PRIME
PRIME (Push Relevantly to Increase Mobile Engagement)
Total Cost €
0EC-Contrib. €
0Partnership
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0PRIME project word cloud
Explore the words cloud of the PRIME project. It provides you a very rough idea of what is the project "PRIME" about.
Project "PRIME" data sheet
The following table provides information about the project.
| Coordinator |
DONE ILETISIM BILGI SISTEMLERI VE YAY. SAN. VE TIC. A.S.
Organization address contact info |
| Coordinator Country | Turkey [TR] |
| Total cost | 71˙429 € |
| EC max contribution | 50˙000 € (70%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) 2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument) |
| Code Call | H2020-SMEINST-1-2014 |
| Funding Scheme | SME-1 |
| Starting year | 2014 |
| Duration (year-month-day) | from 2014-10-01 to 2015-03-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | DONE ILETISIM BILGI SISTEMLERI VE YAY. SAN. VE TIC. A.S. | TR (ESENLER) | coordinator | 50˙000.00 |
Map
Project objective
'The rapid growth of smartphones and tablets pave the way for proliferation of a variety of mobile applications. Push notifications, which provide enhanced communication when compared to SMS, became the de facto messaging tool between application owners and mobile users. However, push notifications are still sent carelessly which results user frustration, low open rates (10%) and decreased user retention.
PRIME (Push Relevantly to Increase Mobile Engagement) is cloud service which aims to create the next leap in push messaging by gathering various sensory information from mobile devices analyzing big data and providing real-time insights by using machine learning, data mining and home grown pattern matching algorithms. PRIME will anticipate mobile users’ context, and forecasts their needs from previous usage patterns and dynamic models. PRIME will either send relevant push notification immediately or refer it for a more relevant time in the near future.
PRIME anticipates the “prime time” of mobile user and send push notifications accordingly. The dynamic model of PRIME is expected to increase open rates of push notifications among smartphone and tablet users tremendously. PRIME has both benefits to mobile users and mobile application owners. Sending push notifications relevantly increases customer retention due to mobile user satisfaction and increases mobile engagement which in turn increases mobile revenues.
The initial research for PRIME has been done by DONE A.S. and funded by TÜBÄ°TAK (Scientific and Technological Research Council of Turkey). The research findings, which are also published in 'Human Computer Interaction International' 2013 and 2014, demonstrated a 36% user engagement increase and 21% increase in the number of active users. These demonstrated results equal to an impact of 26.62 billion EURO in 2018 globally, whose details are given in the proposal document.'
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The information about "PRIME" are provided by the European Opendata Portal: CORDIS opendata.