Bulk spintax output10/30/2022 ![]() ![]() For me, Lyne based its suggestions off the newsletter’s landing page. Lyne.ai test resultsįor Ajay, Lyne found an October 2020 podcast interview and used the show notes from that podcast to write its intros. Although, unlike some of the other tools, not every field was required when I fed it just first name and email address, Lyne was able to put together some intro lines based on the domain name of those email addresses. In order to fully personalize, Lyne needs: First name, last name, company name, title, email, website and personal LinkedIn. (So, for example, they’d try to find case studies first, if they couldn’t find those they’d look for blog posts, and so on.) Lyne.ai will really go digging for info about your contacts to produce its personalized lines - out of all the tools I tested, it goes deepest.Īfter I uploaded my CSV, Lyne showed me seven contact research options it could use and in a nice touch, there was a drag-and-drop menu to rank the hierarchy of those options. I kept the inputs exactly the same for all five AI products - so they were all working off the exact same info. Rather than put GMass for myself as well, which might lead to duplicate or similar results, I put my side project: The Retro, my weekly Substack newsletter about ‘80s and ‘90s pop culture. To run my test I used each product to write personalized info for two people: Here are our hands-on evaluations of five of the most popular tools that you can use to research your contacts and craft personalized cold email lines. The 5 Best AI Cold Email Personalization Tools ![]() Now that we’ve covered all that, let’s dive into the tools. So the research isn’t necessarily AI, but the processing of that research and turning that research into email lines is. GPT-3 can produce text that feels like it was written by a person it’s not perfect, but it’s getting closer and closer to replicating human writing. That’s just standard web scraping.īut when the tools then write subject lines, intro paragraphs, or message copy, they use a sophisticated AI tool called GPT-3. Based on our analysis of the tools, the process of gathering personalization info is not AI-based. (And while AI writing has come a long way, it still trends toward “wonky” to “quite wonky.”) Are cold email AI tools really using artificial intelligence? The tools could be a good start and help you stop staring at a blank screen, but their output will largely resemble the cold email templates you can find today. “Your mileage may vary,” as they say, with tools that write entire cold emails for you. Some email platforms like Mailshake, Reply, Magic Sales Bot, and Instantly have baked AI email writing into their services many of the standalone AI writing tools like Jasper, Snazzy.ai, and Lavender also have an email-writing feature. The services that can write entire emails (with varying results) are more plentiful. Right now, only a small number of companies are offering the personalization service. In this article, we’re focusing on the personalization tools, as that’s a newer technique and the one that has real potential to change your cold email success rates.
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