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Chase unpaid invoices with 40 polite templates that work — and get paid faster

See how your customers are paying at a glance with payer ratings

Understand your customer payment behavior instantly, and tailor and improve your receivables approach with ease.

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Prioritize effectively

Find out which customers are most likely to pay you late, and who you should follow up with first. Instantly identify problem accounts without the need for additional reports or tools, and gain clear insights into your payer's behavior before adjusting their credit limits or using debt collection.

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Segment and optimize your follow-up approach

Easily group customers based on their payer rating as ‘good’, ‘bad’, or ‘average; and use different follow-up approaches tailored to their payment behavior. Segment and avoid bombarding good payers with unnecessary additional follow-ups.

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Avoid doing business with bad payers

Payer ratings can help you avoid doing business with bad payers in the future by assessing their credit worthiness prior to extending credit. Poor payment habits can easily be identified by their 'bad' payment history, and credit limits can be reduced accordingly.

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Keep track of your customers' payment behavior

You can significantly reduce collection times by segmenting your customers based on their payment behavior. But understanding your payer's behavior isn’t straightforward. It takes into account how they are paying now, how they have paid in the past, and estimates how they will pay you in the future; no quick task for an already-busy finance team.

 

Payer ratings let you see at a glance how your customers pay you. Using machine learning, payer ratings analyze your customers’ payment behavior over time to determine whether they are a good, bad, or average payer. Payer ratings mean you can understand your customer payment behavior instantly. This will help your team tailor the collections approach and identify areas where you can improve your accounts receivable management and follow up process.

SPEAK TO AN EXPERT

A 15-minute call could save you 60+ hours a month on receivables

Over 10,000 users worldwide rely on Chaser to get paid faster, protect their cash flow and maintain good customer relationships.


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FAQs

What is payment data analytics and what is its role in accounts receivable?
Payment data analytics scrutinizes financial transactions to glean business insights, uncover trends, and bolster decision-making. Within accounts receivable, it is essential for enhancing financial tracking, identifying customer and market trends, enabling data-driven choices, streamlining financial management processes, and improving strategic planning by offering a comprehensive view of financial health.
What is payment statistics?
Payment statistics involve the collection, analysis, and interpretation of data related to financial transactions. These statistics provide insights into various aspects of payment processing, including volume, frequency, value, and methods of payment. They help businesses and organizations understand patterns, trends, and performance in their payment activities.
What is predictive analytics for payers?
Predictive analytics for payers involves using historical payment data, statistical algorithms, and machine learning techniques to forecast future payment behaviors and trends. This can include predicting payment delays, identifying potential fraud, estimating cash flow, and optimizing payment strategies. By leveraging predictive analytics, payers can make informed decisions, mitigate risks, and improve their overall financial management.
What is an example of payment data?
The input provides an example of payment data, including transaction ID, date, time, amount, currency, payment method, card type, masked card number, customer ID, merchant ID, and transaction status.