Curinos at CBA LIVE 2026 – 7 Takeaways

Consumer Bankers Association hosted its 17th annual CBA LIVE 2026, in San Diego March 30 – April 1, where it encouraged its 1,800 participants to “Make Headway”—use ever-accelerating and empowering technology to learn new trends, improve business strategies and better serve customers. AI was certainly front and center and, with it, the cautionary reminder that a customer’s trust is the industry’s most valuable asset. Maintaining the latter while embracing the former, especially with the heightened potential for noncompliance and fraud, was a recurring theme. The conference was the perfect environment for Curinos to stress the need for AI-enabled decision intelligence, which unlike agentic AI, determines optimal strategies under uncertainty, testing real decisions against real outcomes using reinforming learning. It was also the perfect opportunity for the company to introduce the first of its five modules of Curinos One. Curinos One is a system that surfaces specific recommended actions from our proprietary data across 4,000+ institutions and first- and third-party signals and then learns from the outcomes so the next decision is better than the last—continuously, not episodically. Curinos also sponsored or co-sponsored three in-depth sessions. Here are several takeaways from those sessions, and from other presentations of note.

1. “Curinos One: Capture” has been designed to remove coordination friction.  

Banks are under pressure to grow customers and deposits while facing longer payoff times, rising acquisition costs and declining efficiency. What we consistently see isn’t a lack of data or models but coordination friction: disconnected teams, fragmented decisions and a widening gap between insight and action, all within the constraints of a regulated environment. Curinos One: Capture was designed to remove that friction. It reframes acquisition as a governed, end-to-end decision process, starting with a clear growth objective, evaluating market and audience opportunities, acting within human-defined rules and guardrails and continuously learning from outcomes. Agentic AI plays a critical role, not by replacing people but by orchestrating complex analysis, surfacing tradeoffs and making every recommendation explainable and auditable.

We chose acquisition as the starting point for our Curinos One decision intelligence platform because it’s where strategy, analytics, execution and compliance collide most critically, and where better coordination creates measurable impact. When teams can predict outcomes before spending, compare scenarios with confidence and adapt based on actual performance, growth becomes more efficient and more durable.

2. Portfolio deposit betas will improve but remain below rising-rate betas.  For close to 15 years after the Great Financial Crisis, deposit rates were low and stable, which made deposit volumes predictable. Then, pandemic-induced inflation sent rates upward, where they plateaued and are now receding, albeit slowly. But while acquisition betas are matching those of the rising-rate environment, portfolio betas are lagging. That means portfolio rates are declining more gradually than acquisition rates, and portfolio betas are going down more slowly than at the rate at which they first went up. The implication is that interest expense is likely to remain stubbornly elevated. Not only are acquisition costs higher than ever, high acquisition rates are putting pressure on the back book, where customers may be inclined to either expect a higher rate or shop for it. Anyone thinking that portfolio betas will behave as they did while rates were rising is likely to be disappointed.
Branch Bank Consumer Portfolio Rates (All Products Interest Expense)

Source(s): Curinos Consumer Deposit Analyzer, FRED | Note(s): Betas calculated against the upper limit of the target Fed Funds range. Simple averages displayed. Traditional FIs only. Consumer rates only.

3. The mass market is an opportunity hiding in plain sight.  The affluent segment is where most of the money is, so it’s the greatest opportunity, right? Well, maybe not. Yes, mass affluent customers bring in as much as 100x the initial balances of those in the mass market, but often that’s the high water mark. After five years, their balances have declined by a third. That’s because the mass affluent tend to pay attention to rate, so they’re more inclined to shop and leave. Mass market customers, on the other hand, tend to stick around and grow. After five years, their balances have increased more than 4x. And because there are many more of them, after five years it takes only 12 mass market customers, not 100, to match the deposit balance of an average mass affluent customer. Many in the segment are also likely to graduate to the ranks of mass affluent, and in the meantime they’re good cross-sell prospects for other services, such as auto loans and credit cards. The mass market potential has always been there, it just needs time to reveal itself.
Average Customer Balance Change
Over Time, by Segment

Source(s): Curinos Deposit Analyzer; Curinos Distribution Analyzer; Curinos Analysis
Note(s): 1. Customer base established as those who are with the bank at three months on book (does not account for attrition in first three months) 2. Average balance indexed to customer balances at three months on book. Based on consumer customers who entered through checking | Mass Market defined as <$10K deposit balances at M3, Mass Affluent >$10K deposit balances at M3 | Proforma view assumes 3MOB starting dep. balance of $10K (MA) and $1K (MM)

4. The digital conundrum: high customer preference, low balances.   As comfort with digital and remote delivery increases, so does the preference to open accounts digitally—up 10 percentage points (16%) in five years. In the same time period, the preference for opening an account at the branch declined by five points (32%). But despite the migration toward digital, no one seems yet to have cracked the code on quality. After a month, relationship balances originated at the branch are almost 9x higher than those originated digitally. After six months, they’re 6.6x higher. And fully 5% of digitally originated accounts don’t get funded at all, which reflects in part the ongoing perils of fraud. So what’s the answer? Focus on both, but be more intelligent about it—decisionally intelligent, to be precise. When properly applied, decision intelligence has been shown to identify prospects that are 1.5x – 2x more likely to initiate a new product​, to improve trailing 6-month retention​ by 5% and increase total deposits by 2.5%. For a $50 billion bank, that deposit lift means an additional $1.25 billion in balances—real money when growth is as stubborn as it is these days, whatever the origination channel.
Relationship Balances by
Origination Channel2
Preferred Way to Open
New Checking Account – Trended

