Because simple person-to-person messaging is such an important component of total SMS traffic volumes, anything that simplifies message generation is an important enabler of SMS. Predictive text input algorithms significantly reduce the number of key strokes that need to be made to input a message. T9, from Tegic, anticipates which word the user is trying to generate. Widespread incorporation of such algorithms into the installed base of mobile phones will typically lead to an average uplift in SMS traffic of 25% per enabled user. These predictive text algorithms support multiple languages
The introduction of standardised protocols such as SIM Application Toolkit and the Wireless Application Protocol (WAP) contribute to an increase in messaging usage by providing a standard service development and deployment environment for application developers and business partners. These protocols also make it easier for users to reply to and otherwise access messaging services through custom menus on the phone. While these protocols are only a means to an end and not new messaging destinations or services, they are likely to lead to a 10-15% uplift in total SMS volumes
There is no doubting the success of SMS. The market in Europe alone had reached over three billion short messages per month as of December 1999, despite little in proactive marketing by network operators and phone manufacturers. Key market drivers over the next two years, such as the Wireless Application Protocol (WAP), will continue this growth path.
Typical uses of SMS include notifying a mobile phone owner of a voicemail message, alerting a salesperson of an inquiry and telling a driver the address of the next pickup. While these protocols are only a means to an end and not new messaging destinations or services, they are likely to lead to a uplift in total SMS volumes
Thursday, April 2, 2009
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