Shopper Behavior Analysis

Posted On Oct 25, 2020

Shoppers buy to meet consumer needs, or at least the needs that they perceive exist. Shoppers rarely buy things without some idea of the consumption. Most shopper missions have an element of consumption in them. Therefore unless we really understand that consumer need, we’re really not understanding the shopper fully!

Current technology enables a new paradigm shift in the retail sphere.

People shop 24/7, but we don’t serve customers 24/7

•eCommerce, mCommerce, AI, chat bots, and others,…… help that there is always available supports for shopper. 

•Companies that answer this need are viewed as customer-centric, which adds to the customer experience and overall brand impressions. 

“I want to communicate my way”

•Consumers differ wildly on how they prefer to receive communications. Studies show that email is the overwhelming preference for order updates, customer service issues, and product recommendation – well over 80 percent of consumers in the survey stated this preference over text messaging and push notifications.

Shopper Behavior Analysis is the process of gathering data on the actions of buyers in a retail environment, and then using that data to identify shopper buying preferences and patterns. Analysis include:

•The shopping environment and how shoppers navigate it

•The number of buyers present in the shop at a given moment or during a time frame

•The nature of the products

•The cost of the products

•The times at which people shop

This type of analysis enables marketers to predict market trends, which is useful when making buying decisions, setting up promotions, and designing store layout.

Shopper behavior refers to the actions and emotional responses of buyers during the shopping process. In a physical shopping environment, aspects of shopping behavior that may be useful to observe include:

•Which products draw the shoppers’ attention?

•Which products or which elements of the store layout cause confusion?

•How do shoppers navigate the store?

•At which times do customers prefer to shop? And is there a noticeable demographic trend? E.g. do working-age people prefer to shop in the evenings? Or in the mornings on the way to work?

•What emotional responses do people show throughout their shopping experience? What is the predominant emotion among shoppers at various points throughout the day and on different days of the week?

Why Analyze Shopper Behavior?

•There are many different aspects that affect shopper behavior, and some of these can be influenced by the retailer. Examples include: store layout, product placement, promotions, background music, length of the checkout lines, and availability (and helpfulness) of store assistants.

•To find out how to optimize these aspects – and increase sales and enhance the customer experience – it is necessary to analyze shopper behavior to determine what produces the best results within a specific store.

Tools for Analyzing Shopper Behavior

•When it comes to analyzing shopping behavior in a physical store environment, crowd analysis tools that rely on face detection and face analysis are a good choice. These AI-based tools enable you to, for example:

•Count the number of people entering a store

•Record the times at which people enter a store

•Identify the demographics, such as age and gender, of the people in a store

•Track the movement of people within a store

•Analyze the emotions of people as they shop