In this article you will learn how to analyze data for job ads on Nelisa and use it to optimize campaigns for better recruitment results.

Proper interpretation of data is key to effective recruitment. It helps you not only optimize campaigns but also understand candidate behavior and achieve better results.

Each job ad on Nelisa contains detailed statistics that allow you to evaluate campaign success and possibly make optimizations.

Statistics are displayed in the job ad detail 24 hours after publication and are updated once a day.

1. Before launching a campaign: Setting expectations

For campaign evaluation to make sense, it's important to set realistic expectations in advance. Before launching a campaign, we recommend considering:

• How long does the position usually take to fill and what are the demands?
• How large is the target group and how difficult is it to reach candidates?
• Is the offer competitive (salary, benefits, conditions)?
• How many people and in what timeframe do you need to hire?

For example: A campaign can bring hundreds or thousands of visitors, but only a few real candidates. This is common for specialized positions where the target group is smaller and candidate selection is more complex.

2. Campaign evaluation: What data to track?

Each job ad on Nelisa provides detailed campaign performance statistics that help evaluate its success and possibly make optimizations. These statistics are displayed in the detail of each job ad 24 hours after publication and are updated once a day.

a.) Visits (unique users)

📊 What do we measure?

Number of individual users who viewed the job ad.

🔎 What to read from it?