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LinkedIn profile targeting in Microsoft Ads: the B2B edge on Bing

LinkedIn data inside a search auction is the closest thing paid search has to the Konami code. Microsoft Ads lets you adjust bids by a searcher's company, industry, job function and, since June 2026, seniority. In October 2026, Audience campaigns were reported to gain a way to restrict who sees the ad.

Every B2B search marketer has wished for this at some point: the same keyword, worth three times more when the searcher is a director of IT at a 2,000-person company than when it's a student writing a paper. Google Ads can't tell you who's searching at that level. Microsoft Ads can, because Microsoft owns LinkedIn. Our Bing Ads vs. Google Ads comparison covers whether Microsoft belongs in your plan at all. This post assumes it does and goes deep on the LinkedIn layer: what you can target, where, how the bid only behavior works and how to read the results.

What is LinkedIn profile targeting in Microsoft Ads?

It's a set of audience criteria built from LinkedIn member profiles. Microsoft Learn's help page, last updated July 2026, lists three dimensions: company (for example, Microsoft or Alibaba.com), industry (finance, broadcast media) and job function (sales, accounting, purchasing). Microsoft notes that not every company, industry and job function is available for targeting.

A fourth dimension arrived mid-year. In June 2026, PPC Land reported that Microsoft added job seniority to LinkedIn profile targeting, with 10 levels: CXO, VP, Director, Manager, Senior, Entry, Owner, Partner, Training and Volunteer. It's available in Search and Audience campaigns at campaign or ad group level. PPC Land reported it in 29 markets across the Americas, EMEA and APAC, and its named list didn't include the UK, Germany or France, so check availability for your markets. Microsoft's reporting API now includes a JobSeniorityName column, which confirms the data flows into reports.

The feature isn't new. PPC Land's timeline traces it to a US-only, bid only beta on Bing search ads in October 2018, with a wider rollout in September 2020 that covered more than 100 industries and 80,000 companies.

Which campaign types support LinkedIn profile targeting?

Five, with different rules. Microsoft Learn lists Search, Dynamic Search Ads, Microsoft Shopping, Audience and Performance Max, with Performance Max access limited and marked as coming soon for everyone else. In Performance Max you work through audience signals instead. PPC Land reported that LinkedIn profile targeting isn't available for Microsoft's connected TV campaigns.

Two structural limits from Microsoft's docs: you can't target more than 1,000 companies in a single ad group or campaign, and Microsoft's API documentation says campaign-level and ad group-level profile criteria combine, with the ad group setting winning when both name the same profile. In September 2026 PPC News Feed reported that company lists and job seniority had finished rolling out in the Audience planner, with lists of up to 10,000 companies and the 1,000 per ad group cap unchanged. The July help page still says company lists can't be imported from external files, so expect the docs and the interface to disagree for a while.

What does "bid only" mean for LinkedIn targeting on Search?

It means the LinkedIn criteria change what you pay, not who sees the ad. Microsoft Learn is explicit: LinkedIn profile targeting on Search is bid only, so targeting a company doesn't exclude people who don't work there. Your ad stays eligible for every search that matches your keywords; people who match the profile get your bid adjustment on top. Microsoft's API docs list a range of -90% to +900% for most bid adjustments.

That design is the whole point on Search. Keywords carry intent, and LinkedIn data tells you which of those searchers are worth more. Here's what a bid adjustment looks like in a hypothetical B2B search campaign: share of clicks coming from the job functions you care about, before and after a +40% adjustment.

In this illustrative campaign, IT and engineering profiles go from about 18% of clicks to about 29% after the adjustment, because higher bids win them more auctions and better positions. Everyone else can still see and click the ad. That's the honest framing: a bid adjustment buys you a bigger share of the people you want, at a higher price per click. It doesn't fence anyone out, so your negative keywords and ad copy still do the filtering.

How do you see performance by company, industry or job function?

With the professional demographics report. Microsoft's reporting API describes it as showing how campaigns and ad groups perform with different companies, industries and job functions, and its column list includes CompanyName, IndustryName, JobFunctionName and JobSeniorityName alongside impressions, clicks, spend, conversions and revenue. You can run this report even before you set any adjustments, which is the right order: look first, bid second.

