Topics · Surface

LinkedIn Ads

Contents
  1. Where paid ads appear and who runs them
  2. How advertisers choose their audience
  3. Campaign settings, budgets and boosting
  4. Targeting rules and advertising policy
  5. Member controls over ads shown
  6. How it has changed
  7. How ads are selected and ranked
  8. What you can do
  9. See also
  10. References

LinkedIn Ads are LinkedIn's paid advertising products, such as Sponsored Content in the feed, which let organizations put content in front of chosen audiences, apart from the organic updates from a member's network.12 Advertisers can choose audiences using profile attributes or their own data, and creators can boost posts to expand their reach with chosen objectives and budgets.23 Members can inspect why an ad appeared and adjust advertising preferences, including how LinkedIn and third-party data are used to show them ads.24

Where paid ads appear and who runs them

LinkedIn Ads reach members through several formats, including Sponsored Content in the feed and dynamic ads.14 LinkedIn's Help Center says Sponsored Content lets organizations raise awareness, build relationships and drive quality leads through their Page updates.1 It is shown to members who follow the sponsoring organization and may also be shown to members who fit the advertiser's audience criteria, while most feed updates remain organic content from a member's network.1 LinkedIn's 2022–2023 DSA report describes dynamic ads, which are customized for each member, appear to the right of the feed rather than in it, are not shown on the mobile app and carry an "Ad" label.4 A Microsoft patent describes the people who run ads as content producers such as advertisers, who create a campaign to deliver a series of sponsored items to an audience over a set time.5

How advertisers choose their audience

LinkedIn's Help Center says advertisers define their audiences with member attributes such as general location, job title or skills listed on a profile.2 Advertisers may also build a target audience from their own data that they share with LinkedIn.2 LinkedIn's 2022–2023 DSA report adds that targeting can use information inferred from a profile and usage, for example years of experience added up from work history and professional interests inferred from feed posts.4 A LinkedIn patent from 2017 describes storing each campaign's target audience as short numeric codes, so that a request for a given member can quickly find the campaigns whose audience includes that member.6 A Microsoft patent from 2021 describes audience expansion, which also reaches members similar to the group an advertiser chose.7

Campaign settings, budgets and boosting

LinkedIn's Help Center says Campaign Manager's ad-set settings start with choosing a marketing objective, followed by configuring audience, placement, spending and schedule, with optional tracking.2 Another Microsoft patent describes attributes such as the objective (for example brand awareness, conversions or engagement), overall and daily budget limits, and a bidding strategy that can favor clicks, impressions or acquisitions.8 A further Microsoft patent says a campaign has a start date and time and, optionally, an end date and time.9 Boosting is a way to expand the reach of your content: LinkedIn's Marketing Blog says to choose a post already getting strong engagement organically and use clear visuals and concise copy.3 It also says to pick an objective such as impressions, website visits or video views that matches the goal, and to budget at least $25 and run for 3 or more days so the system can learn.3

Targeting rules and advertising policy

LinkedIn Ads come with limits on targeting, described in its DSA reports and an independent audit.1314 Advertisers must agree to LinkedIn's terms and conditions before creating a campaign, and an independent auditor reported in 2025 that LinkedIn does not use special categories of personal data for ad targeting.13 LinkedIn's DSA reports say it does not allow targeting on protected characteristics other than age and gender, and that targeting by age or gender requires the advertiser to certify first that ads about employment, housing, education or credit will not discriminate.1415 Advertisers cannot exclude people by age or gender, and ad targeting of members in Europe using LinkedIn Groups is not allowed.14 The same reports say lookalike audience features, such as predictive or expanded audiences, do not use sensitive demographic attributes such as sex or age within the model.1415

Member controls over ads shown

Members have some control over the ads they see.2 LinkedIn's Help Center says a member can click the More icon on an ad, choose "Why Am I Seeing This Ad?" and learn why they were in the audience, who the advertiser is and who paid.2 The member can mark the ad relevant or not and, if they mark it not relevant, remove it from the feed.2 In ad settings, members manage general advertising preferences and how data collected on LinkedIn and third-party data are used, and a member who limits this information still sees ads, but they may be less related to the member's interests or experience.24 LinkedIn also says a member's social actions, such as likes and comments, influence the ads shown.16

