Banking Customer Experience Trends in 2026: What Regional Banks and Credit Unions Need to Know
What are the biggest banking customer experience trends in 2026?
Banking customer experience trends in 2026 are the shifts in how retail customers choose, use, and judge their banks: AI assistants handling everyday servicing, personalization built on account data, smaller and more advisory branches, a reset on fees, fraud response as a loyalty driver, fierce competition for primary deposits, fintech pressure, and a move from tracking scores to understanding the reasons behind them. For regional banks and credit unions, the common thread is that customers are quietly spreading their money across institutions, and the banks that keep primacy are the ones that hear why before the balance moves.
TL;DR
Retail bank satisfaction is flat-to-fragile in 2026. J.D. Power's 2026 U.S. Retail Banking Satisfaction Study put overall satisfaction at 657 on a 1,000-point scale (up just 2 points) while flagging sharp second-half declines across phone, branch, online, and automated channels. The same study found that 20% of customers moved money away from their primary bank in the past three months, up from 17%, and that the average customer keeps deposit accounts at three institutions. Bank of America's Erica has passed 3 billion client interactions, which makes AI servicing the baseline, not the differentiator. Fraud is now a CX problem: the FTC recorded $15.9 billion in reported consumer fraud losses in 2025, and Cornerstone Advisors found roughly 40% of banks and 50% of credit unions saw higher fraud losses. Mobile apps are the primary channel for 54% of customers, according to the American Bankers Association. The trend that matters most for regional banks is the last one: measuring why customers drift, not just whether they are satisfied.
Who this analysis is for
This roundup is written for CX leaders, digital banking heads, retail line-of-business owners, and member experience teams at regional banks, community banks, and credit unions. Megabanks appear here as reference points, because they set customer expectations, but the recommendations are sized for institutions that cannot spend nine figures a year on technology. If you are building or rebuilding a CX program, the companion piece on how to improve customer experience in banking turns these trends into a step-by-step playbook, and our overview of banking and credit union customer experience shows how Perspective AI fits a bank's listening stack.
The 8 customer experience trends in banking at a glance
The eight customer experience trends in banking cluster into three groups: how service is delivered (AI, personalization, branches), what erodes trust (fees, fraud), and what decides the relationship (primacy, fintech competition, measurement).
Trend 1: AI assistants become the default servicing layer
AI assistants now handle the bulk of routine banking servicing at the largest U.S. banks, and customers expect the same from regional institutions. Bank of America reports that its virtual assistant Erica has passed 3 billion client interactions since its 2018 launch, averaging more than 58 million interactions a month, with nearly 50 million users and more than 98% of users finding the information they need. Wells Fargo announced in March 2026 that its Fargo assistant had passed 1 billion interactions in under three years, including more than 160 million interactions from Spanish-speaking customers.
Why it matters: When the megabank app answers "why was I charged this?" in seconds, a regional bank's 12-minute hold queue feels like a policy choice. The gap is not just speed. It is that the assistant becomes the place customers explain what they need.
What to do about it: Community banks do not need to build an Erica. Cornerstone Advisors' What's Going On in Banking 2026 study found that 49% of banks and 59% of credit unions with $250 million to $50 billion in assets have already deployed generative AI. The question for 2026 is which AI suites for community banks customer experience actually improve, and which only deflect calls. Our breakdown of the two kinds of customer experience chatbots explains the difference between bots that answer and bots that listen.
Trend 2: Banks' AI customer experience personalization moves from offers to intent
Banks' AI customer experience personalization is shifting from pushing product offers toward anticipating what a customer is trying to accomplish. Erica alone has delivered more than 1.7 billion proactive, personalized insights, from balance-trend alerts to rewards eligibility notices. McKinsey's analysis of the state of retail banking in the era of digital and AI names hyper-personalization as one of three levers for deepening primary relationships, alongside mobile-first distribution and relationship-based rewards.
Why it matters: Transaction data tells you a customer moved $8,000 to an outside brokerage. It doesn't tell you whether they're saving for a house, chasing yield, or angry about a fee. Personalization built only on behavioral data guesses at intent, and wrong guesses read as surveillance.
