We get it. Shopping online has become an integral part of your lifestyle. Always making time to check on products that you need and earmarking products for the future, especially when there are sale days. A general acceptance of the conveniences of online shopping has already established itself across the globe. Trips to the mall, even though existent, are few and far apart. Also gathering steam in the world of online shopping is the use of data analytics, which in simple terms indicates what product is popular, who is buying it, what types of reviews they are providing, the gender of the buyer, details which are then fed into software to optimize the overall buying experience.

If you notice that in the list of variables, there is a mention of the gender of buyers, data analytics and surveys have uncovered notable differences in the mannerisms exhibited by men and Women when it comes to online shopping. In the days before the E-Commerce prevalence that we are now observing, there were malls and high street shops and stand alone branded shops specialized in selling electronics or cars or cosmetics or surgical supplies.

The variety of shops were almost endless, both in malls and as standalone entities. For women it was a social event, to go out for shopping, with their friends, stop over for coffee or lunch after shopping to discuss their latest acquisitions and the unique characteristics of such acquisitions. During the same time, men, whether or not they were exhibiting an ancient need to be independent or just not wanting the hassles of opinions or reviews, went alone, to the malls or shops, bought their requirements and left. No questions asked there.

This article started with the dominance of online retail, and there is a specific reason for that. This phenomenon has made it possible for you to read product descriptions, search for alternative products, purchase products already present in your cart and suggest products for your friends to buy on social media platforms. Such is the genius of cutting edge multifunctional online retail platforms complete with the integration of variables that are expressed as patterns of all shoppers. With this being mentioned, there are differences in the behaviour of men and women when it comes to basic shopping patterns such as time spent on browsing for products, price research and review dependence.

The established fact here is that women take time in looking at similar products from various brands. Men on the other hand have read reviews, know what they are looking for and then finish off their shopping in considerably lesser time. Men also are not oriented towards purchasing a product for future needs which women are more likely to do. A third observation here is that men for the electronics and women for the shoes. A fact that is slowly eroded as women are interested in electronic goods and men are also gaining interest in fashion products. A strong point that is evident from shopping behaviour is that women are attracted to the emotional aspect of shopping, whereas men consider shopping a chore and may have a certain dislike towards spending extra time on shopping. All these observations relate to concepts that have been seen from the days before E-Commerce.

In the current scenario, the use of devices is more relevant, and there is only a slight difference in the number of men compared to the number of women who use either desktops or mobile devices for their online shopping needs. This analysis provided to you goes back to the point in this article about the application of data analytics to determine the optimization of the online shopping experience as well as to ensure that men and women are specifically targeted to boost product recall, enable quicker purchases and basically generate revenue for online retail portals.

Hence, enjoy your shopping, whether it’s for the latest power drill or for that satin midi skirt that was in the cart for a week now!

Reference Websites:

• Marketingdigest.com
• Blog.jakpat.net
• Marketandselltowomen.com
• Browntape.com
• Paymentsense.co.uk
• Businessinsider.in
• Cnbc.com
• seventeen.com

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