00:00:00
have you thought about adding an amenity
00:00:01
to your short-term rental wondering
00:00:03
should I add a pool how will it affect
00:00:05
my expenses and overall will this be a
00:00:08
good return on investment today let's
00:00:10
walk through the analysis if we haven't
00:00:12
met yet hi my name is Lydia and I
00:00:14
operate a beach house Airbnb down in
00:00:16
Florida and this very question whether
00:00:19
or not to add a pool has been on my mind
00:00:21
for the past few months at first glance
00:00:23
the disparity between pool versus no
00:00:26
pool in a five-bedroom house in my
00:00:28
market appears to be $30,000 of Revenue
00:00:31
per year but before we drop $100,000
00:00:35
into this fresh new amenity let's do a
00:00:37
deeper dive on all the data your Market
00:00:40
might be different than mine and your
00:00:41
amenity of choice might be different
00:00:42
than mine but the process should very
00:00:44
much be the same Step One is deciding
00:00:47
which amenity to even look into for me
00:00:49
personally how I decided to look into a
00:00:51
pool is because pools in my area is
00:00:53
actually quite common it's obviously fun
00:00:56
in the warmer months to dip into a pool
00:00:58
and cool off but in the cooler months
00:01:00
like right now as I'm filming it it's
00:01:02
like snowing in Minnesota we get a lot
00:01:04
of outof State snowbirds and they would
00:01:07
love to come to a place that has still
00:01:09
warmish outdoors and a heated pool when
00:01:11
I look at my market overall and kind of
00:01:13
sort all the listings by highest
00:01:15
performing by Revenue the top ones are
00:01:17
often properties with a pool so as I was
00:01:20
going through my monthly review of the
00:01:21
market data in my area NPS everyone
00:01:24
should be doing this periodically to
00:01:26
stay up to date on their Market I was
00:01:27
just kind of clicking around on the
00:01:29
amenity filters on air DNA and that's
00:01:31
how I stumbled upon this difference in
00:01:33
revenue and it's been on my to-do list
00:01:35
to look into further ever since a huge
00:01:38
shout out to airdna for partnering with
00:01:40
us on this video I've been relying on
00:01:42
their Market data for my decision-making
00:01:44
process and you can give them a try for
00:01:46
free using the link in the description
00:01:48
box below they also have a paid
00:01:49
subscription option for more granular
00:01:52
details on the amenity filters and
00:01:53
whatnot step two after you've decided
00:01:56
what amenity you'd like to look into you
00:01:58
need to determine your comparator groups
00:02:01
for example if you were me you could
00:02:02
compare like five bedroom listings with
00:02:05
a pool versus five-bedroom listings
00:02:07
without a pool however in my area just
00:02:10
looking at the five bedroom houses would
00:02:12
be too small of a sample size not to be
00:02:14
a giant nerd but you need sufficient
00:02:17
sample sizes to make sure the outliers
00:02:19
don't have an outsized effect and if you
00:02:21
think about it my five-bedroom house
00:02:23
could at maximum house 12 guests but not
00:02:27
everyone who's booking my house is
00:02:29
exactly 12 people people some of them
00:02:30
might be eight people nine people and
00:02:32
they could be looking at a whole host of
00:02:34
other listings that could fit their
00:02:37
needs so kind of working backwards
00:02:38
knowing my target audience what are the
00:02:41
other properties that might also show up
00:02:43
in their search I decided in this case
00:02:45
the most applicable comparator groups
00:02:47
would be four to six bedroom listings
00:02:49
with a pool versus four to six bedroom
00:02:51
listings without a pool and compare how
00:02:53
they've been doing in terms of Revenue
00:02:55
occupancy all of their data this brings
00:02:57
us to step three a general compar side
00:03:00
by side of the two groups you want to
00:03:02
review the overall Trends in Supply in
00:03:05
demand and occupancy so what you're
00:03:07
