A little show and tell today.

You’re likely sending cold emails / cold LinkedIn messages to get customers for interviews, CITs, and MVPs. AI tools can be helpful for this if you use them right. I particularly like Claude, which I think writes more like a human than ChatGPT.

All AI tools, at this point, are best used for inspiration and perspiration - things like generating example cold emails you can riff on or creating summaries of 10,000 word research papers or a 90 minute call.

Today, we’ll talk cold messages.

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Let’s say I want to send cold emails to plumbers because I’m running a CIT for software that’ll help them better schedule appointments.

Maybe I did a bunch of customer interviews and learned that plumbers don’t have a thoughtful system around inbound business. They’re extremely busy, field a lot of calls, and basically respond to them in the order they received them. Maybe I think there’s massive opportunity here. A tool could help figure out the highest value potential customers, take into account urgency, prioritize previous customers, optimize routes, etc.

But now I need to test the big assumption - that plumbers care enough about this problem to change. Will they actually adopt new software to solve this problem?

So, I need cold emails.