Dry January isn’t just a personal challenge anymore—it’s a movement that’s changing the way Americans consume (or don’t consume) alcohol. What started as a niche trend has gone mainstream, with more people than ever choosing to take a break from drinking at the start of the year. And that shift is making waves for businesses that rely on alcohol sales.

Bars and liquor stores, in particular, are feeling the impact, with changes in foot traffic that reflect evolving consumer habits. At Dataplor, we dug into visitation patterns from December through February (2021-2025) to uncover the real story behind Dry January’s influence—spotting clear seasonal and regional trends that show just how much behavior is shifting.

Key Takeaways

• 2025 saw the most widespread Dry January adoption, with all states showing a decline in bar and liquor store visits from December to January.
• Bars remain more resilient than liquor stores, likely due to their social atmosphere and non-alcoholic offerings.
• Certain states, like Maine and South Dakota, consistently show larger declines, reflecting stronger Dry January participation.
• Other states, such as New Mexico and Louisiana, displayed greater variability, suggesting that factors like local events and weather may play a role in foot traffic trends.

Implications for business: Liquor stores should expect steeper, more volatile traffic dips than bars each January and plan promotions accordingly, while bars can lean on their social draw to retain customers. Businesses in high-participation states (Maine, South Dakota) should prepare for the sharpest impact, and the trend shows no sign of reversing. 2025 was the strongest adoption year yet.

Seasonal trends: the rise of Dry January

Analyzing month-over-month foot traffic for bars and liquor stores from December through February across multiple years (2021-2025) revealed several key patterns:

• There was no significant Dry January effect in 2021-2022, likely due to post-pandemic social activity boosting bar visits.
• 2022-2023 showed the first clear Dry January impact, with a noticeable drop in January and a slower recovery in February.
• 2023-2024 saw a similar January decline, but February rebounded quickly, suggesting only temporary behavior changes.
• 2024-2025 displayed a moderate drop in January, followed by a continued decline in February, indicating a sustained shift in drinking habits.

These trends suggest that Dry January has transitioned from a niche health challenge to a widely recognized movement affecting consumer behavior.

Bars vs. liquor stores: who’s getting hit the hardest?

Comparing bar and liquor store visits over the December–February period highlights key differences in how these businesses are affected:

• Bars continue to attract more visitors and maintain steadier traffic throughout the winter months.
• Liquor stores peaked in early 2022 and have seen a decline since, with a slow recovery starting in late 2023.
• Bars show more resilience due to their diverse offerings, including food, social environments, and non-alcoholic beverage options.
• Liquor stores face greater volatility as consumers cut back on alcohol purchases during Dry January.

These findings indicate that while Dry January influences alcohol consumption, bars may weather the trend better than retail liquor stores.

Regional trends: Dry January adoption by state

A state-by-state analysis of foot traffic changes from December to January reveals regional differences in Dry January participation:

• All states had bars and liquor stores that saw some level of decline, reinforcing the nationwide adoption of the alcohol-free month.
• Maine and South Dakota consistently experienced the largest drops, suggesting strong engagement in the movement.
• New Mexico, Louisiana, and Indiana showed more variability, likely due to local events, seasonal weather, or other external factors.

These variations highlight how Dry January adoption isn’t uniform across the U.S., with certain states embracing the trend more aggressively than others.

Year-over-year growth: is Dry January here to stay?

Analyzing four years (2022-2025) of state-by-state participation levels provides insight into Dry January’s growing influence:

• Maine consistently exhibited strong Dry January participation, with significant drops in bar and liquor store visits each year.
• 2025 marked the strongest and most widespread Dry January adoption, with every state showing declines in foot traffic.
• 2023 displayed trends similar to 2025, suggesting that Dry January participation has been steadily increasing.

