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John Taylor
Principal, Experian Global Consultancy Practice, N.A.
April 2014
U.S. Mortgage Crisis
Lessons for Mortgage Pre-Delinquency
“Conventional  wisdom”
The conventional view
serves to protect us
from the painful job of
thinking.
“
”– John Kenneth Galbraith
2
3©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Historic Warning Signs
U.S. Mortgage Crisis
U.S. Real GDP Growth
Historic Warning Signs: Default Indicators Through The Crisis
The United States financial system and mortgage crisis resulted in a severe recession which resulted in severe
negative GDP growth eroding almost 9 million jobs and persistent high unemployment that peaked above 10%. Two phases
– Slowdown Volatility and the Panic Phase were “pre-cursors”  to unfolding events. The crisis was caused by a number of
factors including an unsustainable housing boom evidenced by accelerating home prices – a leading indicator to peaks in
mortgage loan delinquency and real household net worth
U.S. Unemployment Rate
Source: Bureau of Labor Statistics
U.S. Delinquency Rate – Single-Family MortgageU.S. Real Home Prices
4
 The  market  boom  in  housing  had  signs  of  weak  underpinnings…
► Collective actions of banks, consumers, and government resulted in more
risk than was quantified
● Unsustainable home price appreciation
● Borrower debt to income overload
● Mortgage  “Cash-out”  for  living  expenses  ended
● Customer segmentation overlooked
 Risk models that factor in micro-geographic (zip + 2)
current-loan-to-value localized effects of increasing
distress sales
 Borrower characteristics segmentation needed
 Geographic effects of home price devaluation analytics needed
Historic Warning Signs: Mortgage Crisis Impact on Risk Management
5
6©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Government & Industry Response
U.S. Mortgage Crisis
7©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Government & Industry Response: Various HARP Borrower Assistance
Home Affordable Foreclosure
Home Affordable
2nd Lean
Home Affordable
Unemployment
Program
(HAMP) Home
Affordable Modification
Program
Borrowers not able to
afford monthly mortgage
payments due to a
financial hardship
Unemployed borrower
assistance program
Assistance for borrowers
already having permanent
refinancing under HARP
Borrower alternatives to
settle debt – possible
relocation assistance
8
2.7  million  families  benefit  from  HARP…
8©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Government & Industry Response: HARP Mortgage Modification Results
Redefault rates for borrowers receiving a HAMP modification average 26% through April 30, 2013. These rates are
somewhat consistent by geography at a total level, however in micro-geography analysis there is evidence of widely varying
default rates based on home devaluation contagion effects. Redefaulting HARP borrowers exhibit three attributes important
to pre-collections segmentation and prudent lending – High Debt-to-Income, Increasing Loan-to-Value and High Risk
Borrower Credit Worthiness are unique to redefaulting borrowers. Customer segmentation is critical!
Cum Redefaulted HAMP Permanent Mods – 4/30/13
26% total redefault rate
Regional Redefaulted HAMP Permanent Mods – 4/30/13
Source: “Rising  Redefault of HAMP Mortgage Modification Hurt  Homeowners,    Communities  and  Taxpayers”,  SIGTARP,    July  24,  2013   9
9©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications
U.S. Mortgage Crisis
 Bottom up default models
 Micro-geographic analysis of home price depreciation
 Segment and monitor current-loan-to-value (CLTV) and migration of CLTV
 Segment borrower ability-to-pay and debt-to-income
 Build  “pro-active”  pre-delinquency strategies
 Connect across the bank
Connect  the  dots…  Segment  customers  using  
Custom Risk Models, CLTV, Debt-To-Income,
micro-geography analysis and external data such
as  Experian’s  MosaicTM life-stage segments to
improve performance and efficiency of pre-
delinquency efforts.
