01
Reads every profile before it knocks.
The note is built from what is actually on the person’s profile.
Case study · 01 · LinkedIn Manager
40% of invites accepted, one personal note at a time.
It reads the profile before it says hello. Your network grows while you do something else.
25
Live personal brand campaigns
40%
Invites accepted
4
Parts in every note
The problem
People accept requests that read like a person wrote them.
Most LinkedIn automation sends the same line to everyone, and it shows. The LinkedIn Manager works the other way round.
It works through a targeted list of 2nd and 3rd-degree contacts, reads each profile, and writes a note for that one person. Every request is logged as queued, sent or failed, so nothing goes out that nobody can account for.
How it works
How it works.
02
Only asks people one step away.
2nd and 3rd-degree contacts, worked through from a targeted list.
03
Writes each note for one person.
Four parts every time: personalise, introduce, research, curiosity.
04
Counts every request, sent or not.
Queued, sent and failed are all logged, so the campaign can be read at a glance.
The detail
What it looks like
“Hi {first name}, I’m running a small venture in London, Extol Affiliates, doing everything from lead generation to operations myself. I’d love to connect and hear how you’ve scaled your work.”
Note structure taken from the live campaign. Personal details replaced with {placeholders}.
In their words
“I’d tried LinkedIn outreach before and hated it. This one actually reads the profile first, so the replies feel like conversations, not pitches.”
3D Images, on the LinkedIn Manager
“The requests go out while we’re busy doing the work. We’ve had more real conversations this month than in the six before it.”
Bloggerly, on the LinkedIn Manager
What it runs on
LinkedHelper, in the client’s own accounts.
Related services
Next step
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