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Tutorial For Beginners
[Apollo.io 2023] B2B Lead Generation
[Apollo.io 2023] B2B Lead Generation Tutorial For Beginners
TRANSCRIPT
PART - 1
0:00
I'm going to show you how to
0:01
generate tens of thousands
0:03
of highly qualified
0:05
leads in a matter
0:07
of minutes.
0:08
But more importantly, I'm going to
0:09
show you exactly how you can turn
0:11
those tens of thousands of leads
0:13
into qualified booked calls
0:15
for your company and eventually
0:17
clients. Now, our portfolio
0:19
companies has literally generated
0:21
millions of different leads
0:23
online.
0:24
And I can say that this is probably
0:26
one of the easiest
0:28
and simple to use softwares
0:30
that I've ever seen.
0:31
And I'm going to break it down for
0:32
you in this video here.
0:33
So the software is called Apollo.io
Apollo.io Overview
0:35
and I'm going to walk
0:37
you through exactly how to find the
0:39
most qualified people on the
0:40
software.
0:41
I'm going to give you our messaging
0:43
that you can use to set up an email
0:44
sequence and then show you some cool
0:46
features and tips that I don't see
0:48
anybody else talking about on
0:49
YouTube. Now, really quickly, before
0:51
I continue, I'm going to be reading
0:52
directly off of this Google document
0:54
that I created that goes through
0:55
step by step, how to do everything.
0:57
It also links to a bunch of assets
0:58
that I can't cover in this YouTube
1:00
video here that will make getting
1:02
clients online a lot easier for you.
1:03
So if you want that, make sure you
1:04
click the link description down
1:05
below. So probably one of my
1:07
favorite things about Apollo Dot IO
1:08
is that you can actually scrape
1:10
qualified leads and send
1:12
emails to them all inside
1:14
the same software and it gives you
1:16
really, really good filters as
1:18
I'm going to walk through here in a
1:19
moment to make sure that you're only
1:20
sending the most qualified people.
1:22
And also it gives you opportunities
1:24
to split test different emails, use
1:26
a AI to write emails for you.
1:28
So if you're looking for like a one
1:29
stop shop of how do I generate
1:31
tens of thousands of leads and
1:32
hundreds of boat calls for your
1:34
company, this is going to be it.
1:35
Now, one of the really great things
1:36
I like about Apollo is that actually
1:37
they have a free plan here, and
How To Sign Up
1:39
that's exactly all you need to get
1:40
started. And that's we're going to
1:41
be using in this video.
1:42
So the first step that we're going
1:44
to want to do is sign up for Apollo
1:45
dot IO.
1:46
If you get this Google document,
1:47
there'll be a special link inside of
1:49
here, but you can also just Google
1:50
it. And we want to start with a free
1:52
plan, okay? Because once you get
1:53
your first few sales, then we can
1:55
upgrade to the basic plan, which is
1:57
$49 a month.
1:58
But what that does is it gives you
2:00
the ability to do more, sending
2:02
more than just, I think, 250 emails
2:04
a day. So you could spend 500, 1000,
2:06
2000 emails a day once you validated
2:08
that this is actually working.
2:10
And I think even more importantly
2:12
is that it allows you to select more
2:13
than 25 leads at a time.
2:15
So I'm going to show you in a moment
2:16
when you're scraping the leads on
2:18
the free plan, you can only select
2:19
25 leads at a time.
2:21
And if you scrape a list of 25,000,
2:23
it would be great. Just a scrape
2:24
list is 25,000.
2:25
Select all of them and send them all
2:27
an email without having to kind of
2:29
go back and forth 50 times.
2:30
So it might make sense if you value
2:32
your time just to spend that $49.
2:34
But if you don't, don't worry about
2:35
it. You can get the free plan.
2:36
And then once you close your first
2:37
deal, you can sign up for the $49
2:39
one. When you're signing up for
2:41
Apollo, it's really important that
2:42
you try to sign up with your Gmail
2:44
account directly.
2:45
So whenever you're logging in for
2:46
the first time, you can log in, you
2:48
know, with just a name, an email, or
2:49
you can log in with a Gmail account.
2:51
And I would recommend doing that
2:52
because it's just going to automatically
2:54
integrates Apollo and
2:56
your Gmail account for email
2:58
sending. So as soon as we get in
2:59
there, you don't have to integrate
3:00
anything else to allow for email
3:02
sending.
3:02
If you don't do that, there's a link
3:05
inside this document that can take
3:06
you to integrating your email.
3:07
It's very simple, but my
3:09
recommendation would be to not set
3:11
up your main Gmail account,
3:13
but instead set up a burner email
3:15
address because what we're doing is
3:17
we're gonna be sending 250, 300,
3:18
500 emails a day and you
3:20
don't want your main company email
3:22
that you're going to use for the
3:23
next 510 years to be ruined
3:25
by cold email messaging.
3:27
So instead, what I recommend doing
3:28
is creating a burner account.
3:30
So for example, my company
3:31
emails Revit scaling with systems
3:33
dot com, but I can create a burner
3:35
account called Ravi a
3:37
at scaling with systems dot com or
3:39
if I wanted to keep it totally
3:40
separate from my domain, I could buy
3:41
a new domain called scaling w
3:43
systems dot com and use that
3:45
one and do Ravi at scaling
3:48
W systems dot com.
3:49
Now once you get into Apollo there
3:51
are literally dozens of different
3:52
features. But as usual, I'm going to
3:54
show you literally just two that you
3:55
need in order to start generating
3:57
new calls and new clients today.
3:59
So the first thing that we're going
4:00
to want to do here is we're going to
4:01
want to create an email sequence.
How To Create Your Email Sequence
4:03
Now, this is a little bit different
4:05
because other people that I hear
4:06
talking about this will talk about
4:07
straight about generating leads.
4:09
But generating leads is useless if
4:11
you don't have the ability to send
4:12
the lead, something that's going to
4:13
turn them into calls in sales for
4:15
your company.
4:16
So the first thing I want to do is
4:18
create your email sequence.
4:19
We're going to go over to engage and
4:20
click on sequences right here.
4:22
And then you can see, obviously this
4:23
is a test account, so there's no
4:25
sequences found.
4:26
And what you can do is click this
4:27
little new sequence button right
4:29
here. We're going to click on new,
4:30
create a new sequence, and we're
4:32
going to name it whatever we want
4:33
to, let's say accounting,
4:35
email, marketing, and we're
4:37
going to use normal business hours 8
4:38
to 5 p.m. if you want it to.
4:40
You can kind of edit your schedule
4:41
and make it a little bit earlier a
4:42
little bit later. But for example
4:44
purposes, this is totally fine.
4:45
So click continue and then
4:47
we're going to click on Add a step
4:49
below this and you can see we
4:50
have different opportunities here.
4:52
The opportunity is to send an email,
4:53
we can send a manual email, we can
4:55
do a phone call, an action item.
4:57
Or actually one of the coolest
4:58
things about Apollo is that in a.
5:00
Rachel's LinkedIn so you could send
5:01
LinkedIn connection to request
5:02
LinkedIn messages and that's going
5:03
to be a little bit more advanced.
5:05
Maybe if you guys want me to do a
5:06
video on that, you can comment down
5:07
below. But for now we're just
5:08
talking about cold emailing.
5:10
So what I'm going to want to do is
5:11
do an automatic email because our
5:13
eventual goal is to literally just
5:14
scrape a list and blast an email
5:16
out in two clicks of the mouse and
5:18
a manual email.
5:18
You'd have to go in and review the
5:20
email before you send it every
5:21
single time.
5:22
So let's click on automatic email
5:24
and then I usually like to do
5:26
30 minutes after the contact is
5:27
added, because sometimes you're
5:29
moving pretty quickly and you just
5:30
add a bunch of people and then you
5:32
realize that you shouldn't have
5:33
added that person in that sequence.
5:34
So 30 minutes gives you the
5:35
opportunity to go back in and change
5:37
it if you need to.
5:38
And I don't limit any emails
5:40
for this specific steps.
5:41
You don't worry about that. So click
5:42
on, continue from here and then
5:44
boom. Now we are inside of
5:46
the email template
5:48
for our sequence for when we scrape
5:50
leads. Now there's
5:52
two really cool features that I like
5:54
about Apollo.
5:55
The first is the ability to use
5:57
AI inside of Apollo to write
5:59
your emails, right?
6:00
So I've already kind of created one
6:02
this year, which I'm going to go
6:03
through in a moment of having
6:05
a I wrote the email.
6:06
But the other thing they have is you
6:08
can actually personalize the first
6:10
line of of text
6:12
with Apollo so that
6:14
instead of you always trying to
6:15
figure out, hey, what's this personal
6:17
line that I want to use for this
6:18
person, like, Hey, I saw that you
6:19
just had a birthday.
6:20
Congratulations.
6:21
Apollo actually is working on a
6:22
feature where it will just
6:24
scrape the data for you.
6:26
So that's going to be, I mean, game
6:27
changer, whatever they actually do,
6:29
release that.
6:30
But in reality, I have played
6:32
around this with this a little bit,
6:33
and in my experience the
6:36
A.I. is good, but not as
6:38
good as what I'm about to give you.
6:39
I have a separate YouTube video
How To Create Cold Email Message
6:41
that actually goes over an
6:43
email template that has generated
6:45
over $10 million,
6:47
and I link that inside this Google
6:48
document here.
6:49
And what you'll be able to do is
6:50
literally just copy and paste this
6:52
template over into your
6:54
Apollo sequence and you can almost
6:56
guarantee that it's going to be
6:57
successful.
