When COVID hit in 2020, one Fortune 500 company needed to find an effective way to communicate and collect from the rising overdue accounts, with many of their customers falling into financial hardships. While the company had previously relied on old-school communication tactics like direct mail and an in-house call center to reach customers who had delinquent accounts, they knew a better solution was needed.
The company had already observed firsthand a rise in customers’ preference for digital communications between mobile apps and online bill pay options, making it clear that this was the best route to go. Rather than build from scratch in-house—which would’ve been costly and time-consuming—the company evaluated third-party options before choosing TrueAccord and implementing Retain, the client-labeled early-stage collections solution.
Retain’s digital outreach strategy made a significant impact on customer engagement and resolution beyond just payments with improvements across their paid in full rate, overall collections rate, average amount collected daily, and more. And with the help of HeartBeat, TrueAccord’s powerful machine learning decision engine, they were able to observe behavior data and optimize digital touch points and engagement in real-time. In just a few weeks, this digital collections approach caused a major transformation that only continued to improve.
Historically, debt collectors have been depicted as hostile, intimidating or downright rude – and over the years they’ve confirmed those stereotypes through aggressive phone calling and deceptive tactics. But to what success and at what cost? We know there’s a better way. The idea of compassionate, considerate consumer communication is behind TrueAccord’s approach to debt recovery and drives our innovation, and based on what we’ve seen, we believe there’s a lesson to be learned for others in the debt collection space.
In collaboration with OnePoll, TrueAccord recently surveyed consumers about their financial regrets and found that 63% of respondents had some amount of money in collections. While 88% of respondents didn’t have any past experience with accounts in debt collection to report, the 12% that did weren’t so lucky, and their experiences were pretty awful. We don’t like to hear about consumers being treated badly and reading these consumer comments brings to light the problem we’re trying to solve.
So what are consumers’ complaints about their experiences with debt collectors? Here are just a few:
“A million phone calls a day.”
“I was disgraced in a public place.”
“Relentless and rude, judgemental and uncaring.”
“Terrible experience, they were perfectly nasty.”
“They are mean and evil and clever and make you feel terrible about yourself.”
“They get angry when I don’t have the money to pay back in time.”
We’re here to flip the script. At TrueAccord, we don’t call consumers to collect past due debts, and we certainly don’t threaten or harass. By using a digital-first communication approach and friendly, humane messages, we actually connect with consumers and they feel empowered and motivated to pay.
Don’t believe us? Here’s some real-life customer feedback from people TrueAccord has helped out of debt:
“Thank you for your patience and understanding!”
“Love the email communication and the ability to pay online.”
“I actually looked forward to making payments because I felt there was a sense of mutual respect between myself and TrueAccord. It felt good to take care of a lingering debt.”
“Thank you for your kindness, patience and professionalism in the wake of hardship.”
“It is amazing to be able to feel good about paying your bills. You helped me all the way. No pressure.”
“My experience with TrueAccord was seamless. Truth be told, it’s the first time I’ve ever enjoyed time spent with a debt collection company!”
So far the kindness approach has worked for TrueAccord – with more than 16 million customers served, we pride ourselves on our 4.7 on Google reviews, A+ rating with the BBB, and overwhelmingly positive customer feedback, not to mention our industry-leading recovery results. We’re proving that when you treat consumers with respect and kindness you can actually achieve better results for your business and customers.
Interested in finding out more about how outbound calling for debt collection is a thing of the past, our approach to digital-first debt collection and how it can work for your business? Check out “Outbound Calling Doesn’t Work, Here’s What Does” for more.
Delinquencies are a predictable reality for any business that handles payments, but the most efficient and effective way to recover delinquent funds isn’t always as predictable.
A recovery team could theoretically chase down every last delinquent dollar. But it would soon reach the point at which the operational cost of the effort – and the associated legal and reputational risk – would cut into profitability.
With so many factors involved, it can be difficult to even know where to start…
The planning process should start with an in-depth understanding of what makes a world-class recovery strategy in today’s digital-first age, a look at the big picture for your specific industry all the way down to your detailed metrics, and KPIs that should be steering your strategy. Consumers expect a seamless, personalized experience in every financial transaction, and your recovery operations can continue to deliver that all the way through the customer journey when you have the right strategy in place.
There is no one-size-fits-all when it comes to debt recovery and collection, but getting started doesn’t have to be daunting when you have the right resources to get you going.