doing here is pulling up in your area
00:03:10
filtering by the number of bedrooms and
00:03:12
I also filter by number of guests and
00:03:13
bathrooms to pull up the most relevant
00:03:16
comparison groups all right so pulling
00:03:18
them up side by side on the left hand
00:03:20
side we have the four to six bedroom
00:03:22
listings without a pool and on the right
00:03:24
hand side we have the same size same
00:03:26
number of guests same bathroom listings
00:03:29
but with the pool right away we see that
00:03:32
the annual revenue on average without a
00:03:34
pool is 93,000 versus with a pool is
00:03:38
$122,000 per year the occupancy is also
00:03:41
different by about 10% the average daily
00:03:43
rate um is slightly higher for the pool
00:03:46
group um same for the revar that's also
00:03:49
higher I think this is a sufficient
00:03:51
sample size having 35 versus 36 listings
00:03:54
in each group The amenities I mean
00:03:56
everyone should have air conditioning so
00:03:58
we can skip over that whole part looking
00:04:00
a little bit more under occupancy I
00:04:03
really like this graph and I like to
00:04:05
change it to the last 3 years to kind of
00:04:07
see in detail if there were any
00:04:09
anomalies between one year versus the
00:04:11
next I think on the pool side it kind of
00:04:14
ranges I don't know the Top Line Is It
00:04:16
ranges 50ish to 80% versus on the nopool
00:04:21
side it's like 40ish to Upper 60s so I
00:04:24
think consistently across all the months
00:04:28
having a pool does offer higher
00:04:31
occupancy rates and this trend seems to
00:04:34
be fairly consistent at least in the
00:04:36
past few years I think sometimes
00:04:38
occupancy is interesting to think about
00:04:40
in a weekend heavy Market it really just
00:04:42
means some places are booked for four
00:04:44
nights versus three nights versus two
00:04:46
nights on a weekend but anyway as far as
00:04:48
how long are the guests staying again
00:04:51
switching it to look at the past 3 years
00:04:53
I'd say they're very similar they're
00:04:55
both kind of 3 to 4 day weekends which
00:04:58
is also what I try to aim for this next
00:05:01
graph shows how many bedrooms the
00:05:02
listings have and it kind of just shows
00:05:05
the spread between four five versus six
00:05:07
bedrooms interestingly in the pool
00:05:11
category not as many are six-bedroom
00:05:13
houses but I think I did filter out
00:05:15
places with a ton of bathrooms that
00:05:17
might be the reason further down we have
00:05:19
a supply demand graph and it shows how
00:05:21
many listing days were booked and the
00:05:23
number of booked listings it does look
00:05:25
like the pool demand has gone up but the
00:05:28
supply has also gone up for all we can
00:05:30
tell supply and demand has kind of
00:05:33
matched so it's interesting but nothing
00:05:34
to conclude yet now this one I think is
00:05:37
really important to look at when are the
00:05:39
future reservations being booked and
00:05:42
ideally I would like to see a clear
00:05:44
indication that having a pool means you
00:05:47
get booked out sooner by more guests and
00:05:51
it's not that obvious to me remember
00:05:54
it's 33 35 listings versus 36 listings
00:05:57
so the numbers the nominal numbers are
00:05:59
very similar and looking at for example
00:06:03
christmas-ish week about 20 listings of
00:06:06
each have been booked and it's a very
00:06:08
similar percentage same for kind of
00:06:10
looking towards Spring break it is not
00:06:13
clear and convincing that having a pool
00:06:16
gives you earlier bookings or gives you
00:06:19
a higher guaranteed occupancy booked
00:06:22
farther out if that makes any sense
00:06:24
moving on to kind of the revenue
00:06:26
generated by the listings on average per
00:06:30
month I'd say the nopool listings range
00:06:33
from like a low end of 5,000 in the
00:06:36
month to upwards of 10 11,000 per month
00:06:40
that is fairly consistent with my
00:06:42
experience versus it is definitely
00:06:44
higher for the pool side having higher