6:58
I have literally got hundreds of
6:59
comments and messages from people
7:01
that have used this sequence and
7:02
seen unbelievable success, not
7:04
including our thousands of clients
7:05
that have used it as well.
7:06
So I think it's a really good
7:07
starting point. I just want to give
7:09
you it totally for free.
7:10
So what you can do is click the link
7:12
of the Google document and then copy
7:14
everything 1 to 1 over.
7:15
So this is the subject line.
7:16
So I'm going to come down here and
7:17
copy the subject line.
7:18
We're going to go back over here and
7:19
copy the subject line, and then
7:21
we're going to go back here and copy
7:23
the body of the original message.
7:24
Right now, there's going to be a
7:26
little bit of editing involved
7:27
because obviously this is a
7:28
template. This isn't for your
7:30
specific business, but let's walk
7:31
through what that would look like,
7:32
right? So the subject line needs to
7:33
be interesting enough to open.
7:35
So, you know, one of the ones that
7:36
we love to use is just a question
7:38
about company name.
7:39
So I'm going to erase everything
7:41
except for a question about company.
7:42
And then we're actually going to use
7:44
a dynamic variable directly
7:46
from Apollo or click on this little
7:48
add dynamic variables down here and
7:49
we'll click on a question about
7:51
company right there.
7:52
Right? And I'll usually add three
7:54
dots to make it a little bit
7:56
mysterious.
7:57
And then here is where
7:59
the other YouTube video that's
8:00
linked inside of here will be more
8:02
valuable because I don't want spend
8:03
too much time on it about going
8:05
through what the differences of
8:05
these are. I would recommend that
8:07
you, after you get access to this
8:09
Google document, you watch that
8:10
video which is linked to this Google
8:11
document. So I'm going to write this
8:13
out here to make it simple.
8:14
So let's say, for example, that we
8:16
run a marketing agency
8:18
for for accountants.
8:20
Let's say we run a marketing agency
8:21
for accountants, and we guarantee
8:23
that we'll get them 20
8:25
new clients
8:27
every year.
8:28
We'll just make it super easy,
8:29
right? So we are we generate
8:32
we a marketing company for
8:33
accountants and we generate 20 new
8:35
clients a year or their money back.
8:37
So the first line here is typically
8:38
the personalized introduction.
8:39
And you have to understand that this
8:40
is a text preview, meaning any time
8:42
you send an email to somebody, the
8:44
first like 5 to 10 words
8:46
will always show before they open
8:48
the email. So in order to have a
8:49
high email open rate, you want to
8:50
make sure that you have some kind of
8:52
level of personalization inside of
8:53
here. So that way they are much
8:55
more likely to open it when they see
8:57
that that tax preview.
8:58
So I could say something like
9:01
Hey, and then I'll use a dynamic
9:02
variable to get the first name here.
9:05
First name I
9:07
wanted.
9:07
To make sure you
9:09
saw this.
9:11
Is this true.
9:13
About company
9:15
name?
9:15
So we'll come down here and just say
9:17
company name.
9:18
Question Mark Right.
9:19
So that's going to, you know, if any
9:21
kind if anybody is a business owner
9:22
or they see like, hey, I want to see
9:24
this one is make sure you saw this
9:26
is a true about company name.
9:27
Very good chance that someone's
9:29
going to open that email.
9:30
Okay. Even if, like they know that
9:32
it's a sales pitch, just
9:34
it's like curiosity just gets the
9:36
best of them and they're going to
9:37
want to open it. Okay.
9:38
And then is the transformation line.
9:39
So let's say something along the
9:41
lines with
9:43
or let's say here
9:45
we help accounting
9:48
firms
9:50
gets 20 new clients
9:52
a year or
9:54
their money back.
9:58
So that's the transformation.
9:59
Very simple.
10:00
I'm actually going to that combines
10:02
both the transformation and the risk
10:03
reversal. So I'm actually going to
10:04
erase both of these.
10:06
And then we're going to talk about
10:07
social proof. So I've just made a
10:09
big, bold claim.
10:10
How can we back it up?
10:11
Right. We've worked.
10:13
With.
10:14
Over or actually, let's make
10:16
it simple. The less words, the
10:17
better.
10:18
296
10:20
plus accounting.
10:23
Firms
10:25
in the past two years.
10:28
And then you can say like a few
10:30
names, including, I
10:32
don't know really any big famous
10:33
accounting firms. Let's call it
10:35
Garfield's Accounting.
10:39
And.
10:42
KPMG.
10:46
Right.
10:47
So now I'm adding social proof
10:49
to convince them, like, Hey, I'm not
10:50
just coming out here. And I just
10:52
made up this email to make a YouTube
10:53
video to you. I actually have worked
10:55
with clients previously in the past.
10:57
And then, of course, we're going to
10:58
want to add our call to action below
11:00
that. So I might say something
11:01
along the lines of based.
11:03
On our initial research
11:06
on.
11:07
Company name.
11:08
So we're going to copy this again.
11:14
It seems like we
11:16
may be a great fit
11:20
or we may be able to be able
11:22
to guarantee
11:25
20 new clients or
11:27
your money Back
11:32
book a call
11:35
to speak with us
11:37
here.
11:38
And then I would put my calendar
11:39
link right there.
11:40
And then if I was feeling really
PART - 2
11:41
saucy, I might say something like.
11:45
P.S.
11:46
If you think
11:48
I wasted your time
11:51
on the call, all
11:53
PayPal you $100,
11:56
Right?
11:57
You know, which is not that bad of a
11:58
deal because I have actually done
11:59
this before.
12:00
And in three years
12:02
we had one person make me pay
12:04
$4,100.
12:05
And in all honesty, that was a
12:06
terrible person. If I'm just and if
12:07
you're watching the city, know
12:08
exactly who you are.
12:10
So if you think I waste your time on
12:12
the call, I'll pay value $100,
12:14
period. And then I put my calendar
12:16
link right there. Let's just say
12:17
calendar link,
12:20
right.
12:21
And and then you
12:23
put your additional assets if you
12:24
want to. So if I had, like a
12:26
testimonial, I might drop that
12:27
inside of there and then additional
12:28
calls to action. And then the cool
12:30
thing about Apollo is it will
12:31
automatically add a signature.
12:32
So you don't need to add your signature
12:33
to that. Right.
12:34
So just like that, we have now
12:36
written a cold
12:38
email message to accounting firms.
12:40
Okay, Now what I want to do here is
12:42
I'm actually going to copy all
12:44
of this stuff, but I'm going to
12:46
save this template here.
12:47
So let me click Save and now
12:49
I have an automatic email.
12:50
As soon as I add a lead inside of
12:52
here, it is going to automatically
12:53
send an email out to them.
12:55
Now, what I do recommend doing as I
12:57
talk about inside of here is
12:59
to use the follow ups for a higher
13:01
likelihood of replying.
13:02
So if you come back over to this,
13:03
this Google document, what you'll
13:05
get in the description down below,
13:07
it does a follow up 14 hours later.
13:08
So we want to make sure we add a
13:09
follow up here.
13:10
So we'll add a step in automatic
13:12
email.
13:13
And what I'll do is make it
13:14
literally 14 minutes
13:16
after the previous step, right?
13:18
Because that's I mean, 14 hours I'm
13:20
sorry, 14 hours after the previous
13:21
step. So we'll click on continue.
13:25
And then this is very important.
13:26
Okay, Make sure you click on reply
13:28
to previous thread.
13:30
That way it's always in the same,
13:32
the same email thread and the person
13:34
doesn't have to go through every
13:35
single time what you do and how you
13:36
help people, etc., etc..
13:38
They just remember it.
13:38
Okay, because it's inside the same
13:40
email thread. And then what we want
13:42
to do is come back over to call the
13:43
sequence. We just need to do a
13:44
transformation and a call to action.
13:45
So we'll come here.
13:47
I'm going to paste what I did before
13:48
and and then I'm going to make the
13:50
transformation claim.
13:51
So let me say first
13:53
name.
13:54
Let's see here. Adding variables.
13:56
First name.
13:58
Are you interested
14:00
at all in 20
14:02
new clients or your
14:04
money back?
14:11
Then I'll just erase everything and
14:12
just say, literally. Booker called
14:13
to speak with us here, and if you
14:14
think we're wasting your time, we'll
14:15
pay back you $100.
14:16
So very short, sweet to
14:18
the points and much more likely
14:20
to get a response that if I type
14:22
this like huge, you know, 16
14:24
paragraph email to myself.
14:26
Okay, so now that's our second
14:28
sequence if you wanted to.
14:29
I'm not going to do it for the purpose
14:30
of this video, but you could do the
14:31
third sequence of four sequence.
14:32
First sequence. I do think that
14:33
after three three sequences, it's
14:35
kind of the point of diminishing
14:36
returns. So I wouldn't focus too
14:38
much on that.
14:39
And then the final two things
14:41
that we want to do, actually,
14:42
technically final three things is
14:44
first and foremost, you're going to
14:46
want to consider creating
14:48
an AB split test.
14:49
Now, you can't do an absolute test
14:51
on the free trial, but if you do get
14:53
a pay trial, then I would recommend
14:54
on the first email doing a split
14:56
test to see which one works better
14:58
and what you can do.
14:59
And what I talk about inside of here
15:01
is actually using a I to write
15:03
the split test. So if I come back in
15:05
here and let's just say I redo
15:07
this email here, I want, I want
15:09
the air to generate it for me, then
15:11
it's going to ask for the
15:13
assistance. So scaling all systems,
15:14
the company name we build end to end
15:16
marketing systems for companies, the
15:18
pain point, our businesses that are
15:19
struggling with not enough leads,
15:20
calls and sales and don't know how
15:21
to grow their business.
