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For over 25 years, Quantifacts has been helping the wealth
management industry to model, analyze, and optimize their fee schedules. We also run annual fee surveys to monitor the
latest industry trends. During the
course of our work, we have seen all manner of pricing scenarios, including
base fees, wrap fees, minimum fees, fee rebates, and much, much more. And the latest trend is that pricing is
getting more complex with the introduction of new products such as Separately
Managed Accounts, Unified Managed Accounts, etc. In 2007 alone, we either have
been involved directly with or heard about a surprising number of wealth
managers who have made significant pricing changes.
The Quantifacts time-tested methodology for pricing studies
involves unique and powerful processes.
First, we develop feeds from your trust systems to extract and load your
actual data – down to the individual account and position level – into our
relational database. Quantifacts then
balances this data to your general ledger to ensure complete accuracy of our
results. We can then run your fee
schedules and your competitors’ fee schedules against your actual accounts for
detailed comparison purposes. We can
also model other important “what if” scenarios, such as asset mix changes,
market valuation changes, etc. The
results of these precision studies not only provide management with the
information and insight required to understand their competitive positioning,
but also provide tools for frontline staff to communicate more effectively your
institution’s value proposition regarding pricing versus the competition.
Call us today at 401-421-8300 x 105 or email us at info@quantifacts.com
to discuss competitive fee modeling and analysis and understand how Quantifacts
can provide you with the hard facts that you need to make the right business decisions
at the right times. That’s why twenty
of the Top 50 trust institutions have relied on our technology and services to
provide them with the answers that they need to run their businesses profitably
and efficiently.
What caused last
month’s unexpected change in revenues?
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