2. #LLCseries
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10. 1.
Accuracy
2.
Completeness
3.
Consistency
4.
etc.
Data
Quality
Components
11. Things
That
Ma>er:
Data
Quality
• ProspecQng:
audience
profiles
• Lead
acquisiQon:
offer
targeQng,
form
auto-‐fill
• Lead
nurture:
offer
targeQng,
lead
scoring,
deliverability,
progressive
profiling
• Sales:
lead
rouQng,
lead
acceptance,
sales
producQvity
• Post-‐Sales:
success
management,
offer
selecQon
12. Things
We
Can
Change:
Data
Quality
• Accuracy:
dedupe,
reference
data,
real
Qme
validaQon,
periodic
refresh
• Completeness:
progressive
profiling,
external
enrichment
• Consistency:
standardizaQon
• Etc.:
reporQng,
stewardship,
dashboards
14. Data
Quality
Impact
on
Revenue
*
“The
Impact
of
Bad
Data
on
Demand
CreaQon”
Sirius
Decisions,
2012
Following
data
quality
best
pracQces
generates
a
66%
increase
in
revenue
*
• Poor
targeQng
• Bad
lead
rouQng
• Compensate
w/
volume
Improve
data
on
entry
25%*
• Poor
quality
handed
to
sales
• Different
data
between
MAP
and
CRM
Accurate
leads
provided
to
sales
12.5%*
5%*
• Sales
has
to
fill
in
gaps
w/
their
own
research
• Valuable
sales
Qme
is
eaten
up
and
sales
doesn’t
get
to
all
leads
Sales
has
rich
info
to
engage
and
qualify
• Poor
alignment
of
contact
and
acQvity
between
MAP
and
CRM
• Sales
and
markeQng
not
on
same
page
with
late
stage
contact
of
account
Single
version
of
the
truth
–
sales
&
mktg
Poor
Data
Hygiene
Best
PracQces
15. ROI
CalculaQon
Before
AQer
Change
Leads
100,000
100,000
Close
Rate
5%
6.3%
+25%
Margin/Sale
$1,000
$1,000
=
Margin
$5,000,000
$6,250,000
$1,250,000
Waste
/
Lead
$1.00
$0.00
=
Waste
$(100,000)
0
$100,000
Quality
Cost/Lead
0
$10.00
=
Quality
Cost
0
$(1,000,000)
$(1,000,000)
=
Net
Margin
$4,900,000
$5,250,000
$350,000
ROI
35%
17. ABOUT:
ü Fuels
data-‐driven
markeQng
ü Combines
data
unificaQon,
conQnuous
data
quality
management,
data
enrichment,
and
data
analyQcs
ü Unified,
cleansed
customer
lifecycle
data
provides
360
degree
view
ü Enables
rich,
complex
segmentaQon
ü Solves
tough
markeQng
a>ribuQon
problems
ü Feeds
strategic
markeQng
iniQaQves,
including
personalizaQon
and
predicQve
1. SmartForms™
2. cDQM
(Con2nuous
Data
Quality
Manager)
18. Short
Form
for
higher
conversions
Data
Required
for
nurture,
score,
route,
target,
segment
Marketo
Case
Study:
reachforce.com/soluQons/case-‐studies/landing-‐page-‐opQmizaQon/
19. (Continuous Data Quality Manager)
Cloud-‐Based
ConQnuous
Data
Quality
Management
&
Data
Enrichment
ü Data
StandardizaQon
ü Data
NormalizaQon
ü Contact
de-‐duplicaQon
ü Data
Append
(compleQon)
ü Email
validaQon
ü Phone
number
validaQon
ü Address
cerQficaQon
ü 360
customer
view
ü Complex
segmentaQon
ü Campaign
a>ribuQon
21. #LLCseries
Q&A // Panelists!
MODERATOR:
David
Raab,
Principal,
Raab
Associates
Andrew
Gaffney,
Editor,
Demand
Gen
Report
22. #LLCseries
Lead LifeCycle Series Prize Box!
Register,
a>end
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tweet
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Prize
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giveaway!
The
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sessions
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a>end
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the
higher
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winning
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of
these
awesome
prizes!
See
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full
contest
details
and
rules
at:
h>p://www3.demandgenreport.com/lls14/contest-‐rules.html
23. #LLCseries
Thanks for attending this session!!
Make
sure
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