15:22
And we literally money back
15:23
guarantee that they will
15:25
make money or that our system
15:27
will work, or we give them all their
15:29
money back. And that's in writing.
15:32
And then the call to action is book
15:33
a call to speak with us.
15:34
Right. So let me generate here.
15:36
All right. So as you can see here,
15:37
it's given me two subject lines.
15:38
Grow your business with us,
15:39
transform your business scaling
15:41
systems. And like I said before, I
15:42
is a little like that.
15:44
That seems like something that like
15:45
a poor email writer would use.
15:47
So you could actually refresh it
15:48
right here and try to get something
15:49
different. I doubt it's going to top
15:51
the customization over here, and
15:53
then you could choose the body if
15:54
you wanted to as well.
15:55
Right? And you can kind of see these
15:57
aren't bad by any means, but
15:59
I think they're good templates to
16:00
use. And if you wanted to split
16:01
test, you could use it and you can
16:02
actually like or dislike it, watch
16:04
or train the air to give you a
16:05
better example.
16:06
But I'm going to keep what I have in
16:08
here for now, because in all
16:09
honesty, I think that I'm a better
16:10
writer than at least what this air
16:12
shows right now.
16:14
And then the final step, Always,
16:15
always, always, before you launch a
16:17
campaign like you're going to want
16:18
to send a test emails, you're going
16:19
to like send test email to me, and
16:21
then it's going to send an email
16:22
over to my email inbox.
16:23
Let me pull that up really quickly.
16:24
Okay. So this was in my email inbox
16:26
instantaneously.
16:27
Hey, example, want to make sure you
16:28
saw this is is true about Google.
16:30
We help accounting firms, blah,
16:32
blah, blah blah and everything else
16:33
looks super solid there.
16:34
I think it looks great.
16:35
There's no problems with it.
16:36
Looks like someone actually wrote
16:37
it, so we are good to go.
16:39
So let me cancel.
16:40
And the final thing that you need to
16:42
make sure you do is you need to turn
16:44
this active.
16:45
Okay? So make sure you click on
16:47
active on there. I talked about this
16:48
and said turn the emails sequence
16:49
active. If you don't, then you can
16:51
send all the leads you want to over
16:52
there, but it won't actually start
16:53
sending. All right.
16:54
So for step number three, what we're
How To Create Your Lead List
16:55
going to want to do is create our
16:57
lead list.
16:58
Okay, So inside of Apollo,
17:00
you can see there is this little
17:01
search feature right here.
17:02
And you have people, companies and
17:04
lists. We're going to want to start
17:05
with people. That's going to be the
17:06
easiest thing to do.
17:07
And that's also kind of when you
17:09
are on the free plan, there's going
17:10
to be more features here than there
17:11
are elsewhere.
17:12
So we're going to want to create the
17:13
list of people that we're sending
17:15
the emails to in the sequence that
17:17
we just created.
17:18
That's why we start with the
17:19
sequence first so that it's a lot
17:21
easier. Okay, Now Apollo
17:23
has its own email database, so
17:25
you can use that to scrape your
17:26
emails and it's a really, really
17:27
great place to start.
17:29
I will say that once you do start
17:31
making money from Apollo, I would
17:32
recommend investing into a higher
17:34
plan so that way you can get access
17:36
to more filters like, you know,
17:37
revenue or some of the other
17:39
things in there that you can't use
17:41
unless you have a paid plan.
17:42
I will say that there is kind of a
17:44
hack to get around this is that
17:45
Apollo has a Google Chrome extension
17:48
that integrates with LinkedIn.
17:49
So what you could do is you could
17:51
use the Google Chrome extension on
17:52
LinkedIn and LinkedIn for free.
17:55
Well, you have to have Sales Navigator,
17:56
but it will show you like the
17:57
revenue count, the employee account,
17:59
a lot of stuff that Apollo won't
18:00
show you. And in my experience,
18:03
LinkedIn is a little bit more
18:04
accurate than Apollo.
18:05
So kind of a hack is to go
18:07
and get the Apollo Google Chrome
18:09
extension and then use LinkedIn
18:10
Sales Navigator, which as usual,
18:12
I have amazing videos on.
18:14
I mean, this video is 40 minutes.
18:15
I think this video is 30 minutes on
18:17
how to use LinkedIn Sales Navigator.
18:18
That's actually my number one video
18:19
on YouTube. And then how to use
18:21
Boolean searches to find higher
18:22
quality people. So that's going to
18:23
be in that Google document that I
18:25
talked about below.
18:26
But let's just use the people
18:27
feature inside of Apollo for now.
18:29
So once we scroll down here,
18:31
you're going to want to create a new
18:33
lead list with the most
18:34
qualified filters possible.
18:36
Okay. So don't try to like just
18:38
blast every single person in the
18:40
world because what we're trying to
18:41
do, especially when you're on the
18:42
free plan, is try to just get
18:44
a first few leads or a first few
18:45
calls or first few sales.
18:47
What I see a lot of he'll do is they
18:48
just like create this
18:50
basic email template and then they
18:52
send 50,000 people to them with
18:54
no kind of qualification and they
18:55
wonder why it doesn't work.
18:57
Right? Instead, I'd rather you
18:58
create a spend some time creating a
18:59
really good email template and then
19:01
send a thousand people through it
19:03
and then use that to split tested.
19:05
And then once you get it, validate
19:06
it, then we can send it to more and
19:08
more people. Okay.
19:09
So what we're going to want to do is
19:11
come to the left hand side here and
19:12
use these filters to create a
19:14
list of people. Now, remember, we're
19:15
serving accounting
19:17
firms. Okay, So we
19:19
want to come down to the
19:21
the job titles right here.
19:23
So LIST is obviously if you have
19:24
previous list, persona would be like
19:26
if you wanted to build a type of
19:27
person inside of Apollo name
19:29
would be literally you want to
19:30
search by their name.
19:31
But my recommendation would be job
19:32
titles, but not by job titles.
19:34
Actually, if you scroll down a lot
19:35
of you'll notice there's management
19:36
level. This is a lot easier to use
19:38
and it will give you more of
19:40
results. So I do owner, founder,
19:42
C-suite and partner.
19:44
So these are people that are,
19:46
that are owners, founders, c-suites
19:48
or partners of the company and a.k.a
19:50
their decision makers.
19:51
If you're not going to measure
19:52
decision maker, then it doesn't
19:53
matter unless you're serving people
19:55
that are decision makers.
19:56
But by definition if they were,
19:58
you're serving those people, they
19:59
are decision makers.
20:00
But if you best somebody else, then
20:01
if it extends the sales cycle
20:03
unnecessarily. Long Okay.
20:04
So the first one is job titles.
20:06
The second one, as I talk about
20:07
inside of year, is going to be the
20:09
location, which for us is going to
20:11
be United States. I only serve
20:13
accounting firms, the United States
20:14
in this example. So let's type in
20:15
United States, right?
20:17
This brings us down to 3 million
20:19
total people so far.
20:20
Then we're going to want to only
20:21
serve people that have one
20:22
accounting firms that have 1 to 10
20:24
employees. Now, why is employees
20:25
important?
20:26
Employees are important because
20:28
larger firms like, let's say, 11 to
20:30
20 or 21 to 50 or 51 to
20:32
100, they're going to have in-house
20:34
a lot of the stuff that a 1 to
20:36
10 firm wouldn't, for example, add 1
20:38
to 10 employees.
20:39
Very likely the owner is still doing
20:41
the marketing and the and the sales
20:42
and they're doing probably
20:43
everything.
20:44
And at 11 to 20, there's a
20:46
good chance that the owner already
20:47
has a marketing team.
20:49
So it's important that you decide
20:50
which one of these employees,
20:52
which which people you
20:54
would serve based on who your ideal
20:56
avatar is. Okay.
20:58
And then what we'll do is come down
20:59
to industry and keywords and we're
21:01
going to click on industries and we
21:02
click on accounting.
21:03
Now, that was very easy.
21:05
You might have to go through a
21:06
little bit of different things here.
21:07
Like, for example, if I was
21:08
surveying, let's say, real estate
21:10
agents, then what I might do is
21:12
let me clear out this industry
21:13
keyword. I'd probably clear out the
21:15
number of employees, I'd even clear
21:17
out the management level, and I
21:18
would just come in here and say,
21:20
Let's see, real.
21:21
Estate agent, There we go.
21:23
And let's do real estate broker
21:25
real.
21:27
Estate broker.
21:30
Cool. So this gives me 241,000.
21:32
So you're going to have to learn to
21:33
kind of play around with it a little
21:34
bit. And my recommendation is always
21:35
to look at their LinkedIn profile.
21:37
So another great thing about Apollo
21:38
is that it gives you all their
21:39
LinkedIn profiles.
21:40
So instead of like guessing,
21:42
just pull up like five or six of
21:44
these different things, profile
21:45
profiles. So let me just pull up one
21:46
of these.
21:49
So this is a real estate broker and
21:50
a real estate agent right here.
21:51
So that makes sense.
21:53
And then over here as well, real
21:54
estate agent at 21 century.
21:56
So these are my quality qualified
21:58
ideal avatar.
21:59
So I would probably use this list if
22:01
I was serving real estate agents.
22:02
But let's go back now to accounting.
22:04
Okay. Just to recap the list that we
22:06
have right now, we're going to send
22:07
an email to is there
22:09
are owners, founders, C-suites or
22:11
partners there in the United States.
