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Seven figure success starts when
you start thinking like a CEO.

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Welcome to the John Kitchens Coach podcast
experience as your host, John Kitchens.

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Get ready to think bigger and
transform your business into

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a path to lasting freedom.

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What is happening?

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Everybody, man.

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Thank you guys.

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Tuning in to another episode
of One Big Fire Live.

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We've got me and cousin in the house,
episode 59, and, um, man, yeah, it,

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it's, um, let's, let's, let's jump in.

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So we were, we were talking
about the article and BAM, um, a

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couple days ago where they were,
um, kind of talking about, um.

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Real estate deals might be
a pro athlete sponsorship.

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And so we were talking about, um, the
number one draft pick in the WNBA this

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past year, uh, place there in Dallas.

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And we were just talking about,
um, kind of seeking sponsorship

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deals and being able to leverage.

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Her her game, her her looks.

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Um.

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And just the street cred
credibility overall.

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Number one draft pick to be
able to leverage to be able to

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get some things that she wants.

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Um, looking at her overall contract and
then they were doing the comparisons

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to live in DFW and, and given the
comparisons of what it costs to live

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close to where their facility is, which
is closer to Fort Worth, they were

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drawing some comparisons on what it cost
to rent a single, um, a two bedroom or.

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Purchase and make a home.

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She ain't making enough money off her
WNBA contract to even live in DFW.

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And so you, you start to look at
that and, you know, how do you,

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how do you go about creating liver?

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So we were just kind of talking
through there, you know, the NIL money.

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I mean, I think she, what,
what reports she made?

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Like 1.4 million in NIL money
versus what the overall, you know.

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That they have within, within the league.

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But you started talking about from, from
a leverage standpoint, because as you're

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talking to a lot of agents that are, are,
that are looking and, and navigating and

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jacking position within the real estate
space right now, you, you brought up

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the key word, you brought up leverage
and I, I would love for you to kind.

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Unpack that a little bit because
there's some, some thoughts that

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I have that we, you know, what we
did to survive, but where I see

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a lot of, a lot of trends moving.

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Yeah.

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I mean, you know, there's a couple
things that always come to mind when

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I think about, you know, you know,
what, what, what we've experienced

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and, and, and the things that have
worked really well for us and, and.

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When, when it was in Lawton, you know,
again, the gift we were given of being

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in Lawton was, you know, optimization.

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Like we had to dial it in in
order for it to be profitable.

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And so, you know, that, that,
that was a gift, you know?

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Um.

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You know, there, there's leverage.

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And I think you, the pe you know, I, I
just met, I just literally met last night

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at, at the Cowboys Club a hundred, a
hundred, um, agents coming over to exp,

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coming back to exp actually, um, chose to
align with us for a lot of good reasons.

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Um, good humans, right?

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People, like it's a great fit
and super excited about it.

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It's gonna make a huge
splash when they join.

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Um, lot more, more to come after that.

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It's just, just a, a, a blessing
to get in alignment with the right

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kind of people that, that, that.

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Understand leverage.

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Like, you know, they left exp because
they didn't structure things properly.

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Mm-hmm.

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To get the amount of leverage that
you can get with this model, right?

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Mm-hmm.

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And, and, and they're coming back
understanding now they get to the

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line with whoever they want and we're
gonna structure things correctly

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to get gain the most leverage.

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From the model.

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Mm-hmm.

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And so, you know, it was just, it was just
like, what a ballsy move to take, I think

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at the time, 200 agents and leave exp
because you understand leverage that well.

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Like that's a really
gutsy, gutsy, gutsy call.

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Right.

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But they, they understood leverage.

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And you know, I, you know, and
I, and I'm talking to agents

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and there's, you know, some, uh,
leaders, there's 12 of them here.

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And, you know, they're all
different sized businesses.

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Some of 'em have teams.

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And you know, you know, the
challenge everybody gets to at a

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certain point is you get so busy.

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You know, you, you don't even take a
look at the things you're doing that

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are, you know, that are, you're not
getting any leverage in the activity.

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It's not the highest
dollar producing activity.

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Um, and when you understand EXPs model,
you understand the power of leverage.

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When you join with us, you understand
the power of, we're gonna onboard

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'em, we're gonna add all this value,
we're gonna do all this, you know,

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this, that you don't have to do
and you get compensated as well.

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And so, you know, it's just,
it's, it's fascinating to me.

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I think that.

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You know, you know, most of us
don't wake up every day thinking

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about how are we getting the most
leverage, um, to be successful.

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And, you know, that's, you know,
Paige's situation, you know,

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obviously she's got the, the
leverage of the NIL deal to mm-hmm.

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To make the, and the big three,
um, to make a whole lot more money.

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So I, I think the article's a little bit
misleading in terms of, you know, sure.

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You can't afford to live in a
house because she had all kinds

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of leverage there that mm-hmm.

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That, you know, that allows her to
be able to buy whatever she wants.

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So.

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But, but yeah, it's, you know, it's,
um, I think that's a piece that, that,

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you know, wake up every day, look at
where you can gain the most leverage.

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Um, meaning the thing that you do
pays you for a much longer or for the

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thing that you do, creates results
the most often, the most predictably.

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Um, when you can do those
things, that's leverage.

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Mm-hmm.

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And, um, you know, it's what we focus on.

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To, to help agents grow their business.

