0:02 Hey guys, what's up? Kyle Dixon here. In
0:03 this video, I'm going be showing you
0:06 guys the exact process on how to set up
0:09 cold email infrastructure the right way
0:11 and some good tools you guys could use
0:13 and some things to know about each of
0:15 these tools. So, I'm going to be
0:16 covering everything from how to set the
0:19 inboxes, where to get the inboxes at the
0:22 cheapest places, domains, email sending
0:25 tools, enrichment tools, intent signals,
0:29 all that stuff. So the only the f I
0:31 guess the first logical place to start
0:34 with this whole process is the domains.
0:36 So for domains
0:39 kind of hopping straight into this is I
0:42 usually buy from GoDaddy or NameCheep.
0:44 Now you can get them um from wherever
0:46 you want. It doesn't really matter too
0:48 much on where you buy them. Um but I get
0:51 mine from GoDaddy or NameCheep. Okay.
0:55 Now, once I buy them, I wait 30 days uh
0:57 before I start sending emails. So, you
0:59 want to age your domains at least 30
1:01 days before you start sending emails.
1:04 You could push it and do uh 21 days.
1:07 It's up to you. Um I've done that before
1:11 and it it's fine, but
1:14 ideally you want to wait 30 days. Okay.
1:17 Now, for the next step, only have two to
1:19 three inboxes per domain. So, what does
1:22 this mean? This means for example an
1:25 inbox would be kyle@nike.com.
1:28 That's one inbox, right? That's one
1:31 inbox per domain. Now imagine I have
1:38 That's two inboxes per domain. Now you
1:39 know what you know what a third looks
1:42 like. It could be ryan@nike.com.
1:44 Right? So that'd be two to three inboxes
1:48 per domain. anything over that
1:49 and you're gonna have too many cold
1:52 emails being sent from one domain which
1:54 is going to destroy your domain
1:57 basically health. So there's three
2:00 different types of deliverability
2:02 infrastructure things you need to really
2:04 think about here when it comes to like
2:06 infrastructure wise. So there's
2:08 copyrightiting and stuff like that but
2:11 the three main things are inbox health,
2:14 domain health, and IP address health.
2:17 Now, Google and um
2:19 Microsoft take care of the IP address
2:22 health. If you do buy private SMTP
2:26 server uh inboxes,
2:28 you will have to take care of the IP
2:31 health yourself. Okay? So, IP you don't
2:32 really have to worry about too much
2:36 unless you're buying SMTP inboxes, which
2:38 I don't really recommend doing in the
2:39 beginning. If you want to do that in the
2:41 future once you get more experience, you
2:43 could do that. Uh but for Google and
2:44 Microsoft, you don't really have to
2:46 worry about that process. So now for
2:48 domain health, how you hurt domain
2:51 health is by blasting too many emails
2:54 from too many inboxes under one domain.
2:55 So we the way we take care of the health
2:58 of the domain is limiting the amount of
3:00 inboxes we have per domain if that makes
3:02 sense. Now inbox health is not sending
3:06 too many emails per inbox. Okay.
3:08 Now, another thing to keep in mind for
3:10 domains is only send cold emails from
3:13 the secondary domains.
3:16 So, what does this mean? If your primary
3:18 domain is nike.com,
3:20 you should buy secondary domains that
3:23 are go nike.com, get nike.com, and you
3:25 send cold emails from the secondary
3:27 domains. So, if you start sending cold
3:29 emails from the primary domain,
3:32 nike.com, and you get your primary
3:34 domain blacklisted,
3:36 then your website's not even going to
3:38 show up on Google because your domain
3:41 health for your inboxes is a is tied to
3:43 your website domain health. It's the
3:45 same domain. So, if you have a good the
3:46 same thing goes if you have a good
3:48 domain for website. So if you have a
3:50 good domain for your website um and you
3:51 start sending cold emails, your
3:52 deliverability is going to be really
3:55 good in the beginning until you destroy
3:58 it from cold email. So make sure you buy
4:01 secondary domains. Okay. Now for
4:04 inboxes, I buy my inboxes through scaled
4:08 mail. On average, each inbox is $3.50.
