Is your footfall counting still stuck in the 90s?

Using retail analytics technology to identify your shopper for real insights


Your consumer is more than a number. Understanding this will help you understand them better.

Footfalls determine the success of any retail store. And the advancements in retail technology have turned this into a science. However, the retail industry in India hasn’t progressed beyond customer count. Even today, most retailers depend on clickers and other outdated devices to measure store traffic to determine core retail metrics like conversion.

But retail analytics has moved generations ahead. Traditional devices only give you numbers and numbers only reflect “how many’’. They do not reveal ‘‘who’’, ‘‘what’’, ‘‘where’’, ‘‘when’’, ‘’why’’ and ‘’why not’’. The challenge has always been in answering these questions. Find the answers and a universe of insights will bare itself to you.

Gain powerful insights

A few retail analytics platforms are reinventing traffic counting by going beyond conversion. One of them is Traffic 2.0, a patented, proprietary web-based platform by RetailNext, that uses sensors to collect valuable shopper demographic and behavioural data. Traffic 2.0 integrates with data sources like workforce management, POS, CRM, loyalty and other data streams, delivering powerful insights:

  1. ‘’Who’’ is your shopper?
    • Gender and age range
    • Geo-origin
    • Stores visited before and after
    • Behaviour in the store
    • Engagement with merchandising displays and sales associates
  2. “What” does your shopper do
    • Mobile web browsing habits – sites and search information data while in the store
    • Precise points where staff interact with shoppers and where shoppers head during or post the interaction
    • The impact of staff interactions on sales
    • Co-relation between customer behaviour and sales
    • Displays which create the most sales
  3. “Where” do your shoppers go in-store?
    • Direction mapping – where do shoppers head to on entering the store
    • Which displays grab attention/are ignored
    • Which parts see highest/lowest traffic
    • How customers engage with displays and merchandise
    • How staffing and store traffic affect fitting and check-out queues
  4. What’s the “why” or “why not” behind the buy?
    • How does store staffing correlates to store traffic, sales and conversion
    • Identify opportunities to better allocate staffing to improve store service and sales
    • Compare how shoppers who convert navigate through the store, with those shoppers who do not convert
    • Determine purchase influencers – a sales associate interaction or a particular store design
    • Store designs and layouts that can create higher shopper engagement and purchasing
Your customer is more than a number

By measuring the flow, directionality, and conversion rates of their shoppers, physical retailers gain deeper understanding of their customers. This empowers them to deliver a differentiated value proposition and an improved shopping experience eventually increasing customer loyalty. A mere shopping trip is now transformed into an engaging customer experience.

Improve staff-shopper interactions

Traffic 2.0 includes the ability to separate employees from shopper movement. As it correlates data from various streams, this allows the striation of those data points to report on not only the paths both shoppers and employees take, but the crucial interactions where their paths crossed. Associate-shopper interactions impact shopper behaviour and store performance and such insights can provide new perspectives. By continuously identifying traffic cycles across days, weeks and years, staff and customer-to-staff ratio can be aligned to traffic power hours.

Traffic 2.0 will increase your footfalls. Let us show you how.



Contributing Authors
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