Candidate Experience Data Employer Branding Talent Analytics 
Change State Blog
OCTOBER 23, 2019
One of the more exciting developments we’ve been watching in the past 2-3 years is the emergence of data visualization dashboards designed to help talent acquisition teams, well, visualize data from candidate experience and employer brand health surveys.
Glassdoor for Employers
MARCH 12, 2018
As of 2015, the average cost-per-hire for American employers was $4,000. If your company isn’t keeping track of data. What’s your cost-per-hire?
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SmartRecruiters
FEBRUARY 6, 2023
A diversely-skilled recruiting team can switch between activities such as sourcing, employer brand development, or assessment strategies as needs arise. A positive influence on candidates. Recruiters are on the frontlines of your employer brand; they’re selling your employee experience to potential candidates every day.
Social Talent
JULY 5, 2016
Candidates not actively looking for positions will not be receptive to cold calling or irrelevant InMails so recruiters need to go beyond this to pique candidates’ attention. What you can do: Focus on your employer brand. Recommended Reading: 5 Ways Content Marketing Can Dramatically Boost Your Employer Brand ).
JazzHR
NOVEMBER 14, 2023
For instance, recruiters, hiring managers , interviewers, offer approvers, and ATS admins can all be auto-assigned to their distinct roles in JazzHR, which informs their data/screen access. Using top-rated recruiting technology with out-of-the-box talent analytics, your business can access real-time insights tied to your hiring efforts.
Staffingsoft
JUNE 8, 2023
Organizations need to align their employer branding and recruitment strategies with these changing expectations to stand out from the competition. Building an Employer Brand In a candidate-driven market, attracting top talent requires a strong and compelling employer brand.
Linkedin Talent Blog
JUNE 13, 2019
A recent report from Deloitte found that 71% of companies view people analytics — the practice of collecting, cleaning, and interpreting data about employees to make better business decisions — as a high priority at their organization. Before you get started with analytics, make sure you have quality data.
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