portrait uplift and optimizer deck
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ACTION INSIGHT
Understand, Visualize and Predict Customer Behavior
Customer Case Study Snap Shot
Customer Interaction Hub Illustrated Demo
Market Leading Analyst Recognition
The CRM “Customer-centricity Chasm”
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ACTION INSIGHT
Customer Analytics Maturity Model
• Commence at any stage
• Benefit from a clear roadmap to success
(Underpinned by customer data access, generic BI & reporting tools)
Explore Customers
• Uncover areas of interest and opportunities to act
• Ad hoc, thin-client customer data exploration for the business user
Understand & Predict Behavior
• Predict and define ideal target customer segments
• 3D visual customer data mining & automated modeling
Predict Uplift
• Predict persuadability; eliminate sure things, lost causes, sleeping dogs
• Reduce spend 40% while improving outcome 30-300%
Optimize Contacts
• Analytically match customers with right offer, at right time, via right channel, balanced against business constraints
Real-time Scoring
• Eliminate customer lists, mass-scoring
• Up to the second outbound selection accuracy
Real-time Decisioning
• Inbound contextual RTD
• Adaptive learning
AC
TIO
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INS
IGH
T
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The CRM “Customer-centricity Chasm”
Customer Profile
Transaction
Channel
Lines of Business
Customer Preference
DATA CRM TOUCH POINTS
Infuse customer-specific
insight into touch points
INCREMENTAL CRM
Understand past behavior
Predict future needs
“Hindsight” “Foresight”
What | Why | Next | Change
Right message, right time
Dialogue across touch points
Optimize engagement
“Line of sight”
“Hindsight” “Foresight”
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Optimized Customized Customer Interactions
Your Business
Customer
The Results
• Improved customer experience
• Increased customer satisfaction and advocacy
• Increased customer value, wallet share
• Improved customer retention
• Single source for customer preferences
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ACTION INSIGHT
The CRM “Customer-centricity Chasm”
“What customers expect from us” “What we actually have”
Reality
• Product-centric campaigns
• Operationally focused
• Information & channel silos
• Independent business units
• Customer ad fatigue
• Limited capacity for
engagement
Expectation
• We understand them
• We value their business
• We deliver on our promises
• We remember them
• We strive for relevancy
• We are connected
© 2011 Portrait Software - A Pitney Bowes Business Insight Company
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“Inbound”
Channels “Outbound”
Channels
Web
Kiosk / ATM
IVR
Contact Center
Mobile
INTERACTIVE PROACTIVE
Optimizing Customer Interactions
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The Portrait Suite
Explore.
Understand.
Predict.
Optimize.
Orchestrate.
Recommend.
Fulfill.
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Immediate increase in customer retention
Reduced marketing costs >DK100,000 PA
Incremental revenue of £48M
Revenue per customer 314% higher
Incremental revenue up 327%
Customer retention up >20%
Reduced marketing costs by >10%
“Immediate increase in renewals”
Customer retention up 300%
Churn decreased by 37.5%
20% reduction in churn
36% increase in churn reduction Products held per
customer up by 50%
Increased revenue by $1.2M per month
ROI from a single campaign
Profitability rose 10%
Uplift doubles customer retention
What’s it Worth?
Financial Services Telecommunications
Insurance
Emerging Markets
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INSIGHT DATA STRATEGY COMMUNICATION
Mu
lti-
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tact
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Cro
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Pre
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An
alyt
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& D
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Min
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a In
tegr
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Dat
a Q
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Do
cum
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utp
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Info
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Qu
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The ONLY vendor on all 5 Magic Quadrants
CCCM
PA/DM
DOCCM
IQ
The ONLY vendor on all 4 Waves
PBBI – Customer Communications Management
MCCM
CDM
CCCM DI
DQ
Gartner
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Foundation
Dialogue
Forrester’s View of Inbound & Outbound CM
Interaction Optimizer
Customer Analytics
Interaction
Fulfillment Analytic
Insight
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• Simple Overview
• Case Study: Retention (Telecommunications Example)
• Case Study: Cross-sell (Financial Services Example)
• Case Study: Cross-sell (Retail Example) Case Study: Retention (Telecommunications Example)
Overview
Case Study: Cross-sell (Financial Services Example)
Case Study: Cross-sell (Retail Example)
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ACTION INSIGHT
Portrait Uplift
• Award winning solution – Predict change in
behavior
Predict which customers are Persuadables, while
weeding out Sure Things, Lost Causes and
Sleeping Dogs.
• Spend your marketing funds only where it
will have an impact
Boost impact by 30-300%
Reduce cost by 40%
• Increase analytic bandwidth and throughput
Automate Uplift modeling best practice
Build more accurate uplift models
in a fraction of the time
Benefits
• Eliminate
marketing waste
• Reduce
customer ad-
fatigue, opt-out &
attrition
• Boost return on
marketing
investment
Predict the “persuadables” that will react to your marketing.
Portrait Uplift empowers you to focus your marketing upon only those customers that will positively change behavior as result of your message.
Uplift Segmentation
INSIGHT - PREDICT
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“Uplift analysis is a must-consider concept for every organization with significant campaign management activities”.
