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How a Top AI Recruiting Platform Enhanced Candidate Engagement with DataVertex Candidate API

  • Writer: Claire Liao
    Claire Liao
  • Jan 21, 2025
  • 2 min read

Updated: 6 days ago


DataVertex case study image with a headline on AI recruiting. Features people collaborating and a woman on the phone. Text bubbles highlight services.

Overview

An industry-leading AI-driven recruiting platform with 400+ employees provides end-to-end hiring solutions for mid-market and enterprise companies. As part of its continued innovation, the company launched an AI Sourcing feature designed to improve recruiter productivity, candidate engagement, and hiring outcomes.


To power this feature, the platform needed high-quality, scalable candidate contact data, specifically verified personal email addresses, to enable effective outreach.


Highlights


  • 33.77% increase in email coverage by enriching previously missing candidate records

  • 5M annual enrichment credits powering scalable, on-demand contact data

  • Improved candidate engagement through higher deliverability and accuracy

  • Consolidated multiple vendors into one API, reducing complexity and improving efficiency

  • Stronger ROI on outreach with a high-quality, cost-effective data solution




Woman in blue shirt, pointing at candidate contact data on a computer screen with a pen, sitting at a desk with notebooks, pencils, and a blurred window view.

Challenge

While the platform already had strong sourcing capabilities, its candidate engagement was limited by incomplete and inconsistent contact data.


  • Many candidate profiles lacked verified personal emails

  • Existing providers offered lower-cost data but suffered from significant coverage gaps

  • A fragmented enrichment setup created inefficiencies and inconsistent results


This directly impacted recruiter effectiveness and reduced the value of the AI Sourcing feature.


The company needed a solution that could:


  • Increase email coverage and accuracy

  • Scale efficiently across millions of candidates

  • Maintain a strong cost-per-contact model


Solution - DataVertex Candidate API

The company integrated the DataVertex Candidate API to power its candidate contact enrichment at scale.


High-Coverage Email Enrichment

Using the API, the platform was able to enrich previously missing candidate records with verified personal email addresses.

  • Successfully enriched 33.77% of previously missing emails

  • Delivered high deliverability and accuracy for outreach

This immediately expanded the platform’s reachable candidate pool.


Scalable Credit-Based Data Access

Through the DataVertex Candidate API, the client gained access to 5 million annual email enrichment credits, enabling:

  • On-demand enrichment within their product workflows

  • Seamless scaling as user demand increased

  • Consistent data delivery across all sourcing activities


Streamlined Enrichment Workflow

By consolidating enrichment through a single API layer, the platform:

  • Reduced dependency on multiple vendors

  • Simplified its waterfall enrichment logic

  • Improved overall system efficiency and reliability

This allowed the product team to focus on core AI features instead of managing fragmented data pipelines.


Optimized Cost-to-Performance Ratio

The DataVertex Candidate API provided a high-quality, cost-efficient data solution, enabling the company to:

  • Maintain competitive unit economics

  • Improve ROI on each contact credit

  • Deliver better performance without increasing costs



Four people in an office setting. A woman who is the data provider stands, smiling and shaking hands with another women who is the client. Two others who are from DataVertex sit, watching and smiling. Bright room.

Results


Increased Candidate Engagement

With over a third of missing emails enriched, recruiters could connect with a significantly larger portion of their candidate database.


Improved Product Performance

The AI Sourcing feature became more effective, with stronger outreach capabilities and better user outcomes.


Operational Efficiency Gains

A unified API approach streamlined data workflows and reduced complexity across the platform.


Higher Customer Satisfaction

Improved contact data directly translated into better recruiter experiences and higher platform adoption.


Conclusion

By integrating the DataVertex Candidate API, the recruiting platform transformed its candidate engagement capabilities.

Instead of relying on fragmented data providers, the company leveraged a single, scalable API solution to deliver:

  • Higher email coverage

  • Better data quality

  • More efficient enrichment workflows

  • Stronger ROI on candidate outreach

The result was a more powerful AI Sourcing product that enabled recruiters to engage more candidates and drive better hiring outcomes.



A man in a suit smiles with arms crossed. Behind him are illustrated profiles. Text: "Get In Touch Today" and QR code for DataVertex.

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