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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.


4,731 views 23 May 2023 MIAMI

📝 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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