00:06:47
revenues per month kind of throughout
00:06:49
the whole year this next graph is
00:06:51
splitting it up by different bedrooms
00:06:52
how much revenue did each listing earn
00:06:55
by bedroom as you can see the four to
00:06:57
five bedroom lines the orange and
00:07:00
purplish ones they've kind of merged
00:07:02
into the same thing this is definitely
00:07:04
different than when I first started out
00:07:06
looking through this just helps me
00:07:08
understand if the averages were pulled
00:07:09
up by the six-bedroom houses or pulled
00:07:12
down by the four-bedroom houses but this
00:07:13
doesn't seem to be that much of a case
00:07:15
in this next graph we're looking at the
00:07:17
distribution of listing Revenue so
00:07:19
comparing the top 10% versus the bottom
00:07:21
10% and everything in between looking at
00:07:24
the nopool side my experience has been
00:07:27
very similar to the pink line kind of in
00:07:29
the top 75th percentile it really ranges
00:07:33
from the bottom to the top how much you
00:07:35
can make a month average daily rate
00:07:38
seems to be consistent throughout the
00:07:40
years and matches with how the revenue
00:07:42
fluctuates by month so nothing too
00:07:44
exciting what was the average daily rate
00:07:46
by bedroom again I think it's promising
00:07:49
to see a clear increase if I were to go
00:07:52
from a five-bedroom no pool to a five
00:07:55
bedroom with a pool comparing these two
00:07:58
graphs the next one I like to look at is
00:08:00
what are guests willing to pay for
00:08:02
future stays cuz so far the data kind of
00:08:05
looks backwards whereas this one kind of
00:08:07
looks forwards and it is actually very
00:08:11
interesting cuz I'm looking at the
00:08:12
spring breakish time in March on the
00:08:15
pool side guests are willing to pay like
00:08:18
$11,000 or so versus actually not really
00:08:22
they're both kind of around the
00:08:24
$800 range with a couple higher spikes
00:08:28
on the pool side I guess that's really
00:08:30
hard to tell if that's an anomaly for
00:08:32
one special super awesome listing versus
00:08:35
is this the average because if you can
00:08:36
look at the purple bar it's quite low
00:08:38
it's not representative of that many
00:08:41
listings and it's also interesting to
00:08:43
see the purple bars are actually lower
00:08:45
on the pool side meaning that there
00:08:47
aren't as many booked listings for
00:08:50
spring break week versus the no pool
00:08:53
side I don't really know what to think
00:08:55
of this it's not clear and convincing
00:08:57
here that the pool is help helping
00:08:59
future revenue and I worry this ties
00:09:02
into the increase in Supply but more to
00:09:04
look into I think revpar is the revenue
00:09:07
per available night which is another
00:09:09
metric you can look at I have found the
00:09:11
pattern to be pretty consistent with
00:09:13
just the revenue throughout each month
00:09:14
now the next thing I want to look at is
00:09:16
this calendar at the end it's kind of
00:09:18
like a heat map the darker the blue the
00:09:21
more popular and booked and more Revenue
00:09:24
generating those weeks are and comparing
00:09:27
the two graphs there is a little bit of
00:09:30
variability July seems to be a hot
00:09:33
season as does kind of the winter
00:09:36
holidays the pool listings might be
00:09:38
doing better during October but March or
00:09:41
spring break wise they're about the same
00:09:43
the summer looks about the same overall
00:09:45
this tells me the pattern is similar all
00:09:47
right and then how far in advance are
00:09:49
guest booking just comparing the two
00:09:52
graphs there are still a lot of last
00:09:55
minute bookings which I don't love for
00:09:57
my sanity but that's okay at the end of
00:09:58
the side by- side comparison to me it
00:10:01
looks like listings with a pool does in
00:10:03
fact generate more Revenue have higher
00:10:05
occupancy higher average daily rates the
00:10:07
pattern of seasonality might not be all