Beyond Best Practices and into Actionable Tactics
Go beyond general best practices and start plugging in your own data with the tools inside our new Recovery & Collection Starter Kit. We have assembled guides, calculators, cheat sheets, and more to provide the frameworks and metrics for your organization to get started architecting the right recovery strategy for the long run.
Each starter kit includes:
World-Class Recovery Guide — pick your industry edition!
Manage delinquencies without sacrificing consumer experience
Balance performance with operation metrics and consumer-focused KPIs
Compare, contrast, and evaluate in-house vs partner collection strategies
Cheat Sheet: Top KPIs for Your Recovery Operations
Differences between traditional debt collection metrics, digital engagement tracking, operational KPIs, and more
New consumer-centric KPIs for today’s most effective recovery strategy
How to calculate profitability of a collection operation using operational metrics
Interactive Recovery & Collection Calculator
Enter your business’s KPIs to measure the profitability of your recovery
Discover opportunities to improve the reach, resolution funnel, and cost effectiveness of your recovery operation
Scenario plan how much in additional revenue and cost savings the shift to an intelligent, digital strategy can drive for your business
Choosing a Recovery Partner: Top 6 Questions to Ask
Detailed questions on communication, technology, risks, and more
Why each question matters for both profitability and consumer-experience
Based on each question, what to look for in a potential partner’s responses
These tools will teach you how to maximize profitability by efficiently recovering money lent to customers or members—while simultaneously maintaining consumer loyalty. Now is the time for businesses across verticals to embrace a disruptive, obsessively consumer-centric mindset for recovery and collection, and experience the results of this new approach.
Most Americans are in enough credit card debt, they would do anything to go back in time and change the outcome of their financial situation, according to new research.
A survey of 2,000 general population Americans examined how they tackle their financial hurdles and found the average person owes $3,083 to credit card debt.
Many respondents shared their financial regrets over the years, from not setting up a retirement plan when they were younger (51%), to not paying close attention to their credit score (43%) and buying goods that were too cheap (41%).
Three-quarters (76%) have made an average of five financial decisions they regret in the past five years. And those who are eager to get out of debt (76%) have already planned their “debt free” celebrations once they finished paying all their dues.
Conducted by OnePoll and commissioned by TrueAccord, a digital debt collection company, the study revealed 77% of respondents have lost an average of nine hours of sleep per week due to their financial woes.
When they’re in a financial crisis, 63% of people will turn to someone they trust — with half turning to their parents, 48% to their best friend and 46% to their primary bank.
Overall, 87% of people credit their financial “wins” to the people who had given them advice, while seven in 10 (71%) said they’ve learned from others’ financial mistakes.
“There are close to 80 million Americans with past due debt and most want to pay it off and move on with their lives. But that is exceedingly difficult, especially in a debt collection system that treats consumers poorly and is more interested in process than simplifying debt repayment,” said Ohad Samet, founder of TrueAccord. “What we see more and more are consumers in debt who want to pay off their balances but are met with challenges of communicating with collectors, financial literacy and budget considerations that create roadblocks to being debt-free.”
For many Americans, recovering from financial regrets starts with their credit score. The average person doesn’t understand the importance of their credit score until they’re 28 years old, but believe it’s better to start building a credit at 25 years old.
Over four in five (84%) said maintaining a good credit score is important to them, with nearly as many (81%) saying it’s even more important than their social lives.
Respondents also recalled the feelings they have when they see their credit card statements and when they’re about to make a payment. When seeing their statements, 31% said they feel confident and 24% feel fear.
On the other hand, people feel satisfaction (36%) and happiness (22%) when making a payment.
While 38% don’t plan on taking out any kind of loans in 2022, many are already making plans for loans in the year ahead — including credit card loans (34%), personal loans (33%) and mortgages (30%).
“For those who are able to repay their balances, there may still be a longer-lasting impact to their credit score that can be difficult to remedy and further inhibit financial stability,” added Samet. “People will continue to borrow money when they need it, but what’s important is that they are informed on loan or credit terms and have a financial plan in place to ensure they’re making smart spending and repayment decisions. At the end of the day, though, getting into collections is often the result of trauma — loss of work, a healthcare crisis, and so on — many of them unexpected.”
TOP 10 FINANCIAL REGRETS AMERICANS HAVE
Not starting a retirement plan while I’m young 51%
Not paying attention to my credit score 43%
Buying cheap goods 41%
Defaulting on payments and ending up in debt collection 41%
Overspending on credit cards that I can’t afford to repay 38%
Measuring the success of a recovery strategy goes beyond just the dollars and cents recovered. Yes, the goal of a recovery operation is to maximize profitability by efficiently recovering money lent to consumers, but other key factors — like consumer experience and retention — are also important in evaluating the success of your business.
