Customer Loyalty and Churn In Banking Statistics And Facts (2026)

Introduction

Customer Loyalty And Churn In Banking Statistics: Customer loyalty in banking refers to customers’ continued trust, repeated use, and long-term relationships with a bank. In contrast, churn in banking occurs when customers stop using a bank and switch to another provider. Customer Loyalty and Churn in Banking Statistics: Customer loyalty helps banks reduce churn rates and maintain profitability, as retaining existing customers is usually cheaper than acquiring new ones. For this reason, churn must be monitored regularly using customer data to identify those who have left, those who might leave soon, and to act on emerging early indicators.

This article also includes Information such as account transactions, mobile or internet banking use, complaint records, and survey feedback that can be used to determine churn levels, retention patterns, and customer lifetime value. All the above current information and data analyses are based on different insights.

Editor’s Choice

• According to a 2025 report published by ElectroIQ, the average churn rate for banks was 17.6%.
• Companies spent over USD 75 billion on loyalty management last year; 47% reported that the purpose of retention was to increase customer spending.
• Approximately 90% of customers interact with a brand when engagement is rewarded.
• Consumers were most willing to share data for discounts/coupons (91%), followed by loyalty points/rewards (89%) and exclusive access (83%).
• As of 2024, approximately 20% of retail banking customers either moved money to another institution or changed their primary bank/provider.
• Female customers have higher churn rates than male customers (11.4% vs. 9%), according to medium.com.
• As of 2205, inactive members left the bank far more often (13%) than active members.
• Quantzig’s churn analytics solution delivered substantial business gains by improving churn forecast accuracy by a factor of 2.
• In Financial Services, median retention was 81%, matching a median churn rate of 19%.
• According to TechnoTrenz, in 2025, the biggest loyalty factor was 24/7 mobile access, chosen by 68% of banking customers.

General Customer Loyalty And Churn In Banking Statistics

• A report by bloggingwizard.com indicates that repeat customers were 60-70% likely to convert, whereas new leads were 5–20% likely to convert.
• A 5% increase in retention increased profits by at least 25%, and retention was about seven times less costly than acquisition.
• Companies spent over USD 75 billion on loyalty management last year; 47% reported that the purpose of retention was to increase customer spending.
• Meanwhile, the average retention rate across industries was approximately 75.5%.
• Meanwhile, 89% of marketers use email-led retention efforts.
• Poor service drove churn, 71% left for that reason. Still, 44% focused more on acquisition, while 18% focused more on retention.
• According to medium.com, satisfaction ratings were fairly balanced, with each score accounting for approximately 19-20% of customers.
• The churned and retained groups were similar in age (mostly 30-50) and credit score (peaking at approximately 600-700).
• Balances for churned customers tended to be lower, clustering mainly between 40,000 and 125,000.

Loyalty Program And Incentive Engagement Analyses

• A report published by Digital Silk found that approximately 90% of customers would interact with a brand when engagement was rewarded.
• Meanwhile, 71% switched to another brand that offered better incentives.

(Reference: digitalsilk.com)

• Consumers were most willing to share data for discounts/coupons (91%), followed by loyalty points/rewards (89%) and exclusive access (83%).
• Willingness then dropped to win something (71%), unlock content (60%), and join a brand community (55%).
• Approximately 70% of consumers are enrolled in paid loyalty programs, and nearly half of non-members indicated they would pay if the offer suited them.
• The most desired reward was cash back (64%), followed by free products & gifts (58%), free shipping & returns (55%), birthday & anniversary gifts (55%), and personalised rewards (46%).
• Almost 65% of U.S. consumers wanted to redeem rewards at any time, while the ease of earning points influenced 55% of users.
• Coupons led discounts, used by 40% of U.S. consumers.
• Finally, 30% joined loyalty programs by signing up for newsletters.