22:13
They have one or ten employees and
22:14
they're in the accounting industry.
22:16
Okay. And I've opened up a few of
22:18
these and verified that this is
22:19
exactly who I want to be sending
22:20
emails to.
22:21
This is the magic part right
22:23
here. This is why we took the
22:25
time that we did in the beginning to
22:26
set the sequence, because all I'm
22:27
really going to do is click on this
22:29
button right here. Now, in the free
22:30
plan, you'll see that I can only
22:32
select 25 people
22:34
because I only have the free
22:36
plan. But if you had the paid plan,
22:38
you can literally select every
22:39
single person inside of here.
22:41
But for this example, I'm going to
22:42
select let's like three people, and
22:44
then I'm going to come here to the
22:45
sequence button and I click add to
22:47
existing sequence, and then I
22:49
click accounts, email marketing,
22:51
and then you're seeing the emails
22:52
from you and you
22:54
don't want to send the emails if
22:56
Apollo couldn't find their verified
22:58
emails because that's how you would
22:59
trash your email domain.
23:01
So make sure that you, you
23:03
keep that unchecked and then you'll
23:04
click on confirm right here.
23:06
And literally just like that, in
23:08
less than 30 minutes, we have set up
23:10
a very likely high converting
23:12
email campaign and already started
23:14
sending our first people there.
23:15
And if we wanted to validate it, we
23:16
can go back to sequences and you can
23:18
see that there's three active people
23:19
inside of here currently.
23:21
And remember, it has that 30 minute
23:22
delay just to make sure that we're
23:23
not sending people. If I was like,
23:25
Oh no, I don't want to send to these
23:26
people, I could remove them from
23:27
this or turn the sequence off before
23:29
it would send anybody over.
23:30
Make sure to click the link in the
23:31
description down below to get access
23:33
to this entire Google document so
23:34
you can set this up by yourself.
📝 Get Access To This Step-By-Step Walkthrough And Additional Training Here: https://go.scalingwithsystems.com/Lea... 💰Let Us Install Our $10M+ Marketing System For You: https://go.scalingwithsystems.com/dfy... 🚀 Here's the ultimate B2B lead generation tutorial for beginners using Apollo.io in 2023! In this video, Ravi Abuvala will guide you through the process of generating high-quality leads for your business. Learn the ins and outs of Apollo.io, discover powerful strategies, and unlock the secrets to skyrocket your B2B lead generation game. Don't forget to like, comment, and subscribe for more valuable content! 👍🔔 Chapters: 0:00 - Intro 0:34 - Apollo.io Overview 1:38 - How To Sign Up 4:02 - How To Create Your Email Sequence 6:40 - How To Create Cold Email Message 16:55 - How To Create Your Lead List ✅ SUBSCRIBE TO RAVI’S CHANNEL: http://bit.ly/subscribetoravi
🔎 RESOURCES MENTIONED 👇 How To Cold Email: Steal My $10M+ Cold Emailing Template : • How To Cold Email... Cold Email Marketing: Mistakes By Email Cold Outreach From My Inbox (AND My Fixes) : • Cold Email Market... How To Use LinkedIn Sales Navigator To Generate Leads - Features You Aren’t Using (But Need To Be) : • How To Use Linked... How To Use Boolean Search On LinkedIn [B2B Lead Generation] : • Best Boolean Sear... 🏢 Learn About Scaling With Systems https://go.scalingwithsystems.com/sca...
Taking YOUR Existing BUSINESS
With Apollo.io
BEST Lead List Scraping Tools (SMMA)
TRANSCRIPT
PART - 1
0:00
so in this video I'll be showing the top
0:02
five lead scraping tools that I use each
0:05
one of them serves its own unique
0:07
purpose and they're all amazing tools I
0:09
guarantee that everyone who watches this
0:11
video will learn about two to three
0:13
tools that they've never heard of
0:14
they'll change the way that they scrape
0:17
leads forever so starting off the video
Tool #1
0:19
with some value I put my absolute
0:21
favorite lead scraping tool at the top
0:24
of the list and that is find email so
0:27
essentially what fine email is is it's
0:30
an aid to sales Navigator and Apollo and
0:33
you can use the extension to scrape
0:35
leads from sales Navigator or Apollo
0:37
automatically not only does it scrape
0:39
the leads from these platforms but
0:41
actually well it's scraping them puts
0:43
them through the verification process so
0:45
by the time it's finished scraping all
0:48
the leads have already been verified you
0:50
only pay for the leads that are verified
0:52
from the list and it automatically sends
0:55
it to instantly so it's super you know
0:58
efficient and to show you an example of
1:01
what it looks like is you know if I'm
1:02
using sales navigator to basically build
1:05
a you know list of potential prospects
1:08
to reach out to whether it be cold email
1:10
you know for cold email for example what
1:12
I would do is once I have my list I
1:15
would install the find email extension
1:16
and I would click export to CSV one of
1:19
the downsides is you can only do about
1:21
2500 per day so you know in this search
1:24
there's about 1500 people for this
1:26
example so I would type in 1500 I would
1:29
choose the list that I wanted to send to
1:31
I would click export CSV and right now
1:33
it's going to go through this list of
1:35
1500 people not only is it scraping
1:37
their information but as it's scraping
1:40
their information it puts those emails
1:42
from these leads
1:44
through the verification process and
1:47
it's only going to charge me for the
1:49
leads that are verified so you can see
1:51
it spits them out back right here and it
1:53
only charges you for the leads that are
1:55
verified and then again it integrates
1:57
with instantly so you can set it up so
1:59
as soon as the lead gets verified it
2:01
just automatically uploads it into your
2:03
Campaign which is pretty crazy and
2:05
another big you know feature with find
2:07
email is just this feature alone you can
2:09
get incredibly high quality leads from
2:12
sales Navigator the fact that it auto
2:14
verifies them and sends them instantly
2:16
is absolutely insane you know I use this
2:18
software for a lot of the campaigns that
2:20
I've run and I've gotten some really
2:21
high quality leads using this as a
2:23
scraping method not only is it hyper
2:26
efficient but you get really high
2:27
quality leads from sales Navigator but
2:30
if you use Apollo you can use find email
2:33
with Apollo so if you've used Apollo you
2:35
know that it's very annoying you can
2:37
only select 25 leads at a time you have
2:39
to manually Page by page 25 by 25 save
2:43
leads to your list and you have to do
2:45
this all the way up to 10 000 it takes a
2:47
couple hours right and if you've done
2:48
this before you'll know it's a very
2:50
tedious process but again you can use
2:53
the find email Chrome extension paired
2:56
with Apollo and so you can see we have
2:58
you know once we've put in our Apollo
3:00
search we have the export to CSV option
3:03
right here just go ahead and click that
3:05
and again you can only do 2500 at a time
3:08
or I guess Apollo might flag your
3:10
account and what I mean at a time I mean
3:12
per day so that's the only downside but
3:14
again you know I'd rather have a you
3:16
know higher quality leads than have the
3:19
fastest lead scraping method I will show
3:21
you some faster methods in this video
3:22
but you know that being said that is the
3:25
only small downside to find email which
3:27
I really don't mind and you don't have
3:30
to use your Apollo credits so you can
3:31
essentially just use Apollo as a lead
3:34
source and find email will enrich that
3:36
lead source for you not only go Page by
3:39
Page and scrape all the leads but again
3:41
verify them for you so I could choose
3:43
the list that I wanted to verify I2 and
3:45
if I click this it will use my Apollo
3:47
credits but if I if I do click this I
3:50
said do not use Apollo emails it will
3:52
use my find email credits instead so you
3:55
know depending uh you might want to save
3:57
your Apollo credits for something else
3:58
you know you can do that if you want you
4:00
can essentially use Apollo as a lead
4:02
source for finding mail to pull from or
4:04
if you uncheck this it will just go Page
4:06
by Page and use your actual Apollo
4:08
credits but it will still verify them
4:11
for you if that makes sense so you know
4:13
for this example let's say we do this we
4:15
click export again it's going to do the
4:16
same thing that it did with sales
4:18
Navigator and it's going through this
4:19
list and it's automatically verifying
4:21
all these leads and then it would
4:23
essentially send them into fine email
4:24
where we can go to contacts you know we
4:26
can choose the list that we want and
4:28
then we can essentially just export them
4:30
or you know we can do push contacts too
4:33
and then we can just send them straight
4:34
to instantly which again is pretty cool
4:37
and if you're wondering about the price
4:38
they have really good prices they
4:41
essentially cause you know this is like
4:42
the plan that you're going to want to go
4:44
with plan that I have it's starter it's
4:46
a hundred dollars a month for five
4:48
thousand emails and 5 000 email
4:50
verification so
4:52
you're essentially just paying a hundred
4:54
dollars a month for 5 000 verified
4:55
emails which again is an amazing price
4:58
so if you were to use Apollo you might
5:00
be thinking well with Apollo I get you
5:02
know 10 000 emails for 100 bucks a month
5:04
yeah but once you verify those Apollo
5:06
emails you're really left with about 5
5:08
000 anyways so you know you end up
5:10
getting really the same bang for your
5:12
buck
5:13
um except you know you can use this on
5:15
sales Navigator you can just have it you
5:17
know it's automated running in the
5:18
background and it's automatically
5:20
verifying those leads for you as well
5:22
and you can have them all pushed to
5:25
instantly with one click of a button
5:26
without having to export it to a CSV so
5:29
it saves you a ton of time it's a super
5:31
cool tool they also have a 250 a month
5:33