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Um, but I, I just feel like it's, it's
a, you know, it was super inspiring

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to, to meet with a group of people
that understand it at the highest

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level, um, because they were willing
to walk away, um, for six months to

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come back and gain more leverage.

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And that was cool.

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Yeah.

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Yeah, it is really cool.

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And, you know, I think about it in,
in, in so many different ways, right?

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And you look at as.

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Your business accelerates and you gain
more momentum, and especially when you

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can solve for, and I know that's, that's
where your focus has been, is helping

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solve for customer acquisition and being
able to understand how to consistently

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and predictably acquire new opportunities.

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Um, once you kind of unlock that.

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Mm-hmm.

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And.

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And able to, to really start to set some,
some real goals because now you have, you

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know, the engine to be able to, to grow.

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Yeah.

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I think, you know what, what we've
always told agents over the years is

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that once you gain that momentum and
you start getting, you know, some

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market share, the biggest threat is.

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Opportunity.

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Mm-hmm.

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Because sometimes you don't know what
to say yes to and what to say no, no to.

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And sometimes when you latch onto Say
Yes, until you have to say no, can get

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you in and get you a little bit of a bind.

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And so, but as, as those oppor
opportunities come, being able to

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have a filter to, to, to process them.

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But there's so many.

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Opportunities and, and, and to
create win-win relationships.

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And so like, I love to default back
to all of, you know, the bites of

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the apple within the real estate
space that when a transaction

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happens, how many people get fed.

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Mm-hmm.

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And, and so when you control customer
acquisition and you gain that momentum.

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Now you have leverage to
unlock other revenue streams.

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Yep.

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And I, I just, I, I, I push a lot of these
agents that have customer acquisition

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on point to be like, listen, you're
leaving a ton of money on the table.

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You need to make sure that you
are in a good relationship.

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And it doesn't necessarily mean that
they're, they're, they're paying for this

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or, or, or, or giving you money for this.

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Uh, and I, and I default back to, to Mac.

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Right.

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You know, our, our, our pest
guy back in, back in Lawton.

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Yeah.

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I remember the day he walked in,
he used to slip US envelopes and he

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walked in one day and just said, boy,
this, I ain't paying you no more.

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However, whatever you
need, I will be there.

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And literally for the next 10
years, anytime we call, Hey

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Mac, man, dude, I got spiders.

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He's, Hey, no worries bro.

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I'll be, I'll be there this afternoon.

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And but that's a win-win relationship.

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Right.

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And I think that's where a lot of
agents, they get to a certain point

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is that you've gotta just always be
looking because now you have leverage.

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Mm-hmm.

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With these other opportunities, and
we were talking before we came on.

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Just, I've been really bullish in
seeing the direction since 2021.

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I think it slowed up a little bit just
because it was, you know, the real

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estate sales accelerated, but kind
of where things were going was more

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on the acquisition side of things.

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It's the, it's the Kyle
Whistle strategy right now.

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Right?

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It's his path to get to a billion is.

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His acquisition, he's acquiring
opportunities everywhere he's going.

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And I think you're, we're gonna start to
see more and more of that as the, the, the

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bigger teams become bigger because they're
aligning to work together to grow faster.

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Mm-hmm.

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More what you're saying?

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Leverage.

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But the thing like co what Cody
Sanchez is talking about, being,

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being paying attention to.

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The businesses that are going to navigate
really well over the next 18, 24, 36,

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48 months, um, until we see an uptick in
whatever this housing market's gonna do.

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Because what do, what do we know to
be true when, when there's fewer home

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cells, what, what do, what do people do?

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They remodel their home, right?

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They, they add onto their home.

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They, they, they, they do these things.

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And so you look at where
is the opportunity?

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Within that, right?

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Mm-hmm.

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Customer acquisition, you're
talking to motivated sellers.

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They can't sell, they don't wanna sell.

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Where are they gonna go?

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What other solutions do you have?

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Right?

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So I think that's just being thinking.

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A little bit differently.

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Thinking outside of the
box is super important.

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For sure, for sure.

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Man.

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I mean, you know, you think about, you
know, you want to be the agent of choice

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for the lifetime of home ownership, not
for the first real estate transaction.

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So like, you know,
going back to, you know.

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Old, you know, HOA, you know, the, uh, you
know, the first real estate transaction

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you do with someone is equivalent of 3% of
the lifetime value of, of that person if

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you make them a raving fan of what you do.

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Yeah.

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Um, there, there's so much more to,
you know, to value you can bring to the

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table in alignment or even, you know.

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You know, all, all the things you're
talking about, spending money and

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remodeling, all, all of you should
be the conduit to all of that.

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And, and, you know, there's
opportunity in being that, yeah.

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There, I mean, there absolutely is.

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I mean, you know, recreating,
calling it whatever you want.

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I mean, essentially the
whole raving fan program.

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I mean, you've got all of the
connections, you're the go-to resource.

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I mean, to me that is, that's how
you have to be positioned, right?

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To where everybody's constantly coming
back to you, but you're unlocking new

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opportunities because, you know, you,
you do have all the connections, but

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I, but to me, it just, it, it comes
back down to what you're solving

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for is predictable, consistent.

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Customer acquisition, really being
able to, to have that engine.

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Uh, and I think more importantly,
you know, the value you bring.

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Right?

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What's the value that
you absolutely bring?

229
00:11:07,020 --> 00:11:10,740
I was listening to, to something with
Ryan d the other day, and he's just like.

