Software
firm Lirio has launched Finworx, a behavioral finance and engagement platform for
advisers. The solution utilizes “big data” analytics and machine learning to
identify a client’s risk tolerance, behavioral biases and decisionmaking
patterns in order for advisers to develop a highly personalized road map for a
client’s financial future.
The
firm says this data then “empowers the adviser with communication tools to send
the right data at the right time.”
The
platform’s analytics keep advisers updated with reports on client activities
through notifications that indicate who is engaging with what information.
Machine learning capabilities help advisers use client insights and personal
communication to figure out the next best steps for each client. Moreover,
advisers can use the platform to deliver personalized content on financial planning topics, current event pieces and
market updates designed for each persona.
The
Success Coach option guides advisers through each of the platform’s features.
“As a
CFA [Certified Financial Analyst], I understand all too well the challenge that
advisers face when trying to create better outcomes for different clients while
at the same time growing their business,” said Miranda Carr, president of
Finworx. “Finworx helps improve understanding and engagement by directing you
to your next best action with clients. Our proprietary persona-driven messaging
provides a seamless communications road map—complete with automation—so that
you can easily take action and engage clients appropriately.”
Lirio
is a firm specializing in applying psychology and human behavioral research to
products that use machine learning and big data to help businesses improve
their outcomes.
Industry Trends Threaten Traditional Broker/Dealer Model
Broker/dealers
(B/Ds) can address new regulatory pressures, and new competition, by enhancing
their value proposition and embracing technology, a report by Cerulli suggests.
Broker/dealers
(B/Ds) can address new regulatory pressures, and new competition, by enhancing
their value proposition and embracing technology, a report by Cerulli suggests.
Despite
ongoing legislative battles to curtail portions of the Department of Labor
(DOL)’s industry-sweeping conflict of interest rule, the regulation is under
full implementation, as of June 9. The rule and other regulatory pressures have changed the way many
advisers do business, and this shift could pose a major threat to the
traditional broker/dealer model.
“One of
the most important trends in the wealth management industry is the shift away
from commissions to fee-based pricing,” notes Bing Waldert, managing director
of U.S. research at global research and consulting firm Cerulli Associates. “Even
if it is ultimately diluted, the DOL conflict of interest rule has reinforced
the shift away from commissions to fees.”
In
fact, excessive fees are at the center of litigation
coming against the retirement planning industry,
and commissions are often scrutinized regardless of whether an investment
vehicle—including a B/D’s proprietary product—is in the investor’s best
interest.
Thus,
Cerulli finds many firms are deciding to mandate fee-based pricing even on
individual retirement accounts (IRAs), which thefiduciary
rule now applies to.
But beyond
Capitol Hill, broker/dealers are facing growing competitive threats fueled by
the rise of the independent registered investment adviser (RIA) model and a
shift in consumer consciousness.
NEXT: Growing competition
“Since
the financial crisis, there has been growing consumer awareness of the
conflicts of interest inherent in the wealth management industry, creating
another competitive threat for B/Ds,” Waldert says. “When Cerulli examines
market-share shifts, the focus has always been the shift of advisers away from
employee-based B/Ds to more independent models. However, some portion of the
registered investment adviser channel’s growth can be attributed to investors
choosing to do business with an independent adviser with fiduciary positioning.”
Waldert
notes, “In order to enhance their credibility with advisers, B/Ds must
reconsider their value proposition as an adviser service organization. It’s important
for B/Ds to help advisers further their career goals, because if adviser
recruiting slows, organic growth becomes more important.”
Cerulli
found that, at their peak, wirehouses such as Merrill Lynch and UBS offered an
adviser up to 300% of his gross revenue to entice him to join their firm. Now, such
firms are cutting back on these recruiting packages. This means advisers may be
lured by other options such as the independent model or emerging multi-adviser
RIAs, which, Cerulli says, provide “many of the same functions as those classically
performed by B/Ds.”
When
wirehouse advisers were asked why
they prefer the independent model, they cited certain “major factors.”
These included greater autonomy (72%), ability to build financial value in an
independent business (62%), higher payout (60%) and desire for more personal
culture (57%).
Further,
Cerulli’s research indicates that independent and hybrid RIAs have steadily
taken market share from broker/dealers. In 2006, RIAs held 15% of the market
share. By 2015, that number had grown to 23%. At the same time, the share of
wirehouses and other broker/dealers slipped from 85% to 77%.
Still,
Cerulli notes, “Regardless of a B/D’s strategy and market positioning, it must
recognize the role of technology in realizing this strategy. To some extent,
technology will provide operational efficiency—this is most essential to firms
that wish to operate at scale or those that wish to be hands-off with their
advisers, essentially providing an operational platform. This is especially
relevant for those firms that wish to grow through acquisitions because
dropping a smaller, less efficient B/D onto a cutting-edge technology platform
can result in immediate cost savings.”
Cerulli
adds that this technology frees broker/dealer firms to “spend more time
prospecting or cultivating existing investor relationships. If this efficiency
can be spread across thousands of adviser practices, it can result in
significant growth for the B/D. Furthermore, these advisers recognize the role
of the B/D in helping them to build a more productive and efficient business.”
Cerulli
found multiple instances of broker/dealers adopting automation to improve the
client experience. For example, it cites Morgan Stanley, which has begun
testing the algorithmic assistant “next best action.” This solution guides the
adviser as to the next investment he should recommend to a client, based on that
person’s life situation. It also tracks all transactions and communications
between the adviser and client. Cerulli says, “This allows for machine
learning—the tool will improve on its recommendations the more it learns about
the adviser and his or her practice.”
These
findings are from the “The Cerulli Edge – U.S. Edition,” October 2017 issue.
Information on downloading the report can be found at Cerulli.com.