Datalicious was founded in 2007 and has become a 360 data agency specialized in turning raw visitor data into actionable insights. They have a combination of analysts and developers with expertise in Omniture analytics. Datalicious works with clients across industries to execute smart, data-driven marketing campaigns through media attribution modeling, targeted direct marketing, testing and optimization to boost ROI.

1. >
SiteCore
Analy/cs
<
The
power
of
raw
visitor
data

2. >
Short
but
sharp
history
§ Datalicious
was
founded
in
late
2007
§ Strong
Omniture
web
analy>cs
history
§ 1
of
4
preferred
Omniture
partners
globally
§ Now
360
data
agency
with
specialist
team
§ Combina>on
of
analysts
and
developers
§ Carefully
selected
best
of
breed
partners
§ Driving
industry
best
prac>ce
(ADMA)
§ Turning
data
into
ac>onable
insights
§ Execu>ng
smart
data
driven
campaigns
October
2011
©
Datalicious
Pty
Ltd
2

3. >
Smart
data
driven
marke/ng
“Using
data
to
widen
the
funnel”
Media
A=ribu/on
&
Modeling
Op/mise
channel
mix,
predict
sales
Targeted
Direct
Marke/ng
Increase
relevance,
reduce
churn
Tes/ng
&
Op/misa/on
Remove
barriers,
drive
sales
Boos/ng
ROI
October
2011
©
Datalicious
Pty
Ltd
3

4. >
Clients
across
all
industries
October
2011
©
Datalicious
Pty
Ltd
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5. SiteCore
data
stored
in
readily
accessible
MS
SQL

6. Events
Pages
Visits
Visitors
Profiles
Event
IDs
>
Page
IDs
>
Visit
IDs
>
Visitor
IDs
<
Profile
IDs

7. Most
BI
plaMorms
can
connect
to
MS
SQL
databases

8. Simply
connect
to
you
SiteCore
MS
SQL
database

9. Connect
the
various
tables
and
start
data
mining

10. Data
extracts:
Query
speed
vs.
data
sampling

11. Main
reasons:
Data
volume,
interface
familiarity,
microsites
Raw
data
cannot
replace
Google,
Omniture,
etc
October
2011
©
Datalicious
Pty
Ltd
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12. Easily
create
Tableau
reports
using
drag
and
drop

13. Easily
create
Tableau
reports
using
drag
and
drop

14. Easily
create
Tableau
reports
using
drag
and
drop

16. Easily
create
custom
segments
and
data
filters

17. Easily
create
custom
segments
and
data
filters

18. Adding
addi/onal
data
sources
into
the
mix
is
easy
October
2011
©
Datalicious
Pty
Ltd
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19. Analyse
data
for
high
value
clients
with
churn
risk
October
2011
©
Datalicious
Pty
Ltd
19

20. Reac/va/on
campaign
for
high
churn
risk
clients
October
2011
©
Datalicious
Pty
Ltd
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21. Publish
interac/ve
Tableau
dashboards
online

22. Most
common
content
interests
vs.
value
influence

23. Content
categories
with
most
traffic
do
not
necessarily
have
the
most
influence
on
the
generated
value
for
each
visitor!
Regression
modelling
to
show
influence
on
value

24. Automated
the
running
of
successful
models

25. Contact
me
cbartens@datalicious.com
Learn
more
blog.datalicious.com
Follow
me
twi=er.com/datalicious
October
2011
©
Datalicious
Pty
Ltd
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26. Data
>
Insights
>
Ac/on
October
2011
©
Datalicious
Pty
Ltd
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