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episode 9: Alban's Secret News + Why We Can't Measure Podcast Subscribers [transcript]


This week Alban shares secret news, we discuss why it's impossible to measure "podcast subscribers," and reveal how many downloads you need to be in the Top 1% of all podcasts.

Check out the 2018 Discover Pods Awards.

Make sure to subscribe to the 5 Minute Mondays podcast to hear our upcoming miniseries on podcast monetization strategies.

Have an idea for something we should talk about? Post it in the Buzzsprout Podcast Community on Facebook and tag one of us to let us know!

Have a question? Shoot us an email at support@buzzsprout.com

Buzzsprout's Dynamic Content tool now allows you to save multiple clips in your Dynamic Content Library and track how many downloads each clip receives. Learn more on our New Features page.


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 2019-09-27  47m
 
 
00:00  Alban
Yeah.
00:00
Imagine
00:00
if
00:00
there
00:01
was
00:01
a
00:01
huge
00:01
discrepancy
00:02
between
00:02
the
00:02
people
00:03
who
00:03
RSVP
00:04
aid
00:04
for
00:04
your
00:04
birthday
00:04
party
00:05
and
00:05
the
00:05
people
00:05
who
00:05
actually
00:06
came
00:07
and
00:07
people
00:07
were
00:07
like,
00:08
wow,
00:08
how
00:08
was
00:08
the
00:08
party?
00:09
It
00:09
was
00:09
awesome.
00:10
200
00:10
RSVPs.
00:11
Cool.
00:12
What'd
00:12
you
00:12
guys
00:12
do?
00:13
Oh,
00:13
the
00:13
four
00:13
of
00:13
us
00:13
hung
00:14
out
00:14
and
00:14
watched
00:14
the
00:14
TV
00:14
.
00:16  Travis
No
00:16
,
00:16
no
00:16
.
00:17
Yeah,
00:17
there
00:17
are
00:17
200
00:18
people
00:18
there.
00:19
No
00:19
,
00:19
it
00:19
sounds
00:19
like
00:19
only
00:19
four
00:20
people
00:20
were
00:20
there.
00:25
Welcome
00:25
back
00:25
to
00:25
buzz
00:25
cast
00:26
guys.
00:26
We've
00:26
got
00:26
the
00:26
usual
00:27
suspects
00:27
here
00:28
and
00:28
today
00:29
we're
00:29
doing
00:29
something
00:30
a
00:30
little
00:30
bit
00:30
different.
00:30
Something
00:31
we
00:31
haven't
00:31
done
00:31
before.
00:32
Albin
00:32
has
00:32
some
00:32
secret
00:33
stuff
00:34
that
00:34
he
00:34
hasn't
00:34
let
00:34
Kevin
00:35
or
00:35
I
00:35
know
00:35
about
00:36
and
00:37
is
00:37
insisted
00:38
that
00:38
we
00:38
be
00:38
completely
00:39
in
00:39
the
00:39
dark
00:39
before
00:40
we
00:40
start
00:40
this
00:40
episode.
00:41
So
00:41
Alvin
00:41
,
00:41
why
00:41
don't
00:42
you
00:42
tell
00:42
us
00:42
your
00:42
secret
00:42
news?
00:43
You
00:43
really
00:44
pumped
00:44
those
00:44
up.
00:46
No
00:46
.
00:46
So
00:47
I've
00:47
got
00:47
two
00:47
announcements.
00:48  Alban
One,
00:49
so
00:50
a
00:51
couple
00:51
of
00:51
days
00:51
ago,
00:51
last
00:52
week
00:52
,
00:53
um,
00:53
D
00:53
script
00:53
came
00:54
out
00:54
with
00:54
overdub,
00:55
which
00:56
descript
00:57
is
00:57
this
00:57
really
00:58
cool
00:58
editing
00:59
app
00:59
where
01:00
they
01:00
actually
01:00
transcribe
01:00
your
01:01
episodes,
01:02
they
01:02
show
01:03
you
01:03
your
01:03
audio
01:04
with
01:05
like
01:05
all
01:05
the
01:05
words
01:06
are
01:06
laid
01:06
out,
01:06
and
01:07
then
01:07
you
01:07
edit
01:07
the
01:07
words,
01:08
like
01:08
you
01:08
edit
01:08
the
01:09
transcript
01:10
and
01:10
they're
01:10
editing
01:11
the
01:11
audio
01:11
in
01:12
real
01:12
time
01:13
and
01:13
it
01:13
sounds
01:13
really
01:13
good.
01:14
And
01:14
I
01:14
played
01:14
with
01:14
it
01:14
podcast
01:15
movement,
01:16
but
01:16
one
01:16
of
01:16
the
01:16
things
01:17
they
01:17
had
01:17
a
01:17
podcast
01:17
movement
01:18
was
01:18
a
01:18
thing
01:19
called
01:19
overdub.
01:20
It
01:20
wasn't
01:20
out
01:21
yet.
01:22
And
01:22
they
01:22
say
01:22
sometimes
01:23
like
01:24
I
01:24
know
01:24
I
01:24
do
01:24
this,
01:25
I'll
01:25
say
01:25
something
01:25
dumb
01:26
and
01:26
I'll
01:26
go,
01:26
Oh,
01:27
why
01:27
should
01:27
I
01:27
say
01:27
it
01:27
the
01:27
other
01:27
way?