A recovery team could theoretically chase down every last delinquent dollar, but doing so is often not worth the operational cost of the effort, and the associated legal and reputational risk can cut into profitability.
In this blog post, we’ll share the most important key performance indicators (KPIs) for collections and recovery — and how you can use them to create a seamless, scalable, and world-class recovery practice.
Meet the Metrics
Whether looking at portfolio performance, operational profitability, or consumer experience, different KPIs play a role in measuring the success of a recovery strategy. Collectively, these metrics make up the “language” of recovery and collection — helping organizations understand the fundamentals of their operation.
Here are a few of the most integral metrics to know:
Accounts per Employee (APE) or Accounts to Creditor Ratio (ACR): the number of delinquent accounts that can be serviced by an individual recovery agent
Net Loss Rate or Net Charge Off Rate: measures the total percent of dollars loaned that ended up getting written off as a loss
Delinquency Rate: total dollars that are in delinquency (starting as soon as a borrower misses a payment on a loan) as a percentage of total outstanding loans – often an early warning sign on the total volume of delinquent debt
Promise to Pay Rate: the percentage of delinquent accounts that make a verbal or digital commitment to pay
Promise to Pay Kept Rate: the percentage of delinquent accounts that maintain a stated commitment to pay
Roll Rate: the percentage of delinquent dollars that “roll” from one delinquency bucket to the next over a given period of time – provides visibility into the velocity with which debts are heading into charge off
Profitability of a Collections Operation Formula: R x ResF x E
R [Reach]: percentage of consumers in delinquency can you actually reach
ResF [Resolution Funnel]: how effectively you can convert initial contact with a consumer into a commitment to pay – and ultimately, a payment promise kept (see Promise to Pay Rate and Promise to Pay Kept Rate)
E [Efficiency]: calculation of what the “unit economics” of your collection are and how much it costs, on average, for every account that you rehabilitate
The following diagram highlights the relationship between these core operational metrics of a recovery strategy and portfolio-level outcomes.
In the hyper-competitive financial services space, consumer experience is a source of competitive advantage. That’s why it stands to reason that alongside the “traditional” metrics we see above, forward-looking fintechs and lending organizations should include KPIs that measure the value of consumer experiences:
Net Promoter Score (NPS): how likely a consumer is to recommend a given brand after an experience with a brand’s collection organization
Customer Retention Rate: how likely a consumer is to be reacquired by a given brand after his or her delinquent account is rehabilitated
How to Make the Most Out of These Metrics
So you have traditional metrics and consumer-focused KPIs, but how do you use it all? Managing performance with operational and consumer-centric metrics requires understanding the economics of recovery. Successful organizations will use the data to measure trends against the company’s own historical data, evaluate partners and strategies, and understand the big picture.
Understand the Big Picture
Visualize the relationship between operational metrics and portfolio-level outcomes. Conduct scenario planning exercises (e.g., “if we were able to improve the reach of our efforts by 25% through digital outreach, we would be able to reduce our net loss rate by 750 basis points”).
Measure Trends Longitudinally
Benchmark against a company’s own historical data as the collection team rolls out new strategies and tactics (e.g., “we boosted our promise to pay kept rate by 350 basis points relative to the previous vintage with pre-payment date reminders”)
Evaluate Partners
Assess potential collection vendors against a standard slate of metrics and KPIs (e.g., “of the three vendors that we evaluated for our collections, which one led to the greatest reduction in roll rate?”)
Moving Towards World-Class Recovery
Understanding collection KPIs and how to use them is a critical part of creating an effective recovery strategy — learn about all the components of a successful collection operation in our new ebook, the Guide to World-Class Recovery. Available for download now, this ebook provides the tools and frameworks to ensure that you’re architecting the right recovery strategy for your company for the long run.
PORTLAND, Ore., (February 7, 2022) – Sila Inc., a fintech software platform that provides payment infrastructure as a service, today announced that it partnered with TrueAccord, the leading debt collection company offering intelligent, digital-first collection and recovery solutions, to make it easier for Sila’s customers to use TrueAccord’s products and services. How to deal with delinquent and defaulted accounts is a key element that fintechs need to have in place as part of their overall management of funds. Using a patented machine learning engine and engagement data from millions of customers, TrueAccord delivers a personalized, self-serve experience that drives consumer engagement and industry-leading results. Meeting consumer preference for digital-first services and to cut through the noise and empower customer self-service and inbound communication, TrueAccord uses a range of channels including email, SMS, voicemail drop, and more.
