United Nations Economic Commission for Europe Statistical Division So who are all these customers anyway? First steps towards effective customer management UNECE Work Session on Statistical.

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Transcript United Nations Economic Commission for Europe Statistical Division So who are all these customers anyway? First steps towards effective customer management UNECE Work Session on Statistical.

United Nations Economic Commission for Europe
Statistical Division
So who are all these customers
anyway?
First steps towards effective
customer management
UNECE Work Session on Statistical Dissemination
and Communication – Geneva, 13-15 May 2008
Contents





Starting from zero
Our first user survey
Other sources of user information
Improving our services
Conclusions
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 2
Starting from zero




We started disseminating data on the Internet
in 2005
The number of
downloads grew
steadily
We knew nothing
about these users
How could we improve our dissemination
service?
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 3
Our first user survey



Launched Autumn 2007 on database
web site
10 questions
162 responses
(target 100)
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 4
Results:
Type of
user
M e d ia
Ind ivid ua l
O the r
Na tio na l
S ta tistica l
O ffice
P riva te
b usine ss
Na tio na l
g o ve rnm e nt
Inte rna tio na l
S tud e nt
o rg a niza tio n
/ NG O
A ca d e m ic /
re se a rch
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 5
Results:
Frequency
of use
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 6
Results:
Location
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 7
Very poor
1%
Poor
1%
Results:
Data quality
Excellent
18%
Average
17%
Good
63%
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 8
Results:
User
interface
Poor
1%
Average
23%
Very poor
1%
Excellent
15%
Good
60%
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 9
Other sources of information

Marketing exercises
•

Highlighted low awareness of UNECE data
Data extraction records
•
85% on screen, 10% to Excel
• Web addresses stored – many downloads
from universities

Google analytics
•
Free service analyzing web site hits
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 10
Google Analytics – website hits
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 11
Google Analytics – website hits
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 12
Improving our services (1)




New “Country Overview” data cube to
give quick access to key indicators
More content in Russian
More and better metadata
Statistical literacy
•

New “Statistics Explained” series of articles
Improved timeliness
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 13
Improving our services (2)


Simplified user registration
Additional functionality for registered users
•



Alerts (RSS feeds?)
Data quality improvement strategy
Annual user surveys
Targeted marketing
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 14
07 November 2015
Steven Vale - UNECE Statistical Division
M ay - 2008
A p r - 2008
M ar - 2008
F eb - 2008
Jan - 2008
D ec - 2007
N o v - 2007
O ct - 2007
Sep - 2007
A u g - 2007
Ju l - 2007
Ju n - 2007
M ay - 2007
A p r - 2007
M ar - 2007
F eb - 2007
Jan - 2007
Downloads (Index)
The impact of targeted marketing
350
= Ma rk e tin g C a m p a ig n
300
250
200
150
100
50
0
Slide 15
Conclusions (1)

We are just at the tip of the iceberg
−


but at least we are starting to know how
little we know!
Building customer knowledge and
relations is vital for effective marketing
Use all available information sources to
get a fuller picture
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 16
Conclusions (2)



More users = more visibility
Happy users = more relevance
Visibility and Relevance = Survival!
Good customer knowledge and relations
are a vital part of future strategy
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 17