LinkedIn Ads for B2B That Already Have Signal

We don’t create ads from scratch. We scale what the market has already proven it wants.

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Experiment

Experiment

Technology

Technology

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Experiment

Technology

Overview

Most LinkedIn ads fail because they start too early.

They’re built in isolation, disconnected from trust, context, or real engagement.

We take the opposite approach.

We turn top-performing content from founders, employees, customers, and creators into ads - and put them in front of people who already know you.


How we do it

We don’t brainstorm ad angles.

We observe what’s already working.

That means:

  • identifying content that earns real engagement

  • understanding who interacted and why

  • and amplifying proven narratives to the right audience

Paid follows signal.

Not the other way around.


What we do:

  • Identify top-performing organic content across key profiles.

  • Select narratives that buyers already respond to.

  • Turn organic posts into native LinkedIn ad formats.

  • Build retargeting audiences from profile views and post engagement.

  • Focus spend on warm, high-intent audiences.

  • Continuously refine based on engagement and conversion signals.


Audience

Warm & High-Intent Buyers

Service

LinkedIn Ads

Focus

Retargeting, Conversion

Duration

Ongoing / Quarterly

Challenge

Most B2B LinkedIn ads feel cold because they are.

  • Cold audiences.

  • Cold messages.

  • Cold results.

  • Corporate and Stale.

Buyers don’t respond to ads they don’t recognise or trust.

01
Challenge

Brands were spending on LinkedIn ads without context. Ads weren’t connected to: founder credibility; employee expertise; customer proof; or creator trust. So performance stalled and costs climbed.

01
Challenge

Brands were spending on LinkedIn ads without context. Ads weren’t connected to: founder credibility; employee expertise; customer proof; or creator trust. So performance stalled and costs climbed.

01
Challenge

Brands were spending on LinkedIn ads without context. Ads weren’t connected to: founder credibility; employee expertise; customer proof; or creator trust. So performance stalled and costs climbed.

02
Solution

We rebuilt LinkedIn ads around recognition and relevance. That meant: using familiar voices; promoting content buyers had already seen; and targeting people who had already engaged. Ads stopped interrupting - and started reinforcing.

02
Solution

We rebuilt LinkedIn ads around recognition and relevance. That meant: using familiar voices; promoting content buyers had already seen; and targeting people who had already engaged. Ads stopped interrupting - and started reinforcing.

02
Solution

We rebuilt LinkedIn ads around recognition and relevance. That meant: using familiar voices; promoting content buyers had already seen; and targeting people who had already engaged. Ads stopped interrupting - and started reinforcing.

03
Result

LinkedIn ads became a natural extension of organic presence. Click-through rates improved. Cost per conversion dropped. And paid spend supported pipeline instead of competing with it.

03
Result

LinkedIn ads became a natural extension of organic presence. Click-through rates improved. Cost per conversion dropped. And paid spend supported pipeline instead of competing with it.

03
Result

LinkedIn ads became a natural extension of organic presence. Click-through rates improved. Cost per conversion dropped. And paid spend supported pipeline instead of competing with it.

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Result

  • Paid distribution worked because it respected how buyers behave.

  • Instead of pushing new messages, we reinforced ones buyers already trusted.


Impact

  • Higher efficiency from retargeted audiences.

  • Better performance from content-led ads.

  • Paid spend aligned with organic momentum.