As taking the month of January off from drinking becomes more mainstream, bars and liquor stores may need to adapt their offerings to retain customers during this period. Given the sustained growth of Dry January, bars and liquor stores should consider new strategies to maintain customer engagement:

1. Expand non-alcoholic offerings: Many consumers are reducing alcohol intake but still want to socialize. Adding mocktails and premium non-alcoholic options can keep foot traffic steady.
2. Promote social experiences: Bars that emphasize live music, trivia nights, and food pairings can attract customers who are abstaining from alcohol.
3. Leverage seasonal promotions: Liquor stores may benefit from promoting Dry January-friendly options like non-alcoholic beer, wines, and spirits.
4. Understand regional variations: Knowing how Dry January impacts different states can help businesses tailor their marketing efforts accordingly.

The numbers are in, and Dry January isn’t slowing down. In fact, 2025 marks the biggest year yet for participation. Bars are holding their own, thanks to their social draw, but liquor stores are seeing more ups and downs as consumers rethink their alcohol purchases.

Mobility data tells the full story, highlighting where and when these changes happen. For businesses, staying ahead means using these insights to refine their marketing strategies and adjust their approach. As Dry January continues to reshape the industry, those who pay attention to the trends will be the ones that thrive.

Quick recap

• Dry January’s impact hit a new high in 2025, with every U.S. state showing declines in bar and liquor store visits.
• Liquor stores see steeper, more volatile drops than bars, which hold up better thanks to food, music, and social draw.
• Maine and South Dakota consistently show the strongest participation; New Mexico and Louisiana show the most variability.
• What to do next: Expand non-alcoholic offerings, lean into social programming, and tailor promotions by region—then track next January’s traffic to confirm the trend continues.

Discover how scarcity and regional loyalty drive America’s favorite fast-food brands.

Americans love fast food, but how can we know which offerings are really the most popular? At dataplor, we know it’s the numbers that unlock deep insights. We recently put this to the test by analyzing foot traffic trends among America’s most popular fast-food chains, as part of the launch of our new mobility product. 

Combining extensive point-of-interest (POI) data with visits, our location intelligence product equips businesses with deep insights into consumer interactions with specific locations. The mobility product gives businesses information to help optimize their decision-making using its foundation of 3.9 trillion movement data points.

Our analysis was centered on three questions:

Q: Which fast-food brands are the most popular, based on how often they rank in the “Top 5” for foot traffic in a given state?
A: Wendy’s leads nationally, followed by Raising Cane’s, Chick-fil-A, Five Guys, and McDonald’s.

Q: Which fast-food brands are the most ubiquitous, based on how often they rank in the “Top 5” for total store count in a given state?
A: McDonald’s and Subway tie for the most widespread nationally, followed by Burger King, Wendy’s, Dairy Queen, and Sonic Drive-In.

Q: Which fast-food brands are the most well-loved, based on how often they rank first for foot traffic in a given state?
A: Wendy’s and Raising Cane’s take the top two spots nationally, followed by In-N-Out Burger, a tie between Chick-fil-A and Culver’s, and Five Guys in fifth.

Nationwide, bigger does not always mean better

On the national scale, Wendy’s led as the most popular chain in terms of foot traffic, followed by Raising Cane’s, Chick-fil-A, Five Guys, and McDonald’s. McDonald’s and Subway tied as the most widespread chains overall, with Burger King, Wendy’s, Dairy Queen, and Sonic Drive-In rounding out the list. Only two of those most common restaurants (Wendy’s and McDonald’s) are also present in the top five for most foot traffic, suggesting that being everywhere doesn’t mean you’re going to be everyone’s top choice.

So, which brands are winning hearts and stomachs across the nation?

Limited geographic footprint often correlates with higher per-store visits. Wendy’s and Raising Cane’s took the top two spots for “most likely to be ranked first for foot traffic in a state” nationwide, followed by In-N-Out Burger, a tie between Chick-fil-A and Culver’s for fourth, and Five Guys in fifth. Yet looking at those brands that rank first in foot traffic in at least one state, only Wendy’s is in the top five nationally for the most locations.

