The Fight for the Customer
mckinsey_global_banking_annual_review_2015
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26<br />
<strong>The</strong> <strong>Fight</strong> <strong>for</strong> <strong>the</strong> <strong>Customer</strong>: McKinsey Global Banking Annual Review 2015<br />
banking activities have proved impregnable.<br />
Start-ups have captured tiny market<br />
shares in lending, deposit-taking and<br />
o<strong>the</strong>r businesses. But <strong>the</strong>y are growing<br />
quickly. <strong>The</strong> question is: Can <strong>the</strong>y reach<br />
sufficient scale to materially affect banks’<br />
revenues and profits?<br />
Estimating <strong>the</strong> potential<br />
In our opinion, <strong>the</strong> answer is yes. Attackers<br />
are targeting origination and sales, <strong>the</strong> customer-facing<br />
side of <strong>the</strong> bank. Even a partial<br />
loss of direct customer relationships will<br />
have a significant impact. Looking at five<br />
retail banking businesses – consumer finance,<br />
mortgages, SME lending, payments<br />
and wealth management, McKinsey found<br />
that <strong>the</strong> risks are widespread. In consumer<br />
finance, up to 40 percent of revenues and<br />
up to 60 percent of profits are at risk of<br />
loss by 2025 (Exhibit 10, page 25). That is<br />
equivalent to about 6 percentage points of<br />
that business’s ROE, which we estimate to<br />
be about 10 to 12 percent currently. In payments,<br />
30 percent of revenues and 35 percent<br />
of profits are at risk. O<strong>the</strong>r businesses<br />
have smaller but still material revenues and<br />
profits at risk. <strong>The</strong>se estimates assume that<br />
banks continue to cut operating costs on<br />
<strong>the</strong>ir current trajectory, but do not assume<br />
any action on <strong>the</strong>ir part to boost volumes,<br />
alter prices, or cut o<strong>the</strong>r costs.<br />
Naturally, <strong>the</strong>se <strong>for</strong>ward-looking projections<br />
require many o<strong>the</strong>r assumptions and will<br />
vary from country to country. To understand<br />
more about <strong>the</strong> approach we used,<br />
see “A look at our methodology” below.<br />
A look at our methodology<br />
In each business we studied, we assessed characteristics like<br />
<strong>the</strong> presence of network effects, scalability, barriers to entry,<br />
and so on. We used this to define four expected patterns of<br />
disruption – an S-curve of explosive growth, <strong>for</strong> example, or a<br />
straight-line steady shift – like those seen in o<strong>the</strong>r industries<br />
and technologies. We <strong>the</strong>n made estimates of <strong>the</strong> <strong>for</strong>ces at<br />
work in <strong>the</strong> given business. For example, in wealth management<br />
services <strong>for</strong> <strong>the</strong> mass affluent, we estimated that falling<br />
prices would erode <strong>the</strong> industry’s margins by one-fourth by<br />
2025. <strong>The</strong> estimate was based on an analysis of price competition<br />
as a result of tech attackers in insurance and observations<br />
from recent fee reductions by incumbent wealth managers.<br />
We also estimated <strong>the</strong> revenues that attackers would capture<br />
from banks. To do this, we started with point revenue estimates<br />
of a sample of 11 “robo advisors,” complemented by specialist<br />
research from three major investment banks and<br />
research firms. We projected a period of continued strong<br />
growth, followed by a period of slower growth. For 2014-2019,<br />
we estimated annual growth in AUM of ~137 percent, based on<br />
recent growth trends of <strong>the</strong> robo advisors. Note that <strong>the</strong> estimate<br />
reflects <strong>the</strong> current small size of attackers’ AUM. For<br />
2020 – 2025, we projected growth in AUM at 30 percent.<br />
Finally we validated <strong>the</strong> findings with experts from McKinsey<br />
and <strong>the</strong> industry.