This is The #1 Objection with Infinite Banking & Whole Life! | IBC Global - YouTube

Channel: Insurance Business Concepts (IBC) Global

[0]
So today we are going to address
[2]
a very debated topic
[6]
around cash value life insurance
[8]
which is how to maximize the cash value
[10]
but specifically
[12]
when it has to do with infinite banking.
[14]
Our company IBC Global
[16]
represents insurance business concepts
[19]
as we discuss
[20]
a variety of different concepts
[22]
in the insurance business
[24]
specifically referring to
[25]
whole life insurance
[26]
and how to maximize the cash value
[28]
whether the concept
[29]
is cash accumulation
[31]
retirement planning
[32]
business planning
[33]
being SERPs
[34]
non-qualified deferred comp plans
[36]
whatever it might be
[37]
we go over a number of concepts
[39]
specifically around
[40]
whole life insurance
[41]
and the idea of the banking concept
[43]
is one of them.
[44]
Now with that said
[45]
around the idea of the banking concept
[48]
a heavily debated topic
[50]
and where so many
[52]
so many consumers
[53]
have vented so much frustration
[54]
just over the years
[56]
is around the cash value
[58]
but the number one objection
[60]
that I have heard for years is
[62]
I am interested
[63]
in the maximum cash value
[65]
I do not care about the death benefit
[67]
this is exactly what consumers express
[70]
how do I maximize the cash value?
[73]
And then in the infinite banking world
[75]
what people often hear is
[77]
well this isn't about
[78]
maximum cash value
[80]
this is not about maximizing
[82]
the internal rate of return
[84]
it's about much more
[85]
it's about taking control
[86]
of the banking function in your life
[88]
and you can use a dividend-paying
[90]
whole life insurance policy to do that
[92]
because you can.
[93]
But the thing is
[94]
when it comes to a high cash value
[96]
life insurance policy
[98]
if I want to practice
[99]
the banking function or not
[101]
why not maximize the cash value first?
[104]
That has always been our
[106]
number one go-to
[107]
regardless of what concept
[108]
someone is practicing
[110]
how do I maximize the cash value
[113]
just like banks do
[114]
just like corporations do
[116]
just like the wealthy do?
[118]
Why do I have to have
[119]
something different
[120]
if I want to practice this?
[123]
So not about the cash value
[126]
I should use a small
[127]
to medium-sized company
[129]
with a little bit higher base premium
[130]
than I could typically go
[131]
so if I can lower the base premium
[134]
which reduces
[135]
or I'm sorry
[136]
the higher the base premium is
[137]
that reduces the cash value upfront
[140]
commits me to a larger amount
[142]
as a consumer
[143]
and it does not maximize
[144]
the cash value.
[146]
So if my goal is maximum cash value
[148]
and I'm being recommended to go
[149]
with a small to medium-sized company
[151]
that has not provided
[152]
any proof of performance in the past
[155]
and go with a higher base premium
[157]
which sacrifices upfront cash value
[159]
no matter how you spin it
[161]
the translation
[162]
being in the industry is this
[165]
don't look at the cash value
[167]
because it impacts my commission.
[169]
Speaking completely straight
[171]
that is my opinion on it
[172]
whether you like my opinion or not
[174]
that's my opinion on it
[176]
but at the end of the day
[177]
when you look at cash value
[178]
life insurance products
[180]
regardless of what your goal is
[181]
with the concept
[182]
what concepts you want to practice
[185]
small to medium-sized companies
[186]
high-based premiums
[188]
do not give you maximum cash value
[190]
when you look at the data
[191]
which if you've watched
[192]
any of our videos you know that.
[194]
So here's my encouragement
[196]
before we move on to some data
[198]
is anytime you're interested
[200]
in a whole life insurance policy
[202]
specifically for maximum cash value
[205]
you've got to remove this.