01:28
But
01:29
there's
01:29
no
01:29
recording
01:30
of
01:30
me
01:30
saying
01:30
that.
01:31
And
01:31
you
01:31
wish
01:31
you
01:32
could
01:32
put
01:32
a
01:32
word
01:32
or
01:32
two
01:33
in
01:33
there
01:34
while
01:34
they
01:34
call
01:35
that
01:35
overdub.
01:35
It's
01:36
in
01:36
beta
01:36
and
01:37
we
01:37
got
01:37
access
01:37
to
01:37
it
01:37
this
01:38
morning.
01:39
So
01:39
I
01:39
have
01:39
to
01:39
record
01:40
me
01:40
reading
01:41
off
01:41
this
01:41
long
01:41
like,
01:42
Hey,
01:43
I
01:43
consent
01:44
to
01:44
having
01:44
my
01:44
voice
01:44
altered,
01:45
but
01:45
now
01:46
we
01:46
can
01:46
do
01:46
all
01:46
sorts
01:46
of
01:46
cool
01:47
stuff
01:47
and
01:47
we
01:47
can
01:47
edit
01:48
this
01:48
episode
01:49
and
01:50
hopefully
01:50
make
01:50
me
01:50
sound
01:51
even
01:51  Travis
smarter
01:51
in
01:52
that
01:52
episode.
01:53
But
01:53
I
01:53
think
01:53
it
01:54
will
01:54
be
01:54
a
01:54
cool
01:54
thing
01:54
to
01:54
play
01:54
with.
01:55
I
01:55
mean
01:55
it's
01:56
dead
01:56
.
01:56
When
01:56
I
01:56
saw
01:56
it,
01:57
it
01:57
was
01:57
definitely
01:57
like
01:57
some
01:58
mission
01:58
impossible
01:59
level
01:59
stuff.
01:59
Yeah.
02:00
Like
02:00
I
02:00
don't
02:00
know
02:00
if
02:00
you've
02:01
watched
02:01
mission
02:01
impossible
02:02
three
02:02
where
02:02
they
02:02
have
02:02
Phillip
02:03
Seymour
02:03
Hoffman's
02:03
character
02:04
and
02:04
Tom
02:04
cruise
02:05
is
02:05
like
02:05
making
02:05
them
02:05
read
02:05
off
02:06
a
02:06
card.
02:06
Right
02:06
.
02:06
So
02:06
I
02:07
can
02:07
ask
02:07
his
02:08
voice.
02:08
Yeah
02:08
.
02:08
It's
02:08
like
02:09
that
02:10
essentially.
02:10
Right?
02:11
So
02:11
you
02:11
read
02:12
several
02:13
lines
02:13
and
02:13
then
02:14
their
02:15
computer
02:15
machine
02:15
learning
02:16
or
02:16
whatever
02:17
kind
02:17
of
02:17
Terminator
02:17
program
02:18
they
02:18
have
02:18
running
02:18
this
02:18
thing
02:19
analyzes
02:20
your
02:20
voice
02:20
and
02:21
then
02:21
can
02:21
recreate
02:22
words
02:22
that
02:22
you
02:23
type,
02:23
even
02:23
if
02:23
you've
02:24
never
02:24
said
02:24
that
02:25
word
02:25
before.
02:25
Yeah
02:25
.
02:26  Alban
Sounds
02:26
really
02:26
good
02:27
though.
02:27
They
02:27
need
02:27
like
02:28
80
02:28
hours
02:29
of
02:29
recordings
02:30
to
02:30
be
02:30
perfect.
02:31
Whereas
02:31
I
02:32
think
02:32
in
02:32
mission
02:32
impossible
02:33
they
02:33
needed
02:33
like
02:33
seven
02:34
words.
02:34
So
02:35
it's
02:35
not
02:35
exactly
02:35
the
02:35
same
02:36
level
02:36
of
02:36
tech
02:36
yet.
02:38
Um,
02:38
so
02:38
that's
02:38
cool.
02:39
And
02:39
then
02:39
the
02:39
other
02:39
one
02:40
is,
02:41
the
02:41
other
02:41
announcement
02:41
is
02:42
we
02:42
are
02:42
going
02:42
to
02:42
be
02:42
the
02:43
presenting
02:43
sponsor
02:44
of
02:44
the
02:44
2019
02:46
discover
02:46
pot
02:46
awards.
02:47
So
02:48
December
02:49
pods
02:49
is,
02:49
is
02:50
really
02:50
cool
02:50
website
02:51
and
02:52
they
02:52
just
02:52
put
02:53
up
02:53
lots
02:53
of
02:53
lists
02:54
of
02:54
out
02:54
here.
02:54
Some
02:55
cool,
02:56
funny
02:56
podcasts
02:57
here
02:57
,
02:57
some
02:57
podcasts
02:57
that
02:57
are
02:57
really
02:58
interesting,
02:58
the
02:59
Joe
02:59
Rogan
02:59
episodes
03:00
or
03:01
um
03:01
,
03:01
the
03:01
do
03:01
all
03:01
sorts
03:01
of
03:01
blog
03:02
content.