230
00:11:11,939 --> 00:11:13,485
He, he was talking about goals.

231
00:11:13,485 --> 00:11:15,584
He's like, I get, so he goes, I laugh.

232
00:11:15,615 --> 00:11:16,814
You know how Ryan is.

233
00:11:16,814 --> 00:11:18,944
And he's goes, I just, I
just, I laugh at these people.

234
00:11:18,944 --> 00:11:21,225
They're talking about what
their goals are and I'm like,

235
00:11:21,314 --> 00:11:22,665
well, what value do you provide?

236
00:11:23,745 --> 00:11:24,855
Mm. Answer that question first.

237
00:11:24,855 --> 00:11:26,145
What value do you provide?

238
00:11:26,385 --> 00:11:27,464
Then you can set goals.

239
00:11:27,525 --> 00:11:28,365
You barely see it.

240
00:11:28,365 --> 00:11:30,735
It is a add value.

241
00:11:30,824 --> 00:11:31,125
Like that.

242
00:11:31,125 --> 00:11:31,725
That's value.

243
00:11:31,935 --> 00:11:32,685
That is the game.

244
00:11:32,954 --> 00:11:33,165
Yeah.

245
00:11:33,255 --> 00:11:34,545
Um, yeah.

246
00:11:34,545 --> 00:11:35,745
Dude, you go back to Cal Whistle.

247
00:11:35,745 --> 00:11:38,745
You got me thinking too, so
like part of me, part of me.

248
00:11:39,645 --> 00:11:42,285
Cringes when I hear,
you know, acquisition.

249
00:11:42,285 --> 00:11:44,354
'cause like there's so many moving parts.

250
00:11:45,045 --> 00:11:49,185
Um, but it, when you look at
how inefficient most of these

251
00:11:49,185 --> 00:11:53,295
operations are, and you, and you
understand, especially with ai, I

252
00:11:53,295 --> 00:11:55,935
mean, I, we had a fa fascinating
conversation about that this morning.

253
00:11:55,935 --> 00:11:59,925
Like, you know, I, I can, you know, I
can put 10 agents on leads and they'll,

254
00:11:59,985 --> 00:12:02,805
you know, a, a certain percentage
of 'em will call 'em a certain

255
00:12:02,834 --> 00:12:06,135
percentage of the time and then the
rest of 'em will say the right thing

256
00:12:06,135 --> 00:12:07,605
a certain percentage of the time.

257
00:12:07,610 --> 00:12:07,699
Mm-hmm.

258
00:12:07,964 --> 00:12:11,355
And we're, we are literally
already, it's already there.

259
00:12:11,355 --> 00:12:12,194
It's like it's already happening.

260
00:12:12,194 --> 00:12:13,275
People are already adopting it.

261
00:12:13,875 --> 00:12:17,265
A hundred percent of the time it does
what it's supposed to and says the right

262
00:12:17,265 --> 00:12:18,225
thing a hundred percent of the time.

263
00:12:18,225 --> 00:12:22,485
What are the efficiencies that I feel
like teams now and brokerages now

264
00:12:22,485 --> 00:12:24,615
that provide the customer acquisition?

265
00:12:25,125 --> 00:12:25,995
Uh, for agents?

266
00:12:26,265 --> 00:12:30,376
The gains in efficiency
across that at scale are, um.

267
00:12:31,485 --> 00:12:36,615
The biggest lift to what we'll see in,
in, you know, in team productivity mm-hmm.

268
00:12:36,944 --> 00:12:37,905
Um, that we've ever seen.

269
00:12:37,905 --> 00:12:38,084
Right.

270
00:12:38,084 --> 00:12:43,365
We try to do it with more manual labor,
um, you know, ISAs on those calls,

271
00:12:43,365 --> 00:12:46,725
you know, there, there, and you know,
you gain some percentage points be

272
00:12:46,725 --> 00:12:49,005
like, what will be the effective net?

273
00:12:49,680 --> 00:12:53,040
Increase in productivity when a hundred
percent of the calls get made when they're

274
00:12:53,040 --> 00:12:55,440
supposed to, and they say a hundred
percent the right thing every time.

275
00:12:55,740 --> 00:12:56,220
Every time.

276
00:12:56,460 --> 00:12:57,540
And that becomes the norm.

277
00:12:57,540 --> 00:13:00,720
And so, you know, I've had, I've,
I've, you know, every time now I get

278
00:13:00,720 --> 00:13:02,820
a call and it's, you know, I don't
know that everybody's this way at

279
00:13:02,820 --> 00:13:05,580
this point, but, you know, if I get
on a call and it's say ai, I'm like,

280
00:13:05,610 --> 00:13:06,571
see how smart this one is, right?

281
00:13:06,576 --> 00:13:06,725
Mm-hmm.

282
00:13:06,840 --> 00:13:10,020
Like, I want to just test it so I
can see, okay, you know, am I getting

283
00:13:10,020 --> 00:13:11,220
value out of this conversation?

284
00:13:11,220 --> 00:13:13,320
'cause if I am, I'll just keep
talking until I figure out what

285
00:13:13,320 --> 00:13:14,085
the hell it is it's trying to do.

286
00:13:14,085 --> 00:13:14,365
Mm-hmm.

287
00:13:14,580 --> 00:13:16,320
And so if it's in a,
you know, if, if it's.