What to do about it: Pair behavioral triggers with a short conversation. When a large outbound transfer happens, ask what the customer is planning. A bank-switching research interview captures the "why now" that a propensity model can only infer.
Trend 3: Branch transformation from transactions to advice
Branches are shrinking in transaction volume but growing in importance for advice, problem resolution, and complex products. The American Bankers Association's 2025 consumer survey with Morning Consult found that 54% of bank customers use mobile apps as their top banking channel, compared with 22% for online banking on a computer and just 9% for branch visits. Even among baby boomers, mobile apps (38%) now lead, with only 12% visiting branches most often.
Why it matters: That 9% of customers is disproportionately valuable: small business owners, mortgage applicants, people resolving a problem the app couldn't fix. The branch visit is often a symptom of a digital failure, which makes branch feedback one of the richest sources of digital-experience insight a bank has.
What to do about it: Before consolidating locations, interview affected customers. A branch closure research study shows who will follow you to digital, who will follow a competitor's branch, and what would keep them. Our earlier post on conversational feedback for branch and digital banking covers how to run listening across both channels.
Trend 4: The fee and overdraft reset
Fee policy has become one of the most visible customer experience decisions a bank makes. The Consumer Financial Protection Bureau's tracking of overdraft and NSF fee revenue trends found 2023 revenue down more than 50% versus pre-pandemic levels, an estimated savings to consumers of more than $6 billion a year, and found that the vast majority of NSF fees had been eliminated. In 2025, Congress used the Congressional Review Act to repeal the CFPB's $5 overdraft rule, so the cap never took effect.
Why it matters: With the federal cap gone, fee strategy is back in each bank's hands, and customers will judge it on fairness. Huntington Bancshares built a brand on this with its "Fair Play" approach; our case study on how Huntington built a customer experience brand around fair play banking shows how fee design became a growth story rather than a revenue concession.
What to do about it: Research any fee change before announcing it, not after the complaints arrive. A fee change research interview asks customers how they'd react, what they'd consider fair, and what would make them move money.
Trend 5: Fraud and scam handling as a loyalty driver
Fraud and scam response has become one of the moments that most decisively shapes how customers feel about their bank. The Federal Trade Commission told Congress that consumers reported $15.9 billion in fraud losses in 2025, up from just over $12 billion the year before, with imposter scams generating more than 1 million reports and over $3.5 billion in losses. Cornerstone Advisors found roughly 40% of banks and 50% of credit unions experienced higher fraud-related losses in 2025, and about three-quarters are raising fraud-prevention budgets.
Why it matters: A scam victim calls their bank at the worst moment of their financial year. Whether they're met with empathy and a clear process, or a script and a liability disclaimer, often decides whether the relationship survives. Fraud budgets typically go to detection; the experience of the victim after detection gets far less attention.
What to do about it: Listen to people who went through a dispute. A fraud and dispute experience survey run as a conversation captures what made them feel protected or abandoned, in their own words, while it's still fresh.
Trend 6: Deposit competition and the rise of soft switching
Deposit competition in 2026 shows up less as account closures and more as "soft switching," where customers keep the checking account but move their money elsewhere. J.D. Power's 2026 U.S. Retail Banking Satisfaction Study found that 20% of retail bank customers moved money away from their primary bank in the past three months, up from 17% a year earlier. The rate was highest among customers under 40 (23%), the financially healthy (24%), and affluent and mass-affluent customers (25%), exactly the segments regional banks most need to keep.
Why it matters: Traditional attrition metrics don't catch this. An account that stays open with a shrinking balance looks like a retained customer on a churn dashboard. Our guide on why accounts go dormant and how banks win them back covers the warning signs.
What to do about it: Treat balance migration as a churn event and ask about it. Our post on bank customer retention strategies that work in 2026 lays out the retention plays, and the dormant account research template gives you a ready interview for customers who've gone quiet.