4:11 Now if you buy these through Google,
4:15 it's $8.40 per inbox. So, these are
4:17 going still going to be Google inboxes
4:19 as you guys can see here. Um, you could
4:21 buy Google inboxes. You guys could buy
4:24 Microsoft inboxes. You could buy, I believe,
4:26 believe,
4:28 SMTP inboxes. That's what I was talking
4:30 about with the IP address stuff. So, you
4:32 could buy them here. Now, I recommend
4:34 getting Google inboxes. They have the
4:36 highest deliverability right now. So, if
4:37 you're going to get started, get this
4:40 one for 140 bucks a month. 40 in boxes,
4:43 20 domains required. You can send up to
4:45 24,000 cold emails per month. Now, if
4:47 you want to level it up, I recommend
4:48 getting this one. So, you can send
4:52 42,000 42,000 cold emails per month, 245
4:55 bucks, 35 domains, 70 inboxes, and you
4:57 can keep leveling it up if you want to
5:00 get to 100 inboxes, 350 bucks a month,
5:02 60,000 emails. As you can see, you can
5:04 get whatever you want here. All right.
5:05 Now, what I recommend when you get your
5:09 inboxes is that you only send 20 cold
5:12 emails per day per inbox. So, if you
5:14 have 10 inboxes, you should only be
5:17 sending 200 cold emails a day across all
5:20 10 inboxes. Okay? Now, you want to send
5:25 25 warm emails a day. So, what this
5:27 means is inside of the tool that we'll
5:30 talk about later, instantly, they have a
5:32 warm-up automation where essentially
5:34 there's other people who also use
5:36 instantly, right? And it will send
5:38 emails back and forth from your account
5:40 to other instantly accounts and from
5:41 their instantly accounts to your
5:43 account. So, what these warm emails are
5:45 going to do is it's going to counter
5:47 interact the cold emails you send so
5:50 your domain health and inbox health can
5:52 stay healthy. Because if you're sending
5:55 20 cold emails and your your reply rate
5:57 is like 2%.
5:58 Google's going to see that and see that
5:59 you're spam. Because usually when you
6:02 send emails to people, you're getting
6:04 replied back to at least 30 to 50% of
6:06 the time, right? So that what the warm
6:07 emails are going to do is it's going to
6:10 simulate uh good conversations happening
6:13 on your in your inboxes and on a domain
6:15 level too, which is going to it's just
6:17 going to basically keep your domains and
6:20 inboxes healthy. Now I So you want to
6:22 send 25 warm emails a day, 25 cold
6:24 emails a day, which means each inbox
6:26 should be sending around 45 emails a day
6:30 in total. Okay? Now you want to warm up
6:33 your uh inboxes for at least 14 days
6:36 inside of Insta and you want to ramp up
6:38 the warm emails. So the first day of
6:40 warm sending warm emails should be like
6:42 two emails a day. The next day you
6:44 should be sending four warm emails a
6:45 day. The next day you should be sending
6:47 six warm emails a day. And you're going
6:50 to slowly build up to that 25 warm
6:53 emails a day over a 14-day period. And
6:54 the same thing with the cold emails.
6:57 Once you launch your cold emails, the
6:58 first day you're only going to send like
7:01 one or two cold emails a day per inbox.
7:03 The next day you'll send about, you
7:05 know, three or four cold emails a day
7:07 per inbox. And you'll slowly ramp that
7:09 process up over two weeks to like 20
7:12 emails a day per inbox. So that's
7:15 domains, that's inboxes. Now, the email
7:17 sending tool, Instantly.
