Entelo to Greenhouse Integration Guide: One-Click Transfers, Field Mapping, Deduplication & ROI

Entelo’s integration with Greenhouse connects an AI-powered sourcing platform to a leading applicant tracking system, letting recruiting teams move qualified profiles from discovery into workflow automation without manual re-entry. This reduces duplicate work, preserves candidate data and activity history, and aligns outbound sourcing with hiring pipelines. This article explains what the integration actually does, which recruiting teams benefit most, measurable advantages, implementation steps, and practical best practices to get value quickly while avoiding common pitfalls.

What the Entelo–Greenhouse integration does (core capabilities)

• One-click candidate push Send profiles sourced in Entelo directly into Greenhouse as candidates or prospects, preserving resume, enrichment data, sourcing notes and activity timestamps.
• Automated field mapping Map Entelo fields (title, location, contact details, source tags, score) to Greenhouse candidate fields to maintain consistent data structure and reporting.
• Deduplication and identity resolution Prevent duplicate candidate records by checking existing Greenhouse profiles before import, reducing clutter and repeated outreach.
• Activity and outreach sync Mirror outreach attempts and engagement history so sourcers and recruiters see past touchpoints in the ATS and avoid repetitive messages.
• Bulk import and batching Move multiple candidates into Greenhouse in batches, useful for targeted campaigns, pipelining, or closing critical roles quickly.

Who benefits most from integrating Entelo with Greenhouse

• High-volume technical recruiting teams Teams sourcing for multiple engineering, product and data roles concurrently see the biggest time savings from automated import and dedupe.
• Enterprise talent acquisition teams Organizations juggling dozens of open requisitions gain standardized data and centralized reporting when outbound sourcing is routed through the ATS.
• Recruiting operations and analytics owners Staff responsible for pipeline metrics and compliance benefit from consistent source attribution and audit trails.
• Sourcers and recruiters focused on passive talent When outbound outreach is the primary strategy, preserving outreach history and candidate context in Greenhouse reduces rework.

Key technical features to confirm before enabling the integration include API key management, user permission requirements, field mapping configuration, and cadence options (real-time vs scheduled syncs). Confirm whether Entelo enriches contact data during the push and how those enrichment updates propagate back into Greenhouse. Also check logging and error reporting for failed imports so you can resolve issues quickly.

Manual sourcing vs Entelo + Greenhouse integrated workflow

Implementation checklist (practical steps)

• Confirm admin access Ensure admins in both Entelo and Greenhouse can create API keys and adjust integration settings.
• Define field mapping Work with recruiting ops to decide which Entelo fields map to Greenhouse candidate fields and custom fields.
• Decide sync cadence Choose whether to push candidates in real time or in scheduled batches based on team workflow.
• Set dedupe rules Establish thresholds and match criteria (email, name + company) to avoid duplicates.
• Pilot with a small team Start with a single hiring team and a few roles to validate mappings and fix issues before org-wide rollout.
• Train users and document Provide quick reference guides that show the push flow, where to find synced activity, and how to resolve conflicts.

Typical integration setup steps mapped to Greenhouse settings

Metrics to track after enabling the integration include sourcing hours saved, number of candidates moved into Greenhouse from Entelo, candidate response rates, time-to-first-contact, pipeline conversion rates, and time-to-interview. Start with baseline measurements for a few roles (sourcing hours per role, number of qualified candidates per week) and compare at 30, 60 and 90 days to quantify the incremental impact.

ROI calculation (simple model you can run quickly)

• Baseline inputs Average recruiter sourcing time per role (use 13 hours/week per role as an industry average), average hourly cost of recruiter, number of roles per recruiter.
• Estimate time savings Estimate percentage of sourcing automated by Entelo (e.g., 30–60%) and multiply by baseline hours to get hours saved.
• Convert to cost Multiply hours saved by recruiter hourly rate to get direct labor savings; add improved conversion (fewer reopenings) where applicable.
• Example If a recruiter spends 13 hours/week per role and integration saves 40% of sourcing time, that’s 5.2 hours/week saved. At $40/hr that’s $208/week per role in recruiter time reclaimed.

Best practices to maximize value

• Standardize tags and naming conventions Consistent naming for campaigns and sources improves reporting and prevents fragmented analytics.
• Use staged pilots Run the integration for one hiring function first, incorporate feedback, then expand.
• Train on dedupe resolution Teach sourcers how to resolve near-matches in Greenhouse so duplicates don’t slip through over time.
• Monitor enrichment rules Decide which enrichment fields are essential—excessive enrichment can overwrite curated data or create noise.
• Align sourcer–recruiter handoffs Document when a prospect becomes an active candidate and the expected next steps inside Greenhouse.

Security, privacy and compliance considerations are central when moving candidate data between systems. Confirm that API communications are encrypted, that both platforms meet relevant standards (e.g., SOC 2 where applicable), and set role-based access so only authorized users can push or edit candidate records. If you operate under data protection regulations, document the legal basis for storing candidate data and retention periods across both systems.

Common pitfalls and how to avoid them

• Mismatched fields Avoid dropping important data by auditing mapping before bulk imports; include fallback fields for unexpected data.
• Over-enrichment Limit automatic overwrites from enrichment services; preserve original resume and manual notes.
• Insufficient permissions Test with a user that mirrors production permissions so imports succeed when rolled out.
• Lack of monitoring Set up error alerts and weekly checks to catch failed imports or increases in duplicates early.

FAQs about the Entelo–Greenhouse integration

Practical rollout example: start by measuring sourcing hours and candidate flow for two roles for two weeks, enable a pilot integration with a single sourcer, validate mappings and dedupe rules, then expand to the full team. Track time saved and pipeline changes, and update internal SLAs (e.g., time-to-first-contact) once the integration consistently improves those metrics.

When this integration might not be the best fit

• Very low-volume recruiting Teams hiring only a few roles per year may not recoup the initial setup effort.
• Strictly inbound hiring models If your program relies almost entirely on inbound applicants and not on active sourcing, the benefits are limited.
• Legacy systems without API support If Greenhouse or Entelo access is restricted by legacy account arrangements or lack of API permissions, integration may require additional admin work.