Retail banks have long competed on distribution, realizing economies of scale through network effects and investments in brand and infrastructure. But even those scale economies had limits above a certain size. As a result, in most retail-banking markets, a few large institutions, operating at similar efficiency ratios, dominate market share. Changes to the retail-banking business model have mostly come in response to regulatory shifts, as opposed to a purposeful reimagining of what the winning bank of the future will look like.
Retail banks have also not kept pace with the improvements in customer experience seen in other consumer industries. Few banks stand out for innovation in customer interaction models or branch formats. Marketing investments have traditionally focused on brand building and increasing loyalty: a reputable brand stood for trust and security and became a moat, providing protection against new entrants to the sector.
Today, the moats that banks have built are more likely to restrict their own progress than protect them from attackers. Four shifts are reshaping the global retail-banking landscape to the point where banks need to fundamentally rethink what it takes to compete and win. This should be an urgent priority for banks. The pace of change will likely accelerate, with a select set of large-scale winners emerging in the next three to five years that will gain share in their core markets and begin to compete across borders, leaving many subscale institutions scrambling for relevance.
Over the next three to five years, we expect a few players to emerge from the competitive scrum to gain dominant share in their core markets and possibly beyond. These firms will have taken bold and decisive actions to capitalize on the following shifts that are reshaping the industry. In some cases, these winners will be incumbents that build on an already significant share; in others, they will be institutions newer to the banking industry, which use their agility, strategic aggressiveness, and sharp execution to attract customers.
Until the financial crisis in 2007, a retail bank’s total share of deposits was tightly linked to the size of its branch network. Over the past decade, this relationship between deposit growth and branch density has weakened. Deposits at the 25 largest US retail banks have doubled over the past decade, while their combined branch footprint shrank by 15 percent over the same period. This reverse correlation is even sharper for the top five US banks—while reducing branches by 15 percent, they increased deposits by 2.6 times (Exhibit 1). While there have been previous periods of branch contraction, they were clearly tied to economic downturns; this most recent wave of retrenchment has persisted through a period of robust economic growth.
Retail-banking branch networks are contracting across Europe, North America, and the United Kingdom (Exhibit 2), although the pace of change varies considerably between regions. Those that are ahead of the curve have reduced branches by as much as 71 percent (Netherlands). Banks in North America and Southern Europe are reducing branches and growing digital sales at a more gradual rate.
The rate of branch reduction is often tied to customer willingness to purchase banking products online or on mobile devices. Eighty to 90 percent of banking customers in the Nordics, for example, are open to digital product purchases for most financial products, compared to 50 to 60 percent in North America and Southern Europe. While customer willingness to purchase products via digital channels varies, however, the common thread is that in all markets this readiness is far ahead of actual digital sales and will require banks to catch up to consumer needs and expectations. Within any specific market, of course, there are banks that have acted swiftly to adopt digital and remote as their main channel for interactions; these banks are pulling away from the pack and have taken decisive actions on several fronts:
Across all retail businesses—including banks—customers now expect interactions to be simple, intuitive, and seamlessly connected across physical and digital touchpoints. Banks are investing in meeting these expectations but have struggled to keep pace. Many are hampered by legacy IT infrastructures and siloed data. As a result, few banks are true leaders in terms of customer experience. Even for institutions ahead of the curve, typically only one-half to two-thirds of customers rate their experience as excellent.
The impact of this less-than-stellar performance is measurable. For example, McKinsey analysis shows that in the United States, top-quartile banks in terms of experience have had meaningfully higher deposit growth over the past three years (Exhibit 3). The few “experience leaders” emerging in retail banking are generating higher growth than their peers by attracting new customers and deepening relationships with their existing customer base. Highly satisfied customers are two and a half times more likely to open new accounts/products with their existing bank than those who are merely satisfied.
These experience leaders are adopting tactics pioneered by digital-native companies in other sectors such as e-commerce, travel, and entertainment: setting a “North Star” based on proven markers of differentiated experience (for example, user-experience design, carrying context across channels), redesigning journeys that matter most for digital-first customers and not just digital-only customers, and establishing integrated real-time measurement that cuts across products, channels, and employees. These banks know that customer experience is not just about the front-end look and feel, but that it requires discipline, focus, and investment in the following actions:
Larger retail banks have historically been more efficient than their smaller competitors, benefiting from distribution network effects and shared overhead for IT, infrastructure, and other shared services. Our analysis of over 3,000 banks around the globe shows that while there is variation across countries, larger institutions tend to be more efficient both in terms of cost-to-asset and cost-to-income ratios. However, beyond a certain point, even larger institutions struggle to eke out efficiencies or realize benefits from scale.
We expect this paradigm to change over the next few years, as structural improvements in efficiency ratios and increasing returns to scale enable some large banks to become even more efficient. The reason is twofold: first, advances in technologies such as robotic-process automation, machine learning, and cognitive artificial intelligence—many of which are now mainstream and commercially viable—are unleashing a new wave of productivity improvements for financial institutions. Deployed effectively, these tools can reduce costs by as much as 30 to 40 percent in customer-facing, middle-, and back-office activities, and fundamentally change how work is done. Dramatic change has already taken place in banking sectors such as capital markets, where algorithmic trading and automation are radically changing the talent profile.