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Similaire à Social media analytics_itu_20120416 (20)
Social media analytics_itu_20120416
- 1. This
presenta,on
where
given
at
a
guest
lecture
at
the
IT-‐University
of
Copenhagen
For
more
on
ITU
go
to
ITU.dk
Social
Media
Analy3cs
April
2012
Page 1 | © 2012 MINDJUMPERS. All rights reserved.
- 2. Social
Media
Analy3cs
Objec3ve
of
the
lecture
To
share
how
Mindjumpers
work
with
social
analy,cs
with
our
clients
Page 2 | © 2012 MINDJUMPERS. All rights reserved.
- 3. Two
business
units
under
the
Social
Media
Group
Page 3 | © 2012 MINDJUMPERS. All rights reserved.
- 4. Mindjumpers – Social Media Agency
• The
agency
operates
in
Northern
Europe
with
a
main
presence
in
the
Nordic
• Have
in
just
3
years
become
a
leading
full
service
social
media
agency
in
the
Nordics
• Profitable
and
based
on
organic
growth
• Key
offering
is
to
help
companies
and
brands
organize,
manage
and
engage
in
social
media
Page 4 | © 2012 MINDJUMPERS. All rights reserved.
- 5. We
enable
companies
to
strategic
develop
and
execute
interna3onal
social
media
ini3a3ves
in
a
structured,
quality
assured
and
cost
effec3ve
way
across
markets
with
focus
on
crea3ng
effect
and
value
Page 5 | © 2012 MINDJUMPERS. All rights reserved.
- 6. Securing
offering
through
proven
and
structured
process
Organize
• Secure
quality
and
best
prac3ce
in
community
management
across
markets/countries
Manage
&
Measure
• Secured
through
training,
procedures,
guides,
manuals
and
key
performance
measurement
Engage
• Secure
• Brand
consistent
• Social
media
authen3c
• High
responsive
• Na3ve
speaking
• Quality
assured
…
Community
management
Page 6 | © 2012 MINDJUMPERS. All rights reserved.
- 7. ”Technologies
which
facilitate
online
interac8on
between
people”
Page 7 | © 2012 MINDJUMPERS. All rights reserved.
- 8. What
is
big
data?
Every
day,
we
create
2.5
quin3llion
bytes
of
data
—
so
much
that
90%
of
the
data
in
the
world
today
has
been
created
in
the
last
two
years
alone.
This
data
comes
from
everywhere:
sensors
used
to
gather
climate
informa3on,
posts
to
social
media
sites,
digital
pictures
and
videos,
purchase
transac3on
records,
and
cell
phone
GPS
signals
to
name
a
few.
This
data
is
big
data.
Page 8 | © 2012 MINDJUMPERS. All rights reserved.
- 9. Social
Data…
(Business
intelligence)
250
million
daily
posts
on
twi^er,
a
2,000
percent
increase
in
just
two
years
Facebook
have
845
million
ac3ve
users
at
the
end
of
December
2011—and
more
than
425
million
of
them
use
the
site
daily.
Source:
’Ac3onable
Social
Analy3cs’,
white
paper
by
Awareness
Inc.,
April
2012
Page 9 | © 2012 MINDJUMPERS. All rights reserved.
- 10. Defini3on
of
Social
Analy3cs?
Intelligence
Insights
–
Data
mining
Performance
measurement
Metrics
ROI
Repor3ng
Page 10 | © 2012 MINDJUMPERS. All rights reserved.
- 11. ACTIONABLE SOCIAL ANALYTICS:
ACTIONABLE SOCIAL ANALYTICS:
From Social Media Metrics to Business Insights
From Social Media Metrics to Business Insights
APRIL 2012
SOCIAL
1
Page 11 | © 2012 MINDJUMPERS. All rights reserved.
- 12. Analy,cs
experts
have
developed
consensus
around
the
defini,on
of
social
analy,cs.
Jim
Sterne,
the
author
of
Social
Media
Metrics,
defines
social
media
analy,cs
as
“the
study
of
social
media
metrics
that
help
drive
business
strategy.”
Jonas
Klit
Nielsen,
managing
partner
at
Mindjumpers,
one
of
the
premier
social
marke,ng
agencies
in
Europe,
agrees
and
adds
that
social
analy,cs
is
“the
ability
to
analyze
performance
of
social
media
ini8a8ves
and
social
data
for
business
intelligence.”
Connie
Bensen,
senior
manager,
community
strategy
and
execu,on
at
Dell,
provides
a
slightly
different
defini,on:
“Social
analy8cs
consists
of
web
analy8cs,
engagement,
and
revenue
generated
from
social.”
In
her
view,
the
web
analy,cs
and
engagement
metrics
direct
marke,ng
decisions
and
direc,ons,
while
new
customer
acquisi,on
rates,
shorter
customer
acquisi,on
,me
and
higher
lead
conversion
rates
are
among
the
top
sales
effec,veness
metrics.
Source:
Ac,onalbe
Social
Analy,cs,
April
2012,
Awarness
inc.
Page 12 | © 2012 MINDJUMPERS. All rights reserved.
- 13. Page 13 | © 2012 MINDJUMPERS. All rights reserved.
- 14. Social
insight
and
measurement
Strategic
dashboard
to
gain
insights
on
our
brands
and
consumers
and
the
performance
of
our
social
strategy
and
ini3a3ves
Buzz
tracking
Plagorm
API
Campaign
Offline
Web
analy3c
(real
3me)
Data
Mining
performance
ATL
&
BTL
Listen
&
Social
Content
SEO
Sales
analyse
Profiling
Monitor
Trend
mining
Ads
Traffic
Reputa3on
Apps
Benchmark
Loyalty
(Plagorm/device)
Page 14 | © 2012 MINDJUMPERS. All rights reserved.
- 18. Deploy and analyse on Accelerators to reach your KPI´s
Page 18 | © 2012 MINDJUMPERS. All rights reserved.
- 19. Page 19 | © 2012 MINDJUMPERS. All rights reserved.
- 20. Plagorm
API
&
Partnership
Example: Facebook
Page 20 | © 2012 MINDJUMPERS. All rights reserved.
- 21. Social
Profiling
-‐ Interests
-‐ Compe3tors,
Movies,
Series,
Actors,
Sports
-‐ How
omen
do
they
interact
with
us?
-‐ Sen3ment
-‐ Influence
-‐
Friends
of
fans
Page 21 | © 2012 MINDJUMPERS. All rights reserved.
- 24. Page 24 | © 2012 MINDJUMPERS. All rights reserved.
- 25. Page 25 | © 2012 MINDJUMPERS. All rights reserved.
- 26. Repor3ng
levels
Overall performance
Business units on growth and performance
Detailed cross brands on performance
Local Market specific reporting
Insight topic reporting
Page 26 | © 2012 MINDJUMPERS. All rights reserved.
- 27. Just Write on our wall
jum p e rs
om/Mind
bo ok.c
Face
ump ers
@Mindj
om/blog
ers.c
ind jump
M
Page 27 | © 2012 MINDJUMPERS. All rights reserved.