How it has changed

  1. 2023

    June

    LinkedIn's Marketing Blog advised being specific with targeting but not so specific that reach is limited.17

  2. August

    Patrick Corrigan wrote in a LinkedIn article welcoming the that LinkedIn was expanding its "Why am I seeing this ad" feature to include more information about the type of ads members see and other options to manage the advertising experience.18

  3. 2025

    December

    LinkedIn's Marketing Blog recommended an audience size of 50,000–500,000 for boosted posts.3

How ads are selected and ranked

From LinkedIn's research and patents, which may not describe how LinkedIn works today

A Microsoft patent from 2020 says campaigns with higher bid prices generally win the ad auction (the process that decides which ad is shown when several compete for the same spot), but other factors can limit the effect of bids, including predicted click-through rate, budget pacing (how fast a budget is spent), and frequency capping (how often one person sees the same item).10 A LinkedIn research paper from February 2026 describes CADET, a model that predicts the chance a member clicks an ad in the main feed.11 The paper calls these sponsored updates the main place ads are shown and says click prediction is the core model that determines which ads are displayed.11 A Microsoft patent from 2026 describes a blending model that places sponsored and organic items in a list, using the advertiser's bid for paid items and a hypothetical "" for organic ones.12 That patent also lists limits on placement, such as a maximum number of consecutive sponsored items.12

What you can do

  • Create a campaign, duplicate it and change the targeting criteria you want to test, to run an A/B test of your targeting on LinkedIn.17
  • Open the Ad Library from LinkedIn's Transparency Center to search ads that have run on LinkedIn.19

See also

References

LinkedIn

  1. 1LinkedIn Feed - OverviewLinkedIn Help
  2. 2Why am I seeing ads on LinkedIn?LinkedIn Help
  3. 3How Boosting Helps Your Content Reach More of the People who Matter MostLinkedIn Marketing Blog · Dec 16, 2025
  4. 4DSA Systemic Risk Assessment Report and mitigation measures, 2022–2023LinkedIn Ireland Unlimited Company · Feb 19, 2025
  5. 13External DSA Audit Report 2024–2025 (DSA and Code of Conduct), non-confidentialIndependent auditor (as published by LinkedIn) · Sep 17, 2025
  6. 14DSA Systemic Risk Assessment Report, 2024–2025LinkedIn Ireland Unlimited Company · Aug 22, 2025
  7. 15DSA Systemic Risk Assessment Report, 2023–2024LinkedIn Ireland Unlimited Company · Feb 19, 2025
  8. 16Visibility and impact of your social activity on the LinkedIn feedLinkedIn Help
  9. 17Unlock the Secrets to Breaking Through on the LinkedIn FeedLinkedIn Marketing Blog · Jun 16, 2023
  10. 19Our Transparency CenterLinkedIn

LinkedIn's leaders

  1. 18Welcoming the Digital Services ActPatrick Corrigan, LinkedIn article · Aug 25, 2023

LinkedIn research and patents

  1. 5MODELED CONVERSIONS FOR A CONNECTION NETWORK SYSTEMMicrosoft patent · Sep 17, 2026
  2. 6Optimizing a content index for target audience queriesLinkedIn patent · Oct 3, 2017
  3. 7Audience expansion for online social network contentMicrosoft patent · Nov 30, 2021
  4. 8DYNAMIC AD AUDIENCE OPTIMIZATION AND STAGE TRANSITION FRAMEWORKMicrosoft patent · Mar 26, 2026
  5. 9Deep neural networks for targeted content distributionMicrosoft patent · Nov 24, 2020
  6. 10Resource usage control systemMicrosoft patent · Apr 7, 2020
  7. 11CADET: Context-Conditioned Ads CTR Prediction With a Decoder-Only TransformerLinkedIn research paper · Feb 11, 2026
  8. 12Linear programming-based dynamic blending modelMicrosoft patent · Jun 23, 2026

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Unofficial. Not affiliated with LinkedIn or Microsoft. AI answers from the sources shown.