You may have heard about Google's emergence into the job space and with their dominance (77% global market share!*) in the search engine realm, you may be wondering how you can take advantage of this new era of recruitment marketing.
Read MoreTHURSDAY: Webinar with IBM - Best Practices for Attracting Candidates on a Recruiting Budget
Competition for top talent is fierce - you have shrinking unemployment rates, widening skill gaps, and a list of open req's that never ends. Nowadays, you just can't afford to go fishing in the pool at a given time and pray for the purple squirrel. Organizations need to position themselves as 'the place' that passive (and highly skilled) job seekers are attracted to.
Read More[Infographic] 9 Ways to Shape your Employment Brand
Employment branding is culture. And while culture is the responsibility of every leader and every employee, the implementation and execution of an employment branding strategy, remains largely the responsibility of the organization’s recruiters and talent acquisition teams.
[Video] Chris Forman Discusses Recruiting Best Practices for Sales Professionals
Sales roles are one of Appcast's top five areas of focus for our clients, partly due to strong market demand. Demand for sales roles reached an all-time high this past June, as it continues to be one of the fastest growing verticals within organizations.
Read MoreUnless you’ve been living under a rock, you’ve heard the news: search engine-giant Google has entered the world of online recruiting, causing many thought-leaders to wonder and predict what this means for the current talent acquisition landscape.
Read MoreUntil recently, most recruiters evaluated their job advertising spend almost exclusively on macro-level outcome metrics, like total numbers of applicants. As the recruiting landscape has become more competitive, the challenge now, is that focusing on only the total number of applicants you can pull through the hiring funnel ignores job level data effecting the ROI of your spend.
Read MoreBroadly defined, the term artificial intelligence (AI) is applied to machines and algorithms that mimic the cognitive functions of human beings. But for the time being, AI augments and/or automates only specific tasks, but does not and may never possess a “general intelligence” similar to the human brain.
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