ROAR-Insights

INSIGHTS+ ¦ What are 10 behavioural theories that impact the debt collections process

10 Useful Behavioural Framework Models for Debt Collections Nudge Theory: Nudge theory involves subtly guiding individuals towards desired behaviours without restricting their choices. In collections, nudges can include reminders before payment deadlines or suggesting convenient payment options. Loss Aversion: This principle says that people are more motivated to avoid losses than to acquire gains. Highlighting potential negative consequences of non-payment can incentivise debtors to pay. Social Norms Theory: People are influenced by the behaviours of others around them. Informing debtors… Read more

EVENT SUMMARY ¦ Collections Technology Think Tank 5.2 – Credit Connect

Once again it was great to host the latest Credit Connect Technology Think Tank. There was some really insightful discussion and ideas this time around. For similar summaries and updates subscribe to the RO-AR.com newsletter. Session 1: Collections Communications and Engagement Key Takeaways Transition towards digital-first customer engagement strategies in collections.Emphasis on customer control over engagement and account management.Integration of open banking faces challenges in consumer trust.Shift from outbound calling to more efficient digital communication methods.Importance of personalization in customer… Read more

INSIGHTS+ ¦ How to Use Data-Driven Personalisation in Collections: Enhancing customer interactions through personalised data insights.

Introduction In an era where personalisation is critical to customer engagement, the collections function for creditors must adapt to incorporate data-driven personalisation techniques. This strategy not only enhances customer interactions but also optimises recovery processes and improves overall customer satisfaction. This article explores the top 10 key elements required to effectively implement data-driven personalisation within a collections function, detailing why it is important, key considerations, and the expected benefits. Why Data-Driven Personalisation in Collections? Data-driven personalisation leverages customer data to… Read more

Job Loss Dashboard

Job Loss tracking dashboard, based on analysis of daily news feed, and items that mention job losses. Analysis of trends, both in terms of total job losses and number of unique company names mentioned Companies highlighted, but without specific job loss figures are recorded in a separate column (this is often a precursor to figures being announced) Dashboard allows drill-down capability, by month and by company, including reference to original source text NOTE: Some duplicates may appear due to reporting… Read more

UK Energy Market – Collections Process – June 2024

Just updated the research from feedback on the UK energy market and the collections process. This covers all key residential suppliers in the UK market and collections associated feedback up to June 2024. A couple of key themes remain KEY THEMES Poor Customer Service Instances of rude customer service representatives hanging up on customers without warning. Ineffective escalation processes, with repeated promises of callbacks that are not fulfilled. Customers experiencing significant frustration due to being passed between departments without resolution.… Read more

INSIGHTS+ ¦ How to Leverage Open Banking Data: Utilising open banking for improved decision-making and customer engagement.

Introduction In today's financial landscape, leveraging open banking data within a creditor's collections function is becoming increasingly pivotal. Open banking, which enables third-party access to banking data through application programming interfaces (APIs), offers a wealth of information that can enhance decision-making and customer engagement. By integrating open banking data, creditors can refine their collections strategies, improve customer interactions, and ultimately, optimise their financial outcomes. This article explores the key elements necessary for effectively utilising open banking data in a collections… Read more