In-store Retail Analytics

Giving retailers a better understanding of their customers and how their retail store performs

What are in-store retail analytics?

In-store retail analytics is the practice of gathering data from your retail store and then analysing it to provide insights and better understanding of your customers, how they use your store and ultimately how your retail store performs.

A key tool in the collection of this data are footfall and people counters. 

When implemented and utilised correctly, footfall analysis can help shape marketing and operational strategies, and the data collected can be used to inform key business decisions.

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Know more about your business with in-store retail analytics

      Calculate your store's conversion ratio
      Compare store performance
      Analyse footfall patterns
      Optimise staffing levels
      Improve customer service
      Optimise building and store layout

People counting - providing the data for retail analytics

Without accurate data and footfall analysis, even the best management teams will struggle to answer important questions such as:

  • How can I make operational savings?
  • Where can we gain competitive advantage?
  • How do I improve the customer experience?

With convenience and customer experience now being considered just as important as price, if not more so, answering these questions could be the difference between growth and stagnation.

The use of footfall analysis technology also allows areas for significant operational savings to be identified, as well as new business opportunities.

Achieve operational excellence through expert in-store retail analytics by using people counters to collect the required data.

MORE ABOUT PEOPLE COUNTING

People Counting Application - Retail Analytics

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People Counting Application - Supermarkets

Queue management - a powerful application of retail analytics

Retail analytics and footfall analysis are tools that many supermarkets rely on every day to power their queue management systems.

Facing increased competition from online competition, supermarkets use retail analytics and queue management systems to:

  • Improve customer service - increasing customer retention and shopping frequency
  • Reduce queues - increasing shopping time and basket size
  • Optimise staffing – increasing staff efficiency and reducing costs

Footfall data can also power a queue predictor tool, enabling supermarkets to open and close checkouts as required, providing an improved customer service whilst optimising staffing.

MORE ABOUT QUEUE MANAGEMENT

"…we developed a solution that has reduced the average amount of time a customer waits in line to check out to about 30 seconds today compared to around 4 minutes in the past…"
Rodney McMullen, President and COO - Kroger
READ KROGER QUEUE MANAGEMENT CASE STUDY