Trend 7: Fintech and neobank pressure reshapes expectations
Fintechs and neobanks have changed the comparison set for every bank: customers now benchmark their bank against the best app on their phone, not against the bank down the street. J.D. Power's 2026 study found the average retail customer keeps deposit accounts at three different institutions, so the "other bank" is already installed.
Why it matters: Regional banks and credit unions will not win a feature race against well-funded app builders. They can win on relationship, local knowledge, and human help when something goes wrong, but only if they understand precisely which moments make customers reach for the other app. Our analysis of how credit unions compete with fintech on member experience goes deeper on this.
What to do about it: Study the app experience directly, including what customers use elsewhere and why. A mobile banking experience survey built as a conversation surfaces the gaps that app-store ratings don't explain. For institutions whose biggest leak is the front door, our look at why applicants quit digital account opening halfway is the place to start.
Trend 8: The measurement shift from NPS to the reasons behind it
The measurement trend in banking customer experience is a move from collecting scores to understanding the reasons behind them. J.D. Power's 2026 data shows why: problem-resolution satisfaction at national banks climbed 49 points to 587, while midsize banks fell 27 points to 548. A score tells a midsize bank that it's losing ground on problem resolution. It does not say which problems, in which channel, or what a resolved customer needed to hear.
Why it matters: Most bank surveys still end with a 0–10 scale and an optional comment box that few customers fill in. Transactional NPS helps locate the moment, as our post on transactional NPS in banking explains, but the "why" stays thin. The broader case is laid out in survey-based CX measurement vs conversational VoC.
What to do about it: Keep the score as a trigger, and add a conversation behind it. A bank transactional NPS survey paired with an AI follow-up asks detractors what happened, probes vague answers, and returns themes with verbatim quotes. That turns a 27-point decline into a list of fixable causes.
How leading banks are using AI in customer experience
Leading banks use AI in customer experience in three distinct ways: answering (servicing assistants), anticipating (proactive personalization), and increasingly listening (understanding customer intent at scale). The leading banks' customer experience innovation with AI is most visible in the first two.
- Bank of America (Erica): The most mature example. Beyond 3 billion client interactions, Bank of America extended Erica to Merrill and Private Bank clients (about 23 million interactions a year), to corporate clients through CashPro Chat, and to employees, where it cut IT service desk calls by 50%.
- Wells Fargo (Fargo): Passed 1 billion interactions in under three years, with strong Spanish-language adoption that signals how multilingual AI expands reach to underserved customers.
- Huntington Bancshares: Shows that leading-bank innovation is not only technical. Its fee-policy redesign made customer fairness a measurable brand position.
- Navy Federal Credit Union: The largest U.S. credit union competes on member relationship depth; our profile of what Navy Federal's member experience gets right covers where it leads and where it's exposed.
The pattern across these examples is that the "answering" layer is maturing fast, while the "listening" layer lags. Assistants resolve questions, but most banks still learn why customers are frustrated through the same quarterly survey they used in 2015. That's the opening for regional banks: AI for customer experience is only half done when it talks but doesn't learn.
What banks can learn from retail and hospitality
Banks can borrow two proven practices from retail and hospitality: listening to lapsed customers before they're gone, and treating loyalty programs as feedback channels rather than discount engines.
From retail: win-back research. Retailers have learned that a customer who stops buying rarely announces it, which is the same pattern as soft switching in banking. Leading retailers run structured conversations with lapsed shoppers to find whether the cause was price, experience, or a competitor's convenience. The playbook in The Retail Leader's Guide to AI Customer Experience lays out nine ready-to-run plays for lapsed customers and returns that map almost one-to-one onto dormant accounts and balance migration. Our sibling post on retail customer experience trends for 2026 shows how the same "why behind the drift" problem shows up on the shop floor.
From hospitality: loyalty listening. The best hotel brands treat every stay as a chance to learn what a guest values, then act on it before the next booking. Ritz-Carlton's service culture is built on noticing what guests don't say, as our piece on how Ritz-Carlton's Gold Standards hear what guests don't say explores. For banks, the parallel is the relationship review: instead of an annual product pitch, a short conversation about what changed in the customer's financial life. The Hotel Leader's Guide to AI Guest Experience includes a 90-day plan for loyalty-member listening that translates directly to a bank's preferred-rewards tier.
