Bonus Cold Email Case Study [4.5]

In this video, we show you a bonus cold email case study.
This case study shows you how to find relevant leads and how to write a concise cold email that gets responses.

[@JordanFried]

super helpful product overview and case study.

[@TheCriticalSpirit]

Awesome Video! Thanks for sharing

[@emailchaser]

No problem!

[@crazykraken55]

I like the feature of personalization very much. Will the variations implemented by the GPT4 be a drastic change?

[@emailchaser]

The GPT-4o feature only makes small changes to your original email copy. It maintains the original message with very small changes. The purpose of this is to add variation to your emails so that you aren't sending the exact same email too many times, as this helps prevent your cold emails from going to spam. In terms of personalizing your cold emails for your leads, the best way to do this is not by using AI, but instead, segmenting your lead lists in very targeted lists, and then tailoring your email copy around those segmented lists to be highly relevant to leads.

[@andredei8492]

Do you know already when you release GPT4o?

[@emailchaser]

We have already replaced GPT-4 Turbo with GPT-4o in Emailchaser. Our AI rewriting feature (superior version of spintax) is now using GPT-4o. We are updating the front end of our website this week to show this change, but it's already been implemented on the backend.