to mobility data, retailers can get a deeper insight into their business
by analyzing changes in sales volumes and the consequences of fluctuations in footfall
levels inside and outside stores. At the same time, they can measure the effectiveness of marketing
campaigns, providing a clearer picture of what really works for a target audience.
You may be interested in: "Walmart Vs. Soriana: Consumer Foot traffic Analysis
The ability to analyze footfall data and conversion rates provides a clear view of staff and store performance by hour
, day or week, identifying areas for improvement within key business metrics.
By further analyzing customer dwell time and visitation rates, footfall data analysis provides insight into the customer experience at the point of sale
.How can profitability be maximized by analyzing footfall at the point of sale?
Consumer footfall data and analytics offer the ability to maximize profitability at the point of sale by identifying, for example, when staffing costs can be reduced or when less inventory
can be held. Another benefit is the tracking of in-store traffic patterns and forecasting where key outlets/products should be placed to enable the business to make the most of incoming traffic.
Also read: "Retail: Benefits of Data Monetization
The result of effective mobility analytics
shows several types of insights, for example:
"This image represents an analysis of the evolution of visits of two popular fast food franchise outlets in Mexico over a period of three months."
Data-Driven we provide analytics based on mobility data to measure different factors and provide business intelligence solutions for any type of industry.
[formulario_9001 Do you need to implement mobility analytics in your business to maximize revenue and optimize costs? Contact us!]
Analytics based on Big Data allows mall operators to maximize revenues and visits by better selecting tenants, optimizing mall design, determining rents, establishing signage and advertising campaigns, etc.
New technological tools allow mall operators to measure the number of consumers spending in and out of stores, the time they spend in and out of stores, know their
, helping to determine the best mix of stores, site infrastructure, rent price range and implement more efficient signage and