03:03
And
03:03
so
03:04
they
03:04
do
03:04
these
03:04
awards
03:05
every
03:06
few
03:06
years.
03:06
I
03:07
think
03:07
they've
03:07
done
03:07
them
03:07
now,
03:08
two
03:08
or
03:08
three
03:08
now.
03:10
83
03:10
years
03:10
in
03:10
a
03:10
row.
03:11
Yeah
03:11
.
03:11
I've
03:11
been
03:11
doing
03:11
this.
03:11
Okay.
03:12
And
03:12
now
03:12
they're
03:13
doing
03:13
it
03:13
again
03:14
and
03:14
we're
03:14
going
03:14
to
03:14
be
03:14
the
03:14
presenting
03:15
sponsor.
03:15
So
03:15
I'm
03:16
pretty
03:16
psyched
03:16
about
03:16
it.
03:16
So,
03:17
so
03:17
that'll
03:17
be
03:17
what
03:18
the
03:18
2020
03:20
discovered
03:20
pot
03:20
awards
03:21
presented
03:21
by
03:22
Buzzsprout
03:22
.
03:22
Uh
03:22
,
03:22
the
03:22
2019
03:23
so
03:23
kicks
03:24
off
03:24
next
03:25
month.
03:25
Yeah.
03:25
So
03:26
that
03:26
,
03:27
uh,
03:27
that
03:27
is
03:27
final
03:28
and
03:28
we're
03:28
good
03:29
to
03:29
go.
03:29
Alright
03:29
,
03:29
that's
03:30
exciting.
03:31
And
03:31
so
03:31
how
03:31
does
03:31
it
03:32
work
03:32
to
03:32
,
03:32
you
03:32
nominate
03:33
your
03:34
own
03:34
show
03:34
or
03:34
you
03:34
know,
03:34
how
03:34
many
03:34
other
03:35
people
03:35
show
03:35
or
03:36
how
03:36
does
03:36
this
03:36
process
03:36
like
03:36
?
03:38
Um,
03:38
so
03:38
they'll
03:38
be
03:38
promoting
03:39
it
03:39
obviously
03:39
on
03:39
their
03:40
side.
03:40
And
03:41
we'll
03:42
let
03:42
all
03:42
the
03:42
bus
03:43
route
03:43
gangsters,
03:44
no
03:44
one
03:44
we,
03:45
you
03:45
know,
03:45
once
03:46
everything
03:46
starts,
03:46
but
03:47
you
03:47
nominate
03:48
shows,
03:49
you
03:49
nominate
03:49
shows
03:50
there
03:50
you
03:50
can
03:51
nominate
03:51
yourself,
03:51
but
03:51
I
03:51
guess
03:51
you
03:52
should
03:52
nominate
03:52
other
03:52
people
03:53
shows
03:53
you
03:53
really
03:53
like.
03:55
Then
03:55
they
03:55
will
03:55
select
03:56
a
03:56
group
03:57
that
03:57
were
03:57
nominated
03:58
often
03:58
and
03:59
are
03:59
good
03:59
quality.
04:01
Then
04:01
there's
04:01
a
04:01
voting
04:01
period
04:02
and
04:02
then
04:03
they
04:03
actually
04:03
give
04:03
out
04:03
awards.
04:04
So
04:06
do
04:06
you
04:06
guys
04:06
want
04:06
to
04:06
know
04:06
who
04:07
won
04:07
last
04:07
year?
04:08
Yeah,
04:08
I
04:08
want
04:08
to
04:08
know
04:08
what
04:08
kind
04:09
of
04:09
awards
04:09
you
04:09
can
04:09
get
04:09
and
04:10
I
04:10
want
04:10
to
04:10
know
04:11
what
04:11
I'd
04:11
like
04:11
to
04:11
categories
04:12
if
04:12
it's
04:12
like
04:13
best
04:14
podcasts
04:14
that
04:14
integrates
04:15
funny
04:15
cat
04:15
videos
04:16
or
04:16
if
04:16
it's,
04:17
you
04:17
know,
04:17
more
04:17
traditional
04:18
Travis
04:18
,
04:18
try
04:18
to
04:19
find
04:19
a
04:19
category
04:20
that
04:20
fits
04:20
perfectly
04:21
to
04:21
one
04:21
of
04:21
his
04:21
shows
04:21
.
04:21
Exactly
04:22
right.
04:23
I'm
04:23
like,
04:23
there's
04:23
literally
04:23
no
04:24
other
04:24
podcast
04:24
that
04:25
has
04:25
talked
04:25
about
04:25
this.
04:26
So
04:26
if
04:26
I
04:26
could
04:26
make
04:26
my
04:26
own
04:26
category.
04:27
All
04:27
right,
04:28
so
04:28
there's
04:28
deep
04:29
Brophy
04:29
,
04:29
so
04:29
best
04:29
overall
04:30
podcast
04:30
in
04:30
2018
04:31
the
04:32
winner
04:32
was
04:32
my
04:32
favorite
04:33
murder
04:34
and
04:34
runner
04:34
up
04:34
was
04:35
ear
04:35
hustle.
04:36
Two
04:36
great
04:36
shows
04:37
are
04:37
both
04:37
very
04:38
good
04:38
shows.
