LinkedIn network analysis
Your next customers already know you.
You have thousands of connections you haven’t thought about in years. Upload the export, say whether you want customers, partners or investors, and every single row gets read against it, with the reason, and a first line you could actually send.
No account, no card. Nothing connects to your LinkedIn login, and your file is deleted once your report is made. How your data is handled
16 worth contacting out of 416 shown
Owns the revenue stack at a company squarely in your size band; connected twelve years ago and never followed up.
RevOps owns the vendor-onboarding process you replace, and at 200-1000 staff that process is painful enough to have a budget line. Twelve years of goodwill is worth more than a cold email to the same title elsewhere.
Wrong shape. A company this size has an internal ops team and buys software, not advisory days. Pitching the retainer here would spend a twelve-year relationship on the weaker of your two offers.
Example output. Every claim above is derived from job title, employer size and connection date, nothing else.
The problem
Most founders prospect outward while the answer sits behind them.
A network built over a decade of jobs, conferences and launches gets treated as a vanity number. Nobody reads three thousand rows, so nobody ever finds out that the person who runs exactly the process you replace has been one message away since 2015.
A verdict per goal
Describe up to three things you’re pursuing, and they do not have to be the same kind. A person can be a strong lead for your product and completely wrong for your raise, and you get told which.
Something to send
Every match comes with an opening line written from how you actually know them, including the awkward part where you haven’t spoken in nine years.
Read in order
Not a filtered list. Every connection is scored against your brief and the strongest are re-read by a larger model, so the top of the list is a ranking rather than whatever matched a keyword.
What the file does not tell you
“VP Operations” is not enough to go on.
Your export says someone is VP Operations at Halden Freight. The profile you described says logistics firms with 100 to 1000 staff. Nothing in the file says whether Halden Freight has twelve people or twelve thousand, and that single fact decides whether this person is worth a message. The same is true of a fund’s size or an agency’s client base.
Marcus Oyelaran | VP Operations | Halden Freight | 2015Marcus Oyelaran | VP Operations | Halden Freight [~201-1000 staff, Logistics, Germany] | connected 2015Employers identified first
Before any judgement is made, every distinct employer in your file is resolved to a headcount band, an industry and a country. A typical network has a lot of them: one real 1,601-connection export contained 1,411 different employers.
Unknowns stay unknown
On that same file, about a third were identified confidently. The rest came back as not recognised, and those are withheld from the analysis rather than guessed at. A confidently wrong headcount puts your best prospect in the discard pile.
The shortlist gets checked
For your strongest matches only, a web search looks for what changed: a role move, a funding round, a public statement. Findings appear with their sources so you can check them, and anything that cannot be tied to that person at that employer is not reported at all.
Same-name collisions are constant, and reporting one person’s news about another is worse than reporting nothing: you send a message referencing something that never happened to the recipient, and burn a relationship you cannot get back. A report that admits what it does not know is the only kind worth acting on.
How it works
Three things happen, in this order.
The first takes five minutes of your time. The other two take none. The full pipeline, stage by stage.
Ask LinkedIn for your connections file
It’s your data and LinkedIn exports it on request. Nothing is scraped and nothing touches your account.
Settings & PrivacyData privacyGet a copy of your dataConnectionsRequest archiveThe email usually arrives within ten minutes. Full walkthrough →
Say what you are looking for
Customers, partners or investors. One click, and then four short questions phrased for that answer: what you do, who you want to reach, the numbers, and anyone to leave out. One at a time, not a wall of form fields.
Watch it read your network
A minute or two, then the counts: how many customers, partners and investors are in there, with a preview of who they are. Unlock the full report whenever you want, or don’t.
Boundaries
Four things this deliberately isn’t.
What a typical report finds
Most people are actively using about 4% of their network.
Not because the other 96% is worthless, because nobody has ever read it. Three thousand rows is a week of work by hand, and it never reaches the top of anyone’s list.
Pricing
Scan free. Pay only if it found something.
Full network scan
$39 once
- ✓Every match, ranked and written up
- ✓A pursue-or-skip verdict per goal you set
- ✓An opening message for each one
- ✓The full list as a CSV
Questions
The ones everyone asks.
What's actually in the file I upload?
LinkedIn's connections export has six columns: First Name, Last Name, URL, Email Address, Company, Position and Connected On.
The email column is blank for most people, LinkedIn only fills it in where a connection chose to share it. We don't need it. Title, employer and the date you connected are what the analysis runs on.
Does this scrape LinkedIn?
No. Rolomine never connects to your LinkedIn account, never logs in as you, and never fetches a profile page. It reads the connections export that LinkedIn produces for you on request, and nothing else.
We are not in a position to give you a legal reading of LinkedIn's terms, and we would be wary of anyone who offers one. What we can tell you is exactly what the software does, which is the sentence above.
Can it see people's bios?
No, and neither can anything else that isn't breaking LinkedIn's terms. The export contains no bios, and there's no legitimate API that returns a connection's profile.
So the analysis reasons from job title, employer, company size and connection age. Where it does cite something recent, it's from a web search with the source attached, never a guess.
What if my network is small?
Under about 300 connections, the free scan will tell you quickly and you shouldn't pay. There isn't enough there to be worth $39, and we'd rather say so now than refund you later.
What happens to my file afterwards?
It's deleted once your report is delivered. The report itself keeps working, it holds its own copy of the matches, but the underlying address book is gone.
Who it’s for
Written for the way you actually win work.
Guides
Written for the problem underneath this.
Finding people worth contacting is the actual job. These cover how to do it whether or not you ever run a scan.
Find out who you already know.
The scan is free and takes about two minutes. If it turns up nothing worth contacting, you’ve lost two minutes.
Scan my network, free