288
00:13:16,495 --> 00:13:19,555
Something that I'm trying to do and
it's helping me, I'm gonna use it as

289
00:13:19,555 --> 00:13:21,210
leverage no different than I use chat GPD.

290
00:13:21,210 --> 00:13:21,410
Mm-hmm.

291
00:13:21,655 --> 00:13:25,735
And so, um, and so it's interesting, you
know, that that adoption curve will be

292
00:13:25,975 --> 00:13:29,610
a lot slower probably than, um, it may
be faster than most people think, right?

293
00:13:29,610 --> 00:13:29,850
Mm-hmm.

294
00:13:29,930 --> 00:13:31,195
I think, I think that's probably true.

295
00:13:31,195 --> 00:13:32,245
It'll be faster.

296
00:13:32,515 --> 00:13:35,485
Uh, the adoption of, you know,
I don't mind talking to AI

297
00:13:35,485 --> 00:13:36,595
because AI's getting me to.

298
00:13:37,155 --> 00:13:38,085
Why are we using ai?

299
00:13:38,115 --> 00:13:39,405
'cause it gets us to the goal faster.

300
00:13:39,405 --> 00:13:40,455
We're able to get the answer faster.

301
00:13:40,670 --> 00:13:41,445
I I trust it more.

302
00:13:41,445 --> 00:13:44,235
It's gonna be more accurate
and, and the thing Yeah.

303
00:13:44,235 --> 00:13:45,555
As long as I can trust it.

304
00:13:45,855 --> 00:13:46,305
Yeah.

305
00:13:46,515 --> 00:13:50,115
I broke Chad with GPT twice now
and it lied to me and so, you know.

306
00:13:50,175 --> 00:13:50,325
Mm-hmm.

307
00:13:50,565 --> 00:13:52,665
Me and Chad, GPT and
Crock, I broke 'em both.

308
00:13:53,525 --> 00:13:55,415
You know, I said, you
know, I'm losing trust.

309
00:13:55,415 --> 00:13:57,335
Like you keep telling me you're gonna
do something and you're not doing it.

310
00:13:57,335 --> 00:13:57,845
What does that mean?

311
00:13:57,845 --> 00:13:58,745
Oh, I'm you, oh, I'm so sorry.

312
00:13:58,745 --> 00:13:59,405
I know I shouldn't do this.

313
00:13:59,410 --> 00:13:59,795
Da da da.

314
00:13:59,795 --> 00:14:00,725
And then it would give another time.

315
00:14:00,725 --> 00:14:02,314
It would get it done by, it's
like it didn't get it done.

316
00:14:02,525 --> 00:14:05,645
It's, and it doesn't know how to not
say it can do what it can't do, but it

317
00:14:05,645 --> 00:14:06,845
couldn't do what I was asking it to do.

318
00:14:06,845 --> 00:14:08,495
But it kept thinking it was interesting.

319
00:14:08,705 --> 00:14:11,915
But, um, you know, so like, you know,
I lose, I lost a little bit of trust

320
00:14:11,915 --> 00:14:16,444
because the, the task I was having to
do, which was suggested by both Chad,

321
00:14:16,444 --> 00:14:20,105
DBT and GRA is like, take a photo of
all, all of your slabs, of all my cards.

322
00:14:20,105 --> 00:14:20,345
Right.

323
00:14:20,345 --> 00:14:21,845
I was just trying to get it in a database.

324
00:14:22,395 --> 00:14:24,975
And I was like, I can take pictures of
all this, and you'll take that photo

325
00:14:24,975 --> 00:14:28,335
and you'll extrapolate all that data
and throw it into a spreadsheet for me.

326
00:14:28,485 --> 00:14:29,235
Yeah, I'll do that.

327
00:14:29,235 --> 00:14:30,405
I can have it done by this time.

328
00:14:30,405 --> 00:14:31,725
You know, and then it never,
it just couldn't do it.

329
00:14:31,725 --> 00:14:33,705
It couldn't read the
slabs for whatever reason.

330
00:14:34,080 --> 00:14:37,770
And, um, and it, anyway, so, you know,
there the trust is important and I

331
00:14:37,770 --> 00:14:41,430
think, you know, sooner than later it's
gonna be always giving you the right

332
00:14:41,430 --> 00:14:42,870
answer, always giving you what you want.

333
00:14:42,870 --> 00:14:45,840
And, and, you know, the, the
AI conversation is almost as

334
00:14:45,840 --> 00:14:49,110
valuable or more valuable and more
trusted than even a human right.

335
00:14:49,110 --> 00:14:50,610
You know, you know what's crazy too?

336
00:14:50,790 --> 00:14:55,860
I don't, I don't mind it anymore
because I, I know it's gonna get me

337
00:14:55,860 --> 00:14:59,700
there faster and connect it faster
than, than with the human, however.

338
00:15:00,660 --> 00:15:04,830
What I'm starting to experience
though, once I can get through the AI

339
00:15:05,190 --> 00:15:09,030
and it does get you to a human, it's
getting you to a rockstar, right?

340
00:15:09,030 --> 00:15:11,640
So it's starting to replace
all the entry level.

341
00:15:12,255 --> 00:15:15,585
Right folks, like you said, you know,
they might be hungover, they might be

342
00:15:15,585 --> 00:15:19,185
battling, they might have just, you
know, kicked the dog on the way to work.

343
00:15:19,185 --> 00:15:20,835
They might, you know, they
just be in a bad mood.