00:10:09
that different it might not mean people
00:10:11
are booking more in advance but overall
00:10:13
it does seem to be making more money
00:10:15
because the amenity in question does
00:10:17
seem to correlate with a higher revenue
00:10:19
generated it makes sense to move on to
00:10:21
the next step which is a deep dive into
00:10:23
each individual listing the objective
00:10:25
here is to go through each listing look
00:10:27
at all the pictures all the information
00:10:30
how they are pacing for future bookings
00:10:32
what rates they are charging the quality
00:10:34
of their meni quality of their pictures
00:10:35
the reviews that they have basically
00:10:37
evaluate all the listings and find out
00:10:39
which ones are most comparable to yours
00:10:42
one way to quickly do that is to use the
00:10:45
export tool if you go back to the main
00:10:48
US market page there is a little icon up
00:10:52
here where you can click and get the
00:10:55
listing in a table format and you can
00:10:57
use the export function to generate a
00:10:59
spreadsheet that you can download I like
00:11:01
to use this as a starting point and then
00:11:03
create my own spreadsheet and I
00:11:05
recommend having the link so you can
00:11:06
have a future reference information on
00:11:09
the Bed Bath and number of guests the
00:11:11
revenue occupancy and average daily rate
00:11:13
kind of data and then I also put my
00:11:15
observations in pluses and minuses
00:11:18
compared to my property so pluses could
00:11:20
be if they are a better location if they
00:11:23
can house more people if they have an
00:11:24
extra bathroom if they are five stars on
00:11:27
300 reviews then that's yeah obviously
00:11:30
better than what I have or they can be
00:11:33
minuses like they are even farther away
00:11:35
from the beach or they are smaller or
00:11:38
the Interiors look dated or the pictures
00:11:40
are bad you get the gist as I go through
00:11:42
listing by listing I also try to clean
00:11:44
up the data a little bit so occasionally
00:11:46
there would be listings that are no
00:11:48
longer listed like this one you click on
00:11:50
the link on Airbnb it directs you just
00:11:53
to the Airbnb main page that might be
00:11:56
because they have closed up the listing
00:11:58
they sold the place or or they are I
00:11:59
don't know shutting it down and
00:12:00
relisting it I've seen people do that
00:12:02
sometimes if I click on the vbo link and
00:12:04
the same thing happens I'm pretty
00:12:06
confident that this listing is no longer
00:12:09
and I'm just going to ignore it I also
00:12:11
take out any duplicates it's not common
00:12:13
but sometimes the arbnb and vbo ones are
00:12:16
not listed together as one thing on
00:12:18
airdna dashboard so if I identify that I
00:12:21
just combine the information as I go
00:12:23
through the listing I click into the
00:12:25
actual Airbnb listing I look at their
00:12:27
pictures their interior design what kind
00:12:30
of amenities they offer so this one has
00:12:32
a pool it's actually a pretty small pool
00:12:35
it's a tiny little rectangle but they
00:12:37
also have a botchy ball situation going
00:12:39
on which looks really fun they are
00:12:41
listed as a guest favorite for having
00:12:44
121 reviews and 4.93 stars they are
00:12:47
managed by a professional property
00:12:49
management company and it looks like
00:12:52
their future dates are booked like a
00:12:54
healthy amount of bookings for future
00:12:56
dates location wise they're a little
00:12:58
farther away from from the beach than
00:13:00
where we are but they're also close to a
00:13:02
nice park so I think we'll call the
00:13:04
location kind of a wash all of these
00:13:06
observations I would categorize as what
00:13:09
bonus points they have and what minus
00:13:10
points they have on my listing and as I
00:13:13
go along I will group together all the
00:13:14
ones that are closest to mine in in a
00:13:17
comps kind of group and then everything
00:13:19
else I will still keep the data but kind