Gareth Herschel, Gartner, “Predictive Modeling Now more than Ever”, Gartner Customer 360, March 2011
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Uplift Segmentation for Retention Marketing
Stay Churn
If we do nothing,
customer will:
Churn
Stay
If we target, customer will:
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Uplift Segmentation for Cross-sell Marketing
Buy Not Buy
If we do nothing,
customer will:
Not Buy
Buy
If we target, customer will:
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0%
20%
40%
60%
80%
100%
120%
0% 20% 40% 60% 80% 100%
Proportion targeted
Pro
po
rtio
n o
f in
cre
men
tal
eff
ect
Sure Things:
Buy whether you
treat or not
Lost Causes:
Won’t buy whether
you treat or not
1
2A
2B
3
Persuadables:
Only buy if treated
Sleeping Dogs:
Buy unless you treat
2
No impact Positive
impact
Negative
impact
1 2 3
Incremental Impact for Response
Put this money
back into your
marketing budget
17
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ACTION INSIGHT
Business Challenge: Targeting for customer churn campaigns but lower campaign costs
The Telenor Group is currently ranked as one of the
world’s largest mobile operators (in terms of
subscriptions). Mobile subscriptions rank at 168
million worldwide with telecom operators in 13
countries.
Portrait Customer analytics assisted Telenor in
delivering next generation targeting for customer
retention (churn) campaigns Removing negative effects
thus decreasing both churn and campaign costs
Benefits
• Traditional targeting reduced churn by
5%, but with significant negative effects
• Uplift model reduced these significantly
• Saving 40% of treatment costs
• Further reducing churn to 6.8%
• Fully automated data build from Teradata
• Sun Solaris server
• 3 m customers, > 300 variables
Without Uplift
With Uplift
Treated Volume
100%
Treated volume reduced by 40%
60%
Reduction in Overall Churn
Without Uplift
With Uplift
5% 6.8%
Results improved
36%
19 %
15 %14 %
12 %
14 % 13 %
15 %14 %
10 %11 %
9 %8 %
11 %10 %
9 %
23 %
19 %
17 %
14 %
18 %
16 %
20 %18 %
11 %
13 %
11 %
9 %
13 %12 %
11 %
0 %
5 %
10 %
15 %
20 %
25 %
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Konkurrentchurn Eksternchurn
Introduction of
first prediction
model
Introduction of
refined
prediction model
months
annua
l de
fectio
n ra
te
Customer Case Studies
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Blue indicating high defection rate
Green indicating low defection rate
Mobile subscribers and
defection distributed across
geographic regions in Norway
Interactive Visual Insight
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Dramatic Impact to Customer Retention
19 %
15 %14 %
12 %
14 % 13 %
15 %14 %
10 %11 %
9 %8 %
11 %10 %
9 %
23 %
19 %
17 %
14 %
18 %
16 %
20 %18 %
11 %
13 %
11 %
9 %
13 %12 %
11 %
0 %
5 %
10 %
15 %
20 %
25 %
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Konkurrentchurn Eksternchurn
Introduced churn model
months
an
nu
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efe
ctio
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ate
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ACTION INSIGHT
Annual defection rate - Mobile retention campaign
0 % 10 % 20 % 30 % 40 % 50 % 60 %
Reject - renewal
Control group
Yes - renewal 3.5 %
33.0 %
51.2 %
• Can we predict “save-ability” rather than churn risk?
Typical Telco Retention Campaign Results
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Uplift Business Case: a Double-win
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Dramatic Impact to Customer Retention
19 %
15 %14 %
12 %
14 % 13 %
15 %14 %
10 %11 %
9 %8 %
11 %10 %
9 %
23 %
19 %
17 %
14 %
18 %
16 %
20 %18 %
11 %
13 %
11 %
9 %
13 %12 %
11 %
0 %
5 %
10 %
15 %
20 %
25 %
jan.
07
feb.
07
mar
.07
apr.0
7
mai.0
7
jun.
07
jul.0
7
aug.07
sep.
07
okt.0
7
nov.07
des.07
jan.
08
feb.
08
mar
.08
Konkurrentchurn Eksternchurn
Introduced churn model
months
an
nu
al d
efe
ctio
n r
ate
Introduced Uplift model
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ACTION INSIGHT
Business Challenge: Inability to target the customer with the most relevant message
U.S. Bancorp (NYSE: USB), with $266 billion in assets, is
the parent company of U.S. Bank, the 6th largest
commercial bank in the United States.
US Bank engaged Portrait Software and its team of experts
to produce and trial an Uplift model that had the ability to
generate data models which would lead to the incremental
performance and improved customer experience that US
Bank was striving to achieve.
Benefits Incremental revenue increased 327%
>$500K incremental revenue per campaign
Reduced baseline cost from lower volume
189% increase in incremental response by
avoiding negative effects (downlift)
Campaign ROI increased from 75% to 400%
in 5 years
Increased incremental cross-sell revenue by
more than 300%
0%
100%
200%
300%
400%
500%
600%
700%
800%
900%
1000%
$-
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
$800,000
$900,000
$1,000,000
Ro
I
Net
Inco
me
Decile by uplift score
Customer Case Studies
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ACTION INSIGHT
Business Challenge: Find more cost-effective ways to acquire new DDA customers using direct mail
U.S. Bancorp (NYSE: USB), with $266 billion in assets, is
the parent company of U.S. Bank, the 6th largest
commercial bank in the United States.