[208]
Our company
[209]
insurance business concepts
[211]
works with engineers
[213]
I.T professionals
[214]
data analysts
[215]
more than anyone else
[217]
very technical minded individuals
[220]
when we work with those individuals
[222]
what I've found is
[223]
if you're going to share a story
[224]
or something with them
[226]
they appreciate it
[226]
but they don't care
[228]
they're very data-driven
[230]
what do the numbers look like
[231]
is everything optimized
[233]
and then they're going to make their decision
[235]
based on the numbers
[236]
and this is often why engineers
[237]
are very good at what they do
[239]
they're very focused on the transaction
[241]
making sure things are
[242]
systematically in place
[243]
and I'm not going to
[244]
get into what an engineer does
[245]
because they can explain it
[246]
better than me
[247]
they don't put emotion
[249]
into their decision-making process
[251]
it's all factual it's data.
[254]
So whenever you're looking at
[255]
a whole life insurance policy
[257]
designed for maximum cash value
[258]
my encouragement
[259]
would be to do the exact same thing
[262]
always dig into it
[264]
remove emotion from the decision
[266]
when it comes to numbers
[268]
because at the end of the day
[269]
it is your money going into the product
[271]
you have to be careful here.
[275]
Getting into some data
[276]
when we work with banks
[279]
so our largest client is a bank
[282]
there between $700,000,000
[283]
to $800,000,000 in assets
[284]
that's the size of their bank
[286]
not mega-bank
[287]
like Bank of America or anything like that
[289]
but when I first had the privilege
[291]
to meet with them to really present
[295]
high cash value life insurance
[296]
as a BOLI [Bank-Owned Life Insurance] product
[298]
I met with the CFO
[299]
and the examiner there.
[301]
So if you don't know what an examiner is
[303]
very very technical individual
[305]
his name's Mark
[306]
he's a really nice guy
[307]
but with numbers
[308]
like you're not going to pull anything over him
[309]
I don't care who you are
[311]
it's not going to happen
[312]
but you've got to know your stuff
[313]
going in there.
[314]
If I go in there
[315]
and try to use some kind of pitch
[317]
as far as using a
[318]
small to medium-sized company
[320]
or go with a higher base premium
[322]
because you'll have more money long term
[324]
I'm going to get thrown out
[326]
of that board room so quickly
[327]
they're going to go with the competitor
[329]
they're not going to do it
[331]
they're not
[331]
like it's not going to happen
[332]
I know that going into it
[334]
everyone knows it too.
[335]
But with these guys
[338]
they have maximum cash value upfront
[340]
yet over here
[341]
we hear and see different things
[342]
like come on
[343]
like if we want to copy what the wealthy
[345]
and corporations are doing
[346]
see exactly what they do
[348]
and then emulate it
[349]
to the closest degree possible.
[351]
Why I say like that
[352]
not exact degree
[353]
or not copied exact
[355]
is you and I individuals
[356]
cannot acquire what banks have
[359]
bank-owned life insurance
[360]
is a different product
[361]
that is available to the general public
[363]
and even small
[364]
to medium-sized businesses.
[366]
When you look at tax
[367]
and estate planning attorneys
[369]
that know cash value life insurance
[371]
in and out
[372]
they know how a policy should be set up
[374]
and they will make that recommendation.
[377]
You know there's a couple we work with
[379]
I admire them very very much
[382]
just they're in business
[384]
they're younger than me
[385]
and I've learned a ton from them
[387]
but when I met with them
[388]
they're interested in cash value life insurance
[390]
they pulled an attorney in
[391]
just to qualify me
[393]
to vet me if you could call it that
[395]
and this attorney
[397]
knew cash value life insurance
[399]
better than most agents I know
[401]
I was extremely impressed
[402]
and she was really defending them
[404]
so that you ever want to hear the story
[406]
at first it was kind of like whoa
[407]
I'm on your side
[409]
but it worked out very very well
[410]
where I actually hired her
[412]
we've had her on some podcasts
[414]
she's one of my good friends
[415]
I like to refer to her as well.
