Write something Re-write it 10 times Make 1 thing better each re-write Better = more value in less words that are easier to read Hemingway editor helps with less words & easier to read ChatGPT helps with adding value Examples attached And that's the whole shebang!

This last week @Cam Beaudoin's awesome tip gave me a 4% increase in conversion rates... INSANE This made me realize my role in this community You guys give the ideas, I'll test the ones that are interesting and show data on if they work or not That being said, if you have any tips for LinkedIn that work Post them in this group I will test them, and if it adds 1% or more to the click rate, I'll pay you $100

Sending follow ups are hard, here's an analysis of how Alex Hormozi makes them. Here's the podcast episode & email newsletter I got this info from if you want to learn more. Email: https://lnkd.in/eHpWSBPP Podcast: https://lnkd.in/ehmSXBCQ That's all the beans in the burrito! Charles PS - how I feel when the "idea guy" starts rattling new ideas off: https://lnkd.in/eJhTeTdB

There is a massive hidden feature in pain sight on LinkedIn: When LinkedIn tells you X person also commented on a post - that is a sign of active people that LinkedIn recommends to engage with. These are the most active members on the platform. Comments are king as they show up like posts on people's feed and people comment much more easily than post. You should connect with these people over the "people you may know" who are among the bottom 99% of inactive users most likely. You have a weekly limit for connections so make them count. Only one thing matters long term: Quality>Quantity

I have to give all the credit to @Cam Beaudoin on this one, he gave this tip a few weeks ago and I wanted to test it out. If you generate your leads using LinkedIn Sales Nav, turn on the "Posted On LinkedIn" filter. We didn't even need a full sample size to confirm this is an insanely good improvement. Messages Sent and Response Rates: Group A: 988 messages sent, 10 responses (Response Rate: 1.01%) Group B: 334 messages sent, 19 responses (Response Rate: 5.69%) Why It's Statistically Significant: The statistical test produced a very low p-value (approximately 4.56e-07), indicating that the difference between the response rates is highly unlikely to be due to chance. This shows the gap between the response rates is substantial and meaningful.