Key takeaways

• Wendy’s leads national foot traffic, ranking in the top 5 most consistently across states. It’s the only brand that’s also top 5 for both foot traffic and store count nationally.
• Smaller-footprint chains punch above their weight. Raising Cane’s and In-N-Out rank among the top for foot traffic without cracking the top 5 for total store count in most regions—a sign of strong per-location customer loyalty over sheer scale.
• Being everywhere doesn’t mean being everyone’s favorite. McDonald’s and Subway tie for most widespread, yet only McDonald’s (alongside Wendy’s) also lands in the national foot-traffic top 5. This indicates that ubiquity and popularity aren’t the same metric.
• Regional loyalty drives outsized results. In-N-Out dominates the West and Southwest, Culver’s leads in the Midwest, and Raising Cane’s tops the Northeast, proving that hometown ties can outperform national scale.

Regional favorites roundup

Southeast

Mirroring national trends, Wendy’s led in foot traffic in the Southeast, followed by McDonald’s, Raising Cane’s, Chick-fil-A, and then a tie between Five Guys and Culver’s. And once again, being ubiquitous doesn’t necessarily translate to popularity, with Subway, Burger King, Sonic, and Dairy Queen all appearing on the list for most common stores, yet absent from the top foot traffic rankings.

West

Perhaps unsurprisingly, regional favorite In-N-Out Burger secured a number-one ranking in five Western states for having the highest foot traffic—despite not cracking the top five for total number of stores in any state in the region. Taking a broader view of brands that achieved a top five ranking for foot traffic in at least one Western state, In-N-Out ties for fourth place with fellow burger joint Five Guys, with the top spots belonging to Wendy’s, Chick-fil-A, and Raising Cane’s.

Southwest

Maintaining its western dominance, In-N-Out also stood out as a beloved chain in the Southwest region. It once again achieved the most first-place rankings for foot traffic in a given state, taking the top honor in two of the four states in the region. Interestingly, the list of brands to make the top five for foot traffic in at least one state in the Southwest were: Wendy’s, Raising Cane’s, McDonald’s, Five Guys, In-n-Out, Culver’s, Chick-fil-A, and Freddy’s Frozen Custard and Steakburgers; yet of these, only Wendy’s and McDonald’s ever make the top five for total number of stores in at least one state.

Northeast

Five Guys, founded in Washington, D.C., and Jersey Mikes, native to the Jersey Shore, demonstrated a strong presence in the area close to their origins, ranking second and third in the region in terms of the number of times they crack the top five for total number of stores in a given state. When it comes to overall popularity, Wendy’s, Chick-fil-A, and Five Guys took the top three spots for stores most likely to rank in the top five for foot traffic. But Raising Cane’s emerged as perhaps the most well-loved restaurant, taking the top spot for foot traffic in a whopping six states in the Northeast.

Midwest

Wisconsin-born Culver’s excelled in its home region, showing up in the top five for both number of locations and foot traffic. It’s the second-most likely brand, behind Wendy’s, to be in the top five for foot traffic for states in the region, snagging the number one overall spot for popularity in one state (Ohio).

How mobility insights can drive smarter business decisions

The fast-food study uncovered compelling patterns regarding consumer behavior that highlight what genuinely resonates with customers.

• The scarcity factor: Chains like Raising Cane’s and In-N-Out demonstrate how there’s not always a correlation between a restaurant’s footprint and popularity. Even with a smaller geographic footprint, these restaurants showcased high foot traffic, suggesting strong customer loyalty.
• The power of regional loyalty: Local favorites took hold in their home regions. Culver’s, rooted in the Midwest, Five Guys, with origins in the Northeast, and In-n-Out in the West all indicate how regional ties help brands outperform more prominent competitors.
• Popularity isn’t always about numbers: A larger presence doesn’t always translate to greater popularity. Consumers often prioritize regional connection and brand identity over convenience or location count.

Dataplor’s mobility product offers actionable data for businesses across industries. This fast-food analysis revealed how businesses can use location intelligence to optimize marketing strategies with tailored campaigns for regional preferences, identify gaps in high-loyalty regions to explore new markets, and understand consumer behavior to inform store placement and product offerings.

Learn more about our mobility product and how your business could benefit from these insights in our mobility release announcement.

