Interest-based targeting.
"Marketing Operations Manager" matches every recruiter, vendor, and tangentially-related profile on the platform. The audience is huge. The relevance is broken.
Inbound · LinkedIn Paid Social
The only channel where you can reach the buying group before they search.
LinkedIn is the awareness layer of the B2B funnel — and the only platform where firmographic precision works at scale. But most LinkedIn campaigns fail the same way: interest-based audiences, broad job titles, no ICP signal flowing back to the bid algorithm. The result is reach without relevance.
We run LinkedIn differently. Audiences built from your CRM. Bid algorithm trained on your closed-won data. Engagement scored at the persona level. The buyer group sees you before they search — and the platform learns who actually buys.
−20%
cost per MQL · 1st-party data activation
A few of the 200+ B2B technology companies we've worked with
Why LinkedIn breaks
Most LinkedIn campaigns fail the same three ways.
Typical setup
NO SIGNAL-
Audience
Job title: "Marketing Operations Manager" + 12 interests
-
Audience size
4,200,000
-
Optimization goal
Lead-gen form completions
-
Conversion source
Form-fills only · no CRM data
-
Suppression
None
Result: recruiters and vendors fill the audience. The algorithm learns to find form-fillers, not buyers.
Our setup
ICP-DRIVEN-
Audience
CRM-matched ICP list × seniority × function × ICP score
-
Audience size
38,400 · scored
-
Optimization goal
SQL · weighted by closed-won value
-
Conversion source
Offline conversions via CAPI · CRM-driven
-
Suppression
Customers · competitors · churned · recruiters
Result: the algorithm learns from your closed-won data. The buyer group sees you before they search.
The three mistakes
The ad platform isn't the problem. The setup is. Every B2B marketing team has tried LinkedIn. Most have walked away frustrated because of three mistakes that compound on each other:
Form-fill optimization.
When the bid algorithm optimizes for lead-gen form completions, it learns to find people who fill out forms. That's not the same as people who buy. Lead volume goes up. Pipeline doesn't move.
No feedback loop.
The deal stages live in Salesforce or HubSpot. The LinkedIn algorithm never sees them. It's optimizing blind, against signals that don't reflect revenue.
Pipeline-driven LinkedIn fixes all three at once.
Methodology
Inbound Pipeline Growth.
Awareness to conversion. Every stage mapped to persona. The motion runs in two parts: first we build the right audience, then we run it through a full-funnel campaign structure.
01
audience
25,000+ job titles. One precision-built ICP audience.
Most LinkedIn campaigns start with a job title search. We start with your ICP definition — titles, seniority, company size, industry, geography — and run it through our proprietary LinkedIn Segmentation Agent.
The agent uses LinkedIn's entire firmographic database as context. Every title and role combination is scored against your ICP, weighted by fit, and ranked. The output is not a broad filter. It's the actual buying population — hyper-scored, sized, and ready to activate.
Input
ICP Definition
Titles, seniority, company size, industry, geography. Your ideal buyer profile defined as precisely as possible before the agent runs.
Process
LinkedIn Segmentation Agent
Our proprietary AI agent scores every title and role combination in LinkedIn's firmographic database against your ICP.
Output
Precision Audience & Sizing
A hyper-scored LinkedIn audience — not a job-title filter, but the actual buying population for your ICP, sized and ready to activate.
LinkedIn AI Prospecting Agent
25k+
job titles scored across the LinkedIn AI Prospecting Agent on our engagements.
SnapLogic outcome
−20%
cost per MQL via the AI Prospecting Agent + 1st-party data activation.
02
full-funnel
Three stages. Each mapped to persona intent.
Once the audience is built, campaigns run across three stages — each with a distinct objective, content type, and KPI. The funnel moves buyers from first awareness to active hand-raise, with persona-level targeting maintained throughout.
TOF · Generate
Persona Awareness
Persona-targeted content reaches exact titles, seniorities, and companies before they search. Buying group recognition at scale, continuously. Keeps you visible to every buyer in the ICP.
KPI
ICP reach, frequency, and engagement by persona.
MOF · Educate
Persona Engagement
Problem/solution gated content mapped to each persona's pain points. Moves ICP buyers from awareness to active consideration. Persona-level segmentation in engaged companies.
KPI
Content ICP leads, CPL by persona.
BOF · Convert
Hand-raisers
Demo requests, trials, and contact forms targeting in-market handraisers. ICP-only bottom-of-funnel targeting. Net new pipeline-contributing leads with full campaign attribution.
KPI
MQL rate, pipeline contribution, cost per opportunity.
Proof
What pipeline-driven LinkedIn produces.
−20%
cost per MQL
78%
of opps showed LinkedIn influence
LinkedIn AI Prospecting Agent + 1st-party data activation. Audience built from CRM-defined ICP signals.
