- For decades, deposit inertia was one of banking's most reliable and least discussed competitive advantages. Customers stayed not because they were delighted, but because leaving seemed hard and most of them didn’t want to think about it.
- That advantage is eroding. Digital experiences have lowered switching friction. Competition for deposits has intensified dramatically—disruptors are poaching before traditional providers are aware of what’s happening. Stablecoins and emerging payment rails may threaten the funding physical banks have relied on for generations. And agentic AI may provide the possibility of shopping for customers on their behalf.
- The institutions that recognize this shift and respond with a connected operating model that embeds intelligence across a variety of decisions will be best positioned to defend and grow their deposit franchises through what comes next.
For most of modern banking history, deposit inertia has been a reliable source of value for banks. Customers opened accounts, linked their payroll and bill payments, built up transaction histories and stayed put—not necessarily out of loyalty, but because of friction. The cost, complexity and nuisance of switching, even to a meaningfully better offer, was high enough that most customers simply didn’t bother.
Banks benefited from this inertia enormously. Curinos has estimated that, historically, as much as a third of shareholder value has depended on the robustness and health of a bank’s savings balances. And the traditional banking operating model centered around this belief—that deposit pricing strategies, product architectures and customer engagement models were all built, at least in part, on the assumption that a certain baseline of balances would simply remain in place. Retention was less a discipline than a default expectation.
That assumption may no longer be safe.
It’s worth acknowledging that deposit inertia has been declared dead before. The introduction of real-time payments, online services that maximize rates earned, one-click switching and even the rise of high-yield online savings accounts were each heralded as the moment customers would finally move en masse. But each time, aggregate churn remained contained. Banks breathed a collective sigh of relief, and inertia endured.
So why raise the question again now? Because the forces converging today are different in both nature and scale, and because even if inertia doesn’t disappear entirely, where it’s headed is clear enough to demand a strategic response.
Four Forces Behind Eroding Inertia
The shift is not the result of a single cause but of several converging forces. Collectively, they’re dismantling the friction that once kept deposits in place—though how far and how fast this disruption occurs remains an open question.
The first is the dramatic improvement in digital onboarding experiences. A decade ago, switching primary banking relationships required visiting a branch, completing paperwork and manually redirecting every direct deposit and linked payment. Today, digital onboarding at most major institutions takes minutes. Direct deposit switching tools are increasingly automated. The mechanical barriers to moving deposits have fallen substantially. This has contributed to proliferation across banks and increased wallet fragmentation. Fully 50% of all switchers had 4+ checking relationships in 2024 compared with just 7% five years prior, in 2019 (Figure 1).
Figure 1: Increase in Wallet Fragmentation
Source(s): Curinos Customer Knowledge | 2020-2025 US Shopper Survey
The second is intensifying deposit competition. The rate environment of the past several years drew unprecedented attention to deposit pricing across the industry, and that attention has not fully receded. Nonbanks, direct banks and fintechs have used competitive rate offers and seamless digital experiences to attract balances that would once have remained inert. The deposit market, particularly for higher-balance customers, has never been more actively contested. This plays out in Curinos’ proprietary data: balance churn in 2026 is ~25% greater than it was in 2019 (Figure 2), and acquisition rate as a % of Fed Funds was 5 pp greater in January 2026 than in January 2019 (Figure 3). We expect this trend to accelerate with the help of AI agents that will actively shop on behalf of consumers for the best rate.
The third and most structurally significant—though also most uncertain in its ultimate impact—is the emergence of stablecoins and new payment rails that threaten the funding physics banks have relied on for decades. Deposit stickiness has always been tied directly to payments friction—a customer’s deposits stayed at their primary institution because that’s where their payments originated and landed. Tokenization, stablecoins and programmable money have the potential to sever that link. Whether that potential is fully realized, and on what timeline, remains uncertain. But the direction and potential magnitude is worth taking seriously: Curinos has estimated that over $1T in checking deposits could be at risk due to these forces, potentially eroding ~50 bp in margin, as traditional bank portfolios remix to more expensive and flightier deposits. (See “The (Multi-)Trillion Dollar Question: Will Stablecoin Decimate the Deposit Market?” from Curinos Review, Fall 2025.) If value can move frictionlessly across rails that are independent of a customer’s primary banking relationship, the deposit is no longer anchored by the payment. It becomes, in the most fundamental sense, portable.
The fourth force is the growing sophistication of nonbanks in identifying and winning customers earlier in the financial journey. Nonbanks are reaching customers at moments of financial decision—a new account, a rate comparison, a life event—long before a traditional bank enters the consideration set. By the time a bank recognizes a customer is at risk, a competitor may have already begun building the relationship. Indeed, we see this play out in our research: fintechs capture nearly 40% of new banking relationships today.
Figure 2: Median MoM Attrition as a % of Total Balances
Annualized | 3M Rolling Average
Figure 3: Acquisition Rate as % of Fed Funds
Source: Curinos Consumer Deposit Analyzer. | Notes: Consumer balances only. Traditional banks only. Simple averages displayed
The Limits of the Rate Sheet
The instinctive response to deposit competition is pricing. And pricing matters—a bank that’s consistently uncompetitive on rate will lose price-sensitive balances, which can play an important role in overall balance sheet funding. But the rate sheet has significant limitations as a primary defense against the forces described above.