7:20 So, inside of Instantly, basically what
7:22 this tool does is it sends emails for
7:24 you automatically. So, instead of you
7:26 having to email all your prospects one
7:30 by one manually, you could just put your
7:32 lead list in there with a S, you know,
7:35 CSV file like this. And you put your
7:38 lead list in there.
7:40 And then you could put your schedule in
7:43 here. Okay. So then [snorts] you just
7:46 press launch, resume campaign. So that's
7:50 kind of what that looks like. Um,
7:52 basically infrastructure wise, I don't
7:54 know why I'm on here.
7:56 Um, so that that's the automated part.
7:58 So it sends emails automatically. Now
8:02 also has an AI spam checker for
8:04 copyrightiting. So, kind of what that
8:08 looks like is if I go
8:11 um here and we preview some copyright
8:15 and then I test it out
8:18 uh spin tag. So, like basically what
8:20 this does, it looks for spam words in
8:23 your copyrightiting. So, it says this is
8:25 a spam word. So, there's over like 300
8:28 to 400 different spam words. And if
8:29 Google sees a lot of those spam words in
8:31 your copyrightiting, even if your inbox
8:33 health, your domain health, and your IP
8:35 address health are good. If it sees spam
8:37 copyrightiting, it won't even send it
8:40 through. So fast could be a spam word.
8:42 Now, it doesn't need to be 100% perfect,
8:44 but it needs to be as close to perfect
8:46 as possible. So like I would say around
8:50 one spam word or less, ideally zero.
8:53 Okay. And then make sure you press save.
8:56 Now, daily placement test. So inside of
8:58 instantly there's things called daily
9:00 placement test. So you basically this is
9:05 the most real data you could get on your
9:08 deliverability. So you could send you
9:10 know all these different emails from all
9:13 your inboxes testing out your copy uh
9:15 which essentially is test just testing
9:18 out um if your inbox health is good and
9:20 your copyrightiting is not spam. Now the
9:22 next thing is they have AI reply bots.
9:24 So if you get, you know, the biggest
9:27 thing to in cold email is when you get a
9:29 lead is we're responding back as fast as
9:32 possible. [snorts] So they now have
9:34 these AI reply bots where once you train
9:37 them up, they can essentially reply back
9:40 to every single lead you get
9:43 instantaneously. So think Harvard did a
9:45 study and said if you reply back to a
9:47 lead within like one to five minutes,
9:51 you have a 300% increase in conversions.
9:53 So that's why this AI reply bot is so
9:55 huge because imagine you're like taking
9:57 a poop in a toilet, right? And you get a
10:00 new lead and you miss that lead, your
10:02 percentage of closing them is going down
10:04 unless you have like a SDR or something
10:06 like that, right? Now, same thing I
10:08 talked about earlier, they automate the
10:12 warm up and uh warm up process for cold
10:17 and warm emails. So if I go to here,
10:19 you can see warm emails that are sent 20
10:21 a day, right? And you can see the
10:24 settings. So I can set a campaign limit,
10:26 increase slow ramp up process. I just
10:27 bought some more inboxes, so these
10:31 aren't set up properly yet. Um, I just
10:34 set that up right now. 20, right? And then
10:36 then
10:40 inbox placement test. Oh And then
10:42 so you can increase your warm-up. So you
10:44 you want to increase by one or two
10:46 emails a day. And then daily warm-up
10:49 limit, reply rate to the warm-up. So,
10:51 how many peop how many of your warm-up
10:53 emails are getting replied to. Now, your
10:55 open rate should really be around like
10:57 here. It just just put it in a higher
11:00 range. There's no really perfect number.