MANHATTAN BEACH, Calif. — Dec 18, 2024

Dataplor, the leading global geospatial data company specializing in Point of Interest (POI) data, is excited to announce it has joined the Esri Partner Network (EPN) as a Bronze partner. Esri is the global market leader in geographic information system (GIS) software, location intelligence, and mapping. This collaboration aims to provide customers with enriched geospatial insights, combining the strengths of both companies to empower businesses with advanced tools for strategic decision-making worldwide.

Retailers, CPG brands, financial institutions, tech companies, and third-party logistics providers rely on Dataplor for comprehensive and precise POI data to assess competitive landscapes, select new sites, and identify markets ripe for expansion. The EPN partnership with Esri will further empower these users with sophisticated location intelligence, enabling them to unlock deeper insights into market trends, investment opportunities, and risk mitigation strategies across various geographies and timeframes.

With a global network of 3,000 partners, Esri’s EPN partners help customers around the world utilize the benefits of ArcGIS software and location intelligence. For over 50 years, Esri partners have supported users with business solutions, implementation services, and dynamic content by leveraging GIS technology across every industry.

“The partnership with Esri represents a significant step forward in our mission to provide the most accurate and actionable geospatial data available,” said Geoff Michener, founder and CEO of Dataplor. “Combining Esri’s ArcGIS software with Dataplor’s high-quality POI data offers businesses unparalleled insight into where to focus their efforts and investments to achieve sustainable growth.”

Dataplor is distinguished in the geospatial data sector by its exclusive focus on POI data and its rigorous data verification processes. While much location data is plagued by inaccuracies from unreliable open-source data and inconsistent records, Dataplor employs advanced machine learning algorithms, AI-driven call bots for local business validation, and local human experts to resolve data ambiguities.

In the past year, Dataplor has expanded its database to over 370 million POIs across more than 250 countries and territories, offering unmatched global coverage. Leading Fortune 500 companies, real estate investors, financial institutions, insurers, and local communities leverage Dataplor’s data to identify strategic opportunities, mitigate risks, and drive success. By partnering with Esri, Dataplor will further enhance its ability to provide businesses with powerful location intelligence solutions to optimize their market strategies.

Contact media@dataplor.com for more information.

Geospatial intelligence, or (GEOINT) refers to the integration of geographic information and technology—such as satellite imagery, remote sensing, and Geographic Information Systems (GIS)—to derive insights from spatial data. GEOINT captures data from the Earth’s surface to support decision-making across various industries. 

Originally used by the intelligence community, including the U.S. military and national security agencies, GEOINT now plays a vital role in helping businesses worldwide to make informed decisions, ranging from disaster response to market entry.

The National Geospatial-Intelligence Agency (NGA) was initially known for delivering intelligence products and analysis through aerial imagery and mapping services. However, with the rise of big data, geospatial intelligence has expanded beyond its traditional use. Today, many industries leverage geospatial data to turn complex data into actionable insights, transforming business practices and decision-making.

The geospatial analytics market is expected to reach $141.9 billion by 2028, making GEOINT a key focus for businesses worldwide.

This article covers the basics of geospatial intelligence, its sources and applications, and how businesses are using it to stay ahead. We’ll also explore how dataplor fits into the geospatial arena and how you can benefit from our solutions. 

What is Geospatial Intelligence?

Geospatial intelligence is the combination of geographic data, spatial analysis, and information management to produce insights.      

These insights are used by decision-makers worldwide to understand and respond to complex situations, from national security to business strategy.

Here are some of the main components of geospatial data: 

1. Geographic data: The foundation of GEOINT is geographic data, which is information about the Earth’s surface and its features. This data is gathered through various means, such as satellite imagery, aerial photography, remote sensing, and even social media check-ins, providing a rich, multi-dimensional view of any area.
   
2. Spatial analysis: Once geographic data is collected, spatial analysis processes it to uncover patterns, trends, and relationships. Using mathematical and statistical techniques, spatial analysis reveals how different geographic elements interact. This approach is applied in areas such as identifying the best locations for business expansion, imagery intelligence, and analyzing environmental changes.
   