344
00:15:20,835 --> 00:15:23,745
And you, you just, you're, you're
dealing with the emotional fluctuation.

345
00:15:23,745 --> 00:15:25,365
You're not, you not the consistency.

346
00:15:25,365 --> 00:15:26,865
You not gonna know what you're gonna get.

347
00:15:27,105 --> 00:15:31,995
So, like, I literally don't mind it as
long as it's getting me where it is.

348
00:15:32,055 --> 00:15:32,145
Yeah.

349
00:15:32,265 --> 00:15:34,275
But it's getting better
and it's getting better.

350
00:15:34,695 --> 00:15:37,845
And so I think we're definitely
gonna see that consistency because,

351
00:15:38,535 --> 00:15:39,555
you know, I was sitting in here.

352
00:15:40,260 --> 00:15:45,990
And, um, listening to, uh, dur DER's
team was on, you know, they're a part

353
00:15:45,990 --> 00:15:50,550
of place, so they were in listening
and they're kind of going through and

354
00:15:51,300 --> 00:15:53,700
they know, I mean, the data's the data.

355
00:15:53,880 --> 00:15:54,570
It's there.

356
00:15:54,960 --> 00:15:59,280
They know when you have x number of market
reports, it equals X number of listings.

357
00:15:59,550 --> 00:16:03,450
You have x number of home search,
it equals X number of clients.

358
00:16:04,380 --> 00:16:08,550
Yet the data's there, but yet the
agent still won't make the phone calls.

359
00:16:08,640 --> 00:16:08,790
Mm-hmm.

360
00:16:09,030 --> 00:16:11,370
They just still like, and, and listen.

361
00:16:11,370 --> 00:16:13,050
They know they have the best of intent.

362
00:16:13,080 --> 00:16:15,420
They just won't do it.

363
00:16:16,260 --> 00:16:16,620
Why?

364
00:16:16,680 --> 00:16:18,300
Like, that's the definition of insanity.

365
00:16:18,450 --> 00:16:21,540
So, so why, why are you
gonna keep pushing on them?

366
00:16:21,540 --> 00:16:21,870
Why?

367
00:16:21,930 --> 00:16:26,100
Like AI is going to just
make that just seamless.

368
00:16:26,100 --> 00:16:27,150
It's gonna happen every time.

369
00:16:27,150 --> 00:16:29,335
It's gonna be consistent and it's, it's.

370
00:16:30,000 --> 00:16:32,370
I mean, at the, at the end of
the day, the consumer, like,

371
00:16:32,430 --> 00:16:33,449
you're following up with me.

372
00:16:33,449 --> 00:16:34,229
Speed of response.

373
00:16:34,229 --> 00:16:37,229
I mean, what is the, what is the
average speed to lead these days?

374
00:16:37,229 --> 00:16:37,829
Days.

375
00:16:38,310 --> 00:16:40,140
Like it's, it's wild.

376
00:16:40,979 --> 00:16:41,160
Yeah.

377
00:16:41,160 --> 00:16:44,880
That's, I mean, there's the, when you
really extrapolate that and, and we, we

378
00:16:44,880 --> 00:16:49,199
should, we should take some of the, the
baseline data that we have in the years

379
00:16:49,199 --> 00:16:53,640
of experience of doing this and, and,
and run that through Chad's GPT and say,

380
00:16:53,640 --> 00:16:55,800
what would the efficiencies gained be?

381
00:16:56,670 --> 00:16:58,290
Um, and see what it gives us back.

382
00:16:59,010 --> 00:17:03,420
You know, it's, and, and again, I think
the, the, the piece that's super important

383
00:17:03,420 --> 00:17:08,940
is that, you know, you know, it's like
when I want an expert at the end of

384
00:17:08,940 --> 00:17:12,720
that con, when I get to human, it better
be the best human, you know, possible.

385
00:17:12,929 --> 00:17:15,599
Not the new one that, you know,
that wouldn't make the calls.

386
00:17:15,629 --> 00:17:17,520
And I'm doing it on
behalf of those people.

387
00:17:17,520 --> 00:17:19,260
Those people are gonna
be out of the business.

388
00:17:19,560 --> 00:17:19,710
Yeah.

389
00:17:19,710 --> 00:17:23,550
I think it's gonna shrink, you know,
your, it's gonna increase productivity

390
00:17:23,730 --> 00:17:26,244
of your top 20, 30% of agents mm-hmm.

391
00:17:26,325 --> 00:17:26,925
That are actually.

392
00:17:27,750 --> 00:17:31,830
Good at what they do, and you know,
we're going get rid of the agents

393
00:17:31,830 --> 00:17:34,004
that, that, that it's not gonna be, it.

394
00:17:34,010 --> 00:17:37,800
It was such a volume game for so long to
scale the teams like, you just gotta know,

395
00:17:37,800 --> 00:17:41,310
you gotta recruit, uh, you know, over
and over and over and over and replace

396
00:17:41,310 --> 00:17:42,840
the crappy ones with more crappy ones.

397
00:17:42,840 --> 00:17:42,930
Mm-hmm.

398
00:17:42,930 --> 00:17:45,870
And every once in a while, while it'll
become good, I just think that that's

399
00:17:45,899 --> 00:17:48,540
gonna, that has to shift at some point.

400
00:17:48,659 --> 00:17:51,870
Um, you know, the, the, but
yeah, it's, it, it, it's.