Historic Warning Signs: Pre-Delinquency Strategy Segmentation
11
 Custom loan-level probability of default (PD) estimate models are a
key ingredient to a proactive pre-delinquency strategies
► Greater accuracy in prediction with more granular data
► Credit Bureau Attributes for individual borrower credit behavior
► Aggregated Credit Statistics (ACS) to account for micro-
geographic drivers of default behavior representing contagion
effects
● Local home market data (sold/list price ratio, distressed-sale
prices etcetera)
● Local area credit variables (# foreclosures, pending distress
sales recent delinquent etcetera)
● Local neighborhood indicators of stability
such as change in wealth indicators
► Combined-current-loan-to-value (CCLTV) is a
measure of all observed current mortgage
secured balances for all properties owned by
a consumer
Mortgage Pre-Delinquency Implications: Alternative PD Models
12
12©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Loan Level Default Models
Custom Probability of Default (PD) models account for unique risk factors. Experian has
demonstrated the use of micro-level aggregated geographic variables and borrower credit
attributes and CCLTV result in highly predictive models which can be used in segmentation of
Pre-Delinquency Customer Treatment
Base Model –
Includes CCLTV
Base + Premier Credit
AttributesSM
Base + Premiers Credit
Attributes + *ACS
Receiver Operator Characteristics Curves (ROC)
Source: “Home  equity  indicators  with  new  credit  data  methods  for  improved  mortgage  risk  analytics”,  Straka,  J.,  Robida  C.  
and Sklarz, M., Experian Decision Analytics White Paper, 2012 p. 5.
*ACS data used within PD model limits adverse
action in the U.S. but not segmentation purposes
13
As much as 23% lift
in  rank  ordering  “bad”  
loans (90+DPD)
13©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Strategic Approaches
Custom PD model and Combined-Current-Loan-to-Value can be used to monitor key risk
segments. Implementing specific treatment strategies to assist borrowers with alternative
refinance  options  and  to  determine  if  outreach  designation  is  “proactive”  or  “reactive”  will  
minimize operating expense and enhance customer satisfaction
Low
High
High Experian Debt-to-Income InsightsTM Low
65%+ <20%
Borrower
Probability of
Default (PD)
“Watch  Segment”
Subprime Risk Score <620
High DTI >50%
Lower Income generally
“High  Value  Segment”
Prime Risk Score >700
Lower DTI <20%
High Income or Low Debt
14
“Middle  Risk”
Near Prime/Pime Score 660+
Medium DTI 20% to 30%
Middle to upper income
14©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Strategic Approaches
Absent robust information from customer multi-product ownership, using Mosaic
FinergyTM segments provides a window to identifying distressed borrower segments.
Experian custom default models can be developed using marketing segments can result in a
strong tool to use to identify pre-collection segmentation treatment groups
15
15©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Strategic Approaches
Portfolio customer segmentation strategies assists in determining which customer
segments warrant proactive pre-collections and which customers should receive reactive
pre-collections based on likelihood the consumer will need bank assistance.
DTI InsightsTM
Should we contact this
mortgage customer for
pre-collections?
