Very informative! Thank you! Far too often, most hiring managers attempt to market to the total addressable market, as opposed to a more targeted pool of candidates.
That methodology doesn't take into account probably the biggest factor - geographical location of your targeted prospects. You initially stated that you looked at engineers World wide. Well, in some geographical regions, candidates are much more likely to respond to inmails than in others. Have you analysed that? Based on that example alone I don't think it's entirely ground breaking but does give a slightly new angle on how to use data so thanks for sharing.
Affinity for the brand in my opinion can be detected easier, but in the example you went from 2k to 699 based on quality and affinity. Can you tell us more about how would you use data to determine the quality of a candidate?
Hey, interesting video! However, how did you make sure of quality of those 2000 candidates who never applied to you, using what metrics?
Very informative! Thank you! Far too often, most hiring managers attempt to market to the total addressable market, as opposed to a more targeted pool of candidates.
That methodology doesn't take into account probably the biggest factor - geographical location of your targeted prospects. You initially stated that you looked at engineers World wide. Well, in some geographical regions, candidates are much more likely to respond to inmails than in others. Have you analysed that?
Based on that example alone I don't think it's entirely ground breaking but does give a slightly new angle on how to use data so thanks for sharing.
Affinity for the brand in my opinion can be detected easier, but in the example you went from 2k to 699 based on quality and affinity.
Can you tell us more about how would you use data to determine the quality of a candidate?