401
00:17:52,365 --> 00:17:54,525
It's the most thing, it's the
thing I'm most interested in

402
00:17:54,525 --> 00:17:59,055
watching the efficiencies gained
and, and productivity of teams.

403
00:17:59,055 --> 00:18:01,215
And I think teams are gonna
grow bigger and faster than

404
00:18:01,215 --> 00:18:02,415
they ever have because of it.

405
00:18:02,415 --> 00:18:02,715
Mm-hmm.

406
00:18:02,955 --> 00:18:03,705
Yeah, man, it's cool, man.

407
00:18:03,705 --> 00:18:04,335
It's awesome, dude.

408
00:18:04,335 --> 00:18:04,875
I love it.

409
00:18:04,879 --> 00:18:08,535
It's an, it's in, it's, it's the
inefficiencies, but it's redesigning,

410
00:18:08,775 --> 00:18:11,145
you know, like you said, we're ta,
we're talking about efficiencies,

411
00:18:11,145 --> 00:18:12,315
but how do you design it?

412
00:18:12,315 --> 00:18:14,745
And so, you know, makes me think.

413
00:18:15,270 --> 00:18:20,280
Um, watched, watched the, um, where
the McDonald's brothers on the

414
00:18:20,280 --> 00:18:24,360
tennis court drew out the, the first
remember So three iterations Yeah.

415
00:18:24,360 --> 00:18:26,310
Where they lay out the, the McDonald's.

416
00:18:26,490 --> 00:18:26,700
Yep.

417
00:18:27,060 --> 00:18:30,360
And it's, but it's, it's the
visualization and it's gotta be, it

418
00:18:30,360 --> 00:18:32,160
can't be complex, it's gotta be simple.

419
00:18:32,160 --> 00:18:34,440
It's gotta be efficient
in how the work gets done.

420
00:18:34,950 --> 00:18:37,050
And, and remember, it's
the who not how concept.

421
00:18:37,050 --> 00:18:43,080
It's like, okay, what, how, how
do we get ai the who to help us?

422
00:18:43,590 --> 00:18:47,280
You know, make this as seamless
and as efficient as possible.

423
00:18:47,280 --> 00:18:50,370
I got, so, alright, so let's, let's
play this, play with this for a second.

424
00:18:50,370 --> 00:18:50,640
All right.

425
00:18:50,640 --> 00:18:54,870
So, so like, think about you put your, put
put yourself in the mind of the consumer.

426
00:18:54,870 --> 00:18:56,550
I've never actually
thought about it this way.

427
00:18:56,580 --> 00:18:56,820
Okay.

428
00:18:56,820 --> 00:19:00,360
So, and, and I have, I guess 'cause
I think about like, hey, once you

429
00:19:00,360 --> 00:19:03,450
understand, like when we're running
an ad and we, and we say this price

430
00:19:03,450 --> 00:19:05,910
point, this location, this product.

431
00:19:06,885 --> 00:19:10,605
This image, who's the most likely
buyer, and Chad, GPD comes back and

432
00:19:10,605 --> 00:19:11,865
says, here's your two buyer profiles.

433
00:19:11,865 --> 00:19:13,605
The people that are buying
today got jobs here.

434
00:19:13,605 --> 00:19:15,044
They're moving from here, here, and here.

435
00:19:15,044 --> 00:19:15,045
Mm-hmm.

436
00:19:15,090 --> 00:19:17,324
Or they're local and they're trying to
get their kids in this school district.

437
00:19:17,324 --> 00:19:18,405
It gets you all this data.

438
00:19:18,405 --> 00:19:18,794
Right?

439
00:19:19,095 --> 00:19:22,965
And so if that person gets on a
call with ai, it no longer just

440
00:19:22,965 --> 00:19:24,135
knows how to handle objections.

441
00:19:24,135 --> 00:19:28,304
Most people are filling the, the,
the AI with content related to

442
00:19:28,304 --> 00:19:29,564
just getting to the appointment.

443
00:19:29,804 --> 00:19:34,274
But what is that person's hopes, fears,
concerns, desires, that if they asked.

444
00:19:34,620 --> 00:19:37,080
Yeah, what, you know,
where are you moving from?

445
00:19:37,080 --> 00:19:40,110
And AI's and they, and AI's asking
it where you're moving from.

446
00:19:40,110 --> 00:19:43,290
And then it knows what your biggest
concerns, fears, and desires are.

447
00:19:43,409 --> 00:19:47,760
How it can talk to you is how I would
talk to you as a human if I knew

448
00:19:47,760 --> 00:19:49,170
that information as well, right?

449
00:19:49,170 --> 00:19:49,171
Mm-hmm.

450
00:19:49,215 --> 00:19:51,120
And so I think that's been missing.

451
00:19:51,120 --> 00:19:55,055
And most of these AI that's rolled
out, they're not uploading the, the.

452
00:19:56,010 --> 00:20:02,250
Market information and understanding that
piece so that it can talk directly to,

453
00:20:02,430 --> 00:20:06,450
hey, if this is your biggest concern,
you know, out-of-pocket expenses.

454
00:20:06,450 --> 00:20:08,550
You know, most people moving
from California, their biggest

455
00:20:08,550 --> 00:20:10,230
concern is this, this, and this.

456
00:20:10,530 --> 00:20:14,010
Um, and when Nick can start having
the conversation, that's more value.

457
00:20:15,010 --> 00:20:18,190
Than what any person could
probably have consistently.