11:02 Uh, I turn this on. I send cold emails
11:05 on the weekends, so I disabled that. So,
11:07 that's kind of like the whole warm-up
11:10 process of instantly. Now, the unbox is
11:12 essentially a place I'm not going to
11:13 show this because I have all my
11:16 conversations in there. Um but
11:19 essentially it's this place where
11:21 imagine a unicycle, right? A unicycle
11:24 has one wheel. Um a bicycle has two
11:27 wheels. So a unib is essentially an
11:29 inbox for all your inboxes that are
11:32 sending cold emails. So when I go here,
11:34 all these in these all have different
11:36 inboxes, right? So if I get a reply back
11:38 to one of these, that means I would have
11:42 to monitor all 40 or 50 or 100 inboxes.
11:44 What this does is is right here, my uni
11:47 box, all my replies go in one place. So
11:52 any replies that I get go into one spot.
11:54 Now for analytics, analytics, you could
11:57 check your basically your reply rate, um
11:59 your positive reply rate, your
12:01 opportunities, your conversions,
12:04 uh emails sent, and stuff like that for
12:06 all your different campaigns and on an
12:09 account level. Now, there's also a CRM
12:10 in here. I'm not going to show that
12:12 because I want, you know, everyone to
12:15 see my data. Um, but there's a CRM in
12:18 here and essentially, um, it's like a
12:19 card-based system like kind of like
12:22 HubSpot and there's a C there's like
12:24 basically a free CRM in there. I mean,
12:26 now there's advanced stuff in that CRM
12:28 that you won't get unless you pay the
12:31 upgraded plan,
12:33 but it's good enough for what you need
12:36 to do. Now, there's AI spin tax.
12:39 So and instantly you could create
12:43 basically spin tax. So what this spinax
12:45 looks like is it looks like this. So for
12:49 example at random pick hey first name,
12:51 hi first name, hello first name. So
12:52 let's look at this here. See I have
12:54 different combinations. Let's look at
12:58 preview. So we got hi Mason, right? Hi
13:01 Mason, hello Mason. See how it's
13:03 randomly switching this up. So,
13:05 basically what this does is I have it
13:08 through bunch of different places here.
13:12 Random. Random. How this works is you
13:13 want to have as many different
13:16 combinations of your copyrightiting as
13:18 possible because if you send the same
13:20 email 10,000 times, Google will
13:22 recognize it and see that you're just
13:25 you're just blasting spam. So what you
13:26 want to do is you want to create
13:28 different combinations of your email as
13:31 many as possible that essentially is the
13:33 same email just written differently. So
13:36 every email isn't the same. If every
13:38 email isn't the same, Google's not going
13:40 to pick up on trends and you're less
13:42 likely less likely to be marked as spam.
13:46 Now lastly, lead database instantly has
13:50 a database. Believe it's up here. Yeah,
13:52 super search where you could filter by
13:56 location, job titles, industry keywords,
14:00 employees, revenue, lookalike domains.
14:01 So yeah, there's all different stuff in
14:05 here. You can even tell AI, hey, give
14:09 me a list of kitchen remodelers
14:12 remodelers
14:14 in Arizona,
14:19 and I only want CEOs.
14:21 So, I've actually never done this in
14:23 here before because I use clay. Okay.
14:26 Well, I guess it's not liking that. Uh,
14:34 Huh.
14:35 There's no way they don't have any
14:37 kitchen remodeling contractors in here.
14:40 Oh, there's industry.
14:46 Let's see what we got here.
14:49 Construction. Right. So, there's 34,000
14:52 results. Um, and yeah, you can look
14:53 through here and you can filter by
14:56 keywords, too. So, you can put like
14:58 kitchen in there and then these are all
14:59 going to be like kitchen remodeling
15:02 contractors. Okay? So, if I look up, you
15:04 know, all these different companies, if
15:06 it has keywords, it means they have
15:08 these keywords on their website. So, you
15:11 could also exclude keywords like uh roof
15:13 roofing, right? If you don't want to
15:14 reach out to roofing contractors, but I
15:15 don't want to spend too much time in
15:17 that. But that's basically the lead database.
15:18 database.
15:21 Make sure my computer isn't out here.