In this hypothetical report, IT converts at 6.2% and education at 0.9%, nearly a 7x spread on the same keywords and ads. That spread is what bid adjustments are for. A simple starting rule: set each adjustment roughly in line with how that segment's conversion rate (or better, qualified lead rate) compares with the campaign average, cap early moves at around +50%, and revisit after another 30 days. Segments with a few dozen clicks will swing wildly, so only adjust where the volume supports a call.

If you run automated bidding, check Microsoft's current documentation on which bid adjustments your strategy honors before you rely on them. Either way, the report is still worth pulling, because it tells you which landing pages and messages need to speak to which buyers.

Should you bid up for C-level searchers?

Not by default. Seniority is the most tempting new lever and the easiest to misuse. Executives sign, but in many B2B categories managers and directors do the searching, the comparing and the form filling. Here's an illustrative breakdown of cost per qualified lead by seniority in a hypothetical search campaign.

In this hypothetical, managers and directors produce qualified leads at $150 to $165, while CXO clicks cost $310 per qualified lead and entry-level clicks $480. A blanket +100% on CXO would have doubled spend on the second-most-expensive segment. The pattern to look for in your own data is which levels research and convert, then bid there. Owner is worth watching separately if you sell to smaller companies, where the owner is also the buyer.

Remember what the data is: what members put on their LinkedIn profiles. Titles inflate, people change jobs without updating, and "Senior" means different things at different companies. Treat seniority as a strong hint, not a verified org chart.

Can you restrict ads to LinkedIn audiences in Audience campaigns?

Now you can. On October 27, 2026, PPC News Feed reported, and PPC Land later detailed, that Microsoft added a "Target and bid" option for LinkedIn profile targeting in Audience campaigns, set in the Demographics tab. With target and bid, people who don't match are removed from the eligible audience; with bid only, the ad stays eligible for everyone. Search, Dynamic Search Ads and Shopping remain bid only. PPC Land also noted open questions: when the option started, whether every account has it, and which markets.

For B2B this changes what Audience campaigns are good for. A native or display placement with no keyword intent is weak prospecting when it can show to anyone. Restricted to, say, finance job functions at a list of 500 target companies, it becomes account-based awareness at network prices. Here's an illustrative before and after.

In this illustrative campaign, cost per qualified lead drops from roughly $420 to about $320 once the audience is limited to matching profiles, while reach shrinks. That trade usually favors B2B, where a smaller, correct audience beats a large, vague one. It can also go the other way: if your list is too narrow, delivery stalls and frequency climbs on the same few thousand people. Start with job function plus a broad company list, then narrow.

How do you set up LinkedIn profile targeting?

1. Pull the report first. Run professional demographics for 60 to 90 days on your existing Microsoft campaigns. No adjustments, no assumptions.
2. Pick one dimension per ad group to start. Job function is usually the cleanest. Stacking company, industry and seniority adjustments at once makes the results unreadable.
3. Set targets where Microsoft lets you: when creating an ad group, in campaign or ad group targets under Settings, or in the Demographics tab, per Microsoft Learn.
4. Build a company list for your target accounts, within the 1,000 per ad group limit. Use it for bid increases on Search and as a restriction in Audience campaigns.
5. Match the page to the person. A +60% bid on IT directors is wasted if the landing page talks to marketers. Our remarketing guide covers matching offers to intent; the same logic applies to role.
6. Judge on qualified leads. Conversion rate by job function is a start; pipeline by job function is the real test. Our PPC KPIs guide covers which numbers to report.

If you're importing campaigns from Google, LinkedIn targeting won't come with them, because Google has no equivalent. Add it after import; our Microsoft Ads import guide covers what else to fix at that stage.

What we don't know yet

• Match coverage. Microsoft doesn't publish what share of searchers it can match to a LinkedIn profile. Your report only shows the matched slice, so treat it as a sample, not the whole audience.
• Target and bid rollout. As of early November 2026 it's reported, not documented in Microsoft Learn, and its start date and market coverage are unclear.
• Seniority markets. Reported market lists exclude several major European markets. If you sell in the UK or Germany, verify in the interface before planning around it.
• Performance Max access. Microsoft still marks it as limited with broader access "coming soon," with no date.
• Small volume. Microsoft's search volume is smaller than Google's, and slicing it by seniority makes segments small fast. Many accounts at $5K to $20K a month on Microsoft will only have enough data for job function adjustments.

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