Ploot

Solution by sector

Spot which companies are about to outsource tech before your competitors do

The companies that need to outsource are shouting about it. We listen for you.

The signal that works best in IT consulting

A company with hard technical vacancies (cloud, data, security, senior devs) or several at once has no internal capacity: it is already paying for the problem through payroll. Ploot puts those companies in front of you while the roles are still open.

All of this rests on two pieces: signal detection and the content your consultants publish. Sngular, a technology consultancy, built it that way. It's told in their customer story. What it costs to set up is on plans.

What the system sees in your sector this week, and the meeting it proposes off the back of it.

Hot, warm, cold: not every signal carries the same weight

Hot

we reach out now
  • Visits to your services, case study or pricing pages
  • Hard technical vacancies, or several at once
  • Mass hiring with the tech team growing
  • Webinar sign-ups or content downloads

Warm

we approach with context
  • A new CTO, CIO or head of IT: they have 90 days to review stack, vendors and costs
  • A funding round or a new country: the tech team grows behind it
  • The decision-maker posts about a technical challenge: AI, technical debt, migration, security

Cold

we nurture
  • Engagement with your content or your ecosystem's
  • Profile visits
  • Attendance at industry events

You don't work the whole list: you prioritise the companies whose need already has a date, and those are the ones that end in a meeting.

Velmar Industrial

Manufacturing · 180 employees · Bilbao

Fit

88

JobsCloud role still unfilled21 d ago
LinkedInCTO new in the role40 d ago
MarketRound closed last month1 mo ago
WebRead your migration case study4 d ago
The card the system builds for each company before anyone is written to: where each signal comes from and how long ago it happened.

How we'd do it with you

01
Your team posts on LinkedIn

Your consultants post about what they know: the technical challenges your ICP is living through. Your consultants post about the technical problems your market is living with: half-finished migrations, technical debt, cloud roles nobody fills. That's what makes a CTO stop and read.

02
We listen to the market

We detect the companies in your IT market with technical vacancies, growing teams and new decision-makers. We detect which companies have the problem open today: hard technical vacancies, teams growing, rounds closed, and new decision-makers with ninety days to show something.

03
We reach out and book

We reach out from your team's profiles, with the signal as context, and book the meeting. We reach out from your team's profile with the signal as context, and the conversation starts where it usually ends: at the actual problem.

Frequently asked questions

From their public signals: hard technical vacancies, several roles at once, tech teams growing fast. Those who can't hire, outsource.

The system starts from 4 activated profiles. What matters isn't your size but whether your market is giving off signals, and IT gives them off constantly.

Hard-to-fill technical vacancies (cloud, data, security, senior profiles) and above all several open at once, which is when internal capacity has run out. On top of that: funding rounds and country launches, because a growing technical team follows; a new CTO, CIO or IT director in post, who has ninety days to review the stack and its suppliers; and the content your team publishes about specific technical problems, which attracts the people living them.

Market signals exist from day one, so outreach starts as soon as your ideal customer profile is set up. What isn't immediate is the audience: your team's content takes two to four weeks to start generating its own signals, which are the ones that convert best. That is why both routes start at the same time rather than one after the other.

Your consultants already talk about technology every day, just in meetings. The system captures that (how you solved a migration, what breaks in a legacy stack, the question every CIO asks) and turns it into posts. Nobody has to become a content creator or talk about trends: what draws a technical decision-maker is a specific problem told by the person who solved it.

Then arriving early matters even more. In long cycles with high ticket sizes the difference isn't made by the volume of contacts, it's made by getting in while the problem is still being defined rather than once there is a tender with three suppliers already inside. Signals are exactly for that: appearing in the conversation before the tender exists.

What's already happening

+450

Meetings booked with Ploot

3 h

Saved every week per active profile

3,000

People use Ploot every week

Figures from accounts already running, not from a demo.

Book a demo, and we'll look at your market's signals live