15:24 Okay, Clay. So, Clay is a tool that you
15:26 don't need because it is super
15:28 expensive, but it's it's extremely
15:30 helpful. So, in this tool, you can
15:33 enrich data, score data, and personalize
15:35 data. So, enrich data means you just get
15:36 more data on the prospect than you
15:39 already have. So, for example, right, if
15:41 we scrape a bunch of window, you know,
15:44 window replacement companies, all we're
15:45 going to have is the window replacement
15:49 company name, the name of the CEO,
15:51 uh, the website, and the domain, like
15:53 stuff. Basically, basic stuff like that.
15:54 But we don't know how much this
15:56 company's making. We don't know how big
15:58 this company is. So, an example of an
15:59 enrichment would be getting the
16:02 headcount of an organization,
16:04 getting their web traffic. we're getting
16:06 these enrichment, you know, enrichments
16:09 that we could use to score the prospect
16:12 against our ideal customer persona. So,
16:13 for example, if we're only trying to
16:15 work with window replacement companies
16:18 that have over 50 employees, we need to
16:19 enrich the headcount on all the window
16:22 replacement contractors that we scrape
16:23 to make sure they all have over 50
16:26 employees. So, that's what we do,
16:29 enrichment. We could then score it and
16:31 then we could then personalize it. So,
16:34 one of the examples is cleaning company
16:36 names, personal names, and domains. So,
16:37 when you scrape a list, the data is
16:40 going to be kind of messy. For example,
16:43 if I come into here, when I scrape this
16:46 data from Clay, this is Clay's database
16:49 that I scraped. This was the first name,
16:51 Jason M., that's not her first name.
16:53 Their first name is Jason. Look at this
16:54 one. I don't know how to pronounce it,
16:58 but hean Muhammad. That's two names in
17:03 the first name. Juan Manuel Manuel Anas
17:07 Wardy you know Ronaldo in all caps like
17:11 that's Dr. Panto you know you have it's
17:13 not a first name right so what we use
17:17 for clay is we clean the first name up
17:19 for some reason it's not showing it
17:22 properly but for example Jason
17:25 I told it to output Jason now the clean
17:28 name is Jason right so I can take tell
17:31 AI to go through all the first names and
17:34 return just the first name cleaned so I
17:35 can do that whole process same thing for
17:39 last name same thing for um their full
17:41 name, right? If you look at full name
17:45 here, we have CPA in it, CPA in it, all
17:47 caps. So, we could clean the names in
17:50 here with AI. Okay, so that's kind of
17:53 that process for cleaning stuff and then
17:56 you could score it. So, for example, we
17:57 actually we'll come back to that. Now,
18:00 we could find more emails in your total
18:02 addressable market. So for example, most
18:05 cold emailers only have one tool which
18:07 is usually like lead magic or something
18:11 like that. So how this tool works is
18:15 it's called a waterfall. So
18:17 as you can see here, I tried to find the
18:20 work email for these different rows. I
18:22 found a few, but I didn't find any right
18:25 here. If you look down here, I found it
18:28 with find email. Right? So basically how
18:30 this process works is it first takes
18:32 lead magic to try to find the work
18:36 email. Then it'll try ICPS to try to
18:38 find the work email. And if that ICPS
18:40 doesn't find the work email, it'll try
18:41 to find it'll try to find it with find
18:43 email. If find email doesn't find it,
18:45 it'll try to find it with Prospio,
18:47 right? And it'll keep going down this
18:48 list until it tries to find all the
18:50 emails and then it will output them
18:54 right here, right? And it will also
18:56 validate them. So you can pick your
18:59 validator. So mine's lead magic, right?
19:02 So that's what I mean by click find more
19:04 emails. You can do this waterfall
19:06 process that will help you find more of
19:09 those emails. Okay, AI research on
19:12 prospects. So how does this work? Okay,
19:16 this is a fun one. So
19:19 AI research on prospects.