[417]
But she knows how cash value products
[420]
should be set up
[421]
uses it in her international tax planning
[424]
maximum cash value
[425]
try and pull something over
[427]
like it's not going to go well
[428]
like they know what to look for
[430]
they know their stuff inside and out.
[432]
When you look at actuaries
[434]
Scott Witt
[435]
is one of the top actuaries I know
[436]
he knows cash value life insurance
[438]
that is his thing
[439]
he knows it inside out.
[441]
The inside joke with him
[443]
and his fellow actuaries
[444]
when it comes to high cash value
[446]
life insurance policies
[447]
is he would say blended policies
[448]
with term Riders
[449]
minimum premiums
[450]
maximum cash accumulation
[452]
with the actuary's choice.
[454]
He's actually discussed policies
[455]
where he's seen strong
[456]
internal rates of return
[458]
disclose the exact numbers
[459]
you have to reach out to him
[460]
if you actually want to see the numbers
[462]
or hear about them from him
[464]
but he's provided proof of performance
[466]
one of the few people I know
[468]
because we dig into historical performance
[470]
he does as well.
[472]
But here's what
[473]
all 3 of those have in common
[476]
company selection
[477]
performance analysis
[478]
is what they look at
[480]
this is exactly what the wealthy
[482]
exactly what corporations do
[484]
company selection
[485]
performance analysis.
[487]
Specifically what companies
[488]
have a track record of delivering
[490]
the strongest cash values to consumers
[493]
regardless if I want to practice
[494]
the banking concept or not?
[496]
I just want maximum cash value
[498]
that's my goal
[499]
and then I intend to use the policy
[501]
however I intend to use it.
[503]
What companies have delivered
[504]
the strongest cash values?
[506]
MassMutual
[507]
Guardian
[508]
New York Life
[509]
and Northwestern Mutual
[510]
in particular
[511]
when the policies are designed properly
[513]
when they're not designed properly
[515]
it's a different story.
[516]
Performance analysis
[518]
what do these guys look at?
[520]
These guys
[520]
guess where their eyes went straight to?
[522]
What's the guaranteed rates?
[524]
What are the guarantees look like?
[526]
Internal rate of return.
[527]
You know when I met with the bank
[530]
the CFO
[531]
I was actually asking him questions
[532]
because I wanted to see
[533]
how much research he had done
[535]
or what our competitors
[536]
people were up against
[537]
had educated him on
[539]
and I asked him hey
[540]
when you looked at the illustration
[542]
did you notice that the
[543]
internal rate of return
[544]
went down each year?
[545]
Even though the crediting rate
[547]
advertised on the illustration
[549]
was the same that didn't change
[551]
he immediately went
[552]
yeah I did notice that
[553]
like why are the returns
[554]
going down on our money?
[557]
Well the reason why
[558]
is how that BOLI product works
[559]
is you've got an increasing insurance expense
[562]
with a constant rate of return
[563]
associated with it
[564]
so what happens
[565]
is when those expenses come up
[567]
because the returns not going up with it
[569]
they actually gradually come down
[571]
they were always cash positive
[573]
and they were very attracted to it still
[575]
but that was something
[576]
he wanted more information on
[577]
but that's the stuff they look at
[578]
he was interested in that.
[580]
The break-even point
[582]
upfront cash value
[583]
individuals
[584]
wealthy individuals
[585]
wealthy couples
[586]
opportunity cost
[588]
that is what they value
[589]
more than anything else.
[591]
Top companies
[592]
maximum cash value
[594]
like that is where people's interest are
[596]
at the end of the day.
[598]
So we talk about data all the time
[600]
our company IBC Global
[602]
having historical performance
[604]
on cash value life insurance policies
[607]
if you have a policy with us
[608]
you've seen that data
[609]
you have access to the full data
[611]
in our client user package
[613]
now I'm going to touch on some of it.