US Bank use direct mail to entire postal routes to acquire
new DDA customers, but low response rates and lift versus
control made even their best targeting models unprofitable.
Portrait Uplift delivered more effective targeting models using
existing data, and achieved campaign profitability by
enhancing with new location-based attributes such as local
product penetration rates and nearest branch drive time.
Benefits Turned around campaign from loss to profit
91% increase in incremental revenue
Generate additional $300K per campaign
Can either reduce volume with same net adds,
or achieve more net new DDAs with same volume
Incre
menta
l R
evenue (
$’0
00s)
Pre
vio
us
ch
am
pio
n
Lo
ca
tio
n-e
nh
an
ce
d
Up
lift
Mo
de
l
Po
rtra
it U
pli
ft
Mo
de
l
Break-even
+41%
+91%
: Location Enhanced
Highlights: Location-data Integration
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ACTION INSIGHT
Business Challenge: Improve incremental revenue from monthly consumer catalog mailings
Fortune 50 company with $60B+ annual revenues
that sells about 140K PCs / day. It has nearly 2B
customer interactions per year, including about 15M
direct mail catalogs per month.
Portrait was challenged to develop an Uplift model to
increase the incremental revenue delivered by monthly
catalog mailings compared to existing response and
value based targeting.
Benefits Increased revenue by $1.2M/month at existing mailing
volumes, or $2.5M/month with more focused targeting
Validated in blind trial and now in market, with software
and services hosted by this company’s MSP
Demonstrated applicability to individualized email
versioning, with $250K additional revenue in a small test
Uplift model delivers
$2.5M more revenue
($500K more profit)
Customer Case Study: Uplift in Retail
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Example reduced monthly mailing volume
Uplift model delivers incremental lift by 88% over existing model
Example Reduced Targeting ~30% of mailable universe
In-house Model
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August Mailing Results
August Uplift Results
0%
50%
100%
150%
200%
250%
300%
1 2 3 4 5Quintile
Incr
emen
tal
Re
ven
ue
In
dex
The actual mailing for the Development audience produced $612K incremental
revenue at full volumes, but would have done over $1.3M at the recommended
40%, and over $3.1M over no mail
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ACTION INSIGHT
Portrait Optimizer
Benefits
• Optimize
marketing ROI
• Eliminate
marketing waste
• Boost relevancy
• Reduce
customer ad-
fatigue &
opt-out
Allocate your marketing for maximum impact & mutual benefit.
• Analytically weighs your business’ constraints vs. expected benefit
to determine the right mix of offers & channels for individual
customers
• Improves customer-centricity while enforcing
constraints, and improving financial outcome
Constraints include eligibility, quantity & value
Considers preferences, propensity & persuadability
• Flexible framework
Optimize offers, message, channel, product, incentive,
time frame and more
• Dual interface
Foster alignment across marketers and analyst teams
Portrait Optimizer is a contact optimization solution that can optimally allocate your marketing spend where it will have the greatest impact, across campaigns and customers, for utmost ROI.
INSIGHT - OPTIMIZE
Achieve Contact Optimization Best Practice
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How does Offer Optimization Work?
For Each Offer
For Each Customer
THIS GOES IN
• The right
offers…
• Allocated to the
right
customers…
• To maximize
overall impact.
… while satisfying
all the constraints.
THIS COMES
OUT
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ACTION INSIGHT
Highlights: Contact Optimization
• Maximize return from direct marketing with business constraints
Eligibility, quantity and financial constraints
Includes customer preferences, propensities and “persuadability”
Increases customer-centricity
• Broad optimization framework
Optimizes offers, message, channel, product,
incentive, time-frame
• Seamless integration with campaign planning
Marketer view (Portrait Dialogue)
Analyst view (Portrait Customer Analytics)
Portrait and Microsoft Dynamics CRM
Infusing Customer-centric Insight
into Microsoft Dynamics CRM
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Dynamics CRM – Interaction History
3
3
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Outbound Messages
Received by
individual contacts
sent via Portrait Dialogue
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Real-time next-best-offer
recommendations are made as
determined by rules & models
built in Interaction
Optimizer
The history of the Real-
time next-best-offer
recommendations made to
the Contact are listed for
the Rep’s reference
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Once presented to the Contact,
the Rep can assign a disposition
of Accept, Decline, or NoAction. The
Rep can also view the details of the
Campaign as set-up in CRM
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Infuse Customer-centricity into Dynamics CRM
Made intelligent
Using your own data
The applications
you use today
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Dynamics CRM and PCM - Architecture
Overview
Portrait
Dialogue
CRM DB (Accounts, Contacts, Prospects)
Core CRM
Create
Task
Create
Event
CORE CRM
Real-time
Campaign
History
SharePoint Report Center Branch
Branch
Branch
G
D
C B
A
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