19:21 I don't think I did any in here. But for
19:25 example, if I say,
19:37 Return me the
19:44 This is a [clears throat] really random
19:47 one I've never done before, but website.
19:57 I didn't create a website column, but
20:01 that should do the job.
20:06 Okay, it's creating the prompt.
20:08 So, there's certain prompts on the way
20:11 you prompt the web scraper. So, you
20:12 basically just tell what you want and
20:15 then AI will inside of Clay create the
20:17 prompt for you. As you see, like I I
20:18 don't have I don't know how to type all
20:20 this stuff out. It would take a long
20:21 time. So, I just tell you how to do it
20:23 for me. Okay. It's going to look at the
20:25 CSS variables
20:28 on the back end of the website.
20:31 Okay. It's almost done here.
20:34 Okay. Okay. Okay.
20:37 Now, the cool thing is about Clay is you
20:39 also can use your own API key. So, you
20:41 don't have to spend an insane amount of
20:44 money with Clay credits. So, my my API
20:46 key hooked up here.
20:48 We'll run this for 10 rows. This is a
20:50 bad example, but you could say, for
20:52 example, case studies, right? Or you
20:54 could say, if you don't have the c the
20:55 CEO's name, you could say, "Hey, scrape
20:58 the whole website and return me back the
21:01 CEO or the owner or the COO's name." And
21:03 then you could take the name and you can
21:05 find the email. See, you can use
21:08 basically all these different tools to
21:11 enrich the data.
21:13 Okay, of course, it's not going to work.
21:14 Okay, so this is for example, it
21:17 returned back
21:20 um six colors. So one of the colors was
21:23 okay, it's returning hex. So the next
21:25 step I could tell it to do is another AI
21:27 column. I could input all the hex codes
21:29 and say, hey, what are these hex codes
21:31 in, you know, words, like is this red,
21:34 is this green, stuff like that. I could
21:37 have also told Clay to do that, but um
21:38 not going to lie, I kind of got to take
21:41 a poop. So um just trying to be quick
21:44 with it. Okay. So there's also insane
21:47 insane amount enrichment data. So for
21:49 example, if I go to ad enrichment, I
21:52 could basically find monthly web
21:54 traffic. I could find the latest funding
21:56 round, their all their website tech
21:58 stack. So what technology is hooked up
22:01 to their website like HubSpot um instantly
22:03 instantly
22:05 uh RB2B. I can find their revenue. I can
22:07 find how many job openings they have.
22:09 Um, I could determine the revenue models
22:11 with the AI web scraper I just showed
22:14 you. Um, does the company offer a free
22:16 trial? We could check their website. You
22:17 know, there's all these different things
22:20 you could do inside of there to
22:22 basically enrich more data. And you'll
22:24 run it for all the columns.
22:27 Okay. Now, AI personalization. So, now
22:29 inside of Clay, you can basically set up
22:30 conditional things. I'm not going to go
22:32 too deep into this because this is a
22:34 whole video in itself where I could
22:36 personalize cold emails with all this
22:38 enrichment data that I was just showing
22:41 you guys. So, for example, hey John, saw
22:45 you like, hey John, um, saw you had a
22:48 new job opening at nike.com for this
22:50 position and that position, you know,
22:52 and that in that company name would be
22:54 enrichments that you got from Clay,
22:55 right? It's like, hey, I saw you had a
22:58 software opening position at Nike.com. I
22:59 don't know why they would have a
23:01 software opening position, but you could
23:03 basically just personalize the cold
23:05 emails based off the variables that you
23:07 enrich. Okay? So, every email is
23:09 different and personalized. If the
23:10 emails are personalized, they're way
23:13 more likely to respond.
23:14 And okay, now the cool thing about this
23:16 is you could automate the full process
23:19 of this thing. So, you could set up a
23:20 whole table with all these different
23:22 enrichments step by step. Hey, I want
23:23 you to clean the first name. I want you
23:25 to clean the company name. I want you to
23:27 do this. And you can create a template.