00:13:21
of disregard them for most of my
00:13:23
analyses the other thing you might have
00:13:25
to clean up a little bit as you're going
00:13:26
through the data is sometimes a
00:13:29
amenities like pools or Games Rooms or
00:13:31
whatever amenity you're looking at if
00:13:33
the listing itself didn't check them
00:13:35
properly on the listing website so like
00:13:38
on Airbnb they did not check the pool
00:13:40
button then obviously the data might
00:13:41
transfer incorrectly into air DNA and so
00:13:44
they might be miscategorized as a pool
00:13:47
house but they don't actually have a
00:13:48
pool it happened to a couple listings so
00:13:51
I kind of reverse them and put them into
00:13:53
the right places there's a little bit of
00:13:54
data cleanup that is required in this
00:13:56
step studying your competitor's future
00:13:58
calendar ERS and future bookings is
00:14:00
really important because it shows you if
00:14:03
like I know which weekends I'm booked
00:14:05
and which weekends I'm not and so if a
00:14:08
competitor has booked weekends on my
00:14:10
open weekends it really means at some
00:14:13
point someone searched for staying there
00:14:16
in this market in that weekend and they
00:14:18
chose this listing over mine and overall
00:14:21
I think it helps me gauge where I stand
00:14:23
in terms of like the percentile within
00:14:26
the market and I think it's really
00:14:27
important to have some sense of within
00:14:29
the pool group where I would be and this
00:14:32
is important because you've seen how far
00:14:34
the spread can be top 10% versus the
00:14:37
bottom 10% make a huge difference in
00:14:39
Revenue overall I found this data on
00:14:42
airdna to be pretty reliable it skews I
00:14:44
think just 3 to 5% underestimated just
00:14:47
based on my own listing comparing to
00:14:50
what it guesses I make but I think
00:14:52
that's a reasonable margin of error I
00:14:54
know this step is super tedious you can
00:14:56
probably hire an assistant to help you
00:14:57
with this step as long as you know how
00:14:59
to give clear instructions or you can
00:15:00
send them this video there you go moving
00:15:02
on to step five I think we're ready to
00:15:04
project the revenue with versus without
00:15:06
the pool at this point I have two
00:15:08
spreadsheets one for with pool one for
00:15:10
without with the data cleaned up and
00:15:12
trimmed down to just the comparables I
00:15:14
pull together the mean revenue and also
00:15:17
the median Revenue occupancy average
00:15:19
daily rate as well as the high and low
00:15:21
end of the ranges for not having a pool
00:15:24
AKA as is the most comparable listings
00:15:27
are actually making 80 to 85k for
00:15:30
Revenue last year we've been occupying
00:15:32
kind of the upper end of this nopol
00:15:34
category making around 100,000 in
00:15:37
revenue and kind of just quick glance at
00:15:39
these numbers only seven listings in
00:15:41
this area with no pool made more and
00:15:44
that's consistent with my rough estimate
00:15:46
of kind of being in that top quarter of
00:15:48
that market with the pool we could have
00:15:51
been making maybe $140,000 in Revenue I
00:15:54
think in this table the revenue is
00:15:57
slightly lower than it should be because
00:15:59
the limitation is some of these listings
00:16:01
are new so they don't have a full Year's
00:16:03
worth of data and that's kind of pulling
00:16:05
the averages down if I look mainly at
00:16:07
the average daily rate multiply it by
00:16:09
the occupancy I get closer to maybe
00:16:12
140,000 and the best case scenario if we
00:16:15
extrapolate how we are currently above
00:16:18
average in the no pool situation if we
00:16:20
add a pool we would still be above
00:16:22
average then maybe we could get closer
00:16:25
to
00:16:26
180,000 I don't really think that's fair
00:16:28
generally the pool houses seem all very
00:16:31
professionally managed and
00:16:32
wellmaintained so I think in comparison
00:16:34
we might just be kind of in the middle
