Ploot

Feature

Reach out only to people already showing interest

Every interaction is someone raising their hand. Ploot detects them on LinkedIn, filters them against your ideal customer and tells you who to write to today.

The problem

The signals go past everyone

Your market gives off signals every day. Someone reacts to a partner's post. A company in your sector opens three vacancies for exactly the role your service solves. A director visits your pricing page on a Tuesday afternoon.

Nobody sees them. Nobody sorts them. And nobody acts while they're still warm.

Signals don't come from nowhere: half of them are generated by your team's content, which is what audience building is about. The other half your market gives off on its own. What we never do is cold outreach, and what we detect feeds the personalised messages.

Each row is a signal picked up today: who produced it, what kind it is and how long ago it happened.

How it works

01
Detect

The system captures every signal in real time, on LinkedIn and beyond it.

02
Filter

Each signal is matched against your ideal customer: role, sector, company size. The noise stays out.

03
Prioritise

Sorted by temperature, hot to cold, so you know where to start.

04
Deliver

The lead arrives with full context: who they are, what they did and when. Ready to contact at the right moment.

Where this piece sits in the system

The result

You stop asking how many to write to and start knowing who to write to today.

Each row is one person and one specific signal, with its fit score beside it. You work from the top down.

Frequently asked questions

Any behaviour that shows interest or need: LinkedIn engagement, visits to your site, open vacancies for the role your service solves, growing teams and new decision-makers. Every sector has its strongest signals: we show you yours in the demo, on your real market.

Both. Your team's content generates its own signals, and we also monitor your market's public ones: vacancies, growth and changes of decision-maker.

Yes. Nothing goes out without passing through your hands: you see the signal, the context and the proposed message before it is sent.

From day one there are signals already out there in your market that don't depend on you publishing anything: open vacancies, growing teams, new decision-makers in post and visits to your site. Those are detected as soon as your ideal customer profile is set up. The ones your team's content generates take as long as that content takes to start moving, between two and four weeks. That is why both routes start together: the market one gives volume from the start and the content one gradually replaces it with warmer signals.

They are discarded and never reach your inbox. Every signal is cross-checked against your ICP (sector, size, job title, country) before it is scored, so an interaction from a student or a competitor never becomes a task for your team. That filter is half the work: what makes the system useful isn't detecting a lot, it's throwing almost all of it away.

By temperature. A visit to your pricing page weighs more than a like, and a vacancy opened three weeks ago weighs more than one from yesterday, because their internal process has already failed. Each signal carries a score combining how well it fits your ideal customer and how close that company is to having to decide. Your team works top to bottom and doesn't have to choose on instinct.

No. Web traffic is one more source, not the foundation. Most of the volume comes from LinkedIn (interactions with your team's content, visits to their profiles, vacancies and job changes in your market) and that works the same whether your site gets a hundred visits a month or ten thousand. If you do have traffic, it adds on top.