The average customer owns and uses at least four devices – mobile, tablet, laptop and a desktop on a daily basis. At least 50-60% of customers use their smart phones and tablets to make online purchases (as explained by Perfomatix).

Due to the favorable development in mobile e-commerce, it is predicted that mobile devices will soon outperform desktops as the main devices for online retail.



What distinguishes the mobile shopping experience from the experience on a desktop site or in a mobile browser?

  • There is a 50% higher chance that e-commerce app users will return to an online store within 1 month;
  • Mobile apps for e-commerce have the lowest rates of abandonment (20%);
  • Push notifications have a successful rate of returning the customers back to the online store;
  • Customers who shop in the mobile apps tend to spend twice more than the desktop users;
  • Average order value in e-commerce apps is 140% higher than in mobile sites.

The statistics are provided by

Better experience for your users

Today’s topic covers the technological advancements in the mobile application development, which are trending in the e-commerce industry and gaining more and more popularity across the businesses.

According to Smartinfosys, these kind of advancements include accelerated mobile pages, voice search, Augmented and Virtual Reality, Mobile Wallets, Social Selling, and Analysis Prediction. In today’s article we will cover the following: accelerated mobile pages (AMP), mobile wallets, analysis prediction and voice search.

Accelerated Mobile Pages (AMP)

According to, Accelerated Mobile Pages (AMP) are a new-to-ecommerce, open-source, Google-led initiative focused on reducing initial page load times on mobile. AMP for e-commerce delivers a mobile experience that loads almost instantly, keeping customers engaged and shopping. With mobile traffic at an all-time high, AMP for e-commerce landing pages has never been more crucial.

AMP was introduced by Google with the intention of improving the loading time of website on mobile devices. It was introduced as a new search index for mobile platforms. AMP will help the developers to rapidly process the websites and apps that take a lot of time in loading. This will improve the performance of mobile devices along with the reduction in bounce rate. This will be a good introduction in terms of SEO (as stated by Smartinfosys).

Access of Voice Search

The use of mobile voice services and voice-based devices has increased drastically over the last few years, with score predicting 50 percent of all searches – not just mobile – to be voice-based by 2020. Voice search will be a great trend in terms of online shopping and will free the customers from the hassle of typing and searching for their desired product.

Forbes states, in a recent report, voice shopping markets are predicted to grow from $2 billion today to a massive $40 billion by 2022, across the U.S. and the U.K. Amazon currently dominates this space: It was predicted that by the end of 2017, nearly 70% of smart speakers would be utilizing Amazon Alexa-based voice assistant products. As shoppers continue to embrace and adopt voice shopping, now is the time to capitalize on this opportunity and optimize for the “invisible” shelf.

Google highlighted that more than 20% of mobile queries are voice-based and this will only grow by 2020. 40% of millennials have already started making search queries through a voice assistant, prior to making a purchase. In fact, a research report from BI Intelligence shows that the younger you are, the more likely you are to switch to and prefer voice-activated search as opposed to traditional search engines (by SmartInsights).



Mobile Wallets

The number one reason for shoppers to use mobile wallets is convenience. As we all know, filling out forms can be painful and slow, especially on mobile devices. Using a mobile wallet means that the shopper does not have to manually enter and billing, shipping, or payment details. There’s also no need for them to pull out a credit card to get the security code, or go hunt for their bank account routing number.

In terms of installs, the largest provider of mobile wallet capabilities is Samsung, with its Samsung Pay boasting 30 million users. Apple Pay and Google Pay (formerly Android Pay) are the closest challengers, with 4 million and 1.5 million users, respectively, as stated by Chargebacks911.

Mobile wallets have been in existence for a few years but will be seen trending more in the coming years. Consumers had already demonstrated that simplifying the online checkout process was mandatory for wide adoption. Mobile wallets give an ease from the stress of carrying cash and or cards to make payments. Mobile wallets are very secure and it is easy to make payments against online purchases. This trend will see a rise in the future. While data security still remains a big concern.

Analysis Prediction

With the help of machine learning and artificial intelligence, we will be able to predict the next situation and future results. It will help e-commerce business to get an estimate of the future business by analyzing the official data and market results of the company.

Neil Patel mentions, in the e-commerce space, machine learning is being used to slowly learn what customers prefer and how they want to see information to get them to make a purchase. It tests and adapts, using new options and information to slowly refine the best way to reach your customers.

Machine Learning can help e-commerce retailers offer intelligence-powered shopping experiences to customers, increase conversions & curtail cart abandonment.

Another way how the machine learning can be implemented is the sentiment analysis, as stated by Perfomatix. Every online store collects user reviews from customers for completed deliveries. Exploring the text reviews submitted by customers can help an e-commerce store know how exactly their customers feel about the product.

Machine learning can be used for real-time sentiment analysis of customer reviews to spot top-rated and worst-rated products. Each text review can be run through an ML system to determine the positiveness or the negativeness of the review.

The same can also be replicated for social media. This would be of immense benefit to an online store which could be collecting thousands of reviews in a single day.




Mobile e-commerce apps allow users to purchase items that they want or need at their convenience. Unlike the desktop online shopping experience, consumers are not limited to ordering and purchasing only in their home, or at workplaces. With mobile apps, users can make purchases when they are on the way, traveling, or simply out and about. It doesn’t matter what date or time it is or where users may be. Mobile marketing has overtaken desktop marketing by a clear margin. With mobile applications, industry has got an entirely new way to market products i.e use of digital technology in e-commerce. For many brands, this is very important because mobile apps allow them to sell items even if their physical stores are closed. This can help increase sales by removing certain purchasing limitations.

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