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Gendered Web Stats

The 'Men vs. Women: Online Shopping Habits' Infographic Breaks Down Spending

— July 19, 2011 — Pop Culture
The 'Men vs. Women: Online Shopping Habits' infographic will certainly surprise you! The online shopping revolution has changed the consumption experience such that it is catered to the male shopaholic. Without all the bother of the stereotypical women's mention of "Oh, just one more minute sweetie, I saw another sale!" men can indulge freely on the web. The statistical breakdown chronicles the shopping habits of both genders in this modern, Internet world and indicates that men are in fact spending more money than women online.

The infographic also breaks down spending habits by age and stage, claiming that at the 45 to 54 range, spending peaks for both genders. According to Extrabux, "men are the tenured online shoppers, therefore they feel more comfortable buying big ticket items averaging $67.82. Significantly higher than the average online purchase of women coming in at $51.84

Implications - The rise of the digital age has had significant impacts on the buying and selling process. Where shopping centers and marketplaces were once the most prominent outlets for consumption, online shopping has simplified the process to appeal to the modern consumer, who sees the shopping experience as daunting and avoidable.
Trend Themes
1. Gendered Online Shopping - Businesses can cater their online shopping experience to the specific spending habits of men and women, potentially increasing profits.
2. Online Shopping for Men - Opportunities exist for businesses to create targeted marketing campaigns that appeal to male shoppers, especially for big ticket items.
3. Aging Online Shoppers - As spending peaks for both genders at the 45-54 age range, businesses can create targeted marketing campaigns for this demographic based on their spending habits.
Industry Implications
1. E-commerce - E-commerce sites can analyze the spending habits of men and women to create a more tailored online shopping experience.
2. Retail - Retail stores can use these statistics to target their marketing campaigns and potentially increase sales, especially for big ticket items.
3. Marketing - Marketing companies can use this information to create targeted campaigns based on gender and age demographics to increase engagement and sales for their clients.
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