04:38
Yep
04:38
.
04:38
Our
04:38
best
04:39
new
04:40
podcast
04:40
of
04:40
2018
04:41
dr
04:41
death
04:42
and
04:43
armchair
04:43
expert
04:44
with
04:44
Dax
04:45
Shepard.
04:45
I
04:45
thought
04:45
dr
04:46
death
04:46
left
04:47
a
04:48
little
04:48
to
04:48
be
04:48
desired.
04:49
Interested
04:50
in
04:50
production
04:52
that
04:52
Shepard
04:53
would
04:53
have
04:53
been
04:53
number
04:53
one
04:53
for,
04:53
you
04:54
know,
04:55
I
04:55
talked
04:55
about
04:56
Dax
04:56
,
04:58
not
04:59
a
04:59
,
05:00
he's
05:00
not
05:00
your
05:00
cup
05:00
of
05:00
tea.
05:01
Got
05:03
um,
05:03
the
05:04
most
05:04
innovative
05:05
podcast.
05:05
The
05:06
weirdest
05:06
thing
05:06
I
05:06
learned
05:07
at
05:07
this
05:07
week.
05:08
People's
05:08
choice.
05:09
True
05:09
crime,
05:10
sports,
05:10
news,
05:11
history,
05:12
interview
05:12
style,
05:12
comedy.
05:13
I
05:13
mean
05:13
there's
05:13
tons
05:14
of
05:14
different
05:15
categories.
05:16
Kevin.
05:17
Yeah.
05:18
Who
05:18
is
05:18
the
05:18
runner
05:18
up
05:19
for
05:19
the
05:19
best
05:20
business
05:20
podcast?
05:21
This
05:21
is
05:21
a
05:21
guest
05:21
for
05:21
you
05:22
because
05:22
I
05:22
know
05:22
you
05:22
love
05:22
this
05:23
show.
05:23
How
05:24
I
05:24
built
05:24
this
05:25
thing
05:25
to
05:25
me,
05:25
my
05:26
favorite,
05:26
very
05:27
good
05:27
isn't
05:27
this
05:27
podcast,
05:27
who
05:28
was
05:28
the
05:28
one
05:28
who's
05:28
number
05:28
one?
05:29
Freakonomics.
05:30
Yeah.
05:31
That's
05:31
good
05:31
too.
05:31
I
05:31
love
05:32
man
05:33
Freakonomics.
05:34
One
05:34
of
05:34
their
05:34
episodes
05:35
is
05:35
why
05:35
I
05:35
have
05:35
this
05:36
job.
05:36
I'm
05:36
100%
05:37
convinced.
05:37
Interesting
05:38
because
05:39
there
05:39
was
05:40
an
05:40
episode
05:40
I
05:41
listened
05:41
before.
05:42
Is
05:42
this
05:42
after
05:43
law
05:43
school
05:43
before
05:44
working
05:44
at
05:44
a
05:44
law
05:44
firm
05:45
about
05:46
quitting
05:47
and
05:47
why
05:47
it
05:47
was
05:47
so
05:47
important
05:48
to
05:48
quit
05:48
things
05:48
that
05:48
you
05:49
really
05:49
disliked
05:50
and
05:51
start
05:51
new
05:52
and
05:52
were
05:52
listening
05:53
to
05:53
it
05:53
being
05:53
like,
05:53
of
05:53
course
05:53
I
05:54
would
05:54
do
05:54
that.
05:54
I'm
05:54
not
05:54
some
05:55
guy
05:55
who
05:55
just
05:55
do
05:55
something
05:56
he
05:56
hated
05:56
forever.
05:57
And
05:57
then
05:58
a
05:59
year
05:59
and
05:59
a
05:59
half
05:59
later,
05:59
just
05:59
for
05:59
an
06:00
extra
06:00
year
06:00
and
06:00
a
06:00
half,
06:00
and
06:00
then
06:01
a
06:01
year
06:01
and
06:01
a
06:01
half
06:01
later
06:01
I'm
06:02
working
06:02
at
06:02
a
06:02
law
06:02
firm
06:02
going,
06:02
this
06:03
is
06:03
not
06:03
what
06:03
I
06:03
want
06:03
to
06:03
do
06:03
with
06:03
my
06:04
life.
06:04
And
06:04
I'm
06:05
like,
06:05
I
06:05
told
06:06
myself
06:06
I
06:06
was
06:06
never
06:06
the
06:06
person
06:07
who
06:07
had
06:07
just
06:07
do
06:07
something
06:08
I
06:08
didn't
06:08
like,
06:09
but
06:09
I
06:09
kind
06:10
of
06:10
am
06:10
right
06:10
now.
06:10
Maybe
06:10
I
06:10
do
06:11
need
06:11
to
06:11
leave
06:11
and
06:11
start
06:12
working
06:12
in
06:12
tech.
06:13
So
06:14
,
06:14
uh
06:14
,
06:14
yeah,
06:14
I
06:15
probably
06:15
need
06:15
to
06:15
shoot
06:15
an
06:16
email
06:16
to
06:16
the
06:16
Freakonomics
06:17
group
06:17
and
06:18
thank
06:18
them
06:18
for
06:18
that.