458
00:20:18,400 --> 00:20:21,910
That's when, that's when I'm gonna talk
to it about, okay, well what about this?

459
00:20:21,910 --> 00:20:23,680
All right, well what, that's
what happens when I get into a

460
00:20:23,680 --> 00:20:26,680
chat GPT wormhole, is I ask it a
question and it gives me some shit.

461
00:20:26,680 --> 00:20:28,780
I didn't even think about it and
knew the answer to what I was.

462
00:20:28,900 --> 00:20:31,090
It was, it was thinking about what
I should have been thinking about

463
00:20:31,090 --> 00:20:31,990
when I was thinking about it yet.

464
00:20:32,260 --> 00:20:34,810
Yes, that's a really interesting.

465
00:20:35,065 --> 00:20:38,004
Um, you know, and again, it's only
as good these bot these, you know,

466
00:20:38,004 --> 00:20:41,065
these AI agents are only gonna be
as good as the information it's fed.

467
00:20:41,275 --> 00:20:41,515
Mm-hmm.

468
00:20:41,754 --> 00:20:45,325
So I think that when you take all the
things we're doing to front end generate

469
00:20:45,325 --> 00:20:48,715
the lead, and you put that on the back
end for the conversation, that's where

470
00:20:48,715 --> 00:20:50,035
it's gonna become super powerful.

471
00:20:50,035 --> 00:20:51,175
I'm ready to go build one now.

472
00:20:51,180 --> 00:20:52,975
Super and super, super powerful.

473
00:20:52,975 --> 00:20:55,045
But let's go back to the very
first thing that we said.

474
00:20:55,045 --> 00:20:55,795
You know, that, that.

475
00:20:56,090 --> 00:21:00,260
Ryan talks about before even setting
goals is what is your value proposition?

476
00:21:00,290 --> 00:21:00,379
Mm-hmm.

477
00:21:00,379 --> 00:21:03,110
Like what are you uniquely
qualified to help somebody do?

478
00:21:03,320 --> 00:21:03,409
Mm-hmm.

479
00:21:03,740 --> 00:21:05,419
And that's where it has to start, right?

480
00:21:05,419 --> 00:21:09,590
So now, if, and, and I've seen that
so I can't wait for you to look at it.

481
00:21:09,590 --> 00:21:15,020
So, you know, within, within
Huey, you've got Spark, right?

482
00:21:15,020 --> 00:21:16,010
You've got the whole spark pad.

483
00:21:16,010 --> 00:21:16,820
That's the very first thing.

484
00:21:16,820 --> 00:21:19,730
It's like, like chat, GPT custom,
GPT built for real estate.

485
00:21:20,149 --> 00:21:23,389
Then you got the best tool I've ever
seen, which is satori, but he's got one

486
00:21:23,389 --> 00:21:24,800
that's even cooler and it's called Sphere.

487
00:21:25,409 --> 00:21:29,820
And this is where all, all it's,
all you need is a name and an email

488
00:21:29,820 --> 00:21:34,409
address, but you have to make sure you
know what your value proposition is

489
00:21:34,409 --> 00:21:39,389
first, because when you have your value
proposition and you meet somebody and

490
00:21:39,389 --> 00:21:45,480
you put in their all and, and it pulls
up all of their information and their

491
00:21:45,480 --> 00:21:49,230
disc profile and like it's bananas.

492
00:21:49,260 --> 00:21:52,050
All the information you can get off of
somebody with a name and an email address.

493
00:21:52,920 --> 00:21:57,990
And then it knows your value proposition
and it knows who they are, and it tells

494
00:21:57,990 --> 00:22:02,430
you exactly how to communicate with
them based upon what's keeping them up

495
00:22:02,430 --> 00:22:06,030
at night and what they, what they want
to accomplish and their personality in

496
00:22:06,030 --> 00:22:08,220
alignment to your value proposition.

497
00:22:08,280 --> 00:22:08,580
Yeah.

498
00:22:08,580 --> 00:22:08,640
Yeah.

499
00:22:09,720 --> 00:22:12,870
And so being able to do that with,
with, with, with sellers, being

500
00:22:12,870 --> 00:22:14,640
able to do that with buyers, right?

501
00:22:14,640 --> 00:22:16,560
We're talking about, you know,
that's where on the recruiting

502
00:22:16,560 --> 00:22:18,270
side with, with agents.

503
00:22:19,260 --> 00:22:21,030
But it's the same thing, right?

504
00:22:21,030 --> 00:22:27,389
Like if, you know, like, like if you know
your, your value proposition, so like,

505
00:22:27,899 --> 00:22:29,399
let's take Renee for example, right?

506
00:22:29,850 --> 00:22:30,210
Renee.

507
00:22:30,270 --> 00:22:34,080
Renee Velasquez, og
Honey Badger Cleveland.

508
00:22:34,439 --> 00:22:34,679
Yep.

509
00:22:35,040 --> 00:22:37,560
Her niche is that.

510
00:22:38,760 --> 00:22:40,650
Last transition, right?

511
00:22:40,860 --> 00:22:41,040
Yep.

512
00:22:41,085 --> 00:22:44,340
Of, of just because of what she's had
to go through with her, with, with

513
00:22:44,340 --> 00:22:45,900
her parents over the last two years.

514
00:22:46,440 --> 00:22:52,050
Like she just understands the emotional
that happens in that last move.