Source(s): Curinos Analysis | 1Curinos Marketing Analyzer | 2Curinos Digital Benchmarking | 3Curinos Deposit Analyzer

5. In home equityborrowers are looking for speed, simplicity and transparency.Non-bank home equity lenders close nearly 90% of applications in less than 30 days. Banks close about a third in that time frame, and credit unions even fewer. Yet borrowers whose loans are funded in less than 15 days are almost 2.5x more likely to draw on their line compared to those who have to wait more than 30 days. Faster fulfillment captures “need-it-now” borrowers who generate immediate balance and revenue. Slower processes tend to attract customers with lower urgency and lower utilization. Admittedly, most depository institutions differ from fintechs structurally, and they need to appeal to a broader swath of potential borrowers. So in the absence of being able to compress the time from application to funding, these FIs may be able to set expectations among their customers, where the trust level is already high. That means alerting them to what documentation is needed upfront or even creating fast-track exceptions. If potential borrowers who already have a good relationship know what to expect and are well informed about the probable outcome, they’re more likely to be more forgiving of the time it takes to close.
Home Equity Application to Booking Cycle Time Range Distribution (2025 Summary)
6. The HELOC opportunity remains strong even as the locked-in population is shrinking.More than two-thirds of first-mortgage holders nationwide are at a rate of less than 4.5%. That means a sizable percentage of them are more than happy to stay put, and maybe undertake home improvements, rather than moving and taking on a first mortgage at today’s rates north of 6%. That’s been a boon in recent years for HELOCs. But as rates trend downward, however stubbornly, the set of homeowners who are locked in is eroding. Still, Curinos estimates that in a realistic scenario (illustrated below), first-mortgage rates would need to fall to below 4.5% to make a refi cash-out more attractive than supplementing a first mortgage with a HELOC, even as rates have softened into the 6% range. That spells continued upside for HELOCs in the coming year, despite the growing number of locked-in homeowners who might be eager to move.
First Mortgage Rate Distribution
Refi-Cashout vs. HELOC Supplement – Illustrative Example

Source: LendersBenchmark FM Originations, FHFA

7. Quick takesDecision intelligence, behavioral scienceconsumer sentiment, and more.  

The value of decision intelligence. Marketing optimizes for engagement. Pricing optimizes for margin. Treasury optimizes for funding costs. AI agents can be deployed across each function in the chain, but the chain will still produce suboptimal results. That’s because the decisions feeding the agents are disconnected from each other and from any durable measure of customer value. That’s Curinos’ Sarah Welch’s observation in her article in the Spring issue of Curinos Review. Decision intelligence systems, on the other hand, are specifically designed to close this loop, connecting upstream decisions (where to grow, which customers to prioritize, how to price) to downstream outcomes (did they fund, did they stay, what were they worth) and learning which decisions produce better results over time.

Money is emotional. Jeff Kreisler, Head of Behavioral Science at JPMorganChase, reminded us that you can’t change human behavior, but you can understand it and empathize. Keep in mind that money is emotional. An expenditure of the same dollar amount from one mental bucket may seem extravagant coming from another. The pain of loss is greater than the pleasure of gain. Present bias often outweighs future considerations. To maintain trust, consider the human factor. What would you do if the customer you’re talking to were your best friend (whom you may treat better than even yourself)?

Best of times and worst? The economy is still growing, but wages and income not so much, especially on the downward slope of the K economy. Unemployment remains low, but good luck finding a job you want. AI is producing productivity gains, but white collar recession is imminent and may last years. Boomers are throwing a retirement party while Gen Z is feeling the affordability squeeze. These are a few contradictory trends of the 10 trends delivered in 10 minutes by Experian’s chief economist Joseph Mayans.

Consumer confidence, such as it is. Because consumer confidence, or lack thereof, is a leading indicator, what’s ahead for the economy this year may be a little rocky. According to the University of Michigan’s Surveys of Consumers, consumer sentiment fell back 6% in March to its lowest level since December, as reported by the surveys’ director Joanne Hsu. The short-run economic outlook plunged 14%, and year-ahead expected personal finances sank 10%. That may put a crimp in spending and in financing big-ticket items. After a pre-pandemic decade of negligible inflation and low rates, consumers are still coming to grips with the persistently high cost of borrowing.

Empowering the front lines with AI. Customer-facing representatives face a wide range of customers, so they need to be ready for anything. But fully six in 10 of them struggle to come up with the right answers when facing those customers. The information is there, somewhere, but retrieving it in the moment is another matter. AI can help. Multi-agent orchestration serving up the right actions at the right time is one of the most visible examples of AI’s power in action. The result? According to Greg Blausey and Anu Agarwal of Salesforce, the representative feels more confident, the customer feels validated and their trust in the institution, and the rep, strengthens.

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