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paolo trivellato

@paolo_scales · generate leads with linkedin → · joined 05 Mar 2024

founder @ starborn & linkedin wizard

16 727Followers
295Following
5 527Posts total
14.5KViews on collected posts

Postingan terbaru

We generated 5M+ LinkedIn impressions for one client and helped grow his personal account from ~10,000 to 64,000 followers. Over the same 18-month period, his company grew revenue by roughly 400-500%. Here are 4 things we learned about turning LinkedIn content into actual 768 views · 8 likes · 0 reposts · 8 replies Open on X →
Ryan Deiss reveals his content strategy for scaling his $200M+/year portfolio company to Cole Gordon: 1. Cut ad spend in half and double organic production 2. Pick the platform your prospects use the most 3. Start with topics you actually find interesting 4. Rewrite every word h
2:11
2.1K views · 33 likes · 4 reposts · 7 replies Open on X →
@paolo_scales a long podcast that pre-sells the call is doing the job a discovery call used to do 23 views · 0 likes · 0 reposts · 0 replies Open on X →
@paolo_scales Buyer relevance beats vanity engagement every time. Conversation rate is the only metric that matters on those LinkedIn videos. 10 views · 0 likes · 0 reposts · 0 replies Open on X →
@paolo_scales 3 out of how many is the number that makes this repeatable or not. 3 of 40 warm agency owners is a machine you should feed. 3 of 4,000 views is a coincidence with good editing, and you will spend a month building the wrong follow-up. the format works because it pr 30 views · 0 likes · 0 reposts · 0 replies Open on X →
3 agencies paid me $4k+ just after watching this one video. They came into the calls already understanding exactly how we generate clients through LinkedIn. The video is a recording of the full podcast I did with Lara Acosta. (Check the comments to watch it for yourself) 95%
0:33
3.4K views · 58 likes · 3 reposts · 7 replies Open on X →
LinkedIn Algorithm updates you need to know: The LinkedIn feed has changed more in the last year than the previous five Some new, some older, but all of them you need to know... 1. LinkedIn is cracking down on AI slop LinkedIn is getting much better at identifying generic, 3K views · 45 likes · 0 reposts · 13 replies Open on X →
@paolo_scales Volume without measurement is theater. LinkedIn scale only matters if reply and meeting rates hold by segment. 10 views · 0 likes · 0 reposts · 0 replies Open on X →
@paolo_scales Acquisition really is a volume game 67 views · 0 likes · 0 reposts · 0 replies Open on X →
@paolo_scales Spamming six thousand automated DMs just trains every inbox to ignore you by default. 140 views · 1 likes · 0 reposts · 0 replies Open on X →
I promise you you're not taking acquisition as seriously as you should be In the last week I've: > Setup 10 LinkedIn accounts to run automated outreach that will scale to 6k outreach messages monthly > Posting 3x/day on Twitter, 1x/day on LinkedIn and 1x/week on YouTube > 4.8K views · 92 likes · 0 reposts · 18 replies Open on X →

Dibandingkan akun berukuran sama

11 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan140akun ini922median untuk 10K–100K
Jangkauan, %0.84%akun ini3.39%median untuk 10K–100K
Interaksi, %0.71%akun ini1.53%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan1409220.15×
Jangkauan (tayangan ÷ pengikut)0.84%3.39%0.25×
Tingkat interaksi0.71%1.53%0.47×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

4.8K9 Sep
140
67
1010 Sep
3K
3.4K
30
1011 Sep
23
2.1K
76812 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.27%9 Sep
0.71%
0.00%
0.00%10 Sep
1.90%
1.98%
0.00%
0.00%11 Sep
0.00%
2.06%
2.08%12 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes45.2%237 in total
Reposts1.3%7 in total
Replies10.1%53 in total
Bookmarks43.3%227 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Akun serupa