Entelo + Greenhouse integration: setup, metrics, and best practices

Search by Entelo integrates candidate discovery, predictive candidate signals and outreach capabilities with applicant tracking systems such as Greenhouse to streamline how teams source, engage and convert external talent. The integration syncs candidate profiles and outreach activities into Greenhouse, letting recruiters move qualified candidates into interview pipelines without manual copy-paste or CSV exports. This article explains the integration's core functionality, who gains the most value, measurable benefits to recruiting operations, implementation steps and practical tips for getting consistent ROI from Search by Entelo connected to Greenhouse.

How the integration works in practical terms: sourcers run targeted searches in Entelo, review inferred skills and candidate signals, then push matched profiles directly into Greenhouse as prospects or candidates. Outreach cadences initiated in Entelo can be tracked in Greenhouse, and sourcing activity is visible alongside ATS workflows so talent owners see both sourced and applied candidates in one place. Technically, the integration uses API-level connections to map key fields (name, email, work history, inferred skills, outreach notes) and to create or update candidate records in Greenhouse; organizations can configure sync frequency, permission levels and which attributes to transfer.

Core features delivered by the integration

• Targeted candidate discovery Custom boolean searches, filters and candidate highlights let sourcers quickly find profiles that match required skills and experience.
• Inferred skills and predictive signals Entelo models suggest skills not explicitly listed and surface candidates likely to change jobs or move into a predicted next role.
• Direct ATS push Selected profiles and outreach history are created or updated in Greenhouse, removing manual data entry and preserving sourcing context.
• Automated outreach and sequencing Configure multi-step messages from Entelo and track responses in Greenhouse to measure outreach effectiveness in one place.
• Talent market insights Dashboards show addressable market size, common skills, and distribution of experience levels to guide hiring strategy.

Who benefits most from the Entelo–Greenhouse connection

• Sourcers and recruiters Spend less time manually compiling lists and more time qualifying high-probability candidates.
• Talent acquisition operations Standardize sourcing-to-ATS workflows and capture data for reporting and process improvement.
• Hiring managers Receive more accurate, contextual candidate profiles and faster shortlist delivery.
• Sourcing teams at scale Teams covering multiple roles or regions reduce duplication and maintain a living pipeline of prospects.

Before vs After: Typical impacts of the integration

Implementation checklist and practical setup tips: start by auditing Greenhouse permissions and API access, then install the Entelo integration and map fields you want to sync (basic profile fields, inferred skills, outreach activity). Configure which user roles can push candidates and whether Entelo should create prospects or full candidate records in Greenhouse. Additional tips: limit initial sync to one or two roles to validate mappings, enable audit logging for a trial period, and schedule regular checks for duplicate detection settings to prevent multiple records for the same person.

Sourcing best practices to use with the integration

• Start with narrow boolean + inferred skills Combine precise role-based terms with inferred skills to surface candidates who match both explicit and implicit requirements.
• Use predicted role to sequence outreach Align message content to the candidate’s predicted next step—examples: ‘senior backend engineer moving into tech lead’—to increase relevance.
• Schedule outreach windows Leverage timing recommendations to send messages when candidates are statistically more likely to respond.
• Tag and segment in Greenhouse Preserve Entelo tags and reason-for-contact fields so sourcers and hiring teams can filter prospects quickly.

Data privacy and security considerations: verify Entelo’s privacy policy and how the integration handles personally identifiable information during transfer to Greenhouse, and confirm both systems meet your organization’s security standards. Configure data retention and purge rules in Greenhouse for externally sourced prospects to stay compliant with internal policies. If operating across geographic regions, check regional data handling options and whether candidate records are stored or routed through specific endpoints. Ensure consent and sourcing source-attribution processes align with your legal requirements.

Key metrics to track post-deployment

Common questions about Search by Entelo for Greenhouse

Example scenario (operational walkthrough): a mid-sized product company needs three senior backend engineers. Sourcers run role-specific searches in Entelo, identify candidates with inferred cloud microservices experience, and push 25 high-probability prospects into Greenhouse as candidates with tags indicating source and predicted role. Recruiters use Greenhouse workflows to screen and schedule interviews, while talent ops reviews conversion metrics to refine the search parameters. Outcome-focused practice: by maintaining the sourcing context inside Greenhouse, the team shortens coordination time between sourcers and recruiters, reduces duplicated outreach, and improves the signal-to-noise ratio of candidates entering the interview process.

Common limitations and practical mitigations

• Data freshness lag If sync intervals are long, candidate status can be stale. Mitigation: increase sync frequency for high-priority roles and run manual refreshes when needed.
• False positives from inferred skills Inferred skills can suggest competencies not actually present. Mitigation: surface confidence scores and validate early through targeted screening questions.
• Overloaded outreach High-volume cadences can reduce response rates. Mitigation: stagger sequences and use response analytics to dial back underperforming templates.

How to evaluate ROI after 90 days: establish baseline metrics (time-to-source, outreach response, interviews per sourced candidate) before turning on the integration. After 90 days, compare the same metrics for Entelo-sourced candidates in Greenhouse, calculate time saved on manual entries and estimate recruiter hours redeployed to higher-value tasks such as candidate assessment. Use those values to compute a simple payback period: (annual subscription + implementation cost) ÷ (annual recruiter hours saved × average recruiter fully loaded hourly rate). This produces a quantitative view of whether the integration meets financial and operational goals.