06:19  Travis
Any
06:19
other
06:19
news
06:19
for
06:20
us?
06:20
Alvin
06:20
?
06:20
Any
06:20
other
06:21
super
06:21
exciting
06:22
pieces
06:23
of
06:23
news?
06:24  Alban
No,
06:24
I
06:24
think
06:24
this
06:25
is
06:25
my
06:25
two
06:25
.
06:26  Travis
Are
06:26
you
06:26
wearing
06:26
a
06:26
new
06:26
shirt
06:27
today?
06:27
I
06:27
haven't
06:27
seen
06:27
that
06:27
.
06:27
[inaudible]
06:29  Alban
third
06:29
announcement.
06:30
I
06:30
got
06:30
a
06:31
new
06:31
shirt
06:31
at
06:31
the
06:31
Nike
06:32
store.
06:33
Um,
06:33
Oh,
06:34
we
06:34
have
06:34
a,
06:34
I
06:35
mean,
06:35
this
06:35
is,
06:35
I
06:35
don't
06:36
know
06:36
why
06:36
I'm
06:36
doing
06:36
,
06:36
just
06:37
do
06:37
it
06:37
.
06:37
Get
06:37
an
06:37
announcement
06:37
section.
06:38
We've
06:38
got
06:38
a
06:38
whole
06:39
meetup
06:39
here
06:39
tonight.
06:40
It's
06:40
gonna
06:40
be
06:40
like
06:40
50
06:41
podcasters
06:41
coming
06:42
into
06:42
the
06:42
office.
06:43
And
06:44
I
06:44
think
06:45
I'm
06:45
doing
06:46
a
06:46
little
06:46
presentation.
06:47
Tom's
06:47
gonna
06:47
talk.
06:48
Um,
06:48
maybe
06:48
Priscilla
06:49
or
06:49
Kevin's
06:49
going
06:49
to
06:49
do
06:50
a
06:50
little
06:50
segment.
06:51
Kevin's
06:51
nodding
06:51
his
06:52
head
06:52
no,
06:53
but
06:53
yeah,
06:54
it's
06:54
going
06:54
to
06:54
be
06:54
exciting.
06:55
We're
06:55
going
06:55
to
06:55
have
06:55
tons
06:55
of
06:55
podcasters
06:56
and
06:56
it's
06:57
always
06:57
nice
06:57
to
06:57
meet
06:57
people
06:57
who
06:58
actually
06:58
use
06:59
Buzzsprout
07:00
because
07:01
it's
07:02
good
07:02
to
07:02
hear
07:02
from
07:02
them,
07:02
sometimes
07:03
very
07:03
positive
07:04
and
07:04
other
07:04
times
07:04
like,
07:05
Hey,
07:05
I
07:05
don't
07:05
understand
07:05
why
07:05
this
07:06
worked
07:06
this
07:06
way.
07:06
And
07:06
we'd
07:06
go,
07:07
Oh
07:07
yeah,
07:07
Oh,
07:07
we
07:07
could
07:08
improve
07:08
that.
07:08
That's
07:08
cool.
07:09
So
07:09
I
07:09
always
07:10
love
07:10
it.
07:11  Travis
Yeah,
07:11
that'll
07:11
be
07:11
a
07:11
fun
07:11
time.
07:12
We'll
07:12
probably
07:12
give
07:12
a
07:13
run
07:13
down
07:13
afterwards
07:13
on
07:14
the
07:14
next
07:14
episode
07:14
of
07:14
buzz
07:15
cast
07:15
that
07:15
you
07:15
know
07:15
how
07:15
that
07:15
went.
07:19
So
07:19
next
07:20
I
07:20
wanted
07:20
to
07:21
speak
07:21
into
07:21
something
07:22
that
07:22
I've
07:22
seen
07:22
come
07:23
up
07:24
pretty
07:24
repeatedly
07:24
in
07:25
our
07:26
Buzzsprout
07:26
podcast
07:27
community
07:27
on
07:27
Facebook
07:28
and
07:29
just
07:29
another
07:29
podcast
07:30
groups
07:30
in
07:30
general
07:30
,
07:31
um
07:31
,
07:31
with
07:31
people
07:31
that
07:31
are
07:32
new
07:32
to
07:32
podcasting
07:33
,
07:33
uh
07:33
,
07:33
specifically
07:34
around
07:34
the
07:34
idea
07:34
of
07:34
podcast
07:35
subscribers,
07:37
right?
07:37
That
07:37
people
07:37
coming
07:38
from
07:38
YouTube
07:38
are
07:38
very
07:39
familiar
07:39
with
07:40
seeing
07:40
how
07:40
popular
07:41
a
07:41
channel
07:41
is
07:41
based
07:42
on
07:42
how
07:42
many
07:42
people
07:42
have
07:42
subscribed
07:43
to
07:45
get
07:45
updates
07:46
of
07:46
new
07:46
videos
07:46
that
07:46
come
07:46
from
07:47
those
07:47
channels.
