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Shopping Behavior Analysis

Everything about Shopping Behavior Analysis


What is Shopping Behavior Analysis?

Shopping behavior analysis is a technique that is used to assess the behavior of shoppers and in the process, helps deduce their buying preferences and patterns. There are various factors linked with the analysis such as the environment, the nature of the product (food or clothing), its cost (expensive or cheap) and so forth. It allows marketing or sales personnel to easily predict market trends, which is useful when deciding on production, supply, and distribution.

What is Shopper Behavior?

Shopper behavior refers to the response that a buyer will exhibit, whether emotional or physical while making a purchase. There is also a response before and after the purchase which is a reaction as to whether it has been satisfying or not. Some of the common shopper behaviors that might influence a purchase include prestige or pride, imitation or emulation, comfort or a desire for comfort, and affection. Pride is the most common because it gives a sense of power when the buyer owns a product that elevates their social class. Generally, buyers pay for products that will better their lives and make them comfortable in the process. In line with pride, other buyers will buy a product to try and resemble someone who has an elevated social status e.g. a celebrity.

What is online Shopping Behavior?

Online shopping behavior refers to the direct buying of goods and/ or services from a seller over the Internet using a web browser. Online shoppers find a product of interest by visiting the website of the retailer directly or by searching among alternative vendors using a shopping search engine, which displays the same product’s availability and pricing at different e-retailers. Factors that influence online shopping behavior include ease of checkout because there is no queue, number of payment methods available, and discount options. For online shoppers, convenience is the best aspect of shopping online. With shelf space not being an issue online, buyers turn to the Internet because of the wide selection products available.

Why Analyze Shopper Behavior?

The monitoring of shopper behavior is about observing and collecting data for future reference. Here, there is a very stringent observation of when, how, why a product is purchased and by whom. It helps paint a picture or broaden the scope of why the shopper behaves in the manner that they do. By monitoring shoppers, their tendencies can be isolated to create various personalities that are based on their emotional behavior or why, when, how, and who they are buying the goods.

Discover our solution

Shopper Behavior Tool

A shopper behavior analysis tool or software is a product that helps businesses spot behavior trends real-time. Pertaining to shopping, it would give accurate interpretations as well as predict a trend or pattern by using the data or real-time statistics gathered.

To make online shopping a personalized experience for the consumer, companies incorporate artificial intelligence (AI) and machine learning (ML) into the e-commerce experience. Facial recognition is a technology that uses AI and ML, helping businesses build a strong sense of loyalty between customers and brands.

Other articles you might find interesting:

Online Shopping Behavior
Customer Analytics
Programmatic Digital Advertising


Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.