Using Foot Traffic Insights for Trading and Investment: A Guide for Data-Driven Decisions

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How Foot Traffic Can Reveal Market Trends and Shape Investment Decisions

The ability to predict market trends for trading and investment decisions is a coveted skill. Traditionally, this process has relied on financial reports, surveys, in-depth analysis, and expert opinions. But in 2024, traders and other investment professionals are relying on foot traffic data to make faster, better decisions.

Foot traffic data, collected through smartphones and processed through Unacast’s rigorous cleaning and machine-learning modeling process, reveals the physical movements of people. And as demonstrated in our new report, Can Foot Traffic Predict Business Performance?, foot traffic can be a powerful indicator of revenue and, by extension, market trends.

The Predictive Power of Foot Traffic Data

Unacast analyzed data from various industries, revealing a clear correlation between foot traffic and revenue for businesses that rely heavily on in-person transactions. Hotels, movie theaters, casual restaurants, and car rentals all showed strong connections between increased foot traffic and rising revenue.

This makes sense for these types of businesses, as customer visits translate directly into sales. The more people walk through the door, the more money flows in.

Based on our analysis, traders and investors can utilize foot traffic data as one reliable input into their models for predicting revenue and analyzing trends for many brick-and-mortar businesses.

Data Beyond the Brick-and-Mortar

We also found that foot traffic data can offer valuable insights even for industries with a significant e-commerce presence. For example, computer and consumer electronics stores, despite online sales dominating, still show a relationship between foot traffic and in-person revenue. This indicates that brick-and-mortar stores remain relevant and contribute to overall sales.

This means traders and investment professionals can still use foot traffic as one input in their analyses, even when looking at businesses that have only part of their revenue coming from in-person transactions.

Foot Traffic Use Cases for Traders and Investors

Predicting Future Trends

This ability to forecast is where foot traffic data becomes truly exciting for investors and traders. By monitoring foot traffic patterns, analysts can get an early glimpse into a company's performance, potentially predicting revenue fluctuations before they hit the quarterly reports. This allows for informed trading decisions, giving those with access to the data a potential edge in the market. 

Real Estate Applications

Foot traffic data isn't just for stocks. Real estate investors can also benefit from understanding movement patterns. Studying foot traffic trends around specific locations can inform investment decisions, helping identify promising areas for development or potential areas for divestment. Additionally, monitoring traffic changes can provide valuable insights into the health of local economies and predict future trends.

Limitations and Considerations

Of course, no data source is perfect. Limitations include the dependence on accurate location data and the need for a large enough sample size. Additionally, external factors like economic conditions can impact the relationship between foot traffic and revenue.

Therefore, it's crucial to use foot traffic data in conjunction with other information and analysis for the most accurate picture.

The Future of Foot Traffic Insights

The potential of foot traffic data is vast. With its high accuracy and predictive power, foot traffic data can be a valuable tool for businesses, investors, and real estate professionals. As data collection, AI, and machine learning analysis techniques continue to evolve, we can expect even deeper insights and more sophisticated applications in the years to come. Unacast has already built machine learning models to power its foot traffic datasets, and uses generative AI to power its location analytics platform.

In conclusion, using foot traffic data for trading and investment can allow investors to gain a competitive edge. Businesses can make more informed decisions, and real estate professionals can navigate the market with greater confidence. This is the future of data-driven decisions, and the time to start exploring its potential is now. Book a meeting with us to learn more.

Frequently Asked Questions

Discover how analyzing real-world movement patterns can reveal valuable trends in customer behavior, optimize business operations, and enhance strategic decision-making.

What is site selection and why is it important?

Site selection is the strategic process by which businesses identify, evaluate, and choose optimal locations for their operations. This process is paramount as the location of a business directly influences factors such as accessibility, visibility, profitability, and market longevity. For retailers, the right site can mean higher customer footfall and increased sales. In real estate, a well-selected site can promise lucrative returns on investment and tenant stability. Financial service firms leverage site selection to position their branches or ATMs in high-demand areas. Essentially, site selection plays a pivotal role in ensuring the success and growth of a business by aligning its physical presence with market opportunities and demands.

How does location intelligence enhance site selection?

Location intelligence refers to the harnessing of geospatial data to derive actionable insights, which can significantly enhance the site selection process. By analyzing data like consumer demographics, foot traffic patterns, competitor locations, trade area data, and more, businesses can make more informed decisions about where to establish or expand their operations. Location intelligence allows for a deeper understanding of market dynamics, revealing hidden opportunities or potential pitfalls. For instance, retailers can identify gaps in the market, real estate professionals can forecast property value trends, and financial service providers can assess areas with high customer demand. Advanced tools, like those offered by Unacast, further refine these insights by leveraging AI and machine learning, enabling more precise and timely decision-making.

What challenges do businesses face in the site selection process?

Unacast provides invaluable support to businesses during the site selection process through its advanced location data and analytics software, all powered and refined by Artificial Intelligence and Machine Learning technologies. The company offers a suite of products designed to deliver accurate, actionable, and comprehensive location intelligence. This data proves crucial for businesses looking to understand consumer behavior, analyze traffic patterns, evaluate competitor locations, and much more. With Unacast’s robust tools, businesses in retail, real estate, and financial services can derive insightful information necessary for making strategic, informed site selection decisions. The platform not only provides reliable data but also ensures it is readily actionable for businesses, whether they are looking to open a new store, invest in property, or expand their financial services to new locations.

What types of location data are crucial for informed site selection?

Demographic data offers insights into the age, income, and lifestyle of people in a particular area, helping businesses understand their potential customer base. Foot traffic data provides information on the number of people visiting a location, which is crucial for retailers to estimate the store's potential popularity and for real estate professionals to assess an area's vibrancy and demand. Geographic Information System (GIS) data helps in visualizing and analyzing geographical details, supporting companies in identifying accessible and strategically located sites. Understanding the proximity to competitors, accessibility, and the socio-economic profile of the surrounding areas is also vital. Unacast’s platform aggregates and analyzes these various data types, providing a holistic view that significantly empowers businesses in their site selection endeavors.

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