Segment
“High  Value”
Mortgage Loan Portfolio
Treatment
Strategy
High Home Price Devaluation or
wealth decrease geography
Source: “Home  equity  indicators  with  new  credit  data  methods  for  improved  mortgage  risk  
analytics”,  Straka,  J.,  Robida  C.  and  Sklarz,  M.,    Experian  Decision  Analytics  White  Paper,  2012  p.   16
16©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Home Equity Triage Scenario
Experian’s  PowerCurveTM Customer Management platform is used to design
and execute account and customer lifecycle strategies including pre-collections
treatment strategies for all consumer banking productsDTI
17
CollectionsFlow
Up to 10 different scorecards
Collection Action Parameters
Block codes and charge-off
reason code settings
Assignment and routing of
Segment Triage Strategies
Places delinquent accounts in
action paths enabling
collection strategy sequencing
Sets unique account payment
plan and settlement options
Enables outsourcing and
debt sale decision actions
PowercurveTM customizable
pre-collections module
administers segmented
treatment strategies
17©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Home Equity Triage Scenario
Experian’s  PowerCurveTM Customer Management pre-collections strategy
module is user defined and managed to allow bank risk management staff
flexibility to deploy new strategies quickly and easilyDTI
18
PowercurveTM enables easy
deployment unique
treatment strategies such as
for very low and high risk
segments
18©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: Home Equity Triage Scenario
Account
view
Account
action
Credit card
Opened six years ago
Balance
$900
Limit:
$5,000
Good
Home Equity Loan
Opened four years ago
Balance
$10,000
Limit: $75,000
Current
“High  Value Segment”
Good
Checking account
Opened eight years ago
Balance
$10,800
Direct Deposit Active
Online Banking
$100k Savings
OD Protection Active
Good
Offer new
limit – $1,500
No
action
Debt
recovery
Optimal
Treatment
- No Active
Marketing
- No Limit
Change
NO Proactive
Pre-Collection
Intervention
and  “Watch”  
utilization for
signs of
distress with
no immediate
line decrease
Overall
customer
view:
GOOD
Secured  home  equity  loan  customer  in  “High  Value  Segment”.    Resides in
geography with high home price depreciation, exhibits no borrower distress signs
and has high liquid net worth. No pre-delinquent contact or HEL decreaseDTI
19
19©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: 1st Mortgage Triage Scenario
Account
view
Account
action
1st Mortgage Loan
Opened two years ago –
no other banking products
Balance
$120,000
110% CCLTV
Current
“Middle  Risk” Good?
Kids and Careers
MOSAIC Segment
F20 – New Homemakers
Age: 30-40
Young Children
Lower Risk
Rising Wealth
Not a risky
segment but
borrower
specific
conditions
Good?
Offer new
limit – $1,500
No
action
Debt
recovery
Optimal
Treatment
May be
homeowner that
took on too
much and could
benefit from
refinance to
lower payments
Outreach with
mail proactive
pre-collection
effort
Overall
customer
view:
??????
1st mortgage  customer  in  “Middle  Risk”  segment.    Customer is in geography
with high home price depreciation and has a higher CCLTV and custom risk score
which may signal trouble. Initiate immediate pre-delinquency mail outreach
20
20©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Mortgage Pre-Delinquency Implications: 1st Mortgage Triage Scenario
Account
view
Account
action
Credit card
Opened three years
ago
Balance
$1,200
Limit: $1,200
Paying minimum only
P+22% APR
Good?
1st Mortgage Loan
Opened two years
ago
Balance
$125,000
90% CCLTV
Current
“Watch Segment”
Good?
Checking account
Opened three years
ago
Balance
– $70
Two NSF and Direct
Deposit ceased for
three pay periods
Bad
Offer new
limit – $1,500
No
action
Debt
recovery
Optimal
Treatment
Review for
Limit Decrease,
No Marketing
Initiate proactive
pre-collection
outbound call
with letter to
determine if
unemployed
and possibly
modify debt
obligation
Overall
customer
view:
BAD
1st mortgage  customer  in  “Watch  Segment”.    Customer is in geography with
high home price depreciation and exhibiting signs of distress in both segmented
and actual customer behavior. Initiate immediate pre-delinquency outreachDTI
21
21©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.
Historic Warning Signs: Summary of Pre-Delinquency Strategy
 Leverage customer segments...
by focusing on borrower credit attributes
and micro-geographic aggregates and
Mosaic customer life-stage profiles
 Develop custom scores...
By including various borrower specific
data such as (CCLTV), (ACS) and
borrower attributes to increase
predictive power up to 20% or more
 Develop customer watch segments...
by  using  PD  scores,  “back-end”  DTI  and  
micro-geographic characteristics
 Work effectively across your bank...
by aligning proactive/reactive pre-
collection strategies to treatments that
lower operating expense by 5%+,
improve collection efficiency and results
by 5-10% while improving customer
satisfaction
22
©2012 Experian Information Solutions, Inc. All rights reserved.
