Ploot

Solution by sector

Reach the people already evaluating software like yours

Whoever is about to buy your software leaves traces before they ever talk to you. We follow them.

The signal that works best in B2B software

Anyone opening a vacancy for the role your software solves is already paying for that problem through payroll. If someone from that company also lands on your pricing page, the purchase is closer than you think. Ploot puts the pieces together and tells you who to contact today.

All of this rests on two pieces: signal detection and the audience your team builds. 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 pricing, demo or case study pages
  • A vacancy for the role your product solves
  • Mass hiring in that area
  • Webinar sign-ups or content downloads

Warm

we approach with context
  • A new head of the area: they have 90 days to show results
  • A funding round or an expansion
  • A dated change that pressures your whole market at once (a regulation, a deadline)
  • Someone comments or posts about the problem you solve

Cold

we nurture
  • Likes on your content
  • Engagement with your competitors or the sector's voices
  • Profile visits

Here the order is set by market interest, not by your list: the pipeline fills by temperature, not by volume.

Nordika

B2B logistics · 24 employees · Madrid

Fit

94

WebTwo visits to your pricing page1 d ago
ProductTrial opened, never used5 d ago
LinkedInStarted following your team8 d ago
MarketComparing two competitors3 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 team posts on LinkedIn about the problem your software solves, in your buyer's vocabulary. Your team posts about the problem your software solves in the words of the person living it: not the product sheet, but what happens before anyone looks for a solution.

02
We listen to the market

We detect who is showing interest: visits, vacancies for the key role, new decision-makers, dated triggers. We detect who's in motion: repeat visits to your pricing page, trials opened and never used, people starting to follow your team, and dated changes.

03
We reach out and book

We reach out with the signal as context and book the meeting with someone already living the problem. The message arrives with the signal inside it and from a real profile, not a brand account. Whoever replies was already in the problem, so the demo starts half done.

Frequently asked questions

We configure your signals during onboarding: which role gives the problem away, what vocabulary your buyer uses, which triggers put pressure on your market. From there, the system listens.

It changes their job: instead of knocking on cold doors, they step into conversations with people who already showed interest. The same team builds more pipeline because it stops burning hours on people who were never going to reply.

The two that best predict a purchase. The first is a vacancy for the role your product solves: whoever opens that position is already paying for the problem through payroll and has budget allocated. The second is behaviour on your site, especially repeat visits to pricing. When both coincide at the same company, the purchase is far closer than it looks from outside.

It usually works better. The narrower the market, the more expensive it is to burn the list with cold sends and the faster it runs out: in a niche of three hundred companies there is no second chance. Signals let you reach out only when there is a reason, which is the only way to work a small market for years without using it up.

No, it gives them raw material. The system doesn't run brand campaigns or replace a product strategy: what it does is turn the team's knowledge into content that generates demand, and collect the signals that demand leaves behind. Marketing still decides the message; what changes is that the message comes from named people and that what it generates doesn't go unworked.

If your product sells itself, signals cover the part that doesn't: large accounts evaluating, teams getting stuck during sign-up, and companies visiting pricing several times without converting. That is where a message with context from someone on the team does what no automated sequence manages.

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