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3 May 2013

Resume Extraction Reveals Real Job Applicant Behavior With Big Data

Posted by JamesT

Every day our enterprise customers and industry partners use Talemetry's resume extraction capabilities, which present a solution to the challenge of efficient resume extraction and effective capturing, collecting and indexing of resume data. Talemetry processes over 80 million resumes, making us the biggest, and most relied on, resume extraction and parsing technology in the world.

Given the fact that we process more resumes than anyone, we thought it might be interesting to take a deeper dive into our big data to reveal how job applicants really apply for jobs - all 80 million of them (and counting).

Here are some highlights from Talemetry's advanced analytics on job applicants:

Tradtional Resume Extraction

Microsoft Word is Still Dominant

  • Microsoft Word formats account for 77.7% of all resumes processed
  • Of these resumes, 55.1% were formatted in Microsoft Word 97, the most common resume format
  • Microsoft Office 2007 and later editions continue to gain market share with their supported Docx files comprising 20.5% of resumes extracted, a number that increases every year as upgraded versions of Office become more common

PDF and Other Formats Are Catching Up

  • PDF resumes now account for 8.2% of applications, up significantly over the prior two years.
  • HTML, Text and Richtext account for the majority of the remaining 12.7% of resume extraction formats.

Other Word Processors Are Rare

  • Open Office and Apple iWorks only account for 0.3% of all resumes
  • The remaining 0.5% of applications come from 28 other miscellaneous document formats and versions.

Job Applicants and Social Media

In addition to allowing candidates to apply by uploading a traditional resume, we also allow candidates to apply using their social networking profiles. While the number of applications received through social profiles is still a minority in comparison to traditional resumes, we expect to see growth here as more people continue to build more information-rich online profiles.

Social Profiles

LinkedIn Dominates Facebook

  • Candidates are 7 times more likely to apply using their LinkedIn profiles vs. Facebook
  • Among job candidates applying with their social profiles, 58% were male
  • The heaviest use of social profiles to apply for jobs was 18-24 year olds, followed by 25-34 year old job seekers

Regardless of whether a candidate applies using a traditional resume or a social network profile, resume extraction reduces the amount of information a candidate is required to manually enter creating an easier and more positive candidate experience. Understanding the formats your candidates want to use when applying is also key in designing a candidate friendly application process.

Topics: Talemetry Today, talemetry apply, talent generation, resume extraction, social recruiting, resume parsing

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