Master Cold Emails with AI: Cases & Tutorial

How To Get 90%+ Open Rates With AI

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Email marketing may seem creative, but success actually relies on analytics and targeting. And this science can now be automated. Creators are using AI for cold emails, leading to huge results (think Alex Hormozi's $100M+ agency, which we mentioned in an earlier newsletter).

Today, we'll review a case study of creators who've succeeded in creating cold emails using AI, find out what platforms you need to use, and show you a guide to automating your email marketing. Let's get started.

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AI Tools Lead to $150K Per Year & 91% Open Rates

If you open YouTube and type in a search for something like "cold email automation", you'll see hundreds of videos of bloggers talking about how they send emails to their customers with impressive metrics. I don't see much point in dissecting every case study (and it's impossible), so let's look at a couple of examples with the most specific metrics.

Our first case study is Jay Feldman (also known on social media as Lead Gen Jay) from Florida. Jay is a co-founder of OtterPR and a host of the Mentors Collective podcast. He often works with email marketing and brand strategy development. As Jay shared in one of his videos, automation allowed him to increase the open rate of his emails to 91%.

Jay uses several AI-based tools, including GPT for Sheets and the Derek App to achieve this result. Algorithms help the creator find additional information about potential clients and their interests and create personalized subjects. This approach ensures the target audience will open emails and respond to the creator's offer.

What's interesting is that Jay also developed his own AI based on ChatGPT to write cold emails. This model has been trained on thousands of creator emails and promises to generate ready-made emails in just two minutes.

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Another case study is traditionally about possible revenues. Meet Nick Saraev. He is a writer and entrepreneur from California who founded LeftClick, an agency that helps brands generate leads, streamline projects, and scale without human involvement. Like Jay, Nick is very active on social media and regularly shares his successes.

In one of his videos, he talked about his results over the past year: cold emails created with AI support made him $150K in additional revenue.

Nick created "The 4-Step Cold Email Copywriting System" to do just that. Here are the rules he follows:

• Logistics: Explain where you found your prospect and why they should care.

• Background: Share your capabilities and what you can do for them.

• Case study: Provide proof of your past successes.

• Risk reversal: Offer a no-brainer deal that minimizes the possibility of rejection.

Using these steps in combination with Instantly's AI platform, Nick automates lead prospecting, personalizes emails, and speeds up mailings to potential clients.

It is difficult to accurately estimate and verify Nick's income (as the creator himself says, he is a 7-figure agency owner), but the number of his clients and testimonials speak for themselves.

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What conclusions can we draw from these cases?

Here are a few key points that Jay and Nick's experience demonstrates:

• Personalization at Scale: AI can analyze prospect data to tailor email content, subject lines, and offers, making each cold email feel uniquely relevant even when sent in bulk.

• Time Savings: The right tools can automate the writing process, suggesting variations and complete drafts, freeing up the creator's time for other vital elements of their outreach.

• Data-Driven Improvement: AI platforms often track open rates, response rates, and other metrics, allowing creators to analyze what works and continuously improve their email campaigns.

Well, let's see how we can do the same (and maybe even better).

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Use These Tools to Automate Your Work With Cold Emails