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How to destroy your competition with Cold Email
Want numbers like this?
I am going to show you exactly how to GUARANTEE your cold emails will convert.
// THREAD //
First, I am going to show you the structure of a killer cold email.
---
{{Quick Question about Company_Name}} <-- Subject line
Hey {{Name}}, [[first line}} <-- individual personalization is key
We just helped ___, a business like yours, do x in y days <-- Case study
I'm 100% certain we can do something similar for you.
Do you have time for a call this week? <-- CTA
--------
Let's break this down.
Our main goal is to not sound automated. (even though it was in a way)
How do we do that?
Highly Personalized First Lines.
We have their:
- Company Name
- First Name
- LinkedIn Profile
I use https://t.co/cotgiyqqLE to scrape this. (not aff)
The better the first line, the better the cold email will convert.
We need 10/10 first lines.
A good offer + a bad first line = 60% open & 8% reply rate
A good offer + a 10/10 first line = 80% open & 20% reply rate
Run the numbers.
Want numbers like this?
I am going to show you exactly how to GUARANTEE your cold emails will convert.
// THREAD //
First, I am going to show you the structure of a killer cold email.
---
{{Quick Question about Company_Name}} <-- Subject line
Hey {{Name}}, [[first line}} <-- individual personalization is key
We just helped ___, a business like yours, do x in y days <-- Case study
I'm 100% certain we can do something similar for you.
Do you have time for a call this week? <-- CTA
--------
Let's break this down.
Our main goal is to not sound automated. (even though it was in a way)
How do we do that?
Highly Personalized First Lines.
We have their:
- Company Name
- First Name
- LinkedIn Profile
I use https://t.co/cotgiyqqLE to scrape this. (not aff)
The better the first line, the better the cold email will convert.
We need 10/10 first lines.
A good offer + a bad first line = 60% open & 8% reply rate
A good offer + a 10/10 first line = 80% open & 20% reply rate
Run the numbers.
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.