We’re still in the early days of social recruiting but we have some data to share on Facebook Likes on job descriptions.
We perused the analytics for our jobs (the ones that had dependable data) and want to share the following #s:
- Average Facebook Likes per job description: 7.26
- The average # of visits from Facebook per job description Like: 4.33
- The average total visits generated from Facebook Likes (per job): 31.5
2 minutes and 28 seconds on their visit to the job descriptions — this shows a fairly serious level of engagement (as way of comparison, our research shows that visitors from LinkedIn sharing spend around 3 minutes and 30 seconds).
Top Most Liked Jobs: SFDC, Retargeter, Identified, 10gen & Klout
Of the job descriptions we looked at, those from Salesforce.com, ReTargeter, Identified, 10Gen and Klout were among the top 5 in # of Facebook Likes. Some examples of the top most Liked jobs
- Salesforce Community Manager Job (94 Likes)
- Retargeter’s Full Stack Engineer (61 Likes)
- Identified Core Engineer (34 Likes)
- 10gen Senior Sales Rep (32 Likes)
- Klout’s Web Application Engineer (30 Likes)
Tips On How To Maximize Facebook Likes On Your Job Descriptions
You’ll notice that all the jobs below have visuals in them. This is key to recruiting using Facebook Likes because it allows a thumbnail pic to show up in the news feed of the Facebook user Liking the job.
If your job description does not have an image, then there will be no thumbnail that appears on Facebook.
We also recommend that you get as many people in the hiring team involved in each job posting, ideally getting mentioned in the job description.
The jobs above most successful at using Facebook Likes for recruiting all have the hiring manager identified (through their LInkedIn identity) and many also have others on the hiring team participating in the live commenting and video components of the job description.
If someone is mentioned in a job description, they are more likely to want to share it with their networks (by clicking the Like button).
Some disclaimers here: Not all of Facebook visits had to come directly from those job likes (though in our opinion the vast majority did). Our sample size is super-small: just 71 jobs (and the duration of jobs being online ranged from just a couple of weeks to many months).
The Facebook Likes on job descriptions included some of the employer’s own hiring team as well as their employees.
We took the median #s as opposed to averages because some jobs had a high number of Likes and would throw things out of whack.
Klout’s new Big Data Engineer posting just blew away the record for Facebook Likes: It’s already had 100+ in less than 12 hours!
Check it out!: https://ongig.com/jobs/Klout/Senior-Software-Big-Data-Engineer-San-Francisco-CA