This paper carried out an extensive empirical study on mobile service usage in Finland. A newly developed handset-based mobile service research platform was utilised with automatic data mining procedures. The approach provided a scalable and novel market research approach. A typical Finnish panelist spends a daily average of 33 min with a smartphone. Most of this time is allocated on voice calls (33 per cent) and messaging (24 per cent), the overall communication usage representing 60 per cent of all usage time. Younger people and men are still the most active users of smartphones. The Finnish market has developed particularly in the use of packet data and person-to-person services. Handset bundling has indirectly driven usage because more data, voice and SMS packet plans are available. Handset bundling is also reflected in the increased use of operator-specific clients. ABPU (average billing per user) levels correlate with data, voice and SMS service usage, whereas no clear correlation between ABPU and (free) offline service usage exists. People still consider the pricing and technical implementation of the mobile WWW and email as bottlenecks for wider mobile internet usage. WLAN traffic already represents a significant share of aggregated traffic volume, although the number of WLAN-capable phones in the panel is small. Mobile data volume is evolving gradually towards multimedia and infotainment from mere static content and communication. Three distinctive end-user segments were identified when demonstrating usage-based clustering of users. The handset-based research approach has many advantages to alternative market research tools.
[1]
Clayton M. Christensen.
The Innovator's Dilemma
,
1997
.
[2]
E. Rogers,et al.
Diffusion of Innovations
,
1964
.
[3]
Hannu Verkasalo,et al.
Empirical observations on the emergence of mobile multimedia services and applications in the U.S. and Europe
,
2006,
MUM '06.
[4]
Gregory D. Abowd,et al.
Cyberguide: A mobile context‐aware tour guide
,
1997,
Wirel. Networks.
[5]
Elizabeth Martin,et al.
Chapter 16 – Surveys as Social Indicators: Problems in Monitoring Trends
,
1983
.
[6]
Heikki Hämmäinen,et al.
A handset‐based platform for measuring mobile service usage
,
2007
.
[7]
Arlene Fink,et al.
The Survey Handbook
,
1995
.
[8]
Shumeet Baluja,et al.
A large scale study of wireless search behavior: Google mobile search
,
2006,
CHI.
[9]
Geoffrey A. Moore,et al.
Crossing the Chasm
,
1991
.
[10]
Atsushi Iimi,et al.
Estimating demand for cellular phone services in Japan
,
2005
.
[11]
Chih-Ping Wei,et al.
Turning telecommunications call details to churn prediction: a data mining approach
,
2002,
Expert Syst. Appl..
[12]
Irvine Clarke,et al.
Mobile portals: the development of M-commerce gateways
,
2003
.
[13]
Timo Ojala,et al.
SmartRotuaari - Context-Aware Mobile Multimedia Services
,
2003
.