Experian Public.

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Using "big data" in the Netherlands for troubled borrowers

  • 1. John Taylor Principal, Experian Global Consultancy Practice, N.A. April 2014 U.S. Mortgage Crisis Lessons for Mortgage Pre-Delinquency
  • 2. “Conventional  wisdom” The conventional view serves to protect us from the painful job of thinking. “ ”– John Kenneth Galbraith 2
  • 3. 3©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Historic Warning Signs U.S. Mortgage Crisis
  • 4. U.S. Real GDP Growth Historic Warning Signs: Default Indicators Through The Crisis The United States financial system and mortgage crisis resulted in a severe recession which resulted in severe negative GDP growth eroding almost 9 million jobs and persistent high unemployment that peaked above 10%. Two phases – Slowdown Volatility and the Panic Phase were “pre-cursors”  to unfolding events. The crisis was caused by a number of factors including an unsustainable housing boom evidenced by accelerating home prices – a leading indicator to peaks in mortgage loan delinquency and real household net worth U.S. Unemployment Rate Source: Bureau of Labor Statistics U.S. Delinquency Rate – Single-Family MortgageU.S. Real Home Prices 4
  • 5.  The  market  boom  in  housing  had  signs  of  weak  underpinnings… ► Collective actions of banks, consumers, and government resulted in more risk than was quantified ● Unsustainable home price appreciation ● Borrower debt to income overload ● Mortgage  “Cash-out”  for  living  expenses  ended ● Customer segmentation overlooked  Risk models that factor in micro-geographic (zip + 2) current-loan-to-value localized effects of increasing distress sales  Borrower characteristics segmentation needed  Geographic effects of home price devaluation analytics needed Historic Warning Signs: Mortgage Crisis Impact on Risk Management 5
  • 6. 6©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Government & Industry Response U.S. Mortgage Crisis
  • 7. 7©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Government & Industry Response: Various HARP Borrower Assistance Home Affordable Foreclosure Home Affordable 2nd Lean Home Affordable Unemployment Program (HAMP) Home Affordable Modification Program Borrowers not able to afford monthly mortgage payments due to a financial hardship Unemployed borrower assistance program Assistance for borrowers already having permanent refinancing under HARP Borrower alternatives to settle debt – possible relocation assistance 8 2.7  million  families  benefit  from  HARP…
  • 8. 8©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Government & Industry Response: HARP Mortgage Modification Results Redefault rates for borrowers receiving a HAMP modification average 26% through April 30, 2013. These rates are somewhat consistent by geography at a total level, however in micro-geography analysis there is evidence of widely varying default rates based on home devaluation contagion effects. Redefaulting HARP borrowers exhibit three attributes important to pre-collections segmentation and prudent lending – High Debt-to-Income, Increasing Loan-to-Value and High Risk Borrower Credit Worthiness are unique to redefaulting borrowers. Customer segmentation is critical! Cum Redefaulted HAMP Permanent Mods – 4/30/13 26% total redefault rate Regional Redefaulted HAMP Permanent Mods – 4/30/13 Source: “Rising  Redefault of HAMP Mortgage Modification Hurt  Homeowners,    Communities  and  Taxpayers”,  SIGTARP,    July  24,  2013   9
  • 9. 9©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications U.S. Mortgage Crisis
  • 10.  Bottom up default models  Micro-geographic analysis of home price depreciation  Segment and monitor current-loan-to-value (CLTV) and migration of CLTV  Segment borrower ability-to-pay and debt-to-income  Build  “pro-active”  pre-delinquency strategies  Connect across the bank Connect  the  dots…  Segment  customers  using   Custom Risk Models, CLTV, Debt-To-Income, micro-geography analysis and external data such as  Experian’s  MosaicTM life-stage segments to improve performance and efficiency of pre- delinquency efforts. Historic Warning Signs: Pre-Delinquency Strategy Segmentation 11