00:16:36
the worst case scenario for some of
00:16:38
these places I don't know why I think
00:16:40
they look just fine but it could be
00:16:42
they're on the algorithm's bad side or
00:16:45
they have some pricing errors getting
00:16:46
too many like one or two night weekends
00:16:49
based on those worse off listings for
00:16:51
some reason the revenue I'm projecting
00:16:53
could be as low as $100,000 and that
00:16:56
would be no change than what we already
00:16:58
make another confounding factor is that
00:17:00
a lot of these pool properties have an
00:17:02
additional amenity like mini golf or
00:17:04
botch ball so it's kind of hard and
00:17:07
unfair to say that this difference in
00:17:09
revenue is all due to the pool I'll
00:17:11
never know exactly how much each thing
00:17:13
contributes just based on intuition the
00:17:15
pool is more important but I suppose
00:17:16
it's also a limitation that I don't have
00:17:18
a perfect comparative group with just a
00:17:20
pool added no mini golf no nothing else
00:17:23
overall all that to say if the current
00:17:25
Revenue Trends continue which is a big
00:17:28
if and we'll talk more about that I can
00:17:29
expect to make an additional $40,000 per
00:17:32
year in Revenue by having a pool which
00:17:35
is pretty good so that leads me to the
00:17:37
next step step number six gathering
00:17:39
information on the cost both the initial
00:17:42
cost for starting up and the maintenance
00:17:44
cost for ongoing pool maintenance in our
00:17:47
most recent visit to the beach house we
00:17:48
met with a pool contractor to get some
00:17:50
more information and just get some
00:17:52
questions answered I still have the
00:17:54
actual piece of paper it says
00:17:56
$551,000 obviously this was their
00:17:58
special pricing but either way 60,000
00:18:00
that was less than what I thought a pool
00:18:02
would cost I'm going to guess it's
00:18:04
likely a bit more just the nature with
00:18:06
how these projects go let's say it's
00:18:09
$80,000 pool construction can be paid
00:18:12
for outright by cash or they can be
00:18:14
financed just for easy math I'm going to
00:18:16
assume we're paying cash up front when
00:18:18
we're closer to that decision point we
00:18:20
can play with different numbers on how
00:18:21
to finance it and this and that but I
00:18:23
need this to be a good decision either
00:18:25
way even if we just use cash up front
00:18:28
for maintenance potential repairs pool
00:18:30
heat and an increase of Home Insurance
00:18:33
I'm estimating $6,000 for the year from
00:18:36
what I can tell it could be less it
00:18:37
could be more I was hoping to use a more
00:18:39
conservative estimate just in case there
00:18:42
are more surprises which I I mean I know
00:18:44
there will be more surprises because
00:18:45
this is a new thing that we're doing if
00:18:47
you have a pool in Florida or anywhere
00:18:49
in the southeast of us please let me
00:18:51
know your experience I'd love to hear
00:18:53
what you liked and didn't like any
00:18:55
surprises you had that would really help
00:18:57
me out and then for downtime I'm not
00:18:59
sure we really need to completely close
00:19:01
it and stop hosting for a couple months
00:19:03
versus could we advertise that yeah
00:19:06
there's construction going on here's a
00:19:07
super reduced rate I'm kind of leaning
00:19:09
towards the former because who wants to
00:19:11
stay at a house with construction going
00:19:12
on assuming 12 weeks of no revenue and
00:19:16
I'm picking the slowest months roughly
00:19:18
I'm going to be missing out on $220,000
00:19:21
of Revenue altogether $220,000 of loss
00:19:24
Revenue plus 80,000 of the pool
00:19:26
construction itself that's $100,000 in
00:19:29
upfront investment with all this
00:19:31
information you are now ready for step
00:19:32
number seven which is calculating the RO
00:19:35
or return on investment in the best case
00:19:37
scenario with the $80,000 extra in
00:19:40
Revenue per year taking out maintenance
00:19:42
