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The major difference in eCommerce market of 2017 is the technology, that will become more affordable and integrated easily, without relying on big budgets or an in-house technical support.<\/span><\/p>\n Tools that were previously exploited by the large corporations, now will become more accessible for small and midsize eCommerce companies.<\/span><\/p>\n We have highlighted 7 major trends in eCommerce marketing, that will dominate in 2017.<\/span><\/p>\n Since content personalization has become such an integral part of user experience, it won’t take long before popular CMS platforms will start including personalization tools by default.<\/span><\/p>\n Over 88% of all online buyers agree, that personal product recommendations and dynamic content make an online store seem to be more appealing.<\/p>\n Currently, external personalization platforms, such as REES 46, provide pre-built modules for popular CMS platforms. After installing these modules, even a small online store can get all advanced features of large online retailers like Amazon.<\/span><\/p>\n What goes next, is a much tighter integration of these module providers with CMS developers, or an actual development of CMS-owned, built-in personalization tools.<\/span><\/p>\n It is now clear, that marketing automation can deliver outstanding results. For example, series of automated trigger emails<\/a> are capable of generating 131% greater<\/a>\u00a0sales revenue \u00a0than an average email sendouts.<\/span><\/p>\n Another major trend in 2017, can be a widespread distribution of eCommerce automation \u00a0that will engulf the majority of small and midsize business.<\/span><\/p>\n There are already prototype companies similar to enterprise-oriented Oracle, that are much better suited for small size business. Also, the majority<\/a> of online store owners are highly interested in merging all of the marketing automation processes into one reliable solution, rather than dealing with multiple scattered services individually.<\/span><\/p>\n In , small and midsize business will continue shifting towards combined multitasking platforms, instead of choosing bundles of individual tools (product recommendations,email marketing, remarketing for abandoned shopping carts etc.)<\/span><\/p>\n One of the major advances of mobile apps for eCommerce is the possibility to send push notifications. This method is known for its high delivery speed and open rate.<\/span><\/p>\n 2016 is remarkable for bringing to life new technology called web push notifications.<\/span><\/p>\n Previously, the online store needed it’s own mobile app to deliver push notifications, but it is not a requirement anymore.<\/span><\/p>\n Along with email send outs, web push notifications can be trigger-based<\/a> as well as regular<\/a>.<\/span><\/p>\n They are not any different from native app notifications and can be delivered for desktop and mobile website visitors.<\/span><\/p>\n All you need is a secure SSL certificate in order to utilize it.<\/span><\/p>\n Flash sales – auctions with super short life span (24 hours or less) have been practiced in eCommerce before.<\/span><\/p>\n However, the only viable option for such a short term notifications were SMS messages, since emails simply couldn\u2019t \u00a0fit the criteria, considering they\u2019ve been opened once every 1-3 days.<\/span><\/p>\n Web push notifications do not require the visitor to reveal the phone number and even can be displayed for the new site visitors making it a perfect solution for flash sales notifications.<\/span><\/p>\n This is a stable trend since 2014, when out of all eCommerce website traffic, the mobile traffic started to dominate (50,3%<\/a>).<\/span><\/p>\n Further online store optimization for mobile devices will continue its growth, creating adaptive websites and mobile friendly solutions.<\/span><\/p>\n Big Data analysis for eCommerce is a massive processing of giant \u00a0volumes of data with the purpose of understanding the global customers behavioral patterns. It is the past year’s trend.<\/span><\/p>\n For example, Big Data analysis is often used to generate personal product recommendations – the system evaluates behavior pattern of the current site visitor and compares it with millions of others, making conclusion which visitor is likely to make a purchase.<\/span><\/p>\n1. Built-in Personalization Tools as Part of CMS Platforms<\/span><\/h2>\n
2. Marketing Automation for Small-scale Online Retailers<\/span><\/h2>\n
3. Combined Analytical Tools for Small Business<\/span><\/h2>\n
4. No Need to Develop eCommerce App<\/span><\/h2>\n
5. Flash Sales Will Be On the Rise<\/span><\/h2>\n
6. Further mCommerce Growth<\/span><\/h2>\n
7. Small Data Platforms Will Complete Big Data<\/span><\/h2>\n