  • 11.  Custom loan-level probability of default (PD) estimate models are a key ingredient to a proactive pre-delinquency strategies ► Greater accuracy in prediction with more granular data ► Credit Bureau Attributes for individual borrower credit behavior ► Aggregated Credit Statistics (ACS) to account for micro- geographic drivers of default behavior representing contagion effects ● Local home market data (sold/list price ratio, distressed-sale prices etcetera) ● Local area credit variables (# foreclosures, pending distress sales recent delinquent etcetera) ● Local neighborhood indicators of stability such as change in wealth indicators ► Combined-current-loan-to-value (CCLTV) is a measure of all observed current mortgage secured balances for all properties owned by a consumer Mortgage Pre-Delinquency Implications: Alternative PD Models 12
  • 12. 12©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Loan Level Default Models Custom Probability of Default (PD) models account for unique risk factors. Experian has demonstrated the use of micro-level aggregated geographic variables and borrower credit attributes and CCLTV result in highly predictive models which can be used in segmentation of Pre-Delinquency Customer Treatment Base Model – Includes CCLTV Base + Premier Credit AttributesSM Base + Premiers Credit Attributes + *ACS Receiver Operator Characteristics Curves (ROC) Source: “Home  equity  indicators  with  new  credit  data  methods  for  improved  mortgage  risk  analytics”,  Straka,  J.,  Robida  C.   and Sklarz, M., Experian Decision Analytics White Paper, 2012 p. 5. *ACS data used within PD model limits adverse action in the U.S. but not segmentation purposes 13 As much as 23% lift in  rank  ordering  “bad”   loans (90+DPD)
  • 13. 13©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Strategic Approaches Custom PD model and Combined-Current-Loan-to-Value can be used to monitor key risk segments. Implementing specific treatment strategies to assist borrowers with alternative refinance  options  and  to  determine  if  outreach  designation  is  “proactive”  or  “reactive”  will   minimize operating expense and enhance customer satisfaction Low High High Experian Debt-to-Income InsightsTM Low 65%+ <20% Borrower Probability of Default (PD) “Watch  Segment” Subprime Risk Score <620 High DTI >50% Lower Income generally “High  Value  Segment” Prime Risk Score >700 Lower DTI <20% High Income or Low Debt 14 “Middle  Risk” Near Prime/Pime Score 660+ Medium DTI 20% to 30% Middle to upper income
  • 14. 14©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Strategic Approaches Absent robust information from customer multi-product ownership, using Mosaic FinergyTM segments provides a window to identifying distressed borrower segments. Experian custom default models can be developed using marketing segments can result in a strong tool to use to identify pre-collection segmentation treatment groups 15
  • 15. 15©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Strategic Approaches Portfolio customer segmentation strategies assists in determining which customer segments warrant proactive pre-collections and which customers should receive reactive pre-collections based on likelihood the consumer will need bank assistance. DTI InsightsTM Should we contact this mortgage customer for pre-collections? Segment “High  Value” Mortgage Loan Portfolio Treatment Strategy High Home Price Devaluation or wealth decrease geography Source: “Home  equity  indicators  with  new  credit  data  methods  for  improved  mortgage  risk   analytics”,  Straka,  J.,  Robida  C.  and  Sklarz,  M.,    Experian  Decision  Analytics  White  Paper,  2012  p.   16
  • 16. 16©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Home Equity Triage Scenario Experian’s  PowerCurveTM Customer Management platform is used to design and execute account and customer lifecycle strategies including pre-collections treatment strategies for all consumer banking productsDTI 17 CollectionsFlow Up to 10 different scorecards Collection Action Parameters Block codes and charge-off reason code settings Assignment and routing of Segment Triage Strategies Places delinquent accounts in action paths enabling collection strategy sequencing Sets unique account payment plan and settlement options Enables outsourcing and debt sale decision actions PowercurveTM customizable pre-collections module administers segmented treatment strategies
