Tag: mobile commerce

Mobile payments could expand due to new partnership

Lotaris, a leading licensing firm catering to mobile application developers, has partnered with PayPal to make mobile payments somewhat easier in terms of software. Together, the two companies will work to expand the reach of mobile commerce into new markets. Lotaris will expand the mobile commerce services it offers through its in-appCommerce platform to more than 80 countries. Currently, the platform is only available for Windows Phone users, but Lotaris plans to support Android and HTML5 platforms in the near future.

Lotaris platform expands into new markets

Mobile payments are beginning to attract a great deal of attention around the world. As such, the demand for comprehensive mobile commerce services is on the rise. Companies like Lotaris are beginning to feel the pressure to adapt to the changing interests of consumers and have begun offering application developers more support in this sector. PayPal already has a strong presence in the mobile commerce field and is expected to provide a significant level of support to Lotaris in its efforts to engage developers and consumers alike.

Developers could find success through Lotaris platform

Using the in-appCommerce platform, developers are able to monetize their products through multiple channels using a single code base. The platform is designed to be as convenient for developers as possible. Through the platform, developers are able to find exposure for their mobile commerce applications. Thanks to the new partnership between Lotaris and PayPal, this exposure may increase exponentially in the near future.

Security concerns keep consumers leery of mobile payments

While mobile payments are gaining popularity, there are still many people that are wary of the concept of making payments from their mobile devices. This is due to the fact that financial information is very attractive to hackers. Mobile commerce has become one of the most lucrative fields for malicious parties looking to exploit this information and this has discouraged many people from participating in mobile payments.

The contribution of personalization has made a considerable difference in the channel’s popularity.

According to a whitepaper that was recently released by Medio, this year, mobile commerce is contributing 17.4 percent to the total online shopping revenues, and that is only expected to rise.

The report went on to predict that the channel will represent 25 percent of online revenues by 2017.

Medio pointed out that retailers are finding mobile commerce to be appealing in a number of ways, and these are helping to make it more effective so that they can generate more revenues by way of smartphone and tablet shoppers. It stated that the channel gives companies the chance to collect a considerable amount of useful data from consumers. Though the majority have yet to figure out how to use this information to its greatest potential, there remains a significant amount of value that can be pulled from big data.

The mobile commerce whitepaper showed that real-time tools and predictive analytics assist in personalization.

It showed that the information gleaned through mobile commerce can, in turn, be applied to personalizing the experience offered by the retailer to encourage the consumer to shop for the first time, and to return once more when similar products are needed.

In terms of personalization and its importance, the whitepaper stated that “A search for a product might begin on a smartphone, while order fulfillment is finalized on a PC or tablet. Being able to identify the same user across devices is necessary to create a personalized relationship; the foundation of sophisticated and intelligent user segmentation starts with being able to deduce when two users are in fact the same person.”

Mobile commerce does not typically allow for the use of cookies. Therefore, to compensate for that, it is important for companies to use advanced customer segmentation, said the whitepaper. This requires the use of matching algorithms with greater sophistication. This practice uses a form of predictive analytics, which can assist in targeting users more effectively, at the times that they are most likely to be interested and receptive to product information, discount opportunities, and calls to action.