wolt now possesses a more accurate and detailed understanding of merchants within their countries, enabling them to make informed decisions and capitalize on market opportunities effectively.
Leading Wolt’s geospatial initiatives, Sharat Ramamani brings a diverse background in strategy and analytics to the table. His journey into the geospatial realm began at Doordash, where he focused on new country expansion and selection. Following Doordash’s acquisition of Wolt, Sharat shifted his focus primarily to Wolt’s selection strategy across their 25 markets. Despite the challenges of navigating the early geospatial SaaS landscape and the initial learning curve, Sharat found the transition fruitful. Leveraging geospatial data has accelerated Wolt’s decision-making processes and accelerated their time to market.
Wolt’s strategic partnership with Dataplor has transformed its approach to market development and expansion. By prioritizing data quality, accuracy, and innovation, Wolt is poised to continue its trajectory of growth and success, leveraging Dataplor’s invaluable contributions to drive informed decision-making and capitalize on market opportunities effectively.
Join us on May 16th at the SDSC Conference in London, to hear from Wolt’s Analytics Lead, Sharat Ramamani and Dataplor’s Enterprise Account Executive, Meagan Vigil firsthand.
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