LinkedIn Ads Targeting: Every Option Explained for B2B

LinkedIn Ads targeting is the set of controls in Campaign Manager that decides which LinkedIn members see your ads, based on where they are, who they work for, what they do and how they have interacted with your brand. It draws on the profile information members add themselves, which suits B2B advertisers trying to reach buying committees. Targeting is the part of LinkedIn Ads management for B2B marketing teams with the most influence on cost per qualified lead, so the sections below set out every current option and how each behaves in practice.

LinkedIn’s help documentation now calls the level where targeting is set an ad set, which sits inside a campaign. You can build your own audience from the full list of attributes or use Auto-Targeting, where LinkedIn assembles the audience for you and the options below assume you are building your own.

Every LinkedIn Targeting Option at a Glance

LinkedIn groups its targeting into location, profile language, audience attributes and custom audiences built from your own data. The targeting options listed in LinkedIn’s help centre break the attributes into further categories, summarised in the table below.

Effective B2B audiences usually combine two or three of these categories. The source of the data behind each attribute determines how far you can trust it, so the sections that follow explain where each one comes from.

Location and Profile Language

Location is the only targeting setting LinkedIn requires on every ad set and it can use a member’s permanent location, their recent location or either. Recent location uses the member’s IP address, which helps if you want to reach delegates at a trade show rather than residents.

For most UK B2B campaigns, permanent location in the United Kingdom or specific regions is the sensible default. Selecting English as the profile language targets every member in that location regardless of their profile language, whereas any other language limits delivery to members whose profile matches it.

Job Title, Job Function and Seniority

Job experience targeting reaches people by the role they hold and it is where most B2B audiences start. Job titles come mainly from what members enter on their profile and LinkedIn maps each title to a job function and seniority level using a fixed taxonomy.

Job titles are precise but inconsistent between organisations. An Operations Manager can be anyone from an office coordinator to the person responsible for an entire supply chain, so targeting by title alone tends to miss people with unusual titles or pick up people outside your buying group.

Function and seniority are more consistent. LinkedIn’s own audience targeting guidance recommends pairing job functions with seniorities to reach decision makers with specific expertise. Priority Pixels weighs this choice account by account, as a niche job title audience is sometimes worth chasing in place of a broad seniority filter.

Skills and years of experience complete this category. Member skills combine skills listed on the profile with skills LinkedIn derives from job description, employer and education, so they reach relevant expertise whatever the title. Years of experience is calculated from position dates, a dependable way to filter out junior staff where seniority is too blunt.

Company Targeting and Account Lists

Company targeting reaches members by the organisation they work for, using LinkedIn Page data and members’ own employment history. Company size comes mainly from what the Page admin enters and industry from the primary industry the company states, so both are only as accurate as the Page behind them.

For account based marketing, company lists are the stronger tool. You can upload company and contact lists to Campaign Manager as Matched Audiences, then refine them with attributes such as job function or seniority so the ads reach the buying group inside each named account rather than everyone on the payroll. Priority Pixels builds these audience overlays with Company Match and Contact Targeting as part of its LinkedIn Ads delivery, reaching roles such as procurement managers, commercial directors and specifiers at named target accounts.

Several of the less familiar company attributes are worth knowing by name. The definitions below follow LinkedIn’s own descriptions.

Company Connections

The first degree connections of employees at companies you select, available for larger companies only.

Company Growth Rate

Companies grouped by year on year growth, estimated from factors such as employee growth.

Company Followers

Followers of your own LinkedIn Page, which requires your ad account to be associated with that Page.

Regions Served

Members whose employer has a business presence in a region, even when the member is based somewhere else.

Company followers deserve a deliberate decision on every ad set. By default an ad set reaches followers and non-followers alike, so a prospecting campaign may need followers excluded.

Demographics, Education, Interests and Traits

The remaining audience attributes are useful in particular situations but rarely carry a B2B campaign alone. Age and gender are estimated or inferred from profile information and LinkedIn’s policies prohibit discriminatory targeting, so they have little place in business campaigns. Education fields are optional on a profile and shrink audiences quickly, but fields of study can stand in for expertise in professions where qualifications matter.

Member interests are inferred from what people read and do on LinkedIn and suit awareness objectives better than lead generation. Member groups are no longer available as a targeting attribute in the European Economic Area or Switzerland and both work well layered over function or seniority.

Matched Audiences and Retargeting

Matched Audiences let you target people who already know your brand, using data from your website, your ads and your own lists. LinkedIn’s guide to retargeting with Matched Audiences lists website visitors, ad engagement, video viewers at 25%, 50%, 75% or 97% completion, Lead Gen Form opens, Company Page visitors and event responses as sources, with lookback windows of between 30 and 365 days for ad engagement.

