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When you search LinkedIn, the results you get come from the keywords you typed into the Advanced Search fields, but I’m guessing you already knew that! What you might not have known, is that while the results you get may seem like an expansive, all encompassing search has been carried out, there are probably plenty of keywords you’re still missing that will help you find that perfect candidate.
This usually means finding alternative ways of saying and phrasing the same job title or skill set. But how do you get the inspiration to come up with new and different ways of saying essentially the same thing? Well, we have a simple little trick for dramatically increasing the number of keywords and synonyms you include in your search to find the perfect candidate, without even having to leave LinkedIn.
This is where the often overlooked “People Also Viewed” section comes in. Go into the profile of any LinkedIn user and you will find on the right hand side, a section dedicated to aggregated data, but not just any aggregated data – data relating to the profiles other people have viewed either before or after the person you’re currently viewing.
By showing you these 10 people in the “People Also Viewed” section, LinkedIn is trying to tell you that other people (e.g.recruiters etc.) who’ve viewed the person you’re currently looking at, have also viewed the profiles of these 10 people and they’ve done so because they share very similar traits with the person you’re now viewing who, as we know, is quite a good match for your search. In fact, they probably have a similar job title, skill base or they work at the same company in a similar capacity.
So what does this mean? Well my friends, if you think about the type of data now available to you within those 10 other profiles, things start to get a tad exciting! In short, you can use the profile information of these 10 other folk as inspiration for keywords and synonyms to use in your Boolean search string, that will help you pinpoint even more exactly the candidate you’re really looking for.
For example, you can see that while all the job titles listed below aren’t the same, they do all essentially mean the same thing. I searched LinkedIn for a Digital Marketing Manager and I found Rick, but the people before me who viewed Rick, also viewed these 10 other people. And some of these 10 other people have job titles I didn’t think to include in my search the first time meaning, therefore, I may not have found them in my list of search results, and they too have the skills I’m looking for e.g. ‘Content and Communications Manager’ and ‘Digital Director’. Taking this information, all I have to do now is add those titles to the keywords in my Boolean string, re-run my search and I’ll find even more relevant search results for the job I’m trying to fill.
The same goes for skills. A quick glance a these peoples’ skill section and you’re bound to discover a way of saying a particular skill you hadn’t thought of, that can only improve your search and the type of candidates who appear in your search results e.g. a Digital Marketing Manager could also be known as a Digital Brand Manager or a Digital Brand Architect.
Now that you know how to effectively research keywords, make things even easier on yourself by going ahead and putting our purpose built Boolean Generator to work. As the title suggests, the Boolean Generator generates perfect Boolean strings for you to use in a variety of professional networks (including LinkedIn), ATS and job boards. Just set up an account for FREE and start building impeccable Boolean search strings immediately. For more information click here or watch the video below: