Collections after Covid – how to support your customers after the crisis

Presented by

Noble Systems

About this talk

In these turbulent times, public health is clearly the priority, but when Covid-19 stabilises, the global economy could be the next to fall. Millions of people are concerned about their finances, the shock impact of the virus has already taken its toll with self-employed and small-business owners hit particularly hard. As payment holidays and government-backed furlough schemes come to an end, redundancies are set to increase and those affected will have to file for bankruptcy or insolvency as their debt problems spiral. You’ll no doubt be planning what lies ahead and will be aware that the old challenges will be magnified. Your technology decisions are going to be crucial to help your staff maximise their collections efforts, at the same time as dealing with potentially vulnerable customers. Managing your teams, keeping productivity levels high with fewer staff and potentially a long-term remote workforce will be a constant challenge. This 30-minute webinar will provide solutions to help you reach your customers by providing a robust framework for a proactive contact strategy. We’ll be talking about measures you can put in place to help your team achieve more right party contacts, to sensitively communicate and ultimately put plans in place to collect owed debts. Noble Systems has over 30 years’ experience in the debt/collections sector and on this webinar our solutions experts will share best practices for managing debtor data and provide tips and tricks that you can implement within your contact centre/collections department today. We’ll cover ways to ensure the customer experience is as painless as possible and also look at ways to align it to agent satisfaction. Topics to be covered include: - Understanding and managing vulnerable customers - Delivering proactive customer engagement - Creating a dynamic contact strategy to reach more right party contacts - Improving your customer experience with AI
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