expenses this is an additional $73,000
00:19:45
of profit per year as a result of
00:19:48
$100,000 of investment so a 73% return
00:19:52
in the worst case scenario zero increase
00:19:54
in Revenue but additional expenses of
00:19:57
6,000 per year this one would be a loss
00:20:00
the more likely case of maybe 140,000 of
00:20:04
Revenue total per year minus expenses
00:20:06
this would give us an additional
00:20:08
$33,000 of profit per year on 100K
00:20:11
investment this is still 34% of return
00:20:14
which is pretty good it would take
00:20:16
altogether about 3 years to fully
00:20:18
recover the cost not included in this
00:20:20
Roi is the change in home equity
00:20:23
theoretically the home value should go
00:20:25
up after we add a pool the numbers I see
00:20:27
are kind of all over the place I'm sure
00:20:29
it depends on the market I've seen
00:20:30
anything from 5 to 8% of the home value
00:20:34
itself to like 50% of the pool cost also
00:20:37
not included are any tax implications
00:20:39
which I think are generally positive
00:20:41
both are going to be very helpful in
00:20:43
recovering that initial sunk cost but
00:20:45
I'd like the pool decision to be a
00:20:47
standalone good decision even without
00:20:49
additional home equity which obviously
00:20:51
can fluctuate based on how the market is
00:20:53
doing in terms of housing prices and
00:20:55
taxes because that's like the last thing
00:20:57
to consider with all of this information
00:20:59
and discussion step eight what is the
00:21:02
final decision this is a really tough
00:21:04
one I think on paper just looking at
00:21:06
this 30ish to 50ish per return that's
00:21:10
excellent and I feel pretty confident in
00:21:12
how I looked at the listings my
00:21:13
comparables My overall methodology on
00:21:16
how I arrived on that number there's
00:21:17
even additional upside that I haven't
00:21:19
included like the home equity and taxes
00:21:21
considering what I could be doing with
00:21:23
my money to invest in all the other
00:21:25
possibilities including buying another
00:21:27
short-term rental
00:21:29
it's hard to beat 30 to 50% returns
00:21:31
Playing devil's advocate though there
00:21:33
are a few reasons not to add the pool
00:21:35
the first one is a math one yeah 30 to
00:21:38
50% return sounds amazing but you can
00:21:40
also phrase it as you need at least 2
00:21:43
years to recover your initial cost what
00:21:46
if I happen to want to sell within those
00:21:48
2 or three years will my partners
00:21:50
because this was a partnership will they
00:21:52
or I need the liquidity for some reason
00:21:55
do I accept the risk of being locked in
00:21:57
I guess technically I could sell anytime
00:21:59
it's not really locked in I guess the
00:22:01
right way to say it is do I accept
00:22:03
potentially just accepting a loss if I
00:22:06
were to sell sooner the second thing to
00:22:08
think about here is the learning curve
00:22:10
of adding a new amenity and all the
00:22:12
maintenance that goes with it and all
00:22:14
the potential surprises which I know
00:22:16
there will be a bunch I feel like I'm
00:22:18
finally at a steady state for learning
00:22:20
the operations of this particular house
00:22:22
and adding an amenity kind of restarts
00:22:24
that whole process it's not a good
00:22:26
enough reason to say no just something
00:22:28
to kind of mentally prepare for and
00:22:30
think about if that's a commitment I
00:22:32
want to make and then lastly this is a
00:22:33
very important one what I projected is
00:22:36
based on past performance and you know
00:22:39
what every investment disclaimer says
00:22:41
past performance does not guarantee
00:22:43
future results forget the pool for a
00:22:45
second take broadly the four to five
00:22:48
bedroom houses when I first started and
00:22:50
was studying the market the five bedroom
00:22:53
houses made significantly more in
00:22:54
Revenue while kind of costing the same
00:22:56
to purchase on the market over time this
00:22:58
difference in Revenue has kind of