3. Information management: Geospatial intelligence involves managing large volumes  of data. Information management systems organize, store, and process GEOINT data to ensure it is accurate, accessible, and actionable. High-resolution datasets, mapping software, and cloud-based tools also allow analysts to interpret information quickly and provide real-time insights to decision-makers.

However, it’s important to understand the difference between geospatial intelligence and Geographic Information Systems. Although they are closely related, GEOINT and GIS serve different purposes. 

• GIS is a tool for collecting, storing, and visualizing geographic data, often in the form of maps or layered visual representations. 
• Geospatial intelligence, on the other hand, takes GIS data and applies spatial analysis and information management techniques to generate insights for strategic decision-making. 

In essence, while GIS is a system for handling geographic data, GEOINT is the analysis and intelligence derived from that data.

The benefits of geospatial intelligence

GEOINT gives you valuable insights to change how you approach strategy, operations, and risk management in your business. 

By combining geographic data, spatial analysis, and information management, GEOINT enables informed decision-making based on real-world, location-specific information.

Here are the main advantages:

1. Better decision making: GEOINT gives you high-resolution, data-driven insights into market conditions, customer behavior, and operational performance across geographic areas. You can use these insights to choose the best locations for new store locations, evaluate supply chain logistics, and allocate resources where they’ll have the most impact.
   
2. Better operational efficiency: GEOINT helps optimize routes, plan resource allocation, and anticipate customer demand based on geographic patterns. For logistics and supply chain companies, this often translates to reducing fuel costs and delivery times. In utilities or telecommunications, it supports coordinating infrastructure repairs and upgrades based on location-specific needs.
   
3. More market understanding: Geospatial data provides a 360-degree view of your market, revealing demographic trends, spending patterns, and competitor locations. With this data, you can tailor your marketing campaigns, identify high-potential markets, and personalize customer experiences based on location-specific characteristics.
   
4. Risk management: Geospatial intelligence helps you identify and manage risks related to natural disasters, market volatility, and security threats. Using tools like remote sensing and satellite images, you can anticipate weather-related disruptions, assess regional stability, plan for contingencies, and protect your assets and workforce.

For industries where location knowledge is crucial—such as retail, real estate, logistics, and finance—geospatial intelligence gives you a competitive edge by turning geographic information into a strategic advantage.

The role of location data in geospatial intelligence

It’s no surprise that reliable location data is the foundation of geospatial intelligence. 

The value of GEOINT lies in the accuracy, depth, and relevance of the geospatial data, which turns location information into actionable insights for decision-making.

By providing real-time, location-specific data, you can make strategic decisions based on a comprehensive understanding of geographic and spatial factors.

Geographic features

Geographic features like terrain, elevation, water bodies, and infrastructure form the foundational layer of geospatial intelligence. 

This data, sourced from tools like GIS, helps businesses and analysts visualize physical environments and gain a deeper understanding of the geographical context surrounding operational areas.

Remote sensing imagery

Remote sensing imagery captured from satellite or aerial platforms provides an up-to-date, high-resolution view of specific locations. 

You can also obtain intelligence and insights across various sectors, from urban planning to crop health to disaster impact. 

Remote sensing helps businesses track changes over time, which is invaluable for industries such as real estate, agriculture, and national security.

Location data

Location data from devices, social media, and GPS allows businesses to analyze real-time customer behavior, movement patterns, and population density. 

By using location-based insights, businesses can personalize marketing, optimize site selection, and refine customer engagement strategies based on where their target audience lives, works, and spends time.

These three types of geospatial data collectively enhance the overall geospatial intelligence picture, providing valuable context, insights, and the ability to predict future trends. 

By combining these data types, you can make GEOINT a powerful tool for location-specific decision-making.

Empower your organization with Dataplor’s geospatial data

Whether through open source or other means, geospatial intelligence (GEOINT) is a valuable asset for businesses looking to incorporate location-based insights into their strategic decision-making, operational efficiency, and market understanding. 

In today’s data-driven world, where precise and actionable information is more crucial than ever, the importance of quality geospatial data continues to grow.

