Why is it not recommended to use age or gender as targeting attributes?

Age and gender on LinkedIn are inferred attributes, meaning they are estimated based on profile data rather than being directly provided by the user. Relying on inferred data can significantly reduce your target audience size, potentially by 50% or more, because not all profiles have enough information for accurate inference. This can lead to missed opportunities and less effective campaign reach. Instead, focus on directly provided professional attributes like job title, industry, skills, or company, which are more accurate and relevant for B2B targeting. While age and gender are generally not considered "professional traits," the primary reason for avoiding them in targeting is the inference issue and its impact on audience size, not their inherent interest level. These attributes can be tracked in Campaign Demographics, but their inferred nature still poses a targeting limitation.