3 copy-n-paste AI personalization ideas

AI email personalization can be tough to crack.

Most people do it wrong, ending up spending hours on prompting to only make the email perform worse.

But if done correctly, can absolutely unlock insane results.

Here are 3 ways you can use AI to write personalization that actually improves results:

1. Brief breakdown of prospect solution -> tie into offer

So this is how this one works:

Well first step is you need Clay (if you don’t already you won't be able to perform most of these), but inside of Clay you’ll need to use their Claygent tool to analyze each prospect’s website & output a sentence that’s essentially a brief description of their service offering.

Btw, this script is most relevant to B2B selling to B2B.

You can then do market research with ChatGPT on how your offer can specifically help X industry, and tie that in with the intro personalization

It’ll read like this: 

Intro -> I see you do X at company -> our Y solution can specifically help X because offer explanation -> Implementation CTA

2. Offer solution idea

Paying homage to Eric Nowoslawski for this one, he was one of the first people I saw use this type of personalization where you have AI craft unique creative ideas for each prospect’s business.

But in this case, instead of bullet points we’ve just turned it into 1 sentence where we mention 1 creative idea briefly and then tie it into the CTA or a case study, for example:

Case Study tie-in: 

Had for , we implemented a similar strategy for which generated

CTA tie-in: 

Had for , interested in implementing this for to generate ?

This AI personalization has always worked very well especially for any marketing related offers

3. Case studies

This is another personalization that always seems to work quite well.

All we’re doing here for this one is having Claygent scrape each prospect’s website for their case studies and either simply mention them as a relevancy touchpoint, or if you have a demand generation offer mention how you can help them attract more clients just like the ones that mention in the case studies.

Flow goes like this: Hey I saw you worked with -> we can help you get more clients like -> just helped get clients like too -> interested?

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These are probably the 3 most simple yet consistently effective AI personalization workflows we’re used to in our campaigns.

In the Outbound Code community, I share the actual workflow templates we use to perform these, so if you’re interested in implementing some of these…

I recommend joining here: theoutboundcode.com

Hope you found this one valuable, cheers.

— Christian