07:47
So
07:48
I
07:48
wanted
07:48
to
07:48
open
07:48
up
07:48
the
07:48
floor
07:49
though
07:49
to
07:49
talk
07:49
about
07:49
why
07:51
giving
07:51
someone
07:52
a
07:53
number
07:53
of
07:53
subscribers
07:55
like
07:55
number
07:56
that's
07:57
combines
07:57
all
07:58
the
07:58
different
07:58
apps
07:59
is
07:59
actually
08:00
not
08:00
possible.
08:02
Do
08:02
either
08:02
you
08:03
guys
08:03
want
08:03
to
08:03
speak
08:03
into
08:03
that
08:04
or
08:04
why
08:04
it's
08:04
extremely
08:05
difficult.
08:05  Alban
Let
08:05
me
08:05
ask
08:06
you
08:06
another,
08:06
let
08:06
me
08:07
answer
08:07
your
08:07
question
08:07
with
08:07
a
08:07
question.
08:08
Oh
08:08
,
08:09
how
08:09
many
08:09
people
08:10
have
08:10
favorited
08:11
your
08:11
blog
08:13
in
08:13
their
08:13
browser?
08:15
Is
08:15
there
08:15
any
08:16
wavered
08:16
it
08:16
or
08:17
actually
08:17
bookmarked
08:18
it?
08:18
They
08:19
done
08:19
a
08:19
favorite
08:19
and
08:19
they
08:19
bookmarked
08:20
it.
08:21  Travis
My,
08:21
my
08:21
non-existent
08:22
blog.
08:22
Are
08:22
you
08:23
talking
08:23
about
08:23
the
08:23
Buzzsprout
08:23
blog?
08:25  Alban
The
08:25
,
08:25
the
08:26
blogging
08:26
thing
08:26
?
08:26
The
08:26
answer
08:27
I
08:27
was
08:27
hoping
08:27
for.
08:27
Maybe
08:28
I
08:28
just
08:28
need
08:28
to
08:28
reiterate
08:28
,
08:29
just
08:29
make
08:30
your
08:30
point.
08:31
How
08:31
many
08:31
people
08:32
have
08:32
bookmarked
08:33
our
08:34
block
08:34
?
08:34
We
08:34
can't
08:34
measure
08:34
it.
08:35
We
08:35
can't
08:35
know
08:35
that
08:35
because
08:36
we
08:36
don't
08:36
know
08:37
if
08:37
somebody
08:37
comes
08:37
to
08:37
the
08:38
a
08:38
blog
08:38
every
08:39
day,
08:39
if
08:39
they
08:40
type
08:40
it
08:40
in
08:41
or
08:41
if
08:42
they
08:42
actually,
08:43
their
08:43
mom
08:43
prints
08:44
it
08:44
out
08:44
and
08:44
hands
08:44
it
08:44
to
08:44
them
08:45
or
08:45
if
08:46
they
08:46
find
08:46
on
08:46
their
08:47
phone
08:47
or
08:47
if
08:47
they
08:48
actually
08:48
book
08:48
market
08:48
and
08:48
they
08:48
click
08:49
it.
08:50
And
08:50
there's
08:50
a
08:50
similar
08:51
thing
08:51
with
08:51
subscribers
08:52
because
08:53
the
08:53
person
08:53
who's
08:53
listening
08:54
to
08:55
show
08:55
in
08:55
an
08:55
app
08:56
isn't
08:57
act.
08:57
We
08:57
don't
08:57
know
08:57
if
08:58
they're
08:58
just
08:58
saying,
08:59
Hey,
08:59
check
08:59
to
08:59
see
09:00
if
09:00
there's
09:00
a
09:00
new
09:00
episode
09:01
or
09:01
if
09:01
they're
09:01
actually
09:02
subscribed
09:03
and
09:03
the
09:03
app
09:04
is
09:04
checking
09:04
and
09:04
grabbing
09:05
an
09:05
episode
09:05
for
09:06
them.
09:06
Or
09:06
if
09:07
they're
09:07
streaming,
09:08
you
09:08
don't,
09:09
there's
09:09
so
09:09
many
09:09
different
09:10
ways
09:10
they
09:10
can
09:10
come
09:10
to
09:11
us
09:11
that
09:12
we
09:12
don't
09:12
know
09:13
whether
09:13
or
09:13
not
09:13
they're
09:13
subscribed
09:14
or
09:14
not.
09:15
I
09:15
don't
09:15
know
09:15
if
09:15
I
09:15
did
09:15
a
09:15
great
09:16
job
09:16
explaining
09:16
that,
09:17
but
09:17
it's,
09:18
we
09:18
can't
09:18
know
09:18
how
09:18
they
09:19
are
09:19
if
09:19
they
09:19
are
09:20
a
09:20
subscriber.
09:21  Kevin
Oh,
09:21
I
09:22
don't
09:22
know
09:22
where
09:22
to
09:22
begin.
09:23
It's
09:23
a
09:23
complicated
09:24
subject
09:25
matter
09:25
for
09:25
sure.
09:27
Um,
09:27
I
09:28
feel
09:28
like
09:28
the
09:28
term
09:28
subscriber
09:29
is
09:30
a
09:30
bit
09:30
of
09:30
a
09:30
leftover
09:31
from
09:32
the
09:33
early
09:33
blog
09:33
days
09:33
when
09:33
people
09:34
used
09:34
feed
09:34
burner
09:34
to
09:35
generate
09:35
RSS
09:35
feeds
09:36
for
09:36
their
09:36
blog
09:36
content
09:37
and
09:38
feed
09:38
burner
09:38
provided
09:39
a
09:39
stat
09:39
called
09:40
subscribers.