Since its inception, Sila has been laser-focused on providing industry-leading API solutions. As importantly, Sila has been steadily growing its partner network to augment its offering by anticipating additional functionality that Sila customers will need to successfully build their businesses. With the recent addition of TrueAccord, Sila is on path to have agreements with over 40 specialist service providers signed by the end of this quarter.
“Sila is proud to welcome TrueAccord as a partner. We know that our customers will benefit from this key addition to our partner network and from a closer relationship between our two organizations,” said Shamir Karkal, CEO and co-founder, Sila Inc. “Like many of our fintech customers, TrueAccord was founded by an individual who had a sub-optimal experience with a traditional financial institution and decided to do something about it. That’s a mindset that is very close to our own because we started Sila around the idea to provide payment services that allow entrepreneurs to build the new financial world they have in mind.”
“We have worked with more than 16 million consumers on their journey to pay off their debts, and we use that data and feedback to understand how and when to best engage consumers to facilitate repayment. By allowing consumers to create flexible payment plans and by offering modern, digital-first communication channels, we are changing the landscape of debt collection from hostile and harassing to empathetic and helpful,” said Mark Ravanesi, CEO of TrueAccord Corp. “We are looking forward to bringing to bear our significant expertise for the benefit of Sila’s customers and consumers.”
About Sila
Sila is a fintech software platform that provides payment infrastructure as a service, a business-critical element for all companies that need to integrate with the US banking system and blockchain quickly, securely, and in compliance with applicable US regulation. Sila offers Banking, Digital Wallet & ACH Payments APIs for Software Teams. The firm was recognized as a ‘2021 best place to work in financial technology’. Sila is headquartered in Portland, Oregon. For more information go to www.silamoney.com
About TrueAccord
TrueAccord is the intelligent, digital-first collection and recovery company that leaders across industries trust to drive breakthrough results while delivering a superior consumer experience. TrueAccord pioneered the industry’s only adaptive intelligence: a patented machine learning engine, powered by engagement data from over 16 million consumer journeys, that dynamically personalizes every facet of the consumer experience – from channel to message to plan type and more – in real-time. Combined with code-based compliance and a self-serve digital experience, TrueAccord delivers liquidation and recovery rates 50-80% higher than industry benchmarks. The TrueAccord product suite includes Retain, an early-stage recovery solution, and Recover, a full-service debt collection platform.To learn more, go to http://www.trueaccord.com.
With digital lending via neobanks and fintechs on the rise, consumers have more options than ever for obtaining loans. There are a lot of considerations for these digital financial providers when building their business models, but one important and often-overlooked strategy is recovery for delinquent accounts. We sat down with TrueAccord’s Chief Growth Officer, Sheila Monroe, who has held numerous executive-level positions at TrueAccord on top of a multi-decade career in collections, to learn more about the economics of collections and what new lending players should look for when considering a collections solution.
What are the economics of collections metrics for delinquent accounts?
There are a number of metrics to pay close attention to in the management of delinquent accounts. These can be separated into two main categories, portfolio metrics and operational metrics.
Portfolio metrics address the health of the entire portfolio or a defined segment of a portfolio (a certain vintage or a certain risk group or even a particular product). For a U.S.-based lender following GAAP accounting, the lender’s net loss rate (or net charge off rate) is the ultimate metric. It tells investors and management what percent of the portfolio is lost as a result of non-payment, which is a key metric in the overall health of the business. Private equity and venture capital firms, along with companies who invest in a lender’s receivables, will be most interested in a predictable loss rate in line with investment objectives.
Operational metricsare also important in managing delinquency and losses. Operationally, lenders should understand how well consumers follow through on payment plans or promises by monitoring a promise kept rate as well as what percent of payments cover the total payment due to cure the account. For measuring efficiency, lenders look at the ratio of delinquent accounts per collection employee, often referred to as accounts per employee (APE) or accounts to collector ratio (ACR), as well metrics like promises and dollars collected per paid hour of operations. Many also look at the cost to collect a dollar or the cost per delinquent account.
What are credit loss provisions and why are they important to financial providers?