Dataplor’s geospatial data solutions help organizations to maximize the value of  GEOINT, offering high-resolution, real-time insights tailored to their business needs. From site selection to customer engagement, decision-makers can rely on Dataplor’s solutions and tools to stay informed and ahead of the competition.

Ready to elevate your organization with cutting-edge geospatial intelligence? 

Explore Dataplor’s data solutions and see how we can support your growth. 

Reach out today for a consultation or request a data set sample to experience the dataplor advantage firsthand.

The digital world is constantly developing and evolving, and in today’s competitive landscape, many businesses struggle with the challenges of limited data insights. Relying on data rows alone often leads to gaps in understanding customer preferences and missed opportunities in targeted marketing.

Customer expectations evolve with time, making it vital to seek out deeper data insights from your existing data to maintain an edge. This is where data enrichment becomes essential, allowing you to enhance the quality of your datasets and make informed decisions that drive the growth of your business.

A recent study reveals that businesses investing in data enrichment experience a 20% improvement in their ability to understand customer behavior and preferences. This enhanced understanding can empower you to refine your marketing strategies, tailor your messages, and optimize the efforts of your sales teams, leading to positive and measurable results.

In this article, we’ll review the fundamentals of data enrichment, explore how dataplor’s POI data enhances the data enrichment process, and provide some real-world use cases and examples of how businesses have achieved success using enriched datasets.

What is Data Enrichment?

Data enrichment is the process of adding additional information to existing datasets to improve their quality, accuracy, and completeness. For instance, if you’re evaluating customer data, you may want to include elements such as appending external data or first-party data, contact data, or third-party data—such as demographic data, contact information, and firmographic data—to existing customer data. 

By enriching data with high-quality information from various data sources, you can turn incomplete or outdated data into actionable insights, improving the overall value of your data management and validation processes. Data cleansing tools can help you ensure that this enriched data is accurate and ready for use in making business decisions.

Here’s why data enrichment is important for your business:

1. Complete Market View

With data enrichment, you can achieve a complete view of your market by combining existing data with external data sources. This allows you to track competition, identify new opportunities, and validate business decisions.

Having enriched datasets allows you to analyze trends in real-time and make informed decisions based on comprehensive insights.

2. Better Customer Segmentation

Enriching customer profiles with demographic and firmographic data enables you to segment your audiences more precisely. This deeper understanding of customer needs and preferences allows for more effective targeted marketing efforts.

It ensures that your marketing teams can deliver personalized messages that resonate with distinct groups, improving the overall customer experience.

3. Optimized Marketing Campaigns

By enhancing CRM and marketing databases with high-quality data, you can optimize your marketing strategies. 

For instance, enriching customer data with insights from POI data allows you to craft campaigns that are more aligned with consumer preferences, ultimately boosting conversion rates and enhancing customer relationships.

4. Smarter, Data-Driven Decisions

With enriched datasets, you can make data-driven decisions based on comprehensive, quality data. This helps fine-tune sales efforts, improve workflows, and boost overall efficiency.

Having access to data enrichment tools like dataplor ensures that every piece of information is validated, accurate, and ready for action, providing a solid foundation for strategic decision-making.

How POI Data Supercharges Data Enrichment

POI (Point-of-Interest) data refers to detailed information about specific physical locations such as restaurants, retail stores, landmarks, and other notable places. This data offers insights into various locations, their operating details, and surrounding areas. With POI data, you can gain a deeper understanding of geographic contexts, which play a crucial role in targeted marketing and customer segmentation efforts.

POI data is a valuable source of information that enables you to enrich your current datasets with comprehensive details about surrounding locations. The result is a more detailed and holistic view of your customer’s environment.

POI data can be used to enrich existing data by adding valuable contextual information that offers you a statistical edge. Here’s how:

1. Business Longevity and Local Attractions

By integrating POI data with your customer data, you can gain insights into the longevity of businesses in a given area and nearby attractions that add value to the location.

