Increasing Complications
in Calculating and Comparing Revenue for Mobile Operators
By Trisha Mitra
As
many countries, particularly in Western Europe, are
nearing saturation in mobile penetration, mobile operators
have shifted their emphasis and attention from increasing
their customer base, to maximizing their average revenue
per user (ARPU) figures.
For instance, in the Netherlands, C.H. Vanbuttingha,
an Investor Relations spokesman for KPN stated in
an interview that Netherland’s mobile “penetration
has reached 76% and is stabilising…the growth
possibilities are limited and even some of the operators
will report negative subscriber growth”. Similar
growth in penetration levels encroaching saturation
is occurring throughout the remaining Western European
countries, where on average it is said to be already
70% of the population. The saturation point is estimated
to be around a penetration percentage of 80%, since
a proportion of the population that are too young
or too old are less likely to own a mobile phone.
A closer examination of mobile penetration for Orange,
one of the main pan-European wireless carriers, similarly
reveals that their penetration market has currently
reached “62% in France, 75% in the UK, and 70%
in most of our Western Europe key controlled operations”
according to an Orange Investor Relations Manager.
The typical methodology for calculating ARPU is by
dividing the total summation of revenues from access
fees, incoming and outbound traffic, visitor roaming
and value added services over a twelve-month period,
by the weighted average number of subscribers during
that same twelve-month period.
With the shift in mobile operator’s focus to
the optimisation of ARPU by extracting more money
from existing subscribers, new complexities have arisen
in comparing revenue amongst the different mobile
operators. An evaluation of the key mobile operators’
ARPU figures display the discrepancy involved with
calculating and comparing performance through revenue
generated per user. One common difference across wireless
operators is that interconnect charges by one operator
may be factored into the computation of ARPU, while
other mobile operators may exclude this variable in
their revenue measurement.
A recent and significant case illustrating the complexity
of comparing mobile operators’ ARPU is by one
of the largest global mobile operators, Vodafone.
In the first quarter of 2001, Vodafone announced that
they would amend their method in measuring ARPU, by
not including their inactive subscribers from the
total customer base. Vodafone pointed out that inactive
prepaid subscribers are unable to contribute to quantifying
revenue since these subscribers have not used the
network for over three months. Apparently these adjustments
in the calculations of ARPU made significant changes
from the first quarter of 2001 to the second quarter
of that same year.
Industry analysts have also pointed out that that
with the pressures of mobile operators to produce
high ARPU figures indicating progress in the company’s
performance, many mobile operators may adjust their
methodologies for revenue calculations to maximize
their ARPU value. The table and graph below is taken
from our latest research that exemplifies the dramatic
change in ARPU for Vodafone in the UK from the first
quarter to the second quarter of 2001 with the change
in their calculations.
United Kingdom Blended ARPU
|
Blended ARPU (Euro)
|
|
|
|
|
|
|
Operators
|
Q1 2001
|
Q2 2001
|
Q3 2001
|
Q4 2001
|
Q1 2002
|
Q2 2002
|
|
Vodafone
|
423.361
|
453.601
|
447.221
|
450.404
|
439.263
|
442.446
|
|
T-Mobile
|
312
|
312
|
324
|
324
|
332
|
336
|
|
Orange
|
423.329
|
405.822
|
406
|
396
|
393.091
|
401.054
|
|
O2
|
427.71
|
399.09
|
378.42
|
365.7
|
367.29
|
372.06
|
|
TOTAL
|
1586.4
|
1570.513
|
1555.641
|
1536.104
|
1531.644
|
1551.56
|
|
figureSeeqTM
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Furthermore, with the evolving migration from voice
to data, services offered by wireless operators will
continue to develop and become more advanced and varied
amongst different carriers, leading to increasing
complexities in measuring and comparing revenue.
|