Lending institutions will inevitably have loans that go into default, and this is planned for in their financial modeling. For lenders, even the largest international banks, loan losses are the largest expense line in the budget so it’s important to prepare for those losses. When money is loaned, whether in a 30-year mortgage, a 5-year car loan, or a revolving credit card, some of those accounts will go past due, and some will fail to pay long enough that they get charged off as bad debt (credit loss), and it can take years to see that happen.
But when account balances do get charged off as bad debt, the lender must have enough money “reserved” to absorb those losses and still be able to operate. So any lending company with investors will need to have a reserve for losses that shows up in their balance sheet. Depending on market conditions and actual loss rates, these reserves can be adjusted upward or downward periodically to ensure what is commonly referred to in financial services as “safety and soundness”. This is even more important if a lender takes consumer deposits to fund any of their lending.
What is a roll rate in debt collections?
The roll rate is the sum of account balances that moves from being in one stage of delinquency to the next. For example, if 500 accounts with balances totalling $600,000 are one month past due (often called bucket 1 or one down), and the next month there are 150 accounts with balances totalling $125,000 that are 2 months past due, there was a 20.8% roll rate from buckets 1-2. Roll rates can also be calculated based on number of accounts, but that metric is rarely used in a performance analysis.
How do lenders and debt collectors use roll rates?
Roll rates are primarily used to forecast future charge-off levels, to develop sophisticated risk scoring models to be used in underwriting or collection strategy, and to evaluate the effectiveness of a collection strategy or process. The collection process is designed to effectively intervene when consumers miss payments and to encourage and enable them to get back on track quickly. The longer loans and credit cards go unpaid, the more they accumulate late fees and finance charges and become much more difficult to get back to good standing.
What are “good” roll rate ranges in debt collections?
This can be tricky to determine because portfolio objectives and type of debt come into play. For example, some products might be aimed at riskier customers, those with thin or no credit profiles, or those who have lower credit scores and it would be disadvantageous to compare those roll rates to those of a prime product. It’s important to understand the objectives of a lending product when evaluating performance. Depending on their objectives, some lenders target high-risk customers and have high credit losses, padded by high fees, while others target prime borrowers and enjoy low losses.
If a lender has been in business long enough, they can benchmark roll rates against prior years, but need to account for any changes to underwriting and macro economic conditions. For example, banks can compare delinquency and charge off rates to other banks or look at performance by vintage, meaning how are all the accounts that were opened during a specific period of time performing. Peer benchmarking can be difficult for Fintech and other young lenders who often don’t have a base of publicly traded competitors who must report these key metrics in shareholder reports, but there are some consortium groups that can help (Auriemma Roundtable Group).
Roll rates are early indicators of collection effectiveness and often require more than a glance to understand if they are good. Often looking at connected roll rates or flow rates is more telling. For example, a high roll rate one month may be the product of a short billing month, while looking at a broader metric like debts that rolled from current to 3 months or those that went from 4 months to charge-off, might be a more telling indicator.
What are “good” ranges of cost to collect?
Generally, collection costs include the cost of collection staff wages and fringe benefits, software licensing, management overhead (for quality monitoring, training, supervision, workforce management and others), communication costs (letter and postage, telephony, SMS and other costs), equipment, supplies, scrubs and skip tracing information, and premises (leases and maintenance). If the collection function is completely outsourced, a lot of these costs will be wrapped into the cost per hour or cost per FTE being charged. I’ve seen costs on a per account basis range anywhere from $4.50 to more than $16 for unsecured consumer debt, depending on the strategy, the type of portfolio, and the location of the operation.
As a lender, it’s important to know what you are optimizing for. Spending more to keep losses low may seem like a no brainer, but there is a point of diminishing returns and, worse, a point in which more collection activity drives disproportionate costs in the forms of complaints, litigation, customer attrition and reputational damage. It may make sense for your business to manage delinquency and charge off levels near your industry’s benchmark or even higher, but put more thought into customer retention and how to get them using your product again once their finances have stabilized.
Why should a company that’s new to lending have a collections partner?
New lenders go into business to lend money. They start with a target audience and product market fit, and tailor underwriting to their growth aspirations and customer value proposition. That is absolutely what any new lender should focus on. But often lenders are either naive about the impact of losses (maybe they think their underwriting will be so good they don’t need to think about collections), or they don’t have a full appreciation of how managing losses and taking advantage of recoveries will enable them to lend more money and retain more of those hard-earned customers. Having a trusted collection partner can allow the lender to focus on what they do best while reaping the benefits of sound practices to manage delinquency.
How do you measure success?
