Combine location intelligence with transactional data to deliver accurate sales estimates that provide new insights into spending patterns across stores and chains.
Sales data is crucial for decision-making in the retail space, especially in today’s ever-changing environment. Retailers need to analyze their own sales numbers to see if they are meeting customer needs, positioning products effectively, and maintaining a healthy flow of revenue. But what happens when other stakeholders need access to a retailer’s sales data but don't have it? In this case, alternative datasets could help generate accurate sales estimates that allow third parties to dive deeper into retailers’ performances.
Retail sales estimates can help you gain visibility into the performance of competitors, obtain insights into tenants’ revenue, sharpen financial models to predict revenue, margins, and cash flows, and identify anchor businesses within communities.
There are different methods one can employ to estimate a retailer's sales, from indirect approaches such as manually counting customers to technological solutions that involve location analytics. A few approaches are:
Using several methods to quantify and validate the estimation will probably yield the most accurate result.
When analyzing any property, it’s important to consider key insights such as foot traffic, demographics, and sales data. Placer.ai, with its user-friendly platform, offers you insights into all of these. If you don't have access to actual sales data, Placer.ai’s Retail Sales Report can deliver estimates for retail properties or chains at the store level across a variety of categories, including grocery, superstores, restaurants, home improvement, and more.
The Retail Sales report combines Placer.ai's visitation analytics with third-party transactional data to generate insights about sales performance at a variety of retail locations over time. The resulting process generates sales estimates and a new understanding of spending patterns.
Northmarq Capital’s client, a grocery-anchored retail shopping center in Staten Island, NY, needed help finding a lender to secure $22M and refinance the center. As with many retail deals, they did not have tenant sales data to help a lender get comfortable with the deal. This is where Placer.ai’s Retail Sales Report was necessary. It helped Northmarq show that the tenants were strong, and this data helped secure the loan.
Accurate retail sales estimates provide a crucial layer of visibility in an increasingly competitive landscape and are a powerful tool for businesses across industries. By leveraging sales estimates, stakeholders can make more informed decisions, optimize operations, and uncover new opportunities for growth. With solutions like Placer.ai’s Retail Sales Report, businesses can gain a deeper understanding of consumer behavior and retail performance without needing direct access to sales data. Embracing these insights can unlock new levels of strategic planning, ensuring sustained success in an ever-evolving market.