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
Posts recentes
Procurando novos posts…
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
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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
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2:11
@paolo_scales a long podcast that pre-sells the call is doing the job a discovery call used to do
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@paolo_scales Buyer relevance beats vanity engagement every time. Conversation rate is the only metric that matters on those LinkedIn videos.
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@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
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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%
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0:33
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,
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@paolo_scales Volume without measurement is theater. LinkedIn scale only matters if reply and meeting rates hold by segment.
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@paolo_scales Acquisition really is a volume game
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@paolo_scales Spamming six thousand automated DMs just trains every inbox to ignore you by default.
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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
>
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Em comparação com contas do mesmo porte
11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. abaixo dos pares tanto em alcance quanto em engajamento.
Mediana de visualizações140esta conta918mediana para 10K–100K
Alcance, %0.84%esta conta3.39%mediana para 10K–100K
Engajamento, %0.71%esta conta1.53%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 140 | 918 | 0.15× |
| Alcance (visualizações ÷ seguidores) | 0.84% | 3.39% | 0.25× |
| Taxa de engajamento | 0.71% | 1.53% | 0.47× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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.
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