It’s a numbers game.
The more you tweet, the better you will become.
The better you are, the more you will grow.
In the beginning, I would tweet at LEAST 10x a day.
I went from gaining 16 followers in 30 days to 1,366 in just 14 days.
Here’s how:
It’s a numbers game.
The more you tweet, the better you will become.
The better you are, the more you will grow.
In the beginning, I would tweet at LEAST 10x a day.
When I first started out, I made myself a challenge to…
Write 30 threads in 30 days.
Guess what?
60% of my growth came from those 30 threads.
More importantly, I learned how to write them more effectively.
When I first started on Twitter, I knew no one.
I had no network, no accountability, & no feedback.
I started reaching out to other creators, adding value where I could, and writing every day.
- @thatroblennon
- @_syedhuq
- @TheAlexaPowell
- @liammotivado
- @JohnIsBuilding
- @nitisarran
- @UliKuenzel
- and more!
As a 16 yr old, I don’t have much experience.
So, instead I write about me gaining that experience.
This thread is a perfect example.
Achieve something → Share it
Fail → Share lessons
@thedankoe says your tweets should be:
🔸60% Growth
🔸20% Authority
🔸20% Authenticity
Balance education + entertainment + inspiration.
When I first started out, I was posting everything from…
Motivational platitudes to copywriting tips.
Eventually, I doubled down on what worked best.
Experiment —> Look at feedback.
Twitter rewards great thinkers.
People will follow you if they think you add enough value.
You can’t fool anyone by waving your hands or shaking your butt.
🔸Make them smarter
🔸Make them happier
🔸Make them healthier
If you want to grow, compare little things:
🔸Strategies
🔸Frameworks
If you want to feel bad, compare big things:
🔸Follower count
🔸Money made
H/T: @JamesClear
1) Quantity
2) Write threads
3) Make real friends
4) Build in public
5) Diversify content
6) Experiment often
7) Focus on giving value
BONUS: Compare little things
If you’d like to see more threads like this:
Follow me
@jayyanginspires
I post daily threads about:
- Personal growth
- Audience-building
- Online business
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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.