What regional banks should do first
Regional banks should start with the trend that costs them the most and is hardest to see: customers quietly moving money. A practical first 90 days looks like this:
- Pick one leaking moment. Choose from balance migration, account-opening abandonment, a recent fee change, or post-fraud experience. Don't start with "overall satisfaction."
- Set a trigger. Use a data event (a large outbound transfer, an abandoned application, a closed dispute) to invite customers into a short conversation within 48 hours.
- Replace the form with an interview. Run an AI-led conversation that asks what happened, follows up on vague answers, and captures the customer's own words. Avoid long multiple-choice surveys, which flatten exactly the nuance you need.
- Read the themes, not the averages. Group responses by cause and quote customers directly in leadership reviews.
- Close the loop and repeat. Fix one cause, tell affected customers, and re-run the same conversation 60 days later to measure whether the reason went away.
This is how Perspective AI is used by bank and credit union CX teams. The AI interviewer runs conversations in text or voice across 57 languages, auto-detecting each participant's language, with natural voice that responds in under a second and lets customers interrupt naturally. Results are analyzed automatically into themes with verbatim quotes, and teams can query their conversations from Claude and other AI assistants through the Perspective MCP. CX leaders can see how this fits their team on the page built for CX teams. Credit unions specifically can use our guide to improving your member experience score.
Frequently Asked Questions
What are the top customer experience trends in banking for 2026?
The top customer experience trends in banking for 2026 are AI servicing assistants, intent-based personalization, branch transformation, fee resets, fraud response as a loyalty driver, deposit competition, fintech pressure, and a shift from scores to reasons. J.D. Power's 2026 study shows satisfaction flat at 657 out of 1,000 while 20% of customers moved money away from their primary bank, which makes understanding the reasons behind drift the most urgent priority.
How are banks using AI to personalize customer experience?
Banks use AI to personalize customer experience by analyzing account activity to deliver proactive alerts, insights, and offers at the right moment. Bank of America's Erica has delivered more than 1.7 billion proactive insights, such as balance-trend alerts and rewards eligibility notices. The next step is pairing those behavioral signals with short AI-led conversations, so personalization reflects what customers are actually planning rather than what a model infers.
What is soft switching in banking?
Soft switching is when a customer keeps their account open at a bank but moves deposits or activity to another institution. J.D. Power's 2026 retail banking study found 20% of customers moved money away from their primary bank in three months, up from 17%. Because the account never closes, standard attrition reports miss it, which is why banks need to monitor balance migration and ask customers why it happened.
What digital transformation challenges affect banking customer experience?
The biggest digital transformation challenges affecting banking customer experience are fragmented channels, slow problem resolution, and limited insight into why customers struggle. Cornerstone Advisors found more than 80% of banks and credit unions plan to raise technology spending in 2026, yet many fall short on planned deployments. Banks that measure customer reasons, not just usage, can prioritize the digital fixes that actually reduce friction.
Can community banks and credit unions compete with megabanks on customer experience?
Community banks and credit unions can compete with megabanks on customer experience by winning on relationship depth, local knowledge, and human help when problems arise. They can't match megabank technology budgets, but they don't need to. Affordable AI tools now let smaller institutions run hundreds of customer conversations, learn exactly where they're losing deposits, and fix those moments faster than large banks can.
Banking customer experience trends: the bottom line
The banking customer experience trends of 2026 point in one direction: customers are spreading their money across more institutions, and they rarely tell their bank why. AI assistants, personalization, branch redesign, fee fairness, and fraud response all matter, but each depends on knowing what customers actually experience and intend. Regional banks and credit unions that build that understanding, through ongoing conversations rather than annual scorecards, will keep primacy while larger competitors chase feature parity.
Start with one leaking moment. Launch a bank customer experience study with Perspective AI, or adapt the bank customer experience survey template into a conversation, and learn why your customers are moving money before the next quarterly report shows it.
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