See the work
4×
opportunities at 50% of previous budget
+73%
conversions matched vs SFDC native
LinkedIn awareness layer + Paid Search harvest. Person-level engagement scoring.
See the work
+1,043%
search impression share
+900%
MQLs in Q1
LinkedIn awareness + Paid Search restructure. Full-funnel paid layer rebuilt around qualified pipeline.
See the workWhat makes it work
The unlock: LinkedIn knowing who buys.
Everything above only works if the bid algorithm sees deal outcomes. That's the work the Pipeline Intelligence team does — building the data layer that pipes Salesforce, HubSpot, or Marketo deal-stage signals back to LinkedIn through the Conversions API. The platform stops optimizing for form-fillers. Starts optimizing for buyers.
CRM ↔ LinkedIn · offline conversions
Customer voice
Our clients speak for themselves.
4.9 / 5
"They built a paid acquisition program that became one of marketing's top three sources of pipeline generation for our business."
Grant Ho
CMO, IRONSCALES · LP, Stage 2 Capital Catalyst
G2 G2 verified review · January 2025
"They built our campaign structure across LinkedIn and Google, set up attribution that tracked real conversions rather than just clicks, and helped us sharpen how we communicated value to different audiences. Lead volume went up and we had data we could actually use to decide where to put budget next."
Verified G2 Reviewer
IT/Cybersecurity · Small-Business
G2 G2 verified review · April 2026
Who this fits
Who LinkedIn Paid Social fits.
The honest version. Not every B2B company is ready for what's described above. Three filters help.
Best fit
- B2B SaaS or B2B technology, $10M–$200M ARR
- Defined ICP and a CRM with at least six months of clean opportunity data
- Sales cycle long enough that awareness compounds (typically 30+ days)
- Buying committee of three or more people per deal
Not the right fit yet
- Pre-product-market-fit — the ICP isn't stable enough to build audiences against
- Self-serve / PLG with no sales motion — LinkedIn awareness compounds into pipeline that needs sales to close
- CRM data quality below baseline — the feedback loop won't have signal to learn from
If you're in this column, the Pipeline Assessment will flag what to fix first.
FAQ
Questions B2B marketing leaders ask before signing.
How is this different from a generic LinkedIn ads agency?
Most LinkedIn agencies optimize the campaign. We optimize the system: the audience source, the bid algorithm, the offline conversion loop, the sales handoff. The campaign is the visible part. The data layer behind it is where the difference lives.
What's the minimum LinkedIn budget you work with?
LinkedIn is a high-CPM platform. Below $15,000/month in media spend, the data takes too long to learn. We typically engage when monthly LinkedIn budget is $15,000 or above, with a recommendation to add Paid Search alongside for harvest velocity.
How long until we see pipeline impact?
The data layer takes 4–6 weeks to deploy. Algorithm learning takes another 4–8 weeks. Most engagements show pipeline contribution by day 90 — that's why our pilot model is 90 days, fixed-fee.
Do you work with LinkedIn's AI Prospecting Agent specifically?
Yes. As LinkedIn Ads Certified with the Breakthrough Award 2025, we run the AI Prospecting Agent across all eligible engagements. It's the strongest audience-discovery tool LinkedIn has shipped.
What if our CRM is HubSpot, not Salesforce?
Both work. The Pipeline Intelligence layer integrates with HubSpot, Salesforce, and Marketo. The offline conversion loop is the same regardless.
Can you run LinkedIn without offline conversion tracking?
We can. We don't recommend it. Without offline conversion data, the bid algorithm optimizes for form-fills, not pipeline. The campaign performance metrics will look better. The pipeline contribution will be lower.
Do you write the LinkedIn ad creative?
Yes — copy and creative direction are part of the engagement. We work with your design team or our in-house design partners depending on volume and brand guidelines.
How we engage
Assess. Pilot. Grow.
Day 1
FREE
Pipeline Assessment
ICP audience snapshot. LinkedIn audience analysis. Pipeline signal check. Five days. Thirty-minute debrief.
Day 90
PILOT
LinkedIn Pilot Sprint
Fixed fee. Fixed scope. Audience built, AI Prospecting Agent activated, offline conversion loop live. Pipeline target agreed in writing.
Day 90+
ONGOING
Always-On LinkedIn
Continuous optimization. Quarterly creative refresh. 30-day notice from day one.
Commercial guarantee
No 12-month lock-in. No surprise scope fees. Renewal earned quarterly.
30-day notice from day one
Cancel any time. The contract doesn't trap you.
Fixed-fee pilots, no scope creep
What you signed for is what you pay. Always.
Renewal earned every quarter
Pipeline targets reviewed at QBR. The work earns the next quarter.
One last thing
See whether your LinkedIn audience is built right. In five days.
The Pipeline Assessment includes an ICP audience snapshot — an AI-generated, scored LinkedIn audience analysis showing which segments are warm, which are wasted, and which are missing.
Five business days. No commitment.