option which is basically 15 000
5:35
verified emails you know if you're
5:37
really scaling up your cold email
5:38
campaigns this is going to be the option
5:40
you want to go with as well as your
5:41
credits roll over which is a very small
5:43
feature but I really like it because
5:45
other platforms you know like Apollo
5:47
your credits don't roll over and you
5:49
know you essentially have to use those
5:50
ten thousand credits every single month
5:52
or else they're gone where with this you
5:54
know you're not forced to scrape leads
5:56
every single month or use all your
5:58
credits every single month and they'll
5:59
just kind of Stack uh to the point where
6:01
you know they just roll over each month
6:03
so right now I have like 12 000 credits
6:05
which is super nice you know it just
6:06
carries over each month so that's lead
6:09
scraping tool number one I highly
6:11
recommend using it even if you're just
6:12
using Apollo this just using this in
6:15
hand with Apollo is going to save you a
6:17
ton of time when it comes to you know
6:19
scraping the list as well as verifying
6:21
your emails and you know if your target
6:23
market is on sales Navigator this is
6:25
going to be you know one of the best
6:27
tools for scraping their emails from
6:29
sales Navigator and again it auto
6:31
verifies it for you only charges you for
6:33
the verified lead so this you know in my
6:35
opinion this lead scraping tool if your
6:38
leads are on sales Navigator or Apollo
6:40
you need this tool in Your Arsenal okay
6:43
so that's tool number one and for number
Tool #2
6:45
two we have another one that I don't
6:47
hear Too Many people talking about and
6:49
it's out scraper and what out scraper is
6:52
is it's mainly a Google map scraper so
6:55
this is going to be really good for you
6:56
if you're in you know the med spawn
6:58
Niche car detailing chiropractor Home
7:01
Improvement any of these local business
7:03
agency niches where your prospects are
7:05
on Google Maps this is going to be a
7:07
great tool and to let you in on a little
7:09
secret everyone on Fiverr who is selling
7:12
lead list they're using this tool pretty
7:15
much ninety percent of them when I was
7:16
searching up videos about uh out scraper
7:19
there's all these YouTube videos like
7:21
top side hustle is making a listing on
7:24
Fiverr and then using out scraper to
7:26
scrape the leads when people request it
7:28
okay so you're just going straight to
7:30
the source in terms of you know scraping
7:32
Google Maps also as a bonus there's a
7:34
ton of other platforms on here you can
7:36
scrape from you can scrape from Facebook
7:37
you can even scrape from only fans you
7:40
can scrape from YouTube there's a ton of
7:41
other things you can do but for the
7:43
purpose of this video I'm just talking
7:44
about their Google Maps scraper so you
7:46
know say for example we want to search
7:47
up medical spas I've already typed it in
7:49
here
7:50
um so right here you know you can show
7:52
shows you all the different types of
7:53
businesses you know medical lawyer
7:55
medical office we'll click on medical
7:57
spa and then again you know we can click
7:59
United States right here it shows us all
8:01
the different states say we wanted to
8:03
uncheck some and then even if you click
8:05
this it will show you all the cities in
8:07
that state so you know you can Target
8:08
very specific location based you can
8:11
also use a zip code if you press this
8:13
and you know you can use a very specific
8:15
zip code to Target and then what I do is
8:18
I just click this I go to emails and
8:20
contact scraper you know depending on
8:23
how much you scrape it will cost you
8:24
around
8:25
0.002 cents per domain that it scrapes
8:28
which is a really really really good
8:30
price and I'm going to show you guys how
8:31
to get 20 lifetime credit for this
8:34
platform in a second which equals out to
8:36
about 5 000 leads for the rest of your
8:39
life every month so I'll show you that
8:41
later but
8:43
um and then all you would do is you
8:44
would click I like to do ignore without
8:46
emails if you're scraping this for a
8:48
cold email campaign and you only want to
8:50
pay for uh businesses who have emails
8:52
you click that but if you're doing like
8:54
cold SMS or cold calling you can un
8:57
select this if you only want numbers
8:59
normally I use this tool for cold emails
9:01
so I select that and then this is where
9:03
you choose the amount of results you
9:05
want to scrape so you know right here I
9:06
just put 5000 basically just click get
9:09
data and what it's going to do is it's
9:11
going to say okay this search would take
9:13
about four to eight hours and for five
9:15
thousand leads all including their
9:17
emails it will cost about twenty dollars
9:19
so this is really good
9:21
um this is this seriously if you're
9:22
running local business cold email
9:24
campaigns you need this tool and what it
9:27
will do too is it'll show you you know
9:29
the first like five or six examples of
9:31
these businesses so what I could do is I
9:33
could click on this say hey I just want
9:35
to make sure that this is really the
9:36
prospect that I'm trying to Target so I
9:38
check this okay cool you know this is
9:40
the business that I'm trying to Target I
9:42
could go back and I can could click
9:43
confirm and it'll basically just run in
9:45
the background for about four to eight
9:46
hours and then I'll have 5 000 emails at
9:48
my disposal and then once it's finished
9:51
scraping it basically shows up in this
9:53
task page right here and you can
9:54
essentially just download it right here
9:56
so it's a really good tool
9:58
um if you want to get it for life you
10:01
just go it's on appsuma right now for
10:03
those of you know what opsumo is you
10:05
basically just pay a one-time fee they
10:07
give you a license that you know you get
10:09
for the rest of your life so if you just
10:10
pay a hundred dollars one time you
10:13
basically get a 5 000 lead credits from
10:16
out scraper for the rest of your life so
10:18
that's what I did and what it does is it
10:20
just loads twenty dollar credit into
10:22
your account each month uh which equates
PART - 2
10:25
to about 5 000 leads so it's really nice
10:27
you know you just pay that hundred
10:28
dollars one time and you can scrape 5
10:30
000 leads from out scraper for the rest
10:32
of your life and because of that I think
10:34
everyone should just buy it if you know
10:36
you if if you're in the local business
10:37
Niche if you're not there's not too much
10:39
need for it but you know if you're in
10:41
even if you're in short form content you
10:43
can use the YouTube search scraper right
10:45
so there's a ton of other cool tools on
10:47
here I don't want to go too deep in them
10:48
for this video because the purpose is to
10:49
show off some other tools but if this
10:51
interests you at all I definitely
10:53
recommend checking it out it's a great
10:54
tool if you're in local business Niche
10:57
um and you know the leads that are in
10:58
your Niche they're not on sales
10:59
Navigator or Apollo or some of these
11:01
other lead sources You're Gonna Want out
11:04
scraper in Your Arsenal okay so that's
11:07
number two it's out scraper it's an
11:09
incredible tool and you know one thing I
11:11
forgot to mention is it doesn't verify
11:13
the leads for you but I've found that
11:15
once I put the leads through
11:16
verification from outscraper it only
11:18
loses about 10 of them
11:20
um so you know it's not like Apollo
11:21
where you lose 50 of them so just
11:24
thought I'd mention that
Tool #3
11:25
um for Tool number three you know we
11:28
have good old Apollo I just had to
11:30
include it in here because it's honestly
11:31
I love it and you know a lot of people
11:33
kind of have a love-hate relationship
11:34
with it I really love Apollo maybe it's
11:37
because I the only time I use Apollo is
11:39
with find email so I don't have to
11:41
manually scrape Page by Page
11:43
um but a lot of people are probably
11:43
familiar with Apollo by now it's a great
11:45
data source especially if you're in B2B
11:48
you should definitely just log into it
11:49
and see if the prospects in your Niche
11:51
are on the platform and if they are I
11:53
would definitely recommend using it it's
11:55
great platform you just pay 100 a month
11:57
you get 10 000 credits which again it
11:59
equates to about 5 000 emails per month
12:01
once you verify them but you know if
12:04
you're using it with find email you can
12:05
choose whether to use your fine email
12:07
credits or your Apollo credits which
12:09
basically gives you you know you can get
12:10
a lot more leads by using fine email
12:13
then you know Paula will basically limit
12:16
you and they'll charge a lot more if you
12:17
want any more than 10 000 credits but
12:20
they have a lot of really cool filters
12:21
like buying intent which they get data
12:23
from third-party sources where they can
12:25
you know basically show you a list of
12:26
leads in your Niche from people who are
12:28
showing buying behaviors
12:30
um on other you know basically they're
12:31
they're tracking them on the Internet
12:32
and people who are visiting websites
12:35
that might be related to your service
12:36
you know you're busy targeted People
12:38
based on that they also have revenue and
12:40
funding so you know if you're in a niche
12:42
like SAS this is going to be your
12:44
absolute best friend and you have a lot
12:46
of filters I I love Apollo only downside
12:49
is that one you have to you know scrape
12:51
the leads manually which gets solved
12:53
with find email and two would say you
12:55
don't you it's really hard to get uh
12:57
phone numbers they charge you a lot
12:58
extra if you do want phone numbers so
13:00
that's the only really downside
13:02
I don't want to spend too much time on
13:04
Apollo because I think most people
13:05
already know what it is but if you don't
13:07
I just want to include it in this video
13:08
because it really is you know one of the
13:10
best lead scraping tools if your Niche
