The CandidateIQ Blog

A deep dive into turning your candidate database into a revenue-generating machine

Bad emails in your Bullhorn database aren’t just an inconvenience—they hurt recruiter efficiency, engagement rates, and email deliverability. Implementing automated email verification ensures that your outreach efforts reach the right people, improving both productivity and hiring success.

Learn how sourcing and recruiting leaders are making Bullhorn the go-to tool again with complete, enriched, and actionable candidate profiles.

Each of the 5 milestones in this blog represents a critical step toward building a high-performance Bullhorn recruiting engine. The more milestones you achieve, the more successful your firm becomes.

Podcast Recap: The Staffing Ring — Featuring Andrew Buhrmann

If there was one takeaway from our recent Data Strategy Webinar, it’s this: data quality isn’t just a technical issue—it’s a revenue issue. Whether you’re trying to improve recruiter efficiency, enhance marketing performance, or leverage automation and AI, bad data can silently kill your results.

Tony Moore’s recent job Topia podcast featured Bullhorn’s Eric Scalese who discussed the latest trends in CRM and ATS software, how to evaluate them and how maximize their effectiveness with integrated database management tools like CandidateIQ.

Recently, our CEO, Andrew Buhrmann, joined Tony Moore on the jobTopia podcast to dig into one of the most pressing issues in staffing today—data management. With over a decade of experience in AI for staffing, Andrew sheds light on how CandidateIQ is tackling productivity drains caused by messy data and explains what firms can gain by creating a "private marketplace" for talent.

In a recent episode of the Pulsecast Podcast, hosted by Travis Webb and PARQA, Jeff Neumann, SVP of Product Marketing at Bullhorn, shared valuable insights on the evolving role of AI in staffing. Here are the key takeaways and our CEO Andrew Buhrmann's perspective on these insights.

Maintaining accurate phone numbers in your Bullhorn database is essential for effective candidate engagement. Transitioning from manual verification to automated processes can significantly enhance data quality, leading to improved recruiter productivity and better candidate relationships.

Addressing data blindness for Bullhorn uncovers hidden data problems, improving search accuracy and recruiter efficiency.

Addressing data debt for Bullhorn prevents outdated information from slowing down your system, ensuring a cleaner and more reliable database.