The dataplor team is proud to announce the launch of its mobility product, which enables businesses to understand how people interact with specific locations. By combining dataplor’s extensive point-of-interest (POI) data with footfall counts, companies can utilize actionable location intelligence. This data gives organizations a competitive edge by highlighting real-world consumer behaviors.

The Problem with Existing Data Sources

Many businesses rely on demographic or static data that fails to capture consumers’ dynamic behavior. In-house data collection can be costly and inconsistent and may not include in-depth foot traffic data that delivers better insights. 

dataplor’s mobility product tackles these issues by showcasing:

• Market Potential: Ascertain a location’s popularity and activity patterns.
• Actionable Insights: Assess economic trends, evolving customer interests, and competitors’ performance.
• Changing Patterns: Develop data-driven forecasts and action plans for untapped markets.

These insights empower businesses to uncover key learnings beyond merely a location, including how individuals and customers engage with a specific place.

What Sets dataplor’s Mobility Product Apart

dataplor’s mobility product operates on a foundation of 3.9 trillion movement data points. Behind its comprehensive location intelligence and in-depth insight offerings, dataplor also upholds strict privacy standards and secure data practices.

Comprehensive Coverage

dataplor delivers monthly refreshed and strategic mobility data to ensure businesses always have the most relevant information. Currently, dataplor’s mobility product covers urban and rural areas in the United States, Mexico, and Canada, with plans to expand coverage to 40 countries by late 2025. dataplor enables businesses to streamline operations with a single vendor for high-quality, global POI data coverage and location intelligence.

Granular Insights

Rather than relying on broad demographic data, dataplor’s mobility data offers precise information down to a specific POI. This level of detail creates deeper and more impactful use cases for companies across industries.

Privacy-First Approach

Privacy is a top priority for dataplor. Our data is aggregated, anonymized, and fully GDPR-compliant, without collecting or using any personally identifiable information (Pll). This ensures ethical and secure data practices.

How Industries Can Leverage Foot Traffic Data

Businesses can optimize their decision-making using dataplor’s mobility data paired with the most comprehensive POI data for the U.S., Mexico and Canada. Industries that can benefit from these insights include:

• Retail: Identify optimal locations for new stores and customize inventory using foot traffic patterns.
• Consumer Packaged Goods: Track consumer interactions with retail outlets to inform product placement and promotions.
• Marketing: Enhance targeting strategies by knowing where and when consumers are active.
• Real Estate: Evaluate market trends and property performance to guide investments and developments.
• Urban Planning and City Governments: Optimize public spaces, transportation systems, and resource allocation to meet community needs.
• Quick-Service Restaurants: Identify optimal locations, evaluate existing location performance, and analyze customer behavior. 

dataplor recently analyzed foot traffic data for major fast-food restaurants across the United States, delivering valuable insights into customer movement and restaurant performance. 

Foot Traffic Insights in the Fast-Food Industry

By understanding foot traffic patterns, fast-food chains can enhance their market presence and customer engagement. Adjusting for the number of restaurant locations, dataplor found the following foot traffic trends in our analysis:

• Wendy’s was the most popular nationally, appearing in the “Top 5” in foot traffic 51 times, followed by Raising Cane’s at 39.
• In the Southeast, Wendy’s, McDonald’s, and Subway tied for the most ubiquitous, based on how many times a given restaurant ranked in the “Top 5” for the total number of stores in a state.
• In-N-Out Burger achieved the top ranking for foot traffic in five states in the West but is tied for fourth place overall for foot traffic in the region.
• In the Southwest, In-N-Out Burger was most likely to be ranked first for foot traffic in a given state, while Raising Cane’s took that title in the Northeast.

Restaurants can utilize this kind of data to identify optimal areas to open new locations, evaluate the performance of existing sites, and tailor menu offerings and promotions based on customer behavior. The fast-food chain analysis is just one example of how businesses can leverage dataplor’s insights to optimize customer interactions.

Take the First Step Toward Smarter Growth

dataplor’s mobility product revolutionizes businesses’ understanding of consumer behavior. By showcasing market potential, revealing actionable insights, and supporting data-driven forecasts, it enables companies to make smarter decisions and optimize their growth against competitors. 

Interested in leveraging mobility data for location intelligence? Learn what it is and how other businesses are using it in our webinar on February 26, from 10:00 AM – 10:30 AM PST.

Are you interested in evaluating dataplor’s location intelligence? We offer free data samples so you can confidently choose the right data provider.