Matched audiences are LinkedIn ad audiences built from your own data rather than LinkedIn's targeting filters, including uploaded company and contact lists, website visitors, and people who engaged with your ads.
Matched audiences is the LinkedIn Ads feature set that lets advertisers target people using first-party data. Instead of describing an audience with firmographic filters, you supply the list, and LinkedIn matches it against its member and company graph.
This is the difference between saying "VPs of Engineering at 200 to 500 person software companies in the US" and saying "these 4,000 specific companies our sales team wants". Both are useful. They do different jobs.
[table]
Audience type | Built from | Minimum matched size | Typical match rate
Company list | Uploaded CSV of company names and domains | 300 | 60% to 80%
Contact list | Uploaded CSV of business email addresses | 300 | 30% to 50%
Website retargeting | Insight Tag pixel on your site | 300 | Depends on traffic
Video ad retargeting | People who watched 25% or more of a video ad | 300 | n/a
Lead gen form retargeting | People who opened or submitted a form | 300 | n/a
Document ad retargeting | People who read a set percentage of a document | 300 | n/a
Company page engagement | People who interacted with your LinkedIn page | 300 | n/a
[/table]
The 300-member floor is enforced after matching, not before upload. A 500-row contact list at a 40% match rate produces 200 matched members and will not run.
Company lists are the highest-value upload for most B2B SaaS accounts. Domains match far more reliably than emails because LinkedIn resolves them against company pages rather than individual accounts. Upload the target account list from sales, then layer job function and seniority filters on top. That combination gives you the exact buying committee at the exact companies your AEs care about.
Contact lists match worse because personal email addresses on LinkedIn profiles rarely equal work email addresses in your CRM. Treat a 40% match rate as normal, not as a data quality failure.
Website retargeting requires the Insight Tag installed and needs traffic volume to be useful. Segment by page rather than running one site-wide audience. Pricing page visitors and blog readers are not the same audience and should not receive the same ad.
Engagement retargeting across video, lead gen forms, document ads and page interactions is the most underused set. It captures intent expressed inside LinkedIn itself, which means no pixel, no cookie loss, and no dependency on the buyer ever reaching your site.
They fix the gap between what LinkedIn's filters can describe and what your sales team actually sells to.
Firmographic targeting is precise on attributes: company size, industry, seniority, function, geography. It is blind to fit. It cannot tell you that a 300-person logistics software company is a perfect ICP match while an identically-sized adtech company is not, because that distinction lives in your closed-won data, not in LinkedIn's graph.
Uploading the account list moves that knowledge into the platform. The campaign then runs against companies your team has already qualified, with LinkedIn handling only the job of finding the right people inside them.
The second thing they solve is sequencing. Cookie-free retargeting on document reads and video completions lets you build a real multi-stage program inside one platform: cold firmographic audience, then engagers, then a direct offer to people who consumed two or more assets.
Two failure modes cover most cases.
The list is uploaded and never refreshed. A target account list exported in January is materially wrong by June. Companies get acquired, the ICP definition tightens, sales priorities shift. A stale list quietly spends budget on accounts nobody is pursuing any more. Refresh quarterly at minimum.
Everything runs as one audience. A single retargeting audience mixing pricing page visitors, blog readers and old form fills gets one generic ad and produces nothing useful. The value of matched audiences is granularity. Collapsing them into one pool discards the only advantage they have over standard targeting.
Start with the sales team's target account list, not with LinkedIn's filters.
The best-performing structure in most B2B SaaS accounts is a company list upload of qualified target accounts, filtered by the two or three job functions that sit on the buying committee, running a demand creation asset. Then a second campaign retargeting everyone who engaged with that asset, carrying a direct offer.
That structure works because it aligns paid media with the accounts sales is already working, which turns the channel from a lead source into pipeline support. It also gives you a clean read on whether paid is influencing the accounts that matter, rather than producing volume from companies nobody will ever call.
Firmographic filters still have a job. They are how you find accounts the sales team has not identified yet. But they are the expansion play, not the starting point.
300 matched members. The threshold applies after LinkedIn matches your upload against its member graph, not to the number of rows you upload. A 500-contact list matching at 40% yields 200 members and will not serve, so upload well above the floor.
Company lists typically match at 60% to 80% because domains resolve cleanly against LinkedIn company pages. Contact lists typically match at 30% to 50%, since work email addresses in your CRM often differ from the addresses on personal LinkedIn profiles. Both ranges are normal.
Yes, and you generally should. Upload the company list as the audience, then apply job function, seniority or title filters on top. This reaches the specific buying committee members inside accounts your sales team has already qualified.
Only for website retargeting. Company lists, contact lists and all in-platform engagement audiences, including document reads, video views, form opens and page interactions, work without the tag. Engagement audiences are also unaffected by browser cookie restrictions.
Quarterly at minimum, and immediately after any change to the ICP definition or sales territory. Lists decay through acquisitions, closed accounts and shifting priorities, and a stale list keeps spending budget on companies nobody is pursuing.
Related: Firmographics · LinkedIn Document Ads · Buying Committee
If your LinkedIn campaigns are running on filters rather than on the account list your AEs actually work, that is usually the first thing worth changing.
ScalixAI is a performance-driven Google Ads agency specializing in helping high-growth, AI-first companies scale with predictable, profitable customer acquisition. Founded by an ex-Googler with 9 years of insider advertising experience, we manage the entire Google Ads lifecycle—from campaign strategy and account setup to conversion tracking, analytics, and ongoing optimization. Our data-centric, AI-powered approach ensures you know exactly which campaigns are working, why they’re working, and what to do next to outpace your competitors.ScalixAI is a performance-driven Google Ads agency specializing in helping high-growth, AI-first companies scale with predictable, profitable customer acquisition. Founded by an ex-Googler with 9 years of insider advertising experience, we manage the entire Google Ads lifecycle—from campaign strategy and account setup to conversion tracking, analytics, and ongoing optimization.
Most clients see performance stabilize by month three. Google Ads isn’t a slot machine—it takes time to compound.
No. We work month-to-month. All we ask is that you give us three months to prove the results.
While Google Ads is our entry point, we also support LinkedIn Ads, Reddit, and X campaigns when needed.
The CRO audit covers your landing pages, CTAs, forms, and overall user flow. We’ll flag what’s holding back conversions and recommend fixes. If changes require design or dev resources, we’ll hand over clear action steps for your team, so you know exactly what to adjust.
As an ex-Googler, I know which recommendations are useful, and which are just there to hit Google’s internal targets. We’ll filter their advice for you, implementing only what actually helps us hit revenue goals.
Weekly reports show spend, conversions, CPL/CPA, and how we’re tracking against projections. “Good” means campaigns are meeting efficiency targets. “Scalable” means we can push budget and expect the same or better efficiency without breaking ROI.