09:42
And
09:42
even
09:43
then,
09:43
it
09:43
wasn't
09:44
a
09:44
great
09:45
metric
09:46
because
09:46
,
09:47
um
09:47
,
09:47
feed
09:48
burner
09:48
still
09:48
had
09:48
to
09:48
use
09:48
an
09:48
algorithm
09:49
and
09:49
the
09:49
little
09:50
bit
09:50
of
09:51
intelligence
09:52
that
09:53
may
09:54
or
09:54
may
09:54
not
09:54
be
09:54
super
09:55
intelligent
09:55
depending
09:56
on
09:56
how
09:56
you
09:57
are
09:57
consuming
09:58
that
09:58
content.
09:59
So
09:59
they
09:59
were,
09:59
it
09:59
still
10:00
wasn't
10:00
a
10:00
super
10:01
accurate
10:01
number,
10:02
it
10:02
was
10:02
just
10:02
they
10:03
were
10:03
the
10:03
only
10:03
game
10:04
in
10:04
town.
10:04
So
10:05
they
10:05
were
10:05
the
10:05
only
10:05
ones
10:05
providing
10:06
a
10:06
number.
10:06
So
10:07
then
10:07
that
10:07
became
10:08
the
10:08
gospel
10:08
for
10:08
how
10:09
many
10:09
subscribers
10:09
does
10:09
your
10:10
blog
10:10
have.
10:11
So
10:11
as
10:11
we
10:11
start
10:12
using
10:12
a
10:12
similar
10:12
technology
10:13
RSS
10:13
to
10:13
not
10:14
just
10:14
serve
10:14
blog
10:14
content,
10:15
but
10:15
to
10:15
serve
10:16
podcasts
10:16
content,
10:16
of
10:17
course,
10:17
early
10:17
craters
10:18
wanted
10:18
to
10:18
know,
10:19
well,
10:19
how
10:19
many
10:19
subscribers
10:20
do
10:20
I
10:20
have?
10:24
it's
10:24
again,
10:26
feed
10:26
burner
10:26
had
10:26
their
10:26
algorithm.
10:27
They
10:27
didn't
10:27
share
10:28
that
10:28
with
10:28
everybody.
10:29
So
10:29
podcast
10:30
host
10:30
had
10:30
to
10:30
start
10:30
coming
10:31
up
10:31
with
10:31
their
10:31
own
10:31
way
10:32
of
10:32
measuring
10:32
subscribers.
10:33
And
10:33
as,
10:34
as
10:34
more
10:34
and
10:34
more
10:35
people
10:35
got
10:35
into
10:35
the
10:35
game,
10:36
all
10:36
the
10:37
hosts
10:37
started
10:37
to
10:37
realize
10:38
it's
10:38
not
10:38
a
10:38
number
10:38
that
10:38
we
10:39
can
10:39
really
10:39
track
10:39
very
10:39
accurately.
10:41
It's
10:41
just
10:41
to
10:41
guess
10:42
and
10:42
so
10:44
and
10:44
,
10:44
and
10:44
it's,
10:44
it's
10:45
really
10:45
not
10:45
even
10:45
a
10:45
great
10:46
guess.
10:46
So
10:46
let's
10:46
stop
10:47
guessing
10:48
and
10:48
let's
10:48
start
10:48
giving
10:49
numbers
10:49
that
10:49
we
10:49
can
10:49
actually
10:49
present.
10:50
And
10:50
so
10:50
those
10:51
numbers
10:51
became
10:51
download
10:52
numbers
10:52
on
10:52
a
10:52
per
10:52
episode
10:53
basis.
10:54
And
10:54
then
10:54
you
10:54
can
10:55
look
10:55
at
10:55
how
10:55
many
10:56
downloads
10:56
you're
10:56
getting
10:57
consistently
10:58
across
10:58
multiple
10:59
episodes
10:59
and
11:00
then
11:00
you
11:00
can
11:00
kind
11:00
of
11:00
infer
11:01
how
11:01
many
11:01
people
11:02
are
11:02
subscribed
11:03
to
11:03
my
11:03
show.
11:07
there's
11:07
not
11:07
a
11:07
true
11:08
subscriber
11:08
number
11:09
in
11:09
the
11:09
podcast
11:10
world
11:10
that
11:11
hosts
11:11
have
11:11
agreed
11:12
upon
11:12
as
11:12
this
11:13
is
11:13
how
11:13
we're
11:13
going
11:13
to
11:13
measure
11:13
subscribers.
11:15  Alban
Yeah,
11:16
and
11:16
if
11:16
we
11:16
were
11:16
to
11:17
try
11:17
to
11:17
come
11:17
up
11:18
with
11:18
a
11:18
name
11:18
for
11:20
what
11:20
we
11:20
really
11:21
want
11:21
to
11:21
measure,
11:21
it's
11:22
not
11:22
subscribers
11:23
anyway.
11:23
I
11:24
mean
11:24
that's
11:24
not
11:24
what
11:24
we
11:24
want
11:24
to
11:25
know.