23:30 And then you just import a template, put
23:32 all your data in, and the whole table
23:35 will run from left to right. And you can
23:37 even send it to your instantly tool. So
23:42 uh, add to campaign. So you can
23:44 literally map everything out,
23:47 personalization, custom variables. So
23:49 once the whole automation runs, right,
23:50 you have the table set up like a
23:52 template. You put the data in, the whole
23:55 table will run from left to right. It
23:57 will clean all the names. It will find
23:58 the emails. It will scrape the
24:00 technology stack. It will find the
24:02 monthly web traffic on their website. It
24:04 will find any job openings. And then it
24:07 will score all the data based off all
24:09 the enrichments that I got. And then it
24:11 will personalize the cold emails. And
24:12 then it will automatically sent to instantly.ai.
24:14 instantly.ai.
24:16 Right? So that's the crazy thing about
24:17 Clay is you can have these automations
24:18 that enrich your data, score your data,
24:21 personalize your data instead of having
24:23 to redo it manually or, you know, one at
24:25 a time. Now lastly, I'm running out of
24:28 time. I'm at 3%. You guys can see here.
24:30 Uh, intent signals. So, Common Room,
24:32 UniFi, Clay, these are all different
24:33 intent signal platforms. There's
24:35 hundreds of intent signals. I'll show
24:38 you those in a second. Um, but
24:40 something I really want to tap on, then
24:41 we'll come back to those is RB2B. So,
24:44 what's RB2B? RB2B is something you could
24:46 put on your website. So, if you use G4
24:49 and you're familiar with it, you know,
24:51 the only data you really get is like the
24:53 age, uh, the gender of the person on
24:55 your website. you don't really know who
24:57 they are. You don't know their name. You
24:58 don't know their company name. So what
25:02 our B2B does is you put on your website
25:04 and then it will track the different
25:06 companies and names. So it will tell
25:09 you, hey, Kyle at root marketing was on
25:11 your website. So as you can imagine,
25:13 there's hundreds if not thousands of
25:15 people that go on your website that you
25:18 don't know about. RB2B tells you that.
25:20 And then you could automatically send
25:23 that data to Clay in a web hook, enrich
25:25 that data to find the headcount, what
25:27 industry they're in, and then you could
25:29 score them, and then you can send a
25:32 personalized cold email and do that all
25:34 automated. So that's the cool thing
25:37 about Clay once again. Now, triggery
25:38 basically tracks different types of
25:41 intent signals mainly for LinkedIn. So
25:43 it could attract who liked your LinkedIn
25:45 content, who comment on your LinkedIn
25:48 content, who is viewing your profile,
25:50 who are your connections, and they could
25:52 take all that data, send it to Clay. You
25:54 could have a Clay automation that
25:55 enriches every single one of those
25:58 prospects to find their headcount, what
25:59 industry they're in, and then you can
26:01 take all that enrichment data and score
26:04 it against your ideal customer persona,
26:05 who, for example, might be, hey, I only
26:07 want I only want to work with SAS
26:09 companies that have a 10 to 50
26:12 headcount. Okay, so it will take all the
26:14 enrichment data, use AI to score that
26:16 against your ICP to make sure they
26:19 actually are an ideal customer, ideal
26:21 customer, and if they are, it will send
26:22 automatically send them into an
26:24 instantly account and send them a cold
26:26 email and you can do that whole process
26:29 automated. Now, lastly, I'm 1%. All
26:31 right, guys. All right, guys. Just came
26:34 in clutch. Um, I had 1% left. My laptop
26:36 clutched that one up. Now, lastly,
26:39 intent signals clay. How does this work?
26:42 We'll hop into Clay real quick. We'll go
26:44 to here.
