How an Industry-Leading AI Recruiting Platform Enhanced Candidate Engagement with DataVertex
- Claire Liao
- Jan 21
- 3 min read
Updated: Feb 4

Overview
Our client, a well-established AI-first all-in-one recruiting platform with 400+ employees, specializes in streamlining talent acquisition for mid-market and enterprise companies. Their platform offers advanced hiring features, including sourcing, candidate engagement, and pipeline analytics. As a company focused on innovation and efficiency, they recently launched an AI Sourcing feature to enhance candidate engagement and user satisfaction.
As they expanded their AI Sourcing capabilities, they recognized the need for higher-quality contact data to enhance recruiter engagement. Their existing data providers offered competitive pricing but had significant coverage gaps, leaving many candidate profiles without valid personal emails. To maintain a low unit cost per contact credit while improving data quality, they needed a strategic data partner portfolio that could drive strong ROI.
Highlights
• Identified and resolved candidate email data gaps, improving the platform’s AI Sourcing capabilities.
• Recommended a high-performance data partner, conducted three extensive data tests to evaluate data performance, increasing email coverage by 33.77% for missing candidate profiles.
• Secured over 5 million annual email enrichment credits at a competitive cost with top-notch data quality.
• Optimized the client’s data partner portfolio, consolidating their data provider network and streamlining their waterfall enrichment process for better efficiency.
• Successfully negotiated a unit cost reduction, aligning the provider’s pricing with the client’s ROI expectations.

Challenge
As part of their AI Sourcing feature launch, the client faced a critical challenge: their existing data providers had significant coverage gaps for personal email addresses, leaving many candidates without the ability to be contacted. This limited the effectiveness of their platform’s engagement capabilities, impacting recruiter efficiency and user satisfaction.
Additionally, their current data partner portfolio was fragmented, leading to inefficiencies in their waterfall candidate contact enrichment process. They needed to consolidate vendors while ensuring they could achieve greater coverage and accuracy at an optimal unit cost.
Solution
To address these challenges, DataVertex leveraged its extensive network of 100+ data partners to optimize the client’s data enrichment strategy.
Extensive Data Testing & Evaluation
• We conducted three rounds of data testing to measure coverage, accuracy, and deliverability rates from potential data partners.
• Testing confirmed that 33.77% of candidate profiles previously lacking a personal email were successfully enriched with verified, reachable addresses. This significant improvement aligned with the client’s goal of enhancing recruiter engagement capabilities.
Optimizing Data Partner Portfolio
• We streamlined the client’s data partner portfolio, consolidating vendors to reduce redundancy and improve efficiency.
• We helped the client restructured the waterfall candidate enrichment flow, ensuring the most accurate data sources were prioritized, achieving more with fewer vendors.
Cost Optimization & Negotiation
• To meet the client’s ROI and unit cost targets, we negotiated a cost-efficient pricing model with the new data provider.
• This allowed the client to achieve higher-quality data without exceeding their budget per contact credit.

Results
• Enhanced Platform Candidate Engagement:
Over a third of missing emails were enriched, allowing recruiters to engage with a broader candidate pool.
• High-impact Data Acquisition:
The client subscribed to 5 million annual email enrichment credits at a competitive rate, enabling their users’ candidates engagement activities.
• More Efficient Data Strategy:
With a consolidated data partner portfolio and streamlined enrichment process, the client now achieves better results with fewer vendors.
• Improved User Satisfaction:
By addressing email coverage gaps, the client’s AI Sourcing feature became significantly more effective, driving higher satisfaction among recruiters using the platform.
Conclusion
This case study showcases DataVertex’s ability to drive strategic improvements in HR Tech data infrastructure. By optimizing the client’s data partner portfolio, improving email quality, and negotiating cost efficiencies, we enabled them to enhance AI-driven sourcing while maintaining strong ROI.
At DataVertex, we specialize in helping HR Tech companies of all sizes maximize the value of their candidate databases through expert data partner selection, enrichment strategy optimization, and cost-effective scaling.
Let’s talk about how we can help your team achieve higher-quality data, better efficiency, and cost optimization for your recruiting platform!