11:25
We,
11:26
I
11:26
,
11:26
there's
11:26
tons
11:27
of
11:27
podcasts,
11:27
dives
11:27
,
11:28
subscribe
11:28
to
11:29
that.
11:29
I
11:29
don't
11:29
listen
11:30
to
11:30
every
11:30
episode.
11:31
And
11:31
then
11:31
there's
11:32
other
11:32
podcasts
11:32
that
11:33
I
11:33
listened
11:33
to,
11:34
some
11:34
of
11:34
the
11:34
episodes,
11:35
but
11:35
only
11:35
when
11:36
I
11:36
go
11:36
and
11:36
I
11:36
go,
11:36
Oh,
11:36
that's
11:37
an
11:37
interesting
11:37
guest
11:37
and
11:37
I
11:37
download
11:38
it.
11:38
Right?
11:39
So
11:39
what
11:39
we
11:39
really
11:40
want
11:40
to
11:40
know
11:40
is
11:40
like
11:40
what's
11:41
it
11:41
the
11:41
reach
11:41
my
11:42
podcast
11:42
has,
11:43
you
11:44
know,
11:44
when
11:44
I
11:45
published
11:45
an
11:45
episode,
11:45
how
11:46
often,
11:47
how
11:47
many
11:48
people
11:48
are
11:48
gonna
11:48
hear
11:48
it,
11:49
they're
11:49
gonna
11:49
listen
11:50
to
11:50
it.
11:50
Who's
11:50
gonna
11:50
hear
11:51
what
11:51
I'm
11:51
saying?
11:51
And
11:52
share
11:52
it
11:52
with
11:53
friends
11:53
and
11:53
it
11:53
will
11:53
impact
11:54  Kevin
their
11:54
life,
11:55
the
11:55
subscriber
11:56
numbers,
11:56
kind
11:57
of
11:57
that
11:57
number.
11:57
If
11:57
we
11:57
could
11:58
get
11:58
that,
11:59
which
11:59
we
11:59
really
11:59
can't
12:00
and,
12:01
but
12:01
it's
12:01
not,
12:01
you
12:02
know,
12:02
it's
12:02
not
12:02
fully
12:02
what
12:02
we're
12:03
looking
12:03
for.
12:03
So
12:04
yeah,
12:04
it
12:04
doesn't
12:04
really
12:04
make
12:04
a
12:05
ton
12:05
of
12:05
sense
12:05
to
12:06
include
12:06
that.
12:06
Right.
12:07
And
12:07
I
12:07
think
12:07
what
12:08
you're
12:08
leading
12:08
into
12:09
is
12:09
how
12:09
we
12:09
came
12:09
up
12:10
with
12:10
this
12:10
listener
12:11
metric
12:11
within
12:12
Buzzsprout.
12:12
So
12:12
maybe,
12:14
so
12:15
in
12:15
Buzzsprout,
12:15
there
12:16
isn't
12:16
a
12:16
metric
12:16
that
12:16
we
12:17
provided
12:17
in
12:17
your
12:17
stats
12:17
called
12:17
listeners
12:19
that
12:20
is
12:20
not
12:20
subscribers,
12:21
but
12:21
it
12:21
is
12:22
more
12:22
what
12:22
Alvin
12:23
is
12:23
talking
12:23
about.
12:24
Um,
12:24
so
12:24
that
12:24
looks
12:25
at
12:25
your,
12:26
the
12:26
number
12:26
of
12:26
plays
12:27
that
12:27
every
12:27
episode
12:28
gets.
12:28
The
12:29
pro
12:29
applies
12:30
an
12:30
algorithm
12:30
whether
12:30
you're
12:31
you're
12:31
reaching
12:31
hymns
12:31
to
12:32
be
12:32
growing
12:32
or
12:32
reaching
12:33
him
12:33
to
12:33
be
12:33
shrinking.
12:35
Um,
12:36
and
12:36
I
12:36
,
12:36
I
12:36
don't
12:37
remember
12:37
all
12:37
the
12:37
complexity
12:37
that
12:38
went
12:38
into
12:38
it
12:38
but
12:38
it's,
12:38
it's
12:39
a
12:39
pretty
12:39
good
12:40
uh,
12:40
algorithm
12:40
that
12:40
we
12:40
came
12:41
up
12:41
with
12:41
and
12:41
it
12:42
starts
12:42
really
12:42
working
12:42
best
12:43
after
12:43
you
12:43
have,
12:43
you
12:43
know,
12:43
five
12:44
to
12:44
10
12:44
episodes
12:44
and
12:44
it
12:45
gets
12:45
better
12:45
over
12:45
time.
12:46
And
12:47
basically
12:47
the
12:47
machine
12:48
learning
12:48
there
12:48
is
12:48
just,
12:49
Hey,
12:49
we
12:49
just
12:49
put
12:50
out
12:50
a
12:50
new
12:50
podcast
12:50
episode.
12:51
How
12:51
many
12:51
people
12:52
listened
12:52
to
12:52
it?
12:52
Great.
12:52
Now
12:53
you
12:53
put
12:53
another
12:53
one.
12:53
How
12:53
many
12:53
people
12:54
listen
12:54
to
12:54
that