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US Online Retail Success is Forecasted to Increase Dramatically

Anyone who is interested in the online marketing business will be interested to discover which direction US online retail sales are heading towards in the near future.

According to this infographic created by Invesp, by 2017 it is predicted that 10% of all sales in the US will be made online with mobile devices accounting for 25% of those retail sales. The majority of online users have made purchases online and that consumer market spans almost every single major age demographic. Clearly, tapping into the online sales sphere is definitely a key element in any major brand's marketing game plan with a keen eye being kept on drastic growth in the future.

US online retail sales are soaring with no plans for slowing down anytime soon.
Trend Themes
1. E-commerce Growth - The increasing popularity of online retail sales in the US creates opportunities for businesses to grow their e-commerce platforms and reach a larger customer base.
2. Mobile Shopping - With mobile devices predicted to account for 25% of retail sales by 2017, businesses should focus on optimizing their mobile platforms and creating seamless shopping experiences.
3. Demographic Targeting - The diverse consumer market across all age demographics presents an opportunity for businesses to tailor their marketing strategies and products to different target audiences.
Industry Implications
1. Retail - The growth of online retail sales indicates a need for traditional brick-and-mortar retailers to pivot towards building strong online presence and incorporating e-commerce into their business models.
2. Technology - The dominance of mobile shopping calls for advancements in mobile technology, such as improved user experience, secure payment systems, and innovative shopping apps.
3. Marketing and Advertising - The ability to target specific age demographics in the online consumer market requires businesses to develop innovative marketing strategies, including personalized advertising campaigns and data-driven approaches.

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