Cold Email Personalization At Scale (Advanced) - Eric Nowoslawski | Cold Emails, Hot Takes #9

Go follow Eric on Twitter 👉 / enowoslawski
Check out Clay.com to build targeted lead lists within minutes 👉 www.clay.com/
In this episode we’ll cover:
- The misspelling strategy
- How to leverage trigger-based relevance to get more positive replies.
- Eric’s favorite B2B data sources (advanced stuff)
- 10x your custom variables
- How to create serendipity with your cold emails by scraping a section in Linkedin
- His proven 4-step cold email sequence structure
- And much more…
If you enjoyed this episode please give it a like and subscribe! Thanks :)
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[@Presidential_Papi]

Eric is the TRUTH!!! Great episode! 💪🏽

[@aaronprice8051]

Great episode. So much good advice and actionable insight here. Thanks guys!

[@wa6803]

Good stuff! Would love more advanced discussions like these! :)

[@InstantlyAI]

Agree! We have a lot more advanced discussions scheduled! :)

[@jaredwarner2451]

Agreed... we need to get rid of the [IWE], [GWARM] etc in warm up emails. It's the easiest thing ever for companies to spot and shut down.

[@RigWars]

very interesting

[@Ujjayofficial]

The future is ai written cold emails at scale 141 it’s already here but it’s not quite right yet. Great advice on the video though🎉

[@KarolisRudelis]

I understand how turning off open rate tracking improves deliverability and age of the inbox. But is it not a good indicator if the inbox is healthy? If open rates go down for a specific inbox - it might be marked as spam. Or you just use spam inbox checkers?