solutions

keywords

Catch who is talking about the topic on LinkedIn

Track the posts that mention your market keywords, then keep only the profiles that match your ICP.

the problem

The topic is discussed daily, with no one listening

Potential buyers constantly comment on and like posts about the problem your offer solves. These interactions are public, but tracking by hand every post that contains the right keywords is impossible at scale.

how it works

01

Define your market keywords

The terms that reveal someone thinking about the topic: the problem, the category, competing solutions.

02

Track the posts that contain them

The engine continuously surfaces posts mentioning those keywords, then collects likes and comments. Each reaction is a public sign of interest.

03

Qualify against your ICP

Every profile is enriched then compared to the ICP defined in the workspace. The pool keeps only what fits, scored by engagement frequency.

under the hood

  1. 01

    Pre-filter

    Each commenter's headline is checked against the blacklist (competitors, in-house, bad fit). Matches are dropped before any enrichment, so before they cost anything.

  2. 02

    Enrichment

    The profile is completed: current role, company, seniority, tenure.

  3. 03

    Deduplication

    A profile seen across several posts forms a single lead.

  4. 04

    ICP qualification

    The profile is compared to the ICP, classed against a persona from the list, and filtered on allowed countries.

  5. 05

    Scoring

    A score out of 100 combines ICP fit and engagement (value per like or comment, repeat-engagement bonus). Below the threshold, the lead is discarded.

the lead as it arrives

Each lead lands in the board with all the context to act on it right away.

92décideurlive
Marie S.
CMO · Nuage
a réagi à « 5 angles de prospection » · 6 likes · 2 comm.
DM · brouillon
Score / 100
ICP fit and engagement combined, with the breakdown on hover.
Persona
Classed against one of the workspace personas.
Engagement context
The post that contained the keyword and what the profile commented.
Trigger keyword
The tracked keyword that surfaced the post.

From keyword to lead

A profile comments on several posts containing the tracked keywords. exolead enriches it, compares it to the ICP, classes it against a persona and scores it. If it clears the threshold, it shows at the top of the board with the post and keyword as context. The rep opens the conversation on an already-warm topic.

what you get

The widest coverage

No need to know which accounts to follow: any post about the topic enters the radar, whoever the author is.

A tailored filter

The ICP is defined and adjusted by you. Lurkers and off-target profiles are discarded before they reach the board.

A continuous flow

Leads arrive as engagement happens, deduplicated and scored, not in a frozen export.

configurable

Tracked keywords

Define the keywords to track and cap ingestion per search.

ICP and scoring

Tune the ICP rules, the ICP/engagement weighting and the value of each interaction.

Geographic filter

Restrict to allowed countries right at qualification.

Blacklist

Exclude headlines or companies known to be off-target.

frequently asked questions

How do I pick the right keywords?
Guided setup suggests some from the website or a description of the business. The list stays editable at any time.
Do I need to connect my LinkedIn account?
No. Detection runs server-side, with no extension to install and no access to the team's account.
How are off-target profiles discarded?
Each profile is enriched (role, company, seniority) then compared to the ICP defined in the workspace.
Can I limit to certain countries?
Yes. A geographic gate discards profiles outside the allowed countries at qualification.

Watch leads surface in your board

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