Bank Churn Statistics

• A 2025 report on ElectroIQ said banks had an average customer churn rate of 17.6%.
• In North America, retail banks experienced a larger decline of 19.2% due to weak websites and mobile app experiences.
• Digital-only banks remained lower at 10.8% because they typically offered a smoother user experience and faster support.
• People primarily changed banks due to high fees (43%), poor customer service (39%), and insufficient digital tools (32%).
• Attribution among older customers increased by 15%, whereas Gen Z customers left at a 7.5% rate due to inconsistency across apps, phones, and branches.
• Around 28% reported data breaches or security concerns.
• Reduced personalisation led to a 22% decline among small-business clients.
• If people waited more than 10 minutes for help, their likelihood of leaving the bank increased by 13%.
• In 2025, poor mobile apps also prompted 35% of users to consider switching providers.

Retail Banking Switching And Revenue Impact

• According to redpointglobal.com, in 2024, approximately 20% of retail banking customers either moved money to another institution or changed their primary bank/provider.
• A J.D. Power report stated that 13% of U.S. retail bank customers reported being likely to switch banks within the next 12 months.
• With a modest USD 2,500 customer lifetime value, losing 1,000 customers resulted in approximately USD 2.5 million in lost revenue.

Banking Retention Analyses

• A Blogging Wizard report further stated that when a competing bank offered a better experience, about 80% of customers said they would have considered switching.
• Among those who left, 56% reported that their bank had not made a serious effort to retain them.
• Nearly half of the customers who exited did so within the first 90 days of account opening.

Customer Churn Rate Statistics By Demographic

• Female customers have higher churn rates than male customers (11.4% vs. 9%), according to medium.com.
• By age, churn is highest among people aged 40-50 (7.9%), followed by the 30-40 group (5.4%).
• The lowest churn is observed among customers aged 30-60.
• By country, France and Germany have the same churn rate (8.1% each), which is substantially higher than Spain’s (4.1%).

By Customer Behaviour

• As of 2205, inactive members left the bank far more often (13%) than active members.
• Customers who held a credit card churned at a higher rate (14.2%) than those without a card (6.1%).
• Customers holding at least one product had a higher churn rate (14.1%) than those with none.
• By card category, Diamond cardholders recorded the highest churn (5.5%) among all card types.

Churn Breakdown Statistics By Gender, Credit Card, Activity, And Country

(Source: ars.els-cdn.com)

Top-Ranked Retail Banks By Region (Customer Satisfaction)

Results From Quantzig’s Churn Analytics Solution

(Source: quantzig.com)

• Quantzig’s churn analytics solution delivered substantial business gains by improving churn forecast accuracy by 2 times and boosting the customer retention rate by 70%.
• It also increased the overall annual ROI by 60%, indicating a clear financial impact alongside improved predictive performance.

Average Churn Rates By Industry

Main Reasons Customers Stay Loyal To Banks

• According to TechViral.News, in 2025, the biggest loyalty factor was 24/7 mobile access, claimed by 68% of banking customers.
• Strong data security trust was a top priority for 72% of respondents.
• Helpful, responsive support also kept customers loyal (61%), while personalised financial advice encouraged 54% to stay.
• Banks that made onboarding smooth saw a 19% lift in long-term retention.
• For millennials, the addition of financial wellness tools improved retention by 17%.
• Gamified rewards in loyalty programs delivered 25% higher retention, and AI fraud alerts increased confidence and retention by 13%.
• Digital educational content has enhanced loyalty among 47% of Gen Z customers, and clear fee transparency has raised year-over-year loyalty metrics by 9%.

Conclusion

To retain customers, banks should identify churn risk early and take prompt action, as these are closely linked. People may leave due to poor service, hidden fees, weak app performance, or life changes. Loyalty persists when customers trust the bank, receive consistent support, and perceive strong value.

Banks can analyse customer data such as spending patterns, account usage, complaints, and relationship length to predict churn risk. To decrease churn rate and enhance long-term customer relationships, the bank responds quickly with fair pricing, rapid problem-solving, and simple, personalised offers.