Did you know that in the US alone, enterprise employers spend over $5 billion annually on job advertising?
The unfortunate reality is that less than 5% of the sponsored ad clicks they buy will result in a completed job application.
Solutions in the market like programmatic job advertising and Native Apply (Indeed and LinkedIn Easy Apply, for example) are helping to improve the situation, but at Appcast Labs, we’ve been asking what else could be done to fix this?
Outside of recruitment marketing, marketers of goods and services have known for years that strong ad creative can mean the difference between a winning or losing ad campaign. But today, most job descriptions – the “creative” elements of a job ad that require writing or visuals – are still a byproduct of Legal & HR business process.
Key Insights
The words used in a job title and in a description are key to attracting the right audience to a job ad and then engaging those potential candidates to move forward and apply. According to Appcast’s research:
0%
more applies on gender neutral job ads
0%
higher apply rate on ads with 1+ benefit
0%
more clicks on ads with shorter titles
Our First Challenge
How is it possible, at scale, to identify all the specific concepts and phrases within the copy of job descriptions that affect ad performance?
Our solution: we developed proprietary and commercial artificial intelligence data processing pipelines to identify key ad content.
From this solution, we’ve developed four key tools that can solve real-world job ad optimization challenges.
Our Work
Introducing
Appcast Xtend
Xtend creates better candidate experiences to engage more of your career site & ATS visitors to drive more hires