13:12
is on it and if they're not they're
13:14
definitely going to be on out scraper
13:16
Okay so
13:17
that was number three for number four we
Tool #4
13:21
have a cool little tool called use
13:23
Artemis and you know funny enough
13:25
Artemis was kind of you know a a pool at
13:29
Apollo right they're both you know that
13:31
both of the names are related
13:33
um and essentially what Artemis is it's
13:34
kind of like a a lower quality version
13:38
of Apollo but it's a lot cheaper than
13:41
Apollo and it gives you phone numbers
13:43
right so I really use use Artemis for
13:46
for getting phone numbers and they have
13:48
really good pricing right now they still
13:51
have an unlimited plan and it's actually
13:53
unlimited I think you can scrape like
13:55
1500 leads per day so you know every
13:58
month you can scrape a lot of leads but
14:00
you actually get phone numbers with us
14:02
Artemis or you can pay a hundred dollars
14:04
per month and get 7 000 credits but I
14:06
really like using used Artemis for
14:09
specifically for getting phone numbers
14:12
um and as well you can get emails from
14:14
it right so but just think of it as kind
14:16
of like a lower quality version of
14:17
Apollo follow in terms of the data but
14:20
the bonus is that you get phone numbers
14:22
and you know the the prices are a lot
14:25
better and you can get this unlimited
14:26
plan right so based on that information
14:28
you can kind of decide if you want to
14:30
use it or not so if you're running a lot
14:32
of cold SMS campaigns it will definitely
14:34
make sense to use use Artemis
14:37
um and they're just pricing is really
14:40
good right so if you're Balling on a
14:41
budget you can basically use this to
14:43
also scrape email leads but you can
14:46
expect the data to be a little bit lower
14:48
quality than Apollo another thing too is
14:51
if you get the unlimited plan they have
14:52
like a Facebook group scraper and you
14:55
know they have a couple other Cool Tools
14:57
like that supposedly you can also enrich
14:59
your data which is something that you
15:01
know a chat gbt and the the bulk
15:04
personalization the more you can enrich
15:05
your data the better because you can use
15:08
that information with Chachi BT to write
15:10
personalized first lines which if you
15:12
want to know how to write personalized
15:14
first lines with chat gbt make sure to
15:15
opt in for appointment booking secrets
15:17
and ocean is down in the description so
15:20
this is number four it's used Artemis
15:22
it's a really great tool they have
15:24
really good prices if you need a lot of
15:25
phone numbers I definitely recommend
15:27
checking it out okay so number five is
Tool #5
15:31
another app Sumo software it's called
15:34
lead rocks now what lead rocks is is
15:37
essentially it's another you know
15:38
database it's it's a lot more low
15:40
quality than Apollo they do have their
15:42
own like built-in uh data source right
15:44
here you know so I could essentially
15:46
just scrape leads from this I could
15:47
select them all I could click save the
15:49
list and I could export them and it
15:51
would come with their phone numbers so
15:53
right here you know we have this leads
15:54
phone number right here I don't really
15:56
use lead rocks for you know just
15:59
scraping from their main database I
16:01
could what I really use it for is
16:03
enriching my list so you can upload a
16:05
list of LinkedIn URLs and it'll give you
16:08
all those leads emails and not just
16:10
their emails but their phone numbers and
16:12
the main reason I use it is because it's
16:13
also on appsumo so you know you can just
16:15
pay eighty dollars one time and you
16:17
basically get I think it's around 5 000
16:19
credits for the rest of your life with
16:22
lead rocks so you know they do have a
16:24
database like they have their own
16:26
database so you can essentially pool
16:27
5000 leads from this every single month
16:30
for the rest of your life if you pay the
16:33
the 80 one time or you can stack these
16:35
codes and you can get a so you can pay
16:37
158 dollars and you could get 10 000
16:39
credits or you could do you could stack
16:42
10 codes for 800 and scrape fifty
16:44
thousand leads every single month right
16:46
so it's just it's nice to have because
16:48
you only pay one time and you have it
16:49
for the rest of your life but if you're
16:51
running a lot of cool that semester
16:52
doing a lot of cold calling this is a
16:54
great way to get phone numbers where you
16:56
can from other places you can get a list
16:58
of LinkedIn URLs which you know what you
17:01
could do with Apollo is you could use
17:03
something like instant data scraper
17:05
right so I talk about this in
17:06
appointment booking Secrets but this
17:08
tool will basically scrape so you can
17:10
see right here see it automatically
17:11
pulled some of them up so these are all
17:13
the leads that are in Apollo and it's
17:15
their LinkedIn URL so I can scrape as
17:17
many LinkedIn URLs from Apollo as I want
17:20
for free using instant data scraper and
17:23
then I can take that list of LinkedIn
17:25
profiles I can upload them in the lead
17:27
rocks and I can use my credits to turn
17:30
that list of LinkedIn profiles in the
17:32
leads so it's essentially a way to
17:34
almost hack Apollo so you don't really
17:37
want to use their lead Rock's main lead
17:40
Source you want to use it in hand with
17:42
Apollo so you know you could go to
17:43
Apollo you could export the leads from
17:45
Apollo using instant data scraper it
17:48
won't have their emails it will only
17:49
have you know their name and their
17:50
LinkedIn URL but then you can upload it
17:52
to lead rocks and it'll take around 20
17:55
to 30 percent of those leads and will
17:57
give you them with their email and with
17:59
their phone number so you can kind of
18:01
see how this is a little hack and it's a
18:03
way you can get unlimited data from
18:05
Apollo because you can get lifetime
18:07
credits from lead rocks with appsumo and
18:10
then you can use those Lifetime and then
18:12
you the thing the main if this doesn't
18:14
make sense basically if I were to just
18:16
pull leads from here look there's not
18:17
many filters right there's only like
18:19
there's only like seven filters in in
18:21
their lead source so what I can do is I
18:23
can go to Apollo and I get access to a
18:25
lot more filters and then I can use
18:27
instant data scraper to turn this list
18:30
in Apollo into a CSV of names and
18:33
Linkedin URLs I I can take that list
18:35
that's already been hyper targeted using
18:37
Apollo I can upload it into the
18:40
enrichment inside of lead rocks and I
18:42
can get about 20 to 30 percent of those
18:44
leads in here with their phone number
18:47
and their email where you where I can
18:49
use that in a cold email campaign or a
18:51
cold SMS campaign or you know just for
18:53
cold calling so it's kind of like a
18:55
little hack you know using lead rocks
18:57
and the fact that you can get unlimited
18:59
credits from appsumo right now so you
19:01
know I'd recommend stacking a lot of
19:03
credits at least just pay eighty dollars
19:05
and get 5 000 credits for the rest of
19:07
your life and then basically you can
19:09
upload uh you know you can pull some
19:10
leads from Apollo using instant data
19:12
scraper you can upload them into then
19:14
richer and you can get their phone
19:16
numbers right and that's another big
19:17
thing is that Apollo doesn't really give
19:19
you that many phone numbers
19:21
um so I really like lead rocks I think
19:23
it's good to have in your Arsenal
19:24
especially if you're doing a lot of
19:25
stuff with cold SMS but you know if you
19:28
just use their own data source filters
19:30
on its own it's not that good but if you
19:32
use it with Apollo to kind of hyper
19:34
Tower Target and get higher quality
19:36
leads then upload them to lead rocks it
19:38
makes it extremely worth it especially
19:40
if you need a lot of phone numbers okay
Summary
19:42
so you know those are the top five lead
19:44
scraping tools that that I'm really
19:47
using right now I use a combination of
19:49
all of these for different purposes
19:50
there's a lot others that'll you there's
19:52
a lot of others that I'll use here and
19:54
there but you know these five I'd say
19:56
they're really like I use one of these
19:59
90 of the time I think you know one of
20:02
these kind of plays its own role where
20:03
having all five of these will pretty
20:05
much give you the best of everything
20:07
that you could potentially need when it
20:09
comes to scraping leads so again if you
20:12
enjoyed this video make sure to leave a
20:14
like and comment your favorite lead
20:16
Source again guys if you're gonna try
20:18
any of these please just try fine email
20:20
it is such a game changing software I'm
20:22
telling you guys and if you haven't got
Appointment Booking Secrets FREE Notion
20:24
it yet make sure to get appointment
20:26
booking Secrets it's in the description
20:27
I just uploaded a video to there on how
20:30
to use chat gbt to write personalized
20:33
first line emails
20:35
um and it's super effective you know
20:37
I've been starting to use it in
20:38
campaigns and seeing really good results
20:40
so I'll see you guys in the next
Apollo.io
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The platforms, websites and the tool's are the best for growing your business in 2022/3
שלום וברוכים הבאים לאתר החדש שלנו המשתף אתכם בפלטפורמות האינטרנט והכלים החזקים ביותר הקיימים היום ברשת. כל הפלטפורמות, האתרים והכלים הם בעלי בינה מלאכותית AI ובעלי דירוג של 5 כוכבים. כל הפלטפורמות, האתרים והכלים חינמיים ומקצועיים בתשלום הפלטפורמות, האתרים והכלים באתר זה הם הטובים ביותר והמועילים ביותר להצמחת ולהגדלת העסק שלך ב-2022/3
A Guide for AI-Enhancing YOUR Existing Business Application
A guide to improving your existing business application of artificial intelligence
מדריך לשיפור היישום העסקי הקיים שלך בינה מלאכותית
What is Artificial Intelligence and how does it work? What are the 3 types of AI?
