The GPT hype is undeniable, and we’re starting to see some cold email GPT prompts popping up on Twitter more and more often.
GPT is here to stay. You can’t check a social media feed right now without running into an AI case study.
The problem is, while a lot of the GPT prompts are interesting, novel ideas, they aren’t necessarily relevant for the modern cold outbound campaign, and the relevant use cases are few and far between.
This blog post will act as a North Star for interesting cold email GPT prompts we’re seeing on the web, the interesting use cases we are seeing – and using – in the market, so expect it to grow over the upcoming months as new use cases emerge.
For now, here’s what I’ve come up with.
P.S. Feel free to share any interesting prompts you’ve found in the comments at the bottom of the page. Let’s grow!
Sourcing a Single Product From a Company
Christian (@coldemailchris on Twitter) dropped a cool tip on a prompt for sourcing a single product from the company name to use as an ice breaker. It’s a great example of a practical cold email GPT prompt for e-commerce stores.
Single Product Prompt:
Find a specific product from each of these businesses, without adding the company name and no explanation of what it isWhich outputs something along the lines of:
You can take that and paste it back into your lead list and have a custom single product for each.
I think this is a great concept, and something we put into place for our e-commerce clients, with a few additional tweaks.
Since it all starts with having great insights into your target audience and getting laser focused on who you’re reaching out to, we take the time to know we’re working with clean data.
Fe get back the company name, import those responses in a separate sheet, and then cross-reference against the original company name.
In the past, we’ve seen clients paste data one row too high or one row too low, which of course means every single lead gets the wrong product name, and the entire lead list is burnt.
With that in mind, we see it worth the extra time it to make sure we have clean data and ensure we’re not hitting any foul balls. Figure out what you’re comfortable with and swing away! ⚾️💨
Here’s where I originally read about it. (Thanks Christian!)
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