How to Make $1m+ With Cold Emails | Cold Email Sales Strategy

benefits on the screen right here. And for this campaign specifically, we are using Lemlist. You can then integrate those into some sort of CRM. You're gonna wanna do that most often with Zapier. And Zapier across the board is just fantastic for all kinds of automation. So you definitely wanna be on that platform if you weren't already. Okay, we're gonna get to the AI tools in just a second. What I really wanna stress here with regard to general email campaigns and cold emailing and really sales as a whole, is you wanna split test everything that you're doing. And the logic there is unless you already know what works as in if this is a new campaign for a new client, product, service, offer, et cetera. And therefore to figure out what works best, not just what is gonna work well, you're gonna wanna split test everything to see what actually works. So for example, in this specific campaign, we're testing 18 different subjects lines. So those are just sort of the first line of an email that people read in addition to the body in general framework of that first email and then the rest of the emails in the sequence of which we use four. We're also testing and split testing the leads, right? So does the different industry increase conversion? Does the size of the company impact conversions and so on? And then the last two variables here or qualities that we're testing are completely AI driven. This is really what the focus of the video will be. And then the default subject line response rate is just about 70%. If you use something generic like pay and then personalization with the first name of the lead. So really good subjects line and copy will be above this 70% or so mark. And if you're under that, you can really just resort to the default. And here's what that split testing looks like on this campaign, right? This is just one of those sequences of which we're split testing about eight different ones. And then you have sequence A and sequence B and then within sequence A and sequence B, you have another split test of version A and version B. So that way we're getting four tests off this one main sort of concept test. So that being the body and the offer within the email. Now let's get into some of those AI tools. The primary ones we're using on this campaign and generally for all of our emails are personalized lines and personalized video. Now the overarching framework here, the concept is that the more customized an email is, the more tiered it is to the person who's receiving it, the higher the response rates, the open rates and really every metric that counts is going to be. And so for personalized lines, that's essentially just two lines that are completely tiered toward the person received the email. You really have to do that with AI. The way we do it, we built out our own system. I'll put up a screenshot of that here. And that is our IP, I'm not selling this. And that will scrape the website information associated with a lead's company name. And then it plugs that into JackGPT, which then generates a few custom lines or personalized lines for the start of an email. And that has a big difference in terms of conversions because again, every single lead feels like the email was customized to them. And there's such a massive difference in sort of custom variables, like a first name or a company name versus AI. It really is just a world apart. And then you're seeing these great personalized lines.