26:45 We'll go to See, there's different
26:47 signals here. There's job changes, news,
26:50 and fundraising. Uh different types of
26:52 10 signals here. Now, one of my favorite
26:54 is news because there's so much to it.
26:57 Um we'll just use [sighs and gasps] clay
27:00 table this. So, you can take your whole
27:02 clay table. For example, you could take
27:04 your whole total adjustable market. So,
27:06 if you work with SAS companies um that
27:08 are in the fitness industry, you could
27:10 scrape all those SAS companies, put them
27:13 in a table and and track intent signals
27:16 live. So, when one of your companies in
27:18 your total addressable market has one of
27:20 these intent signals, you could
27:22 automatically send them a cold email
27:24 instantly. So, for example, um
27:27 um
27:30 if one of the people in your market gets
27:32 a new award or they're recognized for
27:34 something, you could send them a cold
27:37 email automatically. So, the the cool
27:38 thing is is you could take your whole
27:40 market, your whole all your ideal
27:42 customers and you could track all this
27:45 different data on them and when one of
27:47 these things happen, you can send a
27:49 personalized cold email. And if an email
27:51 is personalized, they're like, I think
27:54 three times more likely, if not like up
27:56 to 10x more likely to respond. I've seen
27:59 cold email campaigns with 30 40%
28:01 positive reply rates, which means if
28:03 you're sending emails to a,000 people,
28:06 300 to 400 of them reach back positive.
28:08 So, intent signal campaigns are like the
28:11 highest positive reply rate campaigns,
28:13 which is why it's so huge and why I'm
28:15 going over it. So this is kind of more
28:17 advanced, but if you're at this stage
28:18 and want to implement this stuff, this
28:21 is kind of where you look at it. So did
28:22 any of the companies get, you know, a
28:24 new alliance partnership? Are any of
28:26 them going bankrupt? Are any of them
28:29 closing new branch or opening a branch?
28:30 You know, business expansion? You can
28:32 see this stuff. Are they getting bought
28:34 out? Are they cutting cost? Are is there
28:38 a new patent slashtrades trademark
28:40 dispute or infringement?
28:42 Um, did they just do a big sponsorship
28:46 and donation? You know, uh, downsizing,
28:48 headcount's going down, you know,
28:50 employee strike, fundraising, they're
28:54 going private, they're hiring, are are
28:58 they going IPO? Is there a new merger?
29:01 Uh, merger termination. All these
29:03 different intent signals you could track
29:06 on your ideal customer persona. um you
29:07 just got to put them all in clay and
29:09 then pick the signals you want to track
29:11 and then when they happen you send that
29:13 you send a very good personalized cold
29:15 email to try to sell them something.
29:18 Right? So these are really the five
29:21 things cold email infrastructure wise
29:22 you go you know inboxes I get them
29:25 through scale mail domains email sending
29:28 tool I use instantly.ai it's about you
29:30 could start with $37 a month but to
29:32 really make some damage you're gonna
29:33 have to spend around $97 a month on
29:37 this. Clay is around it's 140 but with
29:40 the API keys to save a bunch of money
29:43 it's like 344 bucks a month. Uh intent
29:46 signals RB2B I believe is like I think
29:47 around 100 bucks a month. This is around
29:49 like 100 200 bucks a month I think. And
29:52 then common room I think is like 700
29:54 something like that. Um I don't have
29:56 common room so I don't know but I see a
29:57 lot of people like it. I don't really
30:00 need it right now. Um, but yeah, so
30:02 that's intent signals, Clay, email
30:04 sending tools, domains, inboxes. That's
30:06 everything you really need to know about
30:08 cold email infrastructure. If you guys
30:09 have any questions or comments down
30:12 below, let me know. Also, check out my
30:13 other video where I talk about how to
30:16 save thousands of dollars on finding emails.
30:18 emails.
30:20 And yeah, guys, that's it for today. Um,
30:21 thank you guys so much for watching.
