Developing an Effective Collections Strategy


Compilation of strategies used by top-performing collectors across 15 industries

Contents

Chapter 01

The Right Approach to Develop a Collections Strategy

Chapter 02

Developing an Effective Collections Strategy

Chapter 03

12 Collection Strategies for Every Aging Bucket

Chapter 04

Additional Notes

Chapter 05

About HighRadius
Chapter 02

Developing an Effective Collections Strategy


Adding a New Dimension to Collection Strategy

Suppliers need different collections strategies, depending on their customer base. While developing these strategies, it is important to understand that a one-size-fits-all approach can?t be applied to buyers across different sizes, industries, and business relationships. A very important criterion to develop collection strategies is for the company to KNOW THE CUSTOMER! Understanding the customer, in more technical terms, is what organizations refer to as Customer Profiling. In order to collect faster from your customers, you need to be able to predict how they are going to respond to a dunning activity. More often than not, businesses have a lot of customer data at their disposal which they could convert into intelligence and translate into the right collection strategy to achieve their objectives.

Customer Profiling : Key Factors

Aging Buckets

Categorize your accounts receivable according to the length of time an invoice has been outstanding. The different aging buckets to be considered are 0-30 days, 30-60 days, and 60+ days. Aging reports give you an idea of how much a customer owes you, and for how long, depending on which you could develop the most effective dunning approach for each segment.

Payment Behavior

Evaluate if your customer is a fast payer or a slow payer depending on their payment history. One way of doing that is to compare the average days of delinquency with the industry average. If the ADD is less than or equal to the industry average, then the customer is a fast payer, otherwise, they are a slow payer.

Risk Category Determination

Based on the customer?s credit limit, payment history, amount of debt, reference checks, and related factors, you would be able to segment your customers into high, medium, or low-risk categories. The weightage assigned to each one of these factors varies from one company to another,† but the overall result is imperative to determine the right collection strategy that is more likely to produce successful dunning results.

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HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.