March 15, 2017 by Ted Bauer
Programmatic advertising is alive and well in the present. However, many recruiters still think of it as a future strategy. Programmatic advertising will account for 50% of all digital ad sales by 2018, if not even sooner. That is only a year from now, so if you’re still not putting dollars into this method of recruitment, you should start paying attention. Despite this rapid scalability of programmatic advertising, it’s been slow to adapt to the recruiting and entry-level hiring space. Here we will explore how this new technology will look in the recruitment space.
A primer on programmatic advertising
The overall concept of programmatic advertising can be very nuanced. Essentially, it’s based on artificial intelligence (AI) and real-time bidding (RTB). It automates the decision-making process for where to place advertisements online. As digital and mobile technologies scaled, programmatic was a way to help maximize the ROI of advertising budgets. Consider this: there are more than 41,000 zip codes in the United States alone. To manually optimize and target campaign efforts is beyond the scope of most human beings. Here there was a natural space for programmatic advertising, which can automatically understand where to place advertisements based on a web user’s data patterns. As Digiday has summarized, albeit a bit flippant, “It’s using machines to buy ads.”
Programmatic advertising kills “post and pray” in recruitment
The standard recruiting approach for years has been “post and pray.” A company will create (or recycle) a job description and then mass-post to a variety of boards. Then, they just hope some ideal candidates roll in. The ROI on this process is suspect, and it’s even more suspect if you’re a company with high-volume hiring needs. While you need a lot of candidates, you also need to stay within budget — so there has to be a degree of strategy and targeting to the process. Unfortunately, there often is not.
Programmatic advertising attempts to solve some of these issues. It proves a clearer ROI and makes sure that recruitment advertising budgets are slotted towards the most important vacancies. And, above all: the processes that used to give recruiters the most headaches are now almost entirely automated.
A breakdown: What does this look like for recruiters?
If you are a recruiter just trying out programmatic advertising, here’s how it breaks down at the ground level: Continue Reading
December 20, 2016 by Anna Peters
Contributing writer Ted Bauer
There is a lot of talk about artificial intelligence in recruiting. Here’s something most people probably don’t know: artificial intelligence actually debuted at a conference at Dartmouth University in 1956. Yep, 11 years after the end of WW2, AI was already on the scene. At the time, there was a lot of optimism. Some people at the conference believed robots and AI machines would be doing the work of humans by the mid-1970s. Of course, that didn’t happen. Instead, funding dried up and we began a period called “The AI Winter”. That ostensibly lasted into the 2000s, when IBM’s Watson peaked a lot of interest in artificial intelligence again.
Now we’re at an interesting place. Like PCs in the early 1980s or the Internet in the early 1990s, artificial intelligence is “out there” and people know about it. There’s anxiety around artificial intelligence and what it means for the very nature of the work many of us do. However, I believe it will be a rising tide that will “lift all boats.” Here’s how AI might impact the recruiting industry going forward.
AI is already here in recruiting
One example of today’s cutting edge recruiting AI is an application developed by HiringSolved. They call it RAI — pronounced Ray — for “Recruiting Artificial Intelligence.” The project is about six years old and still being perfected. Its execution is similar to a chatbot. You can say something to RAI like, “I need to find 20 project managers in the accounting sector within 50 miles of Boston,” and — much like you might tell Siri to turn on Pandora — it will begin to comb through resources and find you those project managers.
You could also use clarifying questions, such as “What does Microsoft call product engineers?” Continue Reading