Ultimately, it will be a combination of your lending strategy (did you lend to the right people) and your collection strategy (how well can you get customers back on track after missing a payment) that will influence portfolio metrics. But none of these metrics will drive outstanding performance in isolation. To be effective, it’s important to understand a lender’s reach into the delinquent customer base. What percent of customers are actually engaging with the collection effort? A calling strategy results in about 2% of phone calls reaching a “right party” (the person responsible for paying) and about 1.5% resulting in a payment.
More lenders should look at engagement metrics – what percent of their delinquent customers actually engaged with some form of communication. In a purely digital strategy it is easy to measure email open and click rates, and SMS engagement rates as strong top of the funnel indicators. For Fintech we see a 46% email open rate and 2.5% click rate, with SMS delivering click rates between 25-32%. This is substantially higher engagement than what can be achieved in a calling environment and is better received by consumers.
What should a digital lending company consider when choosing a collections partner?
Companies new to lending are originating loans, and therefore the entire customer relationship, online. Their customers had a digital experience to begin the relationship and they will expect a digital experience throughout their relationship with the lender. With that in mind, some things a digital lender should consider when choosing a collections partner include:
Does the collection company primarily communicate with my customers in their channel(s) of choice? Many collection companies will say they use email, but it is often not the primary mode of communication and can amount to less than 10% of an otherwise heavy, offensive phone calling strategy.
Are customer communications personalized when it comes to the channel being used, the time of day the communication occurs, the content and tone of the message or do they segment broad groups of customers for a one size fits all treatment strategy?
Does the collection company leverage any machine learning that could augment what I already know about my customers based on my internal data alone?
What process does the collection company have for continuous improvement enabled by a strong champion/challenger testing capability?
How much execution risk does my collection partner expose me to? Operations that rely on more collection agents will carry more risk exposure. Poor agent attendance or high attrition will impact expected coverage. Poor quality or agent errors across a varied labor pool will impact collection results and pose compliance risks. Cultural bias or unneutralized accents of offshore agents have been shown to result in lower contacts and lower average commitments than more expensive on-shore agents.
If you are outsourcing to an agent-intensive provider, make sure you understand what drives the agent incentive plan. Agents interested in making incentives don’t always have your customers’ best interests in mind.
With more than 1 million consumer accounts now managed through the intelligent, client-branded product, results show 40% more effective than leading “call and collect” vendors
LENEXA, Kan., Jan. 25, 2022 — TrueAccord Corporation, a debt collection company offering machine learning-powered digital recovery solutions, today announced results following the September 2021 rollout of Retain, the client-branded product that addresses early-stage recovery challenges for organizations with customers with delinquent accounts. TrueAccord Retain is now being used by creditors to manage more than 1 million consumer accounts and has shown to be 40 percent more effective at repayment than traditional “call and collect” debt collection vendors.
TrueAccord Retain, which harnesses digital technology and machine learning to deliver a personalized, effective early-stage recovery strategy, significantly outperformed three traditional “call and collect” agencies across several of an anonymous client’s portfolios. Relative to the best-performing “call and collect” vendor for each product portfolio, TrueAccord Retain drove a 24 percent improvement in roll rate, a 28 percent improvement in early-stage gross flow through rate and a 40 percent improvement in late-stage gross flow through rate*.
“With more than 1 million consumer accounts now being managed through Retain, we’re able to see the robust results of the product on improving early-stage delinquencies for our clients,” said Mark Ravanesi, CEO of TrueAccord Corp. “The results of our client’s evaluation were unambiguous: Retain’s machine learning-powered, digital-first approach resonated with consumers and drove significant growth for the early-stage recovery business. With a lingering worker shortage, especially in the call center space, we expect these performance numbers to continue to grow as more consumers are brought into the Retain ecosystem in 2022.”
Powered by TrueAccord’s industry-leading tech stack, key benefits of Retain include a simple, intuitive and effortless-to-use digital platform leading to great user experience, constant A/B testing and optimization to reduce friction and boost conversion rate, infinite scalability, and second-to-none channel deliverability. Retain implements e-commerce-based innovations like the focus on digital experience and outreach, machine learning-based personalization, and deliverability at massive scale for early-stage use.
To learn more about TrueAccord and its digital-first recovery solutions, visit www.TrueAccord.com and follow @TrueAccord on Twitter and LinkedIn.
*This data comes from an anonymous client’s evaluation of performance of different delinquency approaches side-by-side. The client randomly assigned credit and retail card accounts to TrueAccord Retain and the other vendors. Key success metrics included roll rate, or the percentage of dollars that became progressively delinquent, and gross flow through rate, or the percentage of dollars that flowed from one delinquency category across multiple subsequent categories.
