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Ep 24: Cold emails that actually work with James Milsom from Hunter.io

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Manage episode 493321251 series 2941949
Content provided by Jon McGreevy & Alex Radford, Jon McGreevy, and Alex Radford. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon McGreevy & Alex Radford, Jon McGreevy, and Alex Radford or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Episode Summary:

* Jon and Alex speak with James about cold email outreach.

* James explains Hunter’s analysis of over 11 million emails sent in 2024.

* He shows why 61 % of decision makers still prefer email over other channels.

* He reveals that 95 % of cold emails land in spam.

* They cover why open rates mislead and why reply rates matter more.

* They discuss targeting small lists and deep personalization.

* James shares how new AI tools can scale unique messages at volume.

Key Topics Discussed:

* Hunter’s 2024 cold email data analysis

* Decision makers’ channel preferences

* Spam rates and deliverability issues

* Vanity metrics vs. reply rates

* Ideal campaign size and targeting

* True personalisation vs. mail merge

* Cold outreach as part of a multi-channel strategy

* AI writing assistants for personalized scale

Key Takeaways:

* 61 % of decision makers rank cold email as their top outreach channel

* 95 % of cold emails are classified as spam

* Open rates can be inflated by bots and spam filters

* Reply rate drives real conversations and pipeline

* Smaller, targeted lists (under 50) yield higher reply rates

* Personalisation means relevant research, not just name merges

* Cold outreach should join paid ads, events, and social

* AI tools can help research and craft unique emails at scale

Memorable Quotes (Sound Bites):

* “Cold email was number one.”

* “95 % of cold emails that get sent are spam.”

* “Open rates are a vanity metric.”

* “Less is more.”

* “That’s creepy as f**k.”

* “It’s a conversation, not a command.”

Chapters:

00:00 – Introduction and Guest Welcome

02:47 – Why Cold Email Still Works

05:23 – Spam Rates and Deliverability

07:33 – Vanity Metrics vs. Reply Rates

11:11 – Targeting Small Lists for Higher Replies

14:27 – True Personalization Defined

19:06 – Cold Outreach in a Multi-Channel Mix

26:52 – AI Writing Assistants for Scale

28:28 – Messaging Madness: What Is It and Why It Matters

29:27 – How We Ran the “Super 16” Cold-Email Tournament

35:51 – Key Lessons from Messaging Madness

42:04 – Cold-Email Quiz: Test Your Hunter 2025 Knowledge

Keywords:

cold email, outreach, decision makers, spam rate, reply rate, personalisation, targeting, AI email assistant, marketing strategy, Hunter report


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit saasyasfuck.substack.com
  continue reading

24 episodes

Artwork
iconShare
 
Manage episode 493321251 series 2941949
Content provided by Jon McGreevy & Alex Radford, Jon McGreevy, and Alex Radford. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon McGreevy & Alex Radford, Jon McGreevy, and Alex Radford or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Episode Summary:

* Jon and Alex speak with James about cold email outreach.

* James explains Hunter’s analysis of over 11 million emails sent in 2024.

* He shows why 61 % of decision makers still prefer email over other channels.

* He reveals that 95 % of cold emails land in spam.

* They cover why open rates mislead and why reply rates matter more.

* They discuss targeting small lists and deep personalization.

* James shares how new AI tools can scale unique messages at volume.

Key Topics Discussed:

* Hunter’s 2024 cold email data analysis

* Decision makers’ channel preferences

* Spam rates and deliverability issues

* Vanity metrics vs. reply rates

* Ideal campaign size and targeting

* True personalisation vs. mail merge

* Cold outreach as part of a multi-channel strategy

* AI writing assistants for personalized scale

Key Takeaways:

* 61 % of decision makers rank cold email as their top outreach channel

* 95 % of cold emails are classified as spam

* Open rates can be inflated by bots and spam filters

* Reply rate drives real conversations and pipeline

* Smaller, targeted lists (under 50) yield higher reply rates

* Personalisation means relevant research, not just name merges

* Cold outreach should join paid ads, events, and social

* AI tools can help research and craft unique emails at scale

Memorable Quotes (Sound Bites):

* “Cold email was number one.”

* “95 % of cold emails that get sent are spam.”

* “Open rates are a vanity metric.”

* “Less is more.”

* “That’s creepy as f**k.”

* “It’s a conversation, not a command.”

Chapters:

00:00 – Introduction and Guest Welcome

02:47 – Why Cold Email Still Works

05:23 – Spam Rates and Deliverability

07:33 – Vanity Metrics vs. Reply Rates

11:11 – Targeting Small Lists for Higher Replies

14:27 – True Personalization Defined

19:06 – Cold Outreach in a Multi-Channel Mix

26:52 – AI Writing Assistants for Scale

28:28 – Messaging Madness: What Is It and Why It Matters

29:27 – How We Ran the “Super 16” Cold-Email Tournament

35:51 – Key Lessons from Messaging Madness

42:04 – Cold-Email Quiz: Test Your Hunter 2025 Knowledge

Keywords:

cold email, outreach, decision makers, spam rate, reply rate, personalisation, targeting, AI email assistant, marketing strategy, Hunter report


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit saasyasfuck.substack.com
  continue reading

24 episodes

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