[616]
So this is actually from a blease report
[618]
which anyone can search right online
[621]
for the full report
[623]
we just took the data here and simplified it
[625]
and I categorized it the way I wanted to
[630]
so we have a 20-year study here
[632]
it's a little dated
[633]
we've got some more
[634]
but this is based on a 45-year-old male
[636]
a $250,000 policy
[638]
it's not an apples-to-apples comparison
[641]
meaning this does not show policies
[643]
where the individual paid
[644]
the same dollar amount in
[646]
with the products designed
[647]
in the exact same way
[649]
which would be
[649]
an apples-to-apples comparison
[651]
but what it does show
[652]
is the actual cash value
[655]
the actual IRR
[657]
the full blease report actually shows
[659]
what was illustrated
[660]
then compared to what actually happened
[662]
but here we go
[664]
what do you notice?
[665]
I'm going to draw a red line here
[670]
and with that red line
[672]
what do you notice above it?
[674]
Company selection.
[676]
Sound familiar?
[679]
There's your internal rates of return
[682]
the only companies I've seen
[683]
consistently deliver
[685]
IRRs of 4% or greater
[687]
have been these 4
[688]
now with that said
[690]
I'm gonna see other companies making moves
[692]
it would be these guys
[694]
just for full transparency
[696]
they've got a good business model
[697]
and it seems like they do know
[699]
what they're doing
[699]
they made a dedicated effort
[700]
toward whole life insurance
[701]
I haven't seen the 4% IRR yet
[704]
but I think that we will in the near future
[706]
for full transparency
[707]
again that's my opinion.
[710]
So there is a historical performance report
[713]
now personally
[714]
I like the independent policies
[717]
side-by-side comparison
[718]
properly designed
[719]
fully transparent.
[720]
So to look at some examples here
[723]
which we've got examples
[724]
from different time periods
[726]
here's a policy issued in 1980
[729]
on a 50-year-old male
[731]
this study here
[732]
was a 10-Pay policy with MassMutual
[737]
is based on actual performance
[739]
on the far right
[740]
you know I should provide
[741]
a little bit more detail to this
[743]
this is available to the public as well
[746]
annual IRR
[748]
and then the dividend interest rate.
[751]
So we always talk about
[751]
the dividend rate being a gross rate
[753]
that's credited after the company's
[755]
insurance expenses
[756]
mortality charges
[757]
all that good stuff
[759]
and this policy
[760]
also happened to live through
[762]
a very attractive dividend
[763]
interest rate period
[765]
with double-digit dividends
[766]
however
[767]
you know what happened
[768]
during that period of time
[770]
interest rates were much higher
[771]
than those dividend interest rates were
[774]
but again this is based on
[775]
the actual cash value performance.
[777]
And this one actually runs
[779]
I've got to update this through 2015
[781]
the IRR through 2015
[784]
was about the average IRR
[786]
that's the annual
[787]
but what it averaged out
[788]
over this period of time was 6.19%
[792]
however as the years have passed
[794]
as we run this study through 2021
[796]
this individual is older now
[798]
he's in his 90s
[800]
the actual IRR
[801]
is closer to 5.6%, 5.7%
[807]
I'm going to run the exact
[808]
but as you grow older that IRR
[810]
will gradually come down
[811]
as it has been
[812]
but has still produced
[814]
a phenomenal cash value.
[816]
Here's a New York Life policy
[818]
where the IRR to date
[822]
through 17 years just over 4%
[825]
and then what we also ran
[826]
was the projections moving forward.
[828]
How we got the 4.07%
[830]
is we took the individual's
[832]
total payments each year
[834]
his total cash value
[835]
based on a statement at the time
[836]
and that's where the 4.07% IRR came from
[840]
but this is the kind of stuff
[842]
that has to be disclosed upfront
[845]
critical
[846]
no one wants to do that though
[847]
because it's the fear of hey
[849]
if it doesn't deliver this
[850]
or if it's a small company
[851]
where I can't get that information
[853]
not saying they don't have it
[854]
so I'm not disparaging small companies
[855]
any way shape or form
[858]
but if we can't get that information
[860]
it's like where is it then?