Website retargeting depends on the LinkedIn Insight Tag and is often the most valuable audience a B2B account has. Layering seniority or company size over a website audience filters out students, job seekers and junior staff who visit for other reasons. As a tracking tag, the Insight Tag falls under the ICO’s rules on cookies and similar technologies, which require consent for anything not strictly necessary.

Contact lists need care under UK data protection law. The ICO’s guidance on planning direct marketing asks organisations to be upfront where people are unlikely to expect their data to reach a social platform and cites Which? research in which 79% of those questioned were unaware that social media platforms match profiles to customer lists uploaded by organisations. Check that your privacy notice and lawful basis cover list uploads and see our guide to LinkedIn retargeting for B2B prospects for how these audiences are sequenced.

Predictive Audiences, Audience Expansion and Auto-Targeting

LinkedIn offers three ways to let its systems find people beyond the audience you define. Lookalike audiences are no longer one of them, as LinkedIn discontinued lookalike audiences on 29 February 2024, leaving existing ones as static audiences that no longer refresh.

Predictive audiences took their place. A predictive audience starts from a single source type, such as Lead Gen Form submissions, conversions, a retargeting audience or a contact or company list of between 300 and 300,000 rows and LinkedIn’s AI builds an audience of people predicted to act in a similar way. It refreshes daily and can take up to five days to reach full size, so build it well before launch.

Audience expansion is a separate setting that shows ads to members with attributes similar to the ones you selected. LinkedIn’s help page on using audience expansion explains that it is enabled automatically on ad sets where it is available and that reporting then combines your target audience with the expansion audience. For a tightly defined account based campaign that can dilute both delivery and data.

Auto-Targeting goes further, building the whole audience from your product information, location, exclusions and any signals you add. It can suit broad awareness work, but LinkedIn’s help page on Auto-Targeting for ad sets notes that once an ad set is saved with it applied, you cannot switch back to manual targeting, a poor fit where you need control over who sees the ads.

How LinkedIn Combines Targeting Criteria

LinkedIn joins selections inside a group with OR and joins separate groups with AND and misreading this is a common reason an audience ends up far larger or smaller than intended. Adding more job titles to one group widens the audience, whereas each new group added with Narrow reduces it.

LinkedIn’s help page on combining targeting criteria gives the example of the job title software engineer or the skill software engineer, combined with five or more years of experience. Anyone with either the title or the skill qualifies, provided they meet the experience requirement and an Exclude group removes anyone matching criteria such as a competitor list.

Working through the groups in a fixed order keeps the logic easy to follow. It also makes the audience easier to adjust later.

Size is the final check. LinkedIn’s ad set setup recommendations set a minimum audience of 300 members, suggest at least 50,000 members to drive results and recommend adding at least four attributes to the include section. A named account list will often sit well below the suggested figure by design, which can still work provided expectations about reach and delivery speed are set accordingly.

Exclusions and Common Targeting Mistakes

Exclusions decide who does not see your ads and they protect budget as much as inclusions do. Existing customers, open opportunities, your own employees, competitors and seniorities with no buying influence are the usual candidates and excluded attributes are left out of audience expansion too.

Most targeting problems come from a handful of repeated habits rather than the wrong attribute. The comparison below sets the costly patterns against the approach that holds up better.

Reviewing results is where most improvement comes from. Campaign Manager’s professional demographics reporting shows the titles, companies and seniorities your ads reached and comparing that with qualified leads shows which segments deserve more budget. Our LinkedIn Ads audit checklist includes targeting checks you can run on an existing account.

Building Targeting Into a Repeatable B2B Strategy

Repeatable targeting starts with documenting why each audience exists, which funnel stage it serves and how it will be judged. Without that record, each campaign is rebuilt from memory and results become difficult to compare.

Sales input should shape those audiences. Your sales team knows which roles take meetings and which sectors convert and Priority Pixels maps the decision makers, influencers and gatekeepers within target organisations before any targeting is built. Audiences can then be split by funnel stage, with educational content for cold audiences and Lead Gen Forms for engaged prospects. Our article on LinkedIn Lead Gen Forms explains how that middle stage works.

Connecting LinkedIn to your CRM closes the loop. When Lead Gen Form submissions and Insight Tag conversions flow into the CRM, you can see which audiences produce pipeline rather than form fills and closed won accounts can be fed back in as a list or predictive audience source. Priority Pixels handles Insight Tag setup, conversion tracking and CRM lead sync as part of its LinkedIn Ads delivery, with weekly reviews that check campaigns are reaching the right accounts and our B2B LinkedIn advertising framework sets out how targeting fits into the wider campaign plan.