First, rate competition is inefficient and margin-dilutive. According to our proprietary data, bank deposit promotions typically capture just 25% in new money, with the rest cannibalized from lower rates. As a result, the marginal cost of funds on a broad-based promotion will often be 2x the promotional rate itself. That’s because rate-based strategies tend to attract the most price-sensitive customers both new to bank and existing—precisely those most likely to leave when a better offer appears. This plays out in our data: banks that rely more aggressively on broad-based rates see nearly two-thirds higher churn rates compared with those that don’t (Figure 4). Rate alone doesn’t build the relationship depth that sustains durable retention.
Second, rate response by definition is reactive. By the time a bank identifies that a customer is at risk and deploys a retention rate offer, the decision to switch may already be underway. Retention offers made late in the attrition cycle are both more expensive and less effective than proactive engagement made earlier.
Third, and most important, rate alone can’t address the structural forces eroding inertia. A better rate doesn’t address the challenge of switching friction when friction is already low. It doesn’t counter the appeal of a superior digital experience. It doesn’t address the early-journey positioning advantage that nonbanks are building through technological advantage. And it doesn’t protect against the longer-term threat that payment rail disintermediation presents.
The rate sheet will continue to play an important role in bank pricing strategy for the foreseeable future, but it is no longer sufficient for developing a winning deposit strategy. What’s required is a fundamentally different operating model—one that treats deposit strategy as a holistic decision system.
Figure 4: Quartiled MoM Attrition as a % of Total Balances
Annualized | 3M Rolling Average | Jan’ 26
Source: Curinos Consumer Deposit Analyzer. | Notes: Consumer balances only. Traditional banks only. Simple averages displayed. Bank metrics have been quartiled by attrition – those with the highest attrition are in the bottom quartile, while thosewith the least attrition are in the top quartile
Deposit Strategy as a Decision System
A decision intelligence operating model approaches deposit retention and growth differently from a rate-sheet model in three fundamental ways.
First, it operates on signal, not on reaction. Rather than waiting for a customer to exhibit attrition behaviors before responding, a decision intelligence system continuously monitors behavioral, transactional and market signals that predict attrition risk before it becomes visible. Using both first- and third-party data, it identifies which customers are most likely to reduce balances or switch relationships, which are most likely to respond to deepening efforts and which represent the highest long-term value for the institution. Perhaps most important, it ties these insights to prescribed actions at a scale and speed no human team can match.
Second, a decision intelligence model optimizes for customer lifetime value, not for point-in-time retention. A rate offer that keeps a customer for a quarter but does nothing to build a sustained, deep relationship is a cost, not a solution. A decision intelligence system clearly connects retention actions to downstream outcomes—Did the customer stay? Did balances grow? Did the relationship deepen?—and learns which interventions produce durable results versus those that simply delay an inevitable departure.
Third, decision intelligence treats the deposit relationship as inseparable from the broader customer relationship. Deposit retention is not a product issue—it’s a relationship issue. Customers with deeper, more integrated relationships are meaningfully more resistant to competitive offers, regardless of rate. A decision intelligence operating model identifies the dimensions of relationship depth that most strongly predict deposit retention and deploys resources to build it—across product holdings, engagement frequency, channel preference and life stage.
What This Looks Like in Practice
Augmenting rate sheet pricing with a decision system is more than a technology purchase—it’s an organizational and strategic shift. It requires connecting data that currently sit in separate systems, aligning teams that currently optimize for separate metrics and building measurement infrastructure that tracks decision quality over time rather than just campaign response in the short term.
The institutions making this shift are seeing meaningful results. In comparable transformation efforts, Curinos clients have achieved significant improvements in acquisition efficiency, deposit retention and relationship depth—driven not by more aggressive rate offers but by better decisions about who to engage, when, with what message and through which channel.
The direction is clear: Deposit inertia is at risk of erosion and showing no sign of reversing. Whether the endpoint is a fundamental restructuring of deposit economics or a more gradual shift in competitive dynamics, the strategic implication is the same: relying on inertia as a retention mechanism is a bet that is getting harder to justify.
The institutions that respond by building a decision intelligence operating model now will be compounding their advantage. The ones that sit back and wait will find it increasingly ineffective, and expensive, to respond to forces that will only intensify.
Decision & Action Takeaways
Decision to be Made | How to shift deposit strategy from a rate sheet model to a decision intelligence operating model that identifies, learns from and acts on customer signals—before inertia erodes further and competitive intensity increases. |
How It Affects Total Customer Value | As that inertia diminishes, the cost of defending deposits through rate alone will rise, margins will compress and FIs will be left with the most price-sensitive, and volatile, customers. A decision intelligence operating model replaces inertia with a proactive, signal-driven retention and deepening capability that builds durable relationship value rather than buying short-term balance stability. |
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