Clear Network Recovery | Implementing effective debt collection strategies (2024)

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Title: Clear Network Recovery | Implementing effective debt collection strategies

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Implementing effective debt collection strategies
Clear Network Recovery
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2016 South African debt statistics

• 23.8 million South Africans are credit active
  consumers
• Outstanding consumer credit balances increased by
  2.3 since last year and now stands at R1.66
  trillion
• Impaired accounts increased slightly since last
  year to 20.2 million currently
• 53 of consumers who take out debt are between
  the ages of 31-45
• 75 of consumers owe about 75 of their salaries
  to creditors

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South African debt statistics
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South African debt statistics
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South African debt statistics
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South African debt statistics
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Advanced Debt Collection Techniques
Data Validation
Dynamic Workflow
Data Interaction
Voice Communications
Interactive Channels
Secure Payment Processing
Speech Analytics
Behaviour, Psychological Encouragement Analysis
Automated Communication
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Advanced Debt Collection Techniques
Data Validation
Automated data validation, reconciliation and
appending at point of loading ensures data
accuracy and uplifts the levels of customer
engagement. ID Number validation Date of
birth, Sex, Citizenship, Deceased status Company
registration no API via CIPC, together with
correct registered name Telephone Number
Validation Cell Phone gt 059 Landline lt
060 086, 087, 080 Separation Removal of non
Numeric characters Removal of 27 Insertion of
0 Confirmation of length 10 if Local Email
Address verification API email validators give
no guarantee as to the correctness
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Advanced Collections Techniques
Dynamic Workflow
Achieve the right outcomes fast by using
customised dynamic workflows.
Status Eg. Judgment
Type Of Debt
Type of Debtor
Date Of Cause Of Action
Legal Stage
Pre Legal Stage
Payment Arrangement
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Advanced Debt Collection Techniques
Continuous data interaction ensures optimal
results.
Data Interaction
APIs
CIPC CPB TransUnion
Communications Cleansing
Heuristic Algorithms
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Advanced Debt Collection Techniques
Interactive Channels
Channels enable debtors to communicate with us
and self-serve without the need to speak with our
team. SMS, IVR (Interactive Voice Response)
IVM (Interactive Voice Messaging), web access and
email. Debtors have the ability to load their own
debit order online.
Voice Communications
Maximised contact centre effectiveness is
achieved in our blended, automated and predictive
dialling environment.
Speech Analytics

• Software that studies the tone of voice used by a
  call centre agent.
• Red-flags excessive tone of voice and makes
  supervisor aware for further analysis.
• Software also red-flags certain keywords used to
  rule out unnecessary future confrontation.
• Monitors customers reaction and behaviour
  towards certain keywords used, to improve future
  collection success.
• Deliver insight into voice communications with
  debtors to provide assurance of compliance,
  identify trends and direct training activities to
  help serve customers better.

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Advanced Debt Collection Techniques
Secure Payment Processing
Advanced software is used to match payments
automatically from trust accounts, debit order
processing an client declaration, thereby
eliminating possible errors.
Automated Communication
Debtors find it easy to understand our written
communications and know exactly what to do as a
result of our clear calls to action. All language
and visual cues have been designed by applying
behavioural sciences, as well as ease of access.
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• Implementing effective debt collection strategies

Debt collection systems and techniques start with
good planning and end with constant
review. Strategy differs, dependent on Type
of credit Sector of commerce/industry Terms of
sale Liberal or restrictive credit policy Type
of customer Location of target market Product
Value
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Using behaviour analysis to improve debt
collection performance
Behaviour, Psychological Encouragement Analysis
Years of research have given us the advantage of
studying the reasons for debtors making payment.
This ongoing research is applied in our
collection procedure based on behavioural,
psychological and encouragement criteria and
changing statistical models. The benefit is that
it not only leads to the fastest possible route
to payment, but also the highest eventual
success. Research on behaviour in relation to
type of action is on-going.
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Robotic Process Automation (RPA)

• RPA can automate numerous tasks usually performed
  by full-time employees.
• Companies want alternative opportunities that
  reduce cost and improve efficiency and production
  by removing repetitive and manually demanding
  tasks such as balance enquiry or telephone calls
  to remind the customer to pay as previously
  arranged.
• Collection departments need to cleverly maintain
  quality of customer experience, by investing in
  the right communications to achieve the best
  level of understanding, and balance it alongside
  robotisation.
• With the extensive levels of data available, and
  the different systems used to access it,
  organisations now require a great deal of
  intelligence. This intelligence will give a full
  picture of each customers journey from the
  opening of their account through to their current
  situation. This can be achieved using several
  different sources including white credit data,
  account history, trace information or feedback
  they provide to a collections agent.
• Having these capabilities is important to create
  a single customer view allowing accurate
  understanding of customer situations to provide
  the right outcomes.

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Building sustainable bad-debt reserve models
How much are you writing off in bad
debt? Scoring models are essential to building
bad debt reserve model. Calculate DSO
per customer sector Calculate the cost of
internal collections Calculate the cost of not
outsourcing Include true cost of finance per
sector
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Building flexible and sustainable bad-debt
reserve models
Actual model building steps
Customer score vs. account score
Exclusions
Observation point and/or window
Objective Portfolio identification
Segmentation
Validation plan and samples
Performance window
Bad definition
Variable Selection
Model Building
Scoring and Validation
Score Implementation
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Building a Self-Cure Strategy
If a customer is as likely to make a payment
when they are called on day one as they are when
called on day five, then there is no cost in a
self-cure strategy for those first five
days. Therefore, no call should be made until
day six regardless of how small the probability
of receiving a payment from the self-cure
strategy actually is. This is because, with no
costs, any recovery made is value generating and
any recovery not made is value neutral. However,
if after the first five days a customer who has
not been contacted begins to become less likely
to make a payment when eventually called, costs
start to accrue. The customer should remain in
the self-cure strategy up to the point where the
probability of payment from the self-cure
strategy is expected to drop to a level lower
than the associated drop in the probability of
payment from the next best strategy.
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Building a Self-Cure Strategy
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Worldwide Trends

• USA consumers are the most indebted in the world
• USA and Japan owe more than one year GDP
• USA Delinquency Rates
• Loans 4.9
• Bank Cards 7.1
• Real Estate 4.2
• USA Collections Statistics
• 63 of companies were subject to payments fraud
  in 2016.
• saves more than 400 per household per year
• 500 000 debt collectors in the US
• Average account size 1380
• 513 Billion written off in last quarter 2016
• Management spending most of their time with
  compliance
• Largest problem - predatory law firms
• CFPB complaints rises from 271,600 (2015) to
  291,400 (2016) (higher than any other industry)
• Debt collectors change communication to vanilla

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Credit management is a value chain if any
element of the credit extension process is
defective, the entire process could (and usually
does) collapse.
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Thank You

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