How do I find my competitor's customers on LinkedIn?

Track public posts that name the competitor positively. People recommend tools by name constantly, in posts, comments, and 'what's your stack' threads. Each one identifies a confirmed customer, roughly when they adopted, and often what they like most, which is exactly what you'd want to know before a displacement play.

Is a tool recommendation a signal to sell to the poster or to the audience?

Usually the audience. The poster just bought and is happy, so they're a poor target for competitors, though a great one for complementary products. The commenters asking questions are the in-market buyers: they are researching the category right now, in public, with their names attached.

What does a recommendation post reveal beyond the one tool?

Stack and stage. Someone praising a mid-market CRM is telling you their company size, their go-to-market maturity, and that a stack decision cycle is open. Recommendations also cluster around switches, and a switch means the old tool's contract just ended, which is timing information.

Should competitors ever engage with these posts directly?

Not in the thread. Correcting or countering a happy customer in public reads badly and wins nothing. The move is to quietly work the commenters who showed doubt or asked comparison questions, where a DM lands as helpful rather than defensive.

Can Clearcue track tool recommendations automatically?

Yes. You name the tools and categories you care about, and Clearcue monitors social posts and comments for genuine endorsements, separates them from job posts and ads with AI qualification, and flags both the poster and the in-market commenters.

← All buying signals

Buying Intent

Recommends a Tool

A person publicly praises or recommends a tool — 'we moved to X last quarter and I'm not going back.'

What this signal means

"We switched to Attio three months ago and the team actually uses it." Posts like this are written as gratitude, but they function as disclosure. The poster just told you what their company runs, roughly when they bought it, and that a stack decision was recently open.

Recommendations cluster around switching moments. Nobody posts about software they've quietly used for six years; they post right after a change, while the improvement is still novel. So each of these posts marks a company mid-renovation of its stack, with budget proven and adjacent purchases still ahead.

Why it matters for sales

One post creates three distinct audiences. The poster is a confirmed buyer of software in that category, warm for anything complementary. The vendor being praised has a public champion, worth knowing whether that vendor is you or your competitor. And the comment thread fills with the most undervalued group: people asking "how does it compare to X?" or "does it handle multi-entity?" Those commenters are running evaluations right now, and they have just told you which objection matters to them.

If a competitor's customers are recommending it publicly, that is also your displacement map, one happy account at a time, with adoption dates attached. It works alongside uses a technology, which covers the static version of the same intelligence.

How to act on it

Match the play to the audience. For commenters, answer the question they asked in public, privately and specifically.

A vendor competing in the category might DM a commenter: "Saw you asked in Priya's thread whether it handles EU data residency. Honest answer for their product is partially, and it's the main reason two teams moved to us this year. Happy to show you the difference in ten minutes, and if it doesn't matter for your setup, her recommendation is a good one."

Conceding ground where the competitor is genuinely fine is what makes the rest of the message believable.

Who should track this signal

SaaS vendors (competing category)

Someone praising your competitor is off the table, but read the comments. 'How does it handle X?' and 'we tried it and left' replies are people actively evaluating the category. That thread is a self-assembling prospect list.

36 more signals for saas & software vendors

Complementary tool vendors

A post praising a CRM tells you the poster has budget for go-to-market software and just finished one purchase. Adjacent categories (enrichment, dialers, reporting) get bought in the following quarter, while the stack is still being assembled.

36 more signals for saas & software vendors

Implementation & onboarding consultancies

'We just rolled out NetSuite' posts are written during the honeymoon, before the configuration pain hits. Reach out two to four weeks later, when the poster is living with the defaults and knows what's broken.

19 more signals for consultants & fractional executives

Tool-specific agencies

HubSpot, Webflow, and Shopify agencies should treat every public endorsement of their platform as a lead. The poster has committed to the ecosystem and will spend on making it work harder.

18 more signals for marketing & creative agencies

Sales intelligence & data vendors

A rep publicly recommending an outreach tool is telling you their team runs outbound and buys software reps ask for. Sell the layer their new tool depends on: the data going into it.

7 more signals for sales & data intelligence

Frequently Asked Questions

Uses a Technology

A company runs a specific tool or platform — a fact about its stack, visible in job posts, integrations, and site code.

Company

IT services & MSPs SaaS & software vendors+2

Adopts a New Technology

A company recently switched to or added a technology — the stack changed, and change is when money moves.

Company

SaaS & software vendors Security & compliance+2

Engages with a Competitor

A person likes or comments on your competitor's social posts.

People

Marketing & creative agencies IT services & MSPs+1

Looking for an Agency

A person publicly asks for agency recommendations: 'can anyone recommend a good design agency?'