00:23:00
diminished and those lines have merged
00:23:02
to the point where four or five bedroom
00:23:04
houses make roughly the same it could be
00:23:07
because the supply has gone up for five
00:23:10
bedroom houses or maybe more people have
00:23:12
noticed the same thing that I've noticed
00:23:14
Revenue declines as the supply goes up
00:23:16
who's to say this can't happen to pool
00:23:17
houses if it does then the duration it
00:23:20
will take to recover that sun cost will
00:23:22
be even longer I see some potential
00:23:25
signs of this the DraStic increase in
00:23:27
Supply in pool house houses over the
00:23:29
past few months past year and also in
00:23:31
the graphs that looked ahead to Future
00:23:33
bookings for the future 180 days the
00:23:36
homes with pools didn't necessarily
00:23:38
command that much more in terms of
00:23:40
occupancy yes the rates are a little bit
00:23:42
higher but the occupancy seems about the
00:23:45
same it would seem to me that there are
00:23:47
people that would be happy to pay for a
00:23:49
kind of expensive still very luxurious
00:23:52
house without the pool when it meant
00:23:55
they didn't pay a premium just for pool
00:23:57
access when they're already so close to
00:23:59
the beach this makes sense to me as a
00:24:02
traveler but I don't know how big a
00:24:04
group this is and whether this is enough
00:24:07
in the future I think all this kind of
00:24:09
goes into predicting the future which
00:24:11
obviously is impossible to do so far
00:24:13
though just based on my observations the
00:24:15
higher end of travel like several
00:24:17
thousand dollar worth of bookings for a
00:24:19
weekend at a beach house kind of travel
00:24:21
that has been somewhat immune to
00:24:23
economic changes in recent times and so
00:24:27
whether this continues to the Future
00:24:29
it's hard to say but at least it looks
00:24:32
promising my plan is to move forward
00:24:34
with getting a survey this would be a
00:24:36
small inexpensive first step to take
00:24:38
because in my city there are limits to
00:24:41
what size pool you can have based on the
00:24:43
lot size that you have for your house in
00:24:45
the meantime I'll also a talk to my
00:24:47
partners to see what they think of this
00:24:49
plan I'll show them all the data and see
00:24:51
what feedback they have see if this
00:24:53
commitment to adding a pool would be
00:24:55
consistent with their goals and then B I
00:24:57
want to talk to people in the area who
00:24:59
have pools I've never had a pool in my
00:25:01
house I just don't really know what to
00:25:02
expect and there's only so much you can
00:25:04
read online I made the mistake of going
00:25:06
to a Reddit Forum to see what people
00:25:08
have complained about for pools and I
00:25:10
saw some horror stories of like dead
00:25:12
animals that fall into the pool and they
00:25:14
get trapped and that is just horrifying
00:25:17
and then C because the most optimal time
00:25:19
to install the pool would be like August
00:25:22
is anyway I have time so the last thing
00:25:25
that I want to do in the meantime is to
00:25:27
continue obs observing this Market
00:25:29
dashboard probably check in like say
00:25:31
around February March to see if this
00:25:34
data has changed over time I already
00:25:36
have my list of comps it would be really
00:25:38
easy and quick to just go through the
00:25:40
same process again but abbreviated and
00:25:43
see if my worries about the increase in
00:25:46
Supply and the decrease in Revenue
00:25:48
whether that is actually happening with
00:25:51
pool properties and also by then we'll
00:25:53
have a clearer outlook on the general
00:25:55
economy anything that's changing with
00:25:57
taxes and rules all the things this was
00:25:59
such a long and nerdy video thank you so
00:26:02
much for kind of talking it out with me
00:26:04
and thank you to airdna for sponsoring
00:26:05
this video I hope you found this useful
00:26:07
or at least entertaining and I will see
00:26:10
you again next time bye