515
00:22:52,140 --> 00:22:57,150
And you've got a home that has a
couple possible outcomes, right?

516
00:22:57,150 --> 00:22:58,290
Who's gonna get the home?

517
00:22:58,560 --> 00:23:02,760
You've got parents that, or you
got kids that love their parents.

518
00:23:02,760 --> 00:23:04,680
You got kids that want nothing
to do with their parents.

519
00:23:04,710 --> 00:23:05,190
Then you got.

520
00:23:06,605 --> 00:23:10,605
If they don't even have any kids, the
house just ends up with, with distant

521
00:23:10,605 --> 00:23:12,794
niece or or nephew or or cousin.

522
00:23:13,304 --> 00:23:16,574
And so you got all these different, but
just think about from an AI perspective

523
00:23:16,574 --> 00:23:21,284
to be able to help navigate, 'cause
that's your value proposition of how

524
00:23:21,284 --> 00:23:24,044
you can help them in the best scenario.

525
00:23:24,254 --> 00:23:28,754
You talk about speed and just efficiencies
and I just think through, bro, the

526
00:23:28,754 --> 00:23:32,090
months on the whiteboard of how we
would work through these scenarios.

527
00:23:33,254 --> 00:23:36,345
Months we would spend with
stuff on the whiteboard, working

528
00:23:36,345 --> 00:23:38,955
through growth engines, working
through value propositions,

529
00:23:38,955 --> 00:23:40,125
working through efficiencies.

530
00:23:41,085 --> 00:23:42,794
Now done in just a matter of moments.

531
00:23:43,004 --> 00:23:43,544
It's wild.

532
00:23:44,385 --> 00:23:45,705
Yeah, dude, it's wild.

533
00:23:46,725 --> 00:23:47,355
Super wild.

534
00:23:47,985 --> 00:23:48,764
Fun times.

535
00:23:48,764 --> 00:23:49,514
Fun times.

536
00:23:49,665 --> 00:23:50,325
Fun times.

537
00:23:50,325 --> 00:23:53,534
Speaking of fun times, we've
got, um, an epic event coming up.

538
00:23:53,715 --> 00:23:54,345
Um.

539
00:23:54,690 --> 00:23:57,810
We're about what, six weeks, seven
weeks out as we will be backing

540
00:23:57,810 --> 00:24:01,980
the land for agent to CEO, um, CLE.

541
00:24:02,460 --> 00:24:06,390
Um, I think we're what, a little
over halfway tickets sold.

542
00:24:06,600 --> 00:24:10,980
Um, and I think VIP is pretty dang
close to being sold out, so we'll get

543
00:24:10,980 --> 00:24:12,300
a, we'll get a solid update on that.

544
00:24:12,300 --> 00:24:17,281
But if you guys are looking for the
premier event to really, you know.

545
00:24:18,000 --> 00:24:19,530
Accelerate and grow your business.

546
00:24:19,530 --> 00:24:20,550
The whole evolution.

547
00:24:20,850 --> 00:24:22,080
It is agent to CEO.

548
00:24:22,139 --> 00:24:25,530
Um, we've got a heck of a cause
with rock the spectrum as well.

549
00:24:25,590 --> 00:24:30,240
Um, go to honey imagination.com,
check out all of the details there.

550
00:24:30,240 --> 00:24:33,570
For agent to CEOI know
we've got rockstar lineup.

551
00:24:33,960 --> 00:24:40,560
Uh, Ms. Tina, call Mr. Blake Sloan,
Veronica Figueroa, um, you know, Albi,

552
00:24:40,649 --> 00:24:45,480
yourself, me, um, and a. Host of others.

553
00:24:45,540 --> 00:24:48,210
So I'm, I'm really looking
forward to yeah, getting back

554
00:24:48,210 --> 00:24:50,399
into the land for that event.

555
00:24:52,169 --> 00:24:54,840
Events are more important now than
they've ever been because the amount

556
00:24:54,840 --> 00:24:57,960
of things that happened between one
event that you went to six months

557
00:24:57,960 --> 00:24:59,939
ago to the next six months is Yeah.

558
00:25:00,149 --> 00:25:00,960
Fascinating.

559
00:25:01,439 --> 00:25:03,870
Yeah, it's going fast for sure.

560
00:25:05,040 --> 00:25:07,260
'cause Appreciate it as always.

561
00:25:07,290 --> 00:25:11,429
And um, you guys out there, if
you need anything, hit us up.

562
00:25:11,550 --> 00:25:12,721
Um, and, uh.

563
00:25:13,409 --> 00:25:15,690
Make sure you guys check
out honey badger nation.com.

564
00:25:16,169 --> 00:25:20,250
Check out, um, agent to CEO, and uh,
we'll see you guys on the next episode.

565
00:25:21,780 --> 00:25:22,649
Thanks for tuning in.

566
00:25:23,040 --> 00:25:27,030
If you're done guessing and ready to
lead like a real CEO with a custom

567
00:25:27,030 --> 00:25:31,440
strategy, real accountability and
proven systems, check out my executive

568
00:25:31,440 --> 00:25:34,169
one-on-one coaching@johnkitchens.coach.

569
00:25:34,560 --> 00:25:37,260
Fill out the application and book
your one-on-one call with me.

570
00:25:38,040 --> 00:25:40,080
Be sure to hit follow so
you never miss an episode.

571
00:25:40,919 --> 00:25:41,760
Catch you on the next one.

