Site Core Analytics

•

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Datalicious

The presentation illustrates the impact of data driven marketing.

Tecnologia

>
SiteCore
Analy/cs
<

The
power
of
raw
visitor
data

>
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

>
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

>
Clients
across
all
industries

October
2011
©
Datalicious
Pty
Ltd
4

SiteCore
data
stored
in
readily
accessible
MS
SQL

Events
Pages
Visits
Visitors
Proﬁles

Event
IDs
>
Page
IDs
>
Visit
IDs
>
Visitor
IDs
<
Proﬁle
IDs

Most
BI
plaMorms
can
connect
to
MS
SQL
databases

Simply
connect
to
you
SiteCore
MS
SQL
database

Connect
the
various
tables
and
start
data
mining

Data
extracts:
Query
speed
vs.
data
sampling

Main
reasons:
Data
volume,
interface
familiarity,
microsites

Raw
data
cannot
replace
Google,
Omniture,
etc

October
2011
©
Datalicious
Pty
Ltd
11

Easily
create
Tableau
reports
using
drag
and
drop

Easily
create
custom
segments
and
data
ﬁlters

Adding
addi/onal
data
sources
into
the
mix
is
easy

October
2011
©
Datalicious
Pty
Ltd
18

Analyse
data
for
high
value
clients
with
churn
risk

October
2011
©
Datalicious
Pty
Ltd
19

Reac/va/on
campaign
for
high
churn
risk
clients

October
2011
©
Datalicious
Pty
Ltd
20

Publish
interac/ve
Tableau
dashboards
online

Most
common
content
interests
vs.
value
inﬂuence

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

Automated
the
running
of
successful
models

Contact
me

cbartens@datalicious.com

Learn
more

blog.datalicious.com

Follow
me

twi=er.com/datalicious

October
2011
©
Datalicious
Pty
Ltd
25

Data
>
Insights
>
Ac/on

October
2011
©
Datalicious
Pty
Ltd
26

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Site Core Analytics

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

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 11

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

15.

16. Easily create custom segments and data ﬁlters

17. Easily create custom segments and data ﬁlters

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 25

Site Core Analytics

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