[861]
Like we need that.
[863]
So let's look at another policy here
[866]
actually let's look at this one
[868]
one more over
[869]
this was a policy
[872]
we put in force right after I got married
[876]
and we've measured
[877]
the performance each year
[878]
this is one of my favorite things to do
[879]
when it comes to high cash value
[881]
life insurance policies
[882]
seeing what was originally illustrated
[884]
and then what actually happened
[886]
as we tracked the performance
[887]
year-over-year.
[888]
So original illustration
[892]
plan funding was $150,000 for 3 years
[894]
then $125,000 for 3
[896]
and then $50,000 through policy year 10
[898]
for a total of $1,025,000 in.
[902]
Now the original illustration
[904]
assumed a 7.1% dividend
[906]
all the way through
[907]
obviously that hasn't happened
[909]
it would be nice
[910]
but it has not happened.
[912]
So when we look at the actual performance
[915]
here we go
[916]
it starts out less in the 1st year
[919]
because we backdated the policy
[921]
but typically what happens
[922]
when you do that
[924]
2nd year
[926]
hit just about what was projected
[928]
however
[929]
dividend has come down a little bit.
[932]
Now what I want to add is
[934]
on the in-force illustration
[936]
so the in-force
[937]
is from year 6 moving forward
[940]
this is based on what actually happened
[942]
each year years 1 through 6
[945]
how we obtain this data
[946]
is each year
[948]
I run an in-force illustration from him
[950]
but then what I'll also do
[951]
is pull the annual statements
[953]
that's where I get the actual dividend from
[955]
and the actual year-end cash value
[957]
this way we can track
[958]
the real numbers
[959]
match it up with his online account
[961]
to make sure hey
[962]
is it performing as it should.
[964]
I mentioned earlier
[965]
we work with a lot of engineers
[967]
very technical minded individuals
[969]
he's one of them
[970]
but I like him a lot
[972]
he's actually become a good friend.
[973]
So dividend rate moving forward is 6%
[976]
we've got to track the performance
[977]
year over year
[978]
we've got the annualized IRR
[981]
in our full historical performance study
[983]
we do disclose the average as well
[985]
as this will easily do north of 4%
[988]
it's getting close already
[990]
but very very strong
[991]
in terms of actual performance
[994]
and this is the data we look for
[996]
and these are minimum premium policies
[998]
if a policy is designed in that matter
[1000]
we see it actually deliver
[1002]
and this is the key objection
[1004]
like this is people's pain point
[1006]
that they have
[1006]
where they are attracted to the idea
[1008]
of the banking concept
[1010]
but then they do not get answers
[1012]
around how to maximize
[1013]
the cash value of a product
[1015]
or some weird objection is thrown at them
[1018]
like it'll MEC [Modified Endowment Contract]
[1018]
or something like that
[1019]
or you can't pay into it
[1020]
for a long period of time.
[1021]
My thing is
[1022]
just provide clarity to someone
[1024]
in the same manner
[1026]
you would want clarity provided to you.
[1028]
So I hope this video was helpful
[1031]
if you're interested in a maximum
[1033]
cash value life insurance policy
[1034]
feel free to reach out anytime
[1036]
and as always
[1037]
I hope this helps.
[1038]
Enjoy.
[1040]
Hey guys Steve Parisi here
[1042]
if you enjoyed the content you just saw
[1044]
please subscribe
[1046]
like
[1046]
and hit the notification bell
[1048]
for future videos.
[1049]
If you'd like more information
[1051]
or to see some
[1052]
custom policies for yourself
[1054]
feel free to call
[1055]
or email our offices
[1057]
at the contact information below.