Understanding which types of businesses have a long-standing presence—such as high-end retail stores or family restaurants—can help you craft targeted marketing messages and refine your outreach efforts. Utilizing these insights into established businesses and popular attractions can elevate your marketing strategies and boost conversion rates.

2. Competitor Proximity and Complementary Businesses

Understanding the proximity of competitors or complementary businesses around a given POI can help you tailor your sales and marketing strategies. 

For example, if a competitor is located nearby you can create lucrative offers to lure customers or offer complementary services that enhance your customer relationships. This information, combined with third-party data, enables informed decisions and allows you to stay ahead in competitive markets.

Incorporating POI data into your data enrichment process not only enhances the quality of your datasets but also gives you deeper insights into market trends, customer behavior, and local competition. This enriched data is particularly valuable if you’re focused on enhancing third-party logistics, helping you optimize delivery routes, and improving operational efficiency.

By leveraging this additional information, you can make smarter, data-driven decisions and optimize your sales teams and workflows accordingly.

3. Customer Movement Patterns

Foot traffic data provides a detailed view of your customer’s environment by uncovering movement patterns and behaviors in real time. When combined with POI information, it reveals critical insights about foot traffic trends. This integration allows you to see how customers interact with specific locations, including the most frequented times and high-traffic areas. By understanding how your target customers move within an area, you can refine customer segmentation, optimize marketing efforts, and allocate resources more effectively, ensuring your efforts resonate with real-world behaviors.

By understanding the proximity of competitors or complementary businesses, you can craft targeted offers to attract customers or provide additional services that strengthen your relationships with them. Additionally, by integrating mobility and POI data, you gain deeper insights into customer movement patterns, local business longevity, and nearby attractions, helping to further refine your strategies. This information, combined with third-party data, enables informed decisions and allows you to stay ahead in competitive markets.

Examples of Data Enrichment with POI Data (Use Cases)

To illustrate the impact of POI data on data enrichment, let’s explore some real-world examples from various industries. From optimizing site selection to enhancing marketing strategies, various businesses across different sectors have successfully leveraged enriched datasets to gain a competitive edge.

These use cases demonstrate how you can harness the power of POI data to make smarter decisions, improve operational efficiency, and unlock new growth opportunities.

1. Tensorflight: Optimizing Real Estate Site Selection

Tensorflight, a tech company specializing in property analytics for the insurance industry, turned to dataplor to enhance its real estate data for more accurate property evaluations. By integrating dataplor’s POI data with their proprietary models, they were able to improve the geocoding accuracy and refine building occupancy and tenant type classifications.

This enriched data helped Tensorflight provide insurers with more detailed property insights, ensuring that building replacement costs and occupancy risks were calculated with greater precision. The collaboration led to significant improvements in data-driven decision-making for property insurance, enabling more accurate real estate assessments.

2. IKEA: Streamlining Delivery for Better Customer Service

IKEA, known for its large-scale furniture retail operations, significantly improved its last-mile delivery efficiency by leveraging geospatial data and investing in advanced software to optimize delivery routes. 

Through route planning and monitoring of truckloads, IKEA Retail Denmark was able to pilot a program that reduced delivery times and operational costs. This focus on data-driven logistics resulted in streamlined processes and improved customer satisfaction by ensuring timely deliveries.

Empower Your Data Enrichment Journey with dataplor

In today’s data-driven and competitive world, staying ahead requires making timely, well-informed decisions. Data enrichment is no longer a luxury you can conveniently ignore; it has become a necessity for gaining a deeper understanding of your customers, optimizing market strategies, and driving operational efficiencies.

By enriching existing datasets with high-quality, accurate information, you can unlock the true potential of your business data. And that’s where our advanced and comprehensive POI data comes into play.

With our comprehensive location data, we provide you with the tools you need to stay competitive in your industry. Whether you’re enhancing customer profiles, improving decision-making, or optimizing workflows, dataplor’s POI data delivers valuable insights that can propel your business forward.

Request a sample to explore our location intelligence solutions and learn how our data enrichment services can take your business to new heights. 
Learn more about us and start your journey with dataplor to harness the power of data enrichment.