  • 17. 17©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Home Equity Triage Scenario Experian’s  PowerCurveTM Customer Management pre-collections strategy module is user defined and managed to allow bank risk management staff flexibility to deploy new strategies quickly and easilyDTI 18 PowercurveTM enables easy deployment unique treatment strategies such as for very low and high risk segments
  • 18. 18©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: Home Equity Triage Scenario Account view Account action Credit card Opened six years ago Balance $900 Limit: $5,000 Good Home Equity Loan Opened four years ago Balance $10,000 Limit: $75,000 Current “High  Value Segment” Good Checking account Opened eight years ago Balance $10,800 Direct Deposit Active Online Banking $100k Savings OD Protection Active Good Offer new limit – $1,500 No action Debt recovery Optimal Treatment - No Active Marketing - No Limit Change NO Proactive Pre-Collection Intervention and  “Watch”   utilization for signs of distress with no immediate line decrease Overall customer view: GOOD Secured  home  equity  loan  customer  in  “High  Value  Segment”.    Resides in geography with high home price depreciation, exhibits no borrower distress signs and has high liquid net worth. No pre-delinquent contact or HEL decreaseDTI 19
  • 19. 19©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: 1st Mortgage Triage Scenario Account view Account action 1st Mortgage Loan Opened two years ago – no other banking products Balance $120,000 110% CCLTV Current “Middle  Risk” Good? Kids and Careers MOSAIC Segment F20 – New Homemakers Age: 30-40 Young Children Lower Risk Rising Wealth Not a risky segment but borrower specific conditions Good? Offer new limit – $1,500 No action Debt recovery Optimal Treatment May be homeowner that took on too much and could benefit from refinance to lower payments Outreach with mail proactive pre-collection effort Overall customer view: ?????? 1st mortgage  customer  in  “Middle  Risk”  segment.    Customer is in geography with high home price depreciation and has a higher CCLTV and custom risk score which may signal trouble. Initiate immediate pre-delinquency mail outreach 20
  • 20. 20©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Mortgage Pre-Delinquency Implications: 1st Mortgage Triage Scenario Account view Account action Credit card Opened three years ago Balance $1,200 Limit: $1,200 Paying minimum only P+22% APR Good? 1st Mortgage Loan Opened two years ago Balance $125,000 90% CCLTV Current “Watch Segment” Good? Checking account Opened three years ago Balance – $70 Two NSF and Direct Deposit ceased for three pay periods Bad Offer new limit – $1,500 No action Debt recovery Optimal Treatment Review for Limit Decrease, No Marketing Initiate proactive pre-collection outbound call with letter to determine if unemployed and possibly modify debt obligation Overall customer view: BAD 1st mortgage  customer  in  “Watch  Segment”.    Customer is in geography with high home price depreciation and exhibiting signs of distress in both segmented and actual customer behavior. Initiate immediate pre-delinquency outreachDTI 21
  • 21. 21©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public. Historic Warning Signs: Summary of Pre-Delinquency Strategy  Leverage customer segments... by focusing on borrower credit attributes and micro-geographic aggregates and Mosaic customer life-stage profiles  Develop custom scores... By including various borrower specific data such as (CCLTV), (ACS) and borrower attributes to increase predictive power up to 20% or more  Develop customer watch segments... by  using  PD  scores,  “back-end”  DTI  and   micro-geographic characteristics  Work effectively across your bank... by aligning proactive/reactive pre- collection strategies to treatments that lower operating expense by 5%+, improve collection efficiency and results by 5-10% while improving customer satisfaction 22
  • 22. ©2012 Experian Information Solutions, Inc. All rights reserved. Experian Public.