What is Artificial Intelligence and how does it work? What are the 3 types of AI? The 3 types of AI are: General AI: AI that can perform all of the intellectual tasks a human can. Currently, no form of AI can think abstractly or develop creative ideas in the same ways as humans. Narrow AI: Narrow AI commonly includes visual recognition and natural language processing (NLP) technologies. It is a powerful tool for completing routine jobs based on common knowledge, such as playing music on demand via a voice-enabled device. Broad AI: Broad AI typically relies on exclusive data sets associated with the business in question. It is generally considered the most useful AI category for a business. Business leaders will integrate a broad AI solution with a specific business process where enterprise-specific knowledge is required. How can artificial intelligence be used in business? AI is providing new ways for humans to engage with machines, transitioning personnel from pure digital experiences to human-like natural interactions. This is called cognitive engagement. AI is augmenting and improving how humans absorb and process information, often in real-time. This is called cognitive insights and knowledge management. Beyond process automation, AI is facilitating knowledge-intensive business decisions, mimicking complex human intelligence. This is called cognitive automation. What are the different artificial intelligence technologies in business? Machine learning, deep learning, robotics, computer vision, cognitive computing, artificial general intelligence, natural language processing, and knowledge reasoning are some of the most common business applications of AI. What is the difference between artificial intelligence and machine learning and deep learning? Artificial intelligence (AI) applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. What are the current and future capabilities of artificial intelligence? Current capabilities of AI include examples such as personal assistants (Siri, Alexa, Google Home), smart cars (Tesla), behavioral adaptation to improve the emotional intelligence of customer support representatives, using machine learning and predictive algorithms to improve the customer’s experience, transactional AI like that of Amazon, personalized content recommendations (Netflix), voice control, and learning thermostats. Future capabilities of AI might probably include fully autonomous cars, precision farming, future air traffic controllers, future classrooms with ambient informatics, urban systems, smart cities and so on. To know more about the scope of artificial intelligence in your business, please connect with our expert.
מהי בינה מלאכותית וכיצד היא פועלת? מהם 3 סוגי הבינה המלאכותית?
מהי בינה מלאכותית וכיצד היא פועלת? מהם 3 סוגי הבינה המלאכותית? שלושת סוגי הבינה המלאכותית הם: בינה מלאכותית כללית: בינה מלאכותית שיכולה לבצע את כל המשימות האינטלקטואליות שאדם יכול. נכון לעכשיו, שום צורה של AI לא יכולה לחשוב בצורה מופשטת או לפתח רעיונות יצירתיים באותן דרכים כמו בני אדם. בינה מלאכותית צרה: בינה מלאכותית צרה כוללת בדרך כלל טכנולוגיות זיהוי חזותי ועיבוד שפה טבעית (NLP). זהו כלי רב עוצמה להשלמת עבודות שגרתיות המבוססות על ידע נפוץ, כגון השמעת מוזיקה לפי דרישה באמצעות מכשיר התומך בקול. בינה מלאכותית רחבה: בינה מלאכותית רחבה מסתמכת בדרך כלל על מערכי נתונים בלעדיים הקשורים לעסק המדובר. זה נחשב בדרך כלל לקטגוריית הבינה המלאכותית השימושית ביותר עבור עסק. מנהיגים עסקיים ישלבו פתרון AI רחב עם תהליך עסקי ספציפי שבו נדרש ידע ספציפי לארגון. כיצד ניתן להשתמש בבינה מלאכותית בעסק? AI מספקת דרכים חדשות לבני אדם לעסוק במכונות, ומעבירה את הצוות מחוויות דיגיטליות טהורות לאינטראקציות טבעיות דמויות אדם. זה נקרא מעורבות קוגניטיבית. בינה מלאכותית מגדילה ומשפרת את האופן שבו בני אדם קולטים ומעבדים מידע, לעתים קרובות בזמן אמת. זה נקרא תובנות קוגניטיביות וניהול ידע. מעבר לאוטומציה של תהליכים, AI מאפשר החלטות עסקיות עתירות ידע, תוך חיקוי אינטליגנציה אנושית מורכבת. זה נקרא אוטומציה קוגניטיבית. מהן טכנולוגיות הבינה המלאכותית השונות בעסק? למידת מכונה, למידה עמוקה, רובוטיקה, ראייה ממוחשבת, מחשוב קוגניטיבי, בינה כללית מלאכותית, עיבוד שפה טבעית וחשיבת ידע הם חלק מהיישומים העסקיים הנפוצים ביותר של AI. מה ההבדל בין בינה מלאכותית ולמידת מכונה ולמידה עמוקה? בינה מלאכותית (AI) מיישמת ניתוח מתקדמות וטכניקות מבוססות לוגיקה, כולל למידת מכונה, כדי לפרש אירועים, לתמוך ולהפוך החלטות לאוטומטיות ולנקוט פעולות. למידת מכונה היא יישום של בינה מלאכותית (AI) המספק למערכות את היכולת ללמוד ולהשתפר מניסיון באופן אוטומטי מבלי להיות מתוכנתים במפורש. למידה עמוקה היא תת-קבוצה של למידת מכונה בבינה מלאכותית (AI) שיש לה רשתות המסוגלות ללמוד ללא פיקוח מנתונים שאינם מובנים או ללא תווית. מהן היכולות הנוכחיות והעתידיות של בינה מלאכותית? היכולות הנוכחיות של AI כוללות דוגמאות כמו עוזרים אישיים (Siri, Alexa, Google Home), מכוניות חכמות (Tesla), התאמה התנהגותית לשיפור האינטליגנציה הרגשית של נציגי תמיכת לקוחות, שימוש בלמידת מכונה ואלגוריתמים חזויים כדי לשפר את חווית הלקוח, עסקאות בינה מלאכותית כמו זו של אמזון, המלצות תוכן מותאמות אישית (Netflix), שליטה קולית ותרמוסטטים ללמידה. יכולות עתידיות של AI עשויות לכלול כנראה מכוניות אוטונומיות מלאות, חקלאות מדויקת, בקרי תעבורה אוויריים עתידיים, כיתות עתידיות עם אינפורמטיקה סביבתית, מערכות עירוניות, ערים חכמות וכן הלאה. כדי לדעת יותר על היקף הבינה המלאכותית בעסק שלך, אנא צור קשר עם המומחה שלנו.
Glossary of Terms
Application Programming Interface(API):
An API, or application programming interface, is a set of rules and protocols that allows different software programs to communicate and exchange information with each other. It acts as a kind of intermediary, enabling different programs to interact and work together, even if they are not built using the same programming languages or technologies. API's provide a way for different software programs to talk to each other and share data, helping to create a more interconnected and seamless user experience.
Artificial Intelligence(AI):
the intelligence displayed by machines in performing tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language understanding. AI is achieved by developing algorithms and systems that can process, analyze, and understand large amounts of data and make decisions based on that data.
Compute Unified Device Architecture(CUDA):
CUDA is a way that computers can work on really hard and big problems by breaking them down into smaller pieces and solving them all at the same time. It helps the computer work faster and better by using special parts inside it called GPUs. It's like when you have lots of friends help you do a puzzle - it goes much faster than if you try to do it all by yourself.
The term "CUDA" is a trademark of NVIDIA Corporation, which developed and popularized the technology.
Data Processing:
The process of preparing raw data for use in a machine learning model, including tasks such as cleaning, transforming, and normalizing the data.
Deep Learning(DL):
A subfield of machine learning that uses deep neural networks with many layers to learn complex patterns from data.
Feature Engineering:
The process of selecting and creating new features from the raw data that can be used to improve the performance of a machine learning model.
Freemium:
You might see the term "Freemium" used often on this site. It simply means that the specific tool that you're looking at has both free and paid options. Typically there is very minimal, but unlimited, usage of the tool at a free tier with more access and features introduced in paid tiers.
Generative Art:
Generative art is a form of art that is created using a computer program or algorithm to generate visual or audio output. It often involves the use of randomness or mathematical rules to create unique, unpredictable, and sometimes chaotic results.
Generative Pre-trained Transformer(GPT):
GPT stands for Generative Pretrained Transformer. It is a type of large language model developed by OpenAI.
GitHub:
GitHub is a platform for hosting and collaborating on software projects
Google Colab:
Google Colab is an online platform that allows users to share and run Python scripts in the cloud
Graphics Processing Unit(GPU):
A GPU, or graphics processing unit, is a special type of computer chip that is designed to handle the complex calculations needed to display images and video on a computer or other device. It's like the brain of your computer's graphics system, and it's really good at doing lots of math really fast. GPUs are used in many different types of devices, including computers, phones, and gaming consoles. They are especially useful for tasks that require a lot of processing power, like playing video games, rendering 3D graphics, or running machine learning algorithms.
Large Language Model(LLM):
A type of machine learning model that is trained on a very large amount of text data and is able to generate natural-sounding text.
Machine Learning(ML):
A method of teaching computers to learn from data, without being explicitly programmed.
Natural Language Processing(NLP):
A subfield of AI that focuses on teaching machines to understand, process, and generate human language
Neural Networks:
A type of machine learning algorithm modeled on the structure and function of the brain.
Neural Radiance Fields(NeRF):
Neural Radiance Fields are a type of deep learning model that can be used for a variety of tasks, including image generation, object detection, and segmentation. NeRFs are inspired by the idea of using a neural network to model the radiance of an image, which is a measure of the amount of light that is emitted or reflected by an object.
OpenAI:
OpenAI is a research institute focused on developing and promoting artificial intelligence technologies that are safe, transparent, and beneficial to society
Overfitting:
A common problem in machine learning, in which the model performs well on the training data but poorly on new, unseen data. It occurs when the model is too complex and has learned too many details from the training data, so it doesn't generalize well.
Prompt:
A prompt is a piece of text that is used to prime a large language model and guide its generation
Python:
Python is a popular, high-level programming language known for its simplicity, readability, and flexibility (many AI tools use it)
Reinforcement Learning:
A type of machine learning in which the model learns by trial and error, receiving rewards or punishments for its actions and adjusting its behavior accordingly.
