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In today’s newsletter, I’ll share the exact system I use to find personalization elements using GPT-4. By keeping these concepts in mind, you can stop wasting hours on research and use GPT-4 as your own personal assistant.
Follow these steps to get started:
You can use any publicly available information about your prospect, but I find that using their LinkedIn profile is a good way to learn about their career, education, and interests.
To export the profile as a PDF, follow these steps:
To help GPT-4 build connections between the problems you solve and the information about your prospect, provide some context and instructions using the following prompt:
“Here’s the LinkedIn profile of a prospect. I’m trying to get this prospect to reply to my LinkedIn messages and I need to mention an element of their profile that is relevant to problems I help solve:
Now find me 5 elements from this resume that I could mention to catch their attention. Here’s the resume:
Here’s an output I got using the prompt above:
Now that you know more about your prospect, you can pick an element of personalization that sounds relevant and use it to write your outbound message.
With the example above, I used the point number 4, referring to the experience of my prospect with private tutoring.
Here’s what I wrote:
Here are the three steps you can follow to save hours of prospect research per week. This approach is also compatible with ChatGPT, so go ahead and give it a try.
I hope this helps.
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