About TrueAccord
TrueAccord is the intelligent, digital-first collection and recovery company that leaders across industries trust to drive breakthrough results while delivering a superior consumer experience. TrueAccord pioneered the industry’s only adaptive intelligence: a patented machine learning engine, powered by engagement data from over 16 million consumer journeys, that dynamically personalizes every facet of the consumer experience – from channel to message to plan type and more – in real-time. Combined with code-based compliance and a self-serve digital experience, TrueAccord delivers liquidation and recovery rates 50-80% higher than industry benchmarks. The TrueAccord product suite includes Retain, an early-stage recovery solution, and Recover, a full-service debt collection platform.
Collections-as-a-Service offering is seamlessly integrated to service customer debt accounts while delivering consumer-friendly, digital-first experiences
LENEXA, Kan., Jan. 5, 2022 — TrueAccord Corporation, a debt collection company offering ML-powered digital recovery solutions, today announced a partnership with Synapse as an expansion of its Collections-as-a-Service offering. The partnership will bring the best-in-class collection and recovery capabilities of TrueAccord to Synapse’s fintech partners and customer base, integrating collections into the customer-centric fintech ecosystem.
Given the rapid growth in fintech lending and banking-as-a-service (BaaS) and the steady rise in delinquencies, consumers are expected to fall behind on their payments and require assistance to repay their debts. Synapse, a BaaS platform that provides the infrastructure and leverages APIs to enable companies to quickly build and launch best-in-class financial services, selected TrueAccord to join their growing tech stack of fintech partners with similar approaches to financial services and customer experience to address the need for debt collection when it arises.
“We chose to partner with TrueAccord to add debt repayment services to Synapse’s BaaS ecosystem, because it aligns with consumer preference for a frictionless, digital-first financial services experience, especially when they fall behind,” said Sankaet Pathak, Founder & CEO of Synapse. “We want to ensure our customers have a good experience across all aspects of their financial journey, and providing that in collections is just as important for customer retention as it is in origination and servicing.”
Through an API integration, TrueAccord’s Recover debt collection solution will service charged-off debt accrued through Synapse’s lending platform. This will expand the Synapse fintech suite to follow a customer from loan origination to application and all the way through to collections, if needed. Additionally, TrueAccord’s Retain solution for early-stage delinquencies will be available on a referral-basis to the fintech partners in the Synapse ecosystem as an option to help get customers back on track with payments before being sent to collections.
“As a fintech company itself, TrueAccord knows the fintech business and customer better than most, especially in debt collection,” said Mark Ravanesi, CEO of TrueAccord Corp. “We speak the fintech language of consumer communication preferences, data and machine learning-driven technology, and no credit bureau reporting, offering customers a streamlined and hassle-free way to settle their debts and get back on track with their finances.”
With open banking on the rise, more companies will look for ways to incorporate collections into their service offerings. TrueAccord’s industry-leading Collections-as-a-Service product will enable fintech innovators to scale their businesses and offer best-in-class recovery with a customer-centric approach.
To learn more about TrueAccord, its API and built-in collections solutions, click here and follow @TrueAccord on Twitter and LinkedIn.
About TrueAccord
TrueAccord is the intelligent, digital-first collection and recovery company that leaders across industries trust to drive breakthrough results while delivering a superior consumer experience. TrueAccord pioneered the industry’s only adaptive intelligence: a patented machine learning engine, powered by engagement data from over 16 million consumer journeys, that dynamically personalizes every facet of the consumer experience – from channel to message to plan type and more – in real-time. Combined with code-based compliance and a self-serve digital experience, TrueAccord delivers liquidation and recovery rates 50-80% higher than industry benchmarks. The TrueAccord product suite includes Retain, an early-stage recovery solution, and Recover, a full-service debt collection platform.
TrueAccord’s Chief Product Officer, Laura Marino, was recently featured in the New Standard in Debt Collection panel as part of the Beyond Digital: The Next Era in Collections summit. As a civil engineer turned product management executive, Laura has a unique viewpoint on the evolution of machine learning in software across a variety of industries. In this blog post, Laura shares her perspective on machine learning at TrueAccord and in collections, in general.
At TrueAccord, we know that consumers prefer digital channels and self-service. We also know that just providing the digital channels is not enough. To truly engage with consumers we need to help them throughout the journey. This is where machine learning comes in.