Spatial Computing:
Spatial computing is the use of technology to add digital information and experiences to the physical world. This can include things like augmented reality, where digital information is added to what you see in the real world, or virtual reality, where you can fully immerse yourself in a digital environment. It has many different uses, such as in education, entertainment, and design, and can change how we interact with the world and with each other.
Stable Diffusion:
Stable Diffusion generates complex artistic images based on text prompts. It’s an open source image synthesis AI model available to everyone. Stable Diffusion can be installed locally using code found on GitHub or there are several online user interfaces that also leverage Stable Diffusion models.
Supervised Learning:
A type of machine learning in which the training data is labeled and the model is trained to make predictions based on the relationships between the input data and the corresponding labels.
Unsupervised Learning:
A type of machine learning in which the training data is not labeled, and the model is trained to find patterns and relationships in the data on its own.
Webhook:
A webhook is a way for one computer program to send a message or data to another program over the internet in real-time. It works by sending the message or data to a specific URL, which belongs to the other program. Webhooks are often used to automate processes and make it easier for different programs to communicate and work together. They are a useful tool for developers who want to build custom applications or create integrations between different software systems.
מילון מונחים
ממשק תכנות יישומים (API): API, או ממשק תכנות יישומים, הוא קבוצה של כללים ופרוטוקולים המאפשרים לתוכנות שונות לתקשר ולהחליף מידע ביניהן. הוא פועל כמעין מתווך, המאפשר לתוכניות שונות לקיים אינטראקציה ולעבוד יחד, גם אם הן אינן בנויות באמצעות אותן שפות תכנות או טכנולוגיות. ממשקי API מספקים דרך לתוכנות שונות לדבר ביניהן ולשתף נתונים, ועוזרות ליצור חווית משתמש מקושרת יותר וחלקה יותר. בינה מלאכותית (AI): האינטליגנציה שמוצגת על ידי מכונות בביצוע משימות הדורשות בדרך כלל אינטליגנציה אנושית, כגון למידה, פתרון בעיות, קבלת החלטות והבנת שפה. AI מושגת על ידי פיתוח אלגוריתמים ומערכות שיכולים לעבד, לנתח ולהבין כמויות גדולות של נתונים ולקבל החלטות על סמך הנתונים הללו. Compute Unified Device Architecture (CUDA): CUDA היא דרך שבה מחשבים יכולים לעבוד על בעיות קשות וגדולות באמת על ידי פירוקן לחתיכות קטנות יותר ופתרון כולן בו זמנית. זה עוזר למחשב לעבוד מהר יותר וטוב יותר על ידי שימוש בחלקים מיוחדים בתוכו הנקראים GPUs. זה כמו כשיש לך הרבה חברים שעוזרים לך לעשות פאזל - זה הולך הרבה יותר מהר מאשר אם אתה מנסה לעשות את זה לבד. המונח "CUDA" הוא סימן מסחרי של NVIDIA Corporation, אשר פיתחה והפכה את הטכנולוגיה לפופולרית. עיבוד נתונים: תהליך הכנת נתונים גולמיים לשימוש במודל למידת מכונה, כולל משימות כמו ניקוי, שינוי ונימול של הנתונים. למידה עמוקה (DL): תת-תחום של למידת מכונה המשתמש ברשתות עצביות עמוקות עם רבדים רבים כדי ללמוד דפוסים מורכבים מנתונים. הנדסת תכונות: תהליך הבחירה והיצירה של תכונות חדשות מהנתונים הגולמיים שניתן להשתמש בהם כדי לשפר את הביצועים של מודל למידת מכונה. Freemium: ייתכן שתראה את המונח "Freemium" בשימוש לעתים קרובות באתר זה. זה פשוט אומר שלכלי הספציפי שאתה מסתכל עליו יש אפשרויות חינמיות וגם בתשלום. בדרך כלל יש שימוש מינימלי מאוד, אך בלתי מוגבל, בכלי בשכבה חינמית עם יותר גישה ותכונות שהוצגו בשכבות בתשלום. אמנות גנרטיבית: אמנות גנרטיבית היא צורה של אמנות שנוצרת באמצעות תוכנת מחשב או אלגוריתם ליצירת פלט חזותי או אודיו. לרוב זה כרוך בשימוש באקראיות או בכללים מתמטיים כדי ליצור תוצאות ייחודיות, בלתי צפויות ולעיתים כאוטיות. Generative Pre-trained Transformer(GPT): GPT ראשי תיבות של Generative Pre-trained Transformer. זהו סוג של מודל שפה גדול שפותח על ידי OpenAI. GitHub: GitHub היא פלטפורמה לאירוח ושיתוף פעולה בפרויקטי תוכנה
Google Colab: Google Colab היא פלטפורמה מקוונת המאפשרת למשתמשים לשתף ולהריץ סקריפטים של Python בענן Graphics Processing Unit(GPU): GPU, או יחידת עיבוד גרפית, הוא סוג מיוחד של שבב מחשב שנועד להתמודד עם המורכבות חישובים הדרושים להצגת תמונות ווידאו במחשב או במכשיר אחר. זה כמו המוח של המערכת הגרפית של המחשב שלך, והוא ממש טוב לעשות הרבה מתמטיקה ממש מהר. GPUs משמשים סוגים רבים ושונים של מכשירים, כולל מחשבים, טלפונים וקונסולות משחקים. הם שימושיים במיוחד למשימות הדורשות כוח עיבוד רב, כמו משחקי וידאו, עיבוד גרפיקה תלת-ממדית או הפעלת אלגוריתמים של למידת מכונה. מודל שפה גדול (LLM): סוג של מודל למידת מכונה שאומן על כמות גדולה מאוד של נתוני טקסט ומסוגל ליצור טקסט בעל צליל טבעי. Machine Learning (ML): שיטה ללמד מחשבים ללמוד מנתונים, מבלי להיות מתוכנתים במפורש. עיבוד שפה טבעית (NLP): תת-תחום של AI המתמקד בהוראת מכונות להבין, לעבד וליצור שפה אנושית רשתות עצביות: סוג של אלגוריתם למידת מכונה המבוססת על המבנה והתפקוד של המוח. שדות קרינה עצביים (NeRF): שדות קרינה עצביים הם סוג של מודל למידה עמוקה שיכול לשמש למגוון משימות, כולל יצירת תמונה, זיהוי אובייקטים ופילוח. NeRFs שואבים השראה מהרעיון של שימוש ברשת עצבית למודל של זוהר תמונה, שהוא מדד לכמות האור שנפלט או מוחזר על ידי אובייקט. OpenAI: OpenAI הוא מכון מחקר המתמקד בפיתוח וקידום טכנולוגיות בינה מלאכותית שהן בטוחות, שקופות ומועילות לחברה. Overfitting: בעיה נפוצה בלמידת מכונה, שבה המודל מתפקד היטב בנתוני האימון אך גרועים בחדשים, בלתי נראים. נתונים. זה מתרחש כאשר המודל מורכב מדי ולמד יותר מדי פרטים מנתוני האימון, כך שהוא לא מכליל היטב. הנחיה: הנחיה היא פיסת טקסט המשמשת לתכנון מודל שפה גדול ולהנחות את הדור שלו Python: Python היא שפת תכנות פופולרית ברמה גבוהה הידועה בפשטות, בקריאות ובגמישות שלה (כלי AI רבים משתמשים בה) למידת חיזוק: סוג של למידת מכונה שבה המודל לומד על ידי ניסוי וטעייה, מקבל תגמולים או עונשים על מעשיו ומתאים את התנהגותו בהתאם. מחשוב מרחבי: מחשוב מרחבי הוא השימוש בטכנולוגיה כדי להוסיף מידע וחוויות דיגיטליות לעולם הפיזי. זה יכול לכלול דברים כמו מציאות רבודה, שבה מידע דיגיטלי מתווסף למה שאתה רואה בעולם האמיתי, או מציאות מדומה, שבה אתה יכול לשקוע במלואו בסביבה דיגיטלית. יש לו שימושים רבים ושונים, כמו בחינוך, בידור ועיצוב, והוא יכול לשנות את האופן שבו אנו מתקשרים עם העולם ואחד עם השני. דיפוזיה יציבה: דיפוזיה יציבה מייצרת תמונות אמנותיות מורכבות המבוססות על הנחיות טקסט. זהו מודל AI של סינתזת תמונות בקוד פתוח הזמין לכולם. ניתן להתקין את ה-Stable Diffusion באופן מקומי באמצעות קוד שנמצא ב-GitHub או שישנם מספר ממשקי משתמש מקוונים הממנפים גם מודלים של Stable Diffusion. למידה מפוקחת: סוג של למידת מכונה שבה נתוני האימון מסומנים והמודל מאומן לבצע תחזיות על סמך היחסים בין נתוני הקלט והתוויות המתאימות. למידה ללא פיקוח: סוג של למידת מכונה שבה נתוני האימון אינם מסומנים, והמודל מאומן למצוא דפוסים ויחסים בנתונים בעצמו. Webhook: Webhook הוא דרך של תוכנת מחשב אחת לשלוח הודעה או נתונים לתוכנית אחרת דרך האינטרנט בזמן אמת. זה עובד על ידי שליחת ההודעה או הנתונים לכתובת URL ספציפית, השייכת לתוכנית האחרת. Webhooks משמשים לעתים קרובות כדי להפוך תהליכים לאוטומטיים ולהקל על תוכניות שונות לתקשר ולעבוד יחד. הם כלי שימושי למפתחים שרוצים לבנות יישומים מותאמים אישית או ליצור אינטגרציות בין מערכות תוכנה שונות.
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