Retail Footfall analytics

Footfall analytics makes critical operational and strategic decisions for any business, improving conversion rates, maximizing sales, optimizing costs, and increasing brand positioning.

Thanks to mobility data, retailers can gain 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 the 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.

[button button_text=”Like what you see? Request a free DEMO” button_style=”style-1″ button_arrow=”true” button_rounded=”true” font=”Default” button_size=”medium” font_size=”” button_icon=”” button_align=”center” padding_v=”” padding_h=”” button_link=”/request_demo/” link_open=”_self” href_title=”” id=”” class=”” bg_color=”” text_color=”” border_size=”” border_color=”” border_radius=”” h_bg_color=”” h_text_color=”” h_border_size=”” h_border_color=”” h_border_radius=”” margin_top=”” margin_bottom=”” margin_left=”” margin_right=””]

Also read: “Retail: Benefit of monetizing data“.

The result of effective mobility analytics shows various types of insights, for example:

-Customer visits by the hour, day, and week
-Unique customer count
-Identification of potential customers
-Frequency of visits
-Sales conversions
-Which other stores do customers visit
-How many floating customers enter or pass by a point of sale
-Customer dwell time
-How long do customers spend in a store
Customer experience measurement

“This image represents an analysis of the visitation evolution of two popular fast-food franchises in Mexico over a three-month period.”

At PREDIK Data-Driven we perform analytics based on mobility data to measure different factors and provide business intelligence solutions for any industry.

Do you need to apply footfall analytics to your business? Contact us!

    Size of the Company (*):

    Industry (*):

    We will use your information according to our privacy policy.

    I would like to receive relevant updates from PREDIK Data-Driven by mail.

    Our latest article

    white space analysis cover

    Do you want to receive content like this directly to your email inbox?

    Join our community of more than 100K readers and receive weekly articles, studies, and information that will improve your decision-making and business performance.

      See what we are posting on social media

      Get the most out of data. Beat your competition, understand the market, identify new business opportunities, and solve complex problems.

      Talk to an expert >>

      Receive relevant insights straight to your inbox

      Join our community of more than 100K readers and receive weekly articles, studies, and information that will improve your decision-making and business strategies.