What is machine learning?
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In the context of collections, and specifically in the context of our consumer-centric approach to collections, machine learning is a wonderful tool to personalize the experience for each consumer, effectively engage with each of them, and ultimately help resolve their debt.
There has been so much hype around machine learning, but often companies that claim to do ML are really using fixed rules or heuristics (if a consumer does X, then do Y) without including any of the automatic learning and improvement. Or they may be using ML for a very specific, very limited scope – like automating some consumer support responses. The reason that leveraging ML is so difficult for something as complex as collections and recovery is that it requires a lot of expertise in data science and behavioral science, it requires a lot of user research, and it requires a lot of data. This is not something that a company can decide to start doing overnight as an add-on.
How does TrueAccord apply machine learning to debt collection?
TrueAccord is leveraging machine learning and behavioral science throughout the entire journey, from initial engagement all the way to resolution. We were built specifically around the hypothesis that focusing on machine learning-driven, digital-first experiences was the way to transform debt collections. We have been doing this since 2013, and we have orders of magnitude more data than anyone else. Just to give you an idea: we send millions of emails per day, and hundreds of thousands of text messages per week and our ML engine learns from every open, every click, every action on our website, and every interaction with our call center agents. Because of all of this, we have something that is very hard for anyone to imitate.
Unlike traditional collections, we do not use demographic data like age, zip code, or creditworthiness to personalize the experience. Instead, we use engagement data about how the consumer responds at every step in the process.
We have handled debts for over 24 million consumers and we have collected data about each individual interaction with those consumers. That wealth of data, combined with our ongoing user research is behind the ability of Heartbeat (our fully automated and reactive decision engine) to personalize the experience for each consumer. We’ve seen this data-driven machine learning customer-centric approach lead to increased customer satisfaction, better repayment rates, and lower complaint rates.
Machine learning is used to personalize and optimize every step of the customer journey. The first thing we need to do is to effectively engage with the consumer. For that we have several models:
Cadence optimizer: determines the right cadence to communicate with each consumer about their debt. Specifically, it determines which day to send the next communication. We don’t have a fixed rule that says “send an email every x days.” Our decision engine decides it dynamically based on the type of debt, the consumer behavior, and where they are in the process.
Send time optimizer: determines when during that day, communication should go out. A working mother who is busy with her kids in the morning and in the evening is more likely to check her messages in the middle of the day during her lunch break. A construction worker has a very early start to their day, may prefer to check messages at the end of the day. We want our consumers to receive our communications during their preferred times so that they are at the top of their inbox and not buried under 50 other emails. Reaching people at the right time of day has a big impact. Due to our send time optimizer, we saw a 23% increase in liquidation for certain types of debts.
Email content rater: we also want to make sure that the tone of our communication is one that will best resonate with a specific consumer. For each piece of content we send out, our content team has created multiple versions with different voices, ranging from very empathetic to more ‘to the point’ because different people respond to different styles. Heartbeat chooses which one to send based on what it has learned from the behavior of each consumer.
After engaging the consumer with the right cadence, timing, and content we want to make sure that they commit to a payment plan and stick to it until their debt is resolved. For that, we havemachine learning models that determine the best combination of discount and length of payment plans to offer to each consumer. The options that the consumer sees when they get to the payment plan page are tailored to them based on what Heartbeat believes will work best. The consumers can build their own plan but, if we can proactively offer options that work, we make it easier.
We also have a ‘payment plan breakage model’ that helps us identify consumers who are at risk of not making a payment so that we can proactively reach out to them and give them options. With this we were able to increase the resolution rate among customers at risk by 35%.
What do customers think about TrueAccord’s model?
We have a lot of very positive feedback from our consumers which I attribute very much to our machine learning capabilities. It is one of the things that I think is so exciting for everybody who works at TrueAccord. We consistently get messages saying, “Thank you for making it so easy. Thank you for allowing me to do it via digital channels without having to talk to anybody.” And then when people call with questions, our call center knows that they’re there to help. People definitely respond very positively to the approach we’re taking to collections.
This content originally appeared as part of the Beyond Digital: The Next Era in Collections summit. Watch the entire summit here.
TrueAccord is a machine-learning and Al-driven 3rd-party debt collection company that is reinventing debt collection. We make debt collection empathetic and customer-focused and deliver a great user experience.
Our digital-first approach to debt collection creates a cycle of collections growth:
1. Improve the perception of the industry
2. Provide a personalized experience
3. Build brand equity and collect