Debt collection strategies are now more important

2nd September 2020

The financial outlook for many people in Britain is looking very different to what it looked like six months ago. Existing job roles are under threat as employers assess what they need as business interruption loans come to an end. Furthermore, government figures reveal companies froze hiring from April to June 2020, with the number of job vacancies falling 463,000 between March and May to a record low of 333,000.

As the furlough scheme starts to wind down, collections departments are likely to be bracing themselves for a tsunami of people financially affected by COVID-19. 

Proactively identify vulnerable customers

Customers in arrears, but not for the usual reasons, haven’t the typical market data to help identify and segment them which means there is a real urgency to understand the true degree of risk on these customers. Be it from call, collections or communications systems, vital information needed to separate these economic victims from the steady state collections customer needs to be found.

Information needed includes:

  • How reliant on credit the customer is
  • The customer’s financial morality
  • For issuers, the changes in card transaction spend type and velocity
  • Credit stress – number of new applications for credit internally and at bureau, frequency and degree of overdraft facility
  • Where possible, workplace industry, occupation, earning potential, and stability

Without much of the above, COVID-19 related customers will be considered low-risk at the end of payment holiday periods. Priority should, therefore, be given to capture key data at the earliest possible opportunity:

  • The reason for delinquency
  • The duration of impact
  • Disposable income
  • Affordability over time
  • Industry sector and role within

This information is necessary to help understand where the customer is now, where they are likely to be for the rest of this year and beyond. Customers will also need regular communications to understand the changing nature of personal circumstances.

Better assess affordability

Assessment levels should be triaged to ascertain the degree of assessment necessary for a short-term collections solution versus the amount of validation for a long-term forbearance solution.

Look at household balance sheets and cash flow and use Open Banking data to determine accurate affordability assessments. Credit bureau data and other behavioural indicators will signpost trouble with current debt, as will the use of forward-looking analytics to detect the effect of incremental debt on default risk.

Step up communication to capture additional data to manage performance

Communication is key to stay informed about the customer’s circumstances and to segregate those who are falling into delinquency.

Additional data captured in the context of COVID-19 should include:

  • Reasons for hardship: Unemployed, furlough/reduced income, medical, quarantined.
  • Type of relief applied: Payment holiday, reduced instalment – what relief the customer had and when did it stop.
  • Industry sector, so you can estimate need for prolongation.

Apply an omnichannel communications strategy

The best engagement strategy should be led by the customer – so the question has to be how open you can make your systems to customers?

The ideal is an omnichannel approach – contacting the right customer through the right channel at the right time. Organisations that can adapt their contact strategies quickly to enable customers to auto-resolve on omnichannel platforms will be the winners. Ensure that all channels are in scope including auto voice, SMS/WhatsApp, digital direct API, email, mobile app, online or through edocs.

Manage payment holidays ending

COVID-19 customers may have a higher financial morality with a higher intent to service their debts. Now’s the time, therefore, to review your restructure toolkit. Can you optimise the selection using the right tool for the right customer segment?

For example, can you provide a temporary solution which can be automatically reviewed frequently, thereby freeing up creditor teams to focus phone capacity on those with most need?

It is essential to maintain contact to understand situational change and generate monthly updates via Open Banking, or chatbot to identify any changed circumstances.

This is a balance as you don’t want to over structure your procedures. Ask yourself these questions:

  • Is your process fit for purpose? Can you save consumers and creditors multiple calls whilst also ensuring appropriate forbearance that enables continued debt servicing?
  • Can you protect consumers’ credit ratings during the crisis to enable access to credit? When the crisis ends, can you prove validity of credit scores and plan for a controlled way to enable people to return to “normal”?
  • Can you offer an updated budget to enable seamless transition from COVID relief (e.g. payment holiday) into mainstream creditor repayment
  • For those with longer-term financial stress, can you enable a seamless digital transition into debt solutions through a virtual agent, taking all the data insights, information validation and decisioning into your customer auto-resolve tools? Can you do so to the satisfaction of the regulator, the customer and your portfolio performance?

Better segment customers for treatment

Consider pre-delinquency segmentation, lockdown and payment protection segmentation and post-payment protection segmentation and how the segments change across these categories. Decision science teams need to provide regular insight as to what they are seeing and how these insights should influence customer treatment decisions.

Use advanced data-driven strategies

Mathematical optimisation is the most sophisticated analytics available to determine decision strategies and specific actions that will best meet objectives given all available data and constraints.

Optimisation in collections can be applied across the different stages of the collections and recovery lifecycle to solve different problems at each stage by defining the decisions that need to be made. It also helps evaluate and discover successful decision strategies which meet business objectives and cater to the conflicting constraints. It can also be used to explore different analytic techniques and it is vital to capture the right data for each technique and overlay decision modelling to optimise collections actions.

Optimisation can also assist in strategies to determine which accounts are best to be worked internally vs accounts that should be placed or sold.

Review of operations

With four UK tier 1 lenders announcing an expected £20.2 billion increase on impaired loans, the need for digital-led payment plans is likely to increase significantly with higher demand for loan modification so that the longer-term financial impacts can be worked through. Ultimately, companies will have to manage higher impairments and losses, which will attract C-level attention to the overall collections and recovery performance.

Given the cost of bad debt on the balance sheet, now is the time for a comprehensive analysis of policy, insight, people, processes, tools, technology, data, management information and data and analytics and strategy, to gain maximum operational efficiency.

Bruce Curry, Vice President for Collections and Recovery, Fico