Data-Driven Job Posting: Publishing Is No Longer Enough

Writing a job ad is no longer the problem today. The tools have improved, content is produced quickly and the average quality of job descriptions has grown.

The real question is a different one: how many of the right people actually see that ad?

In the traditional model, most postings still rely on organic reach. But organic visibility has become structurally limited. The number of job ads published every day has increased significantly, platform algorithms favor sponsored content, and non-promoted ads are quickly overtaken by new content.

This means that publishing no longer guarantees reach.
And, in most cases, it does not even come close to generating it.

This is where the topic stops being “job posting” and becomes distribution.

From neuroscience to HR: a shift in perspective

AI in Recruiting: Opportunities and Risks with “AI-Enhanced” Candidates

Would you trust an algorithm to decide if you are the right person for your dream job?
In recruiting, this is no longer a hypothetical question: artificial intelligence is already rewriting the rules of selection.
Between CVs “enhanced” by AI, video interviews analyzed by software, and new laws on the way, the line between efficiency and risk is becoming increasingly thin.