Greenhouse Data Integration | Improvado
Sync Greenhouse recruitment data to your warehouse. AI agent analyzes sourcing performance, hiring funnel metrics, and cost-per-hire across all channels.
Key Takeaways How the Greenhouse integration works
Improvado connects to Greenhouse via API to extract job board performance, candidate source attribution, application funnel metrics, and recruiter activity data. All metrics are normalized through MCDM, mapping Greenhouse's data structure to a unified schema that blends with your marketing and advertising platforms. Historical data backfills on setup, then auto-refreshes on your schedule to keep hiring analytics current across all destinations.
Data objects and fields Improvado extracts from Greenhouse
| Object | Fields |
|---|---|
| Candidates | id first_name last_name email_addresses phone_numbers applications created_at updated_at |
| Applications | id candidate_id job_id status source applied_at rejected_at current_stage |
| Jobs | id name status opened_at closed_at departments offices requisition_id |
| Offers | id application_id candidate_id status starts_at created_at resolved_at |
| Scorecard | id application_id interview submitted_at overall_recommendation ratings |
From connection to autonomous action in three steps
Connect
Connect Greenhouse to Improvado using OAuth or API token authentication. The integration is read-only by default, pulling job postings, candidate sources, application stages, and recruiter activity without disrupting your existing workflows. Historical data backfills automatically, and you set the refresh schedule that fits your reporting cadence.
Ask
Ask the AI agent natural-language questions like "Which job boards have the best application-to-hire rate?" or "Show me time-to-fill by department this quarter" or "What's our cost-per-applicant from LinkedIn Ads vs. Indeed?" It queries your normalized Greenhouse data alongside advertising spend and marketing attribution from 1000+ other sources.
Act
The agent writes custom exports for weekly hiring reports, sets threshold alerts when time-to-fill exceeds targets, and monitors candidate drop-off rates at each funnel stage. It delivers insights to Slack, email, or your BI dashboard, and can trigger automated actions like pausing underperforming job board campaigns or flagging bottlenecks in your interview process.
What teams ask their AI agent about Greenhouse
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Combine Greenhouse sourcing data with LinkedIn Ads and Indeed spend for true cost-per-applicant
Your AI agent analyzes Greenhouse data and delivers actionable insights — automatically, in seconds.
Track which job boards and referral programs deliver the highest quality hires by department
Your AI agent analyzes Greenhouse data and delivers actionable insights — automatically, in seconds.
Build exec dashboards showing time-to-fill, source mix, and hiring velocity by region
Your AI agent analyzes Greenhouse data and delivers actionable insights — automatically, in seconds.
AI agent that reads Greenhouse data and takes action
Read
Improvado reads job postings, candidate sources, application stages, interview feedback, offer acceptance rates, time-to-hire, time-to-fill, recruiter activity, referral program performance, job board attribution, candidate demographics, rejection reasons, hiring pipeline velocity, scorecard ratings, custom fields, department and location tags, opening and closing dates, and application timestamps. All metrics normalize to MCDM for cross-platform analysis with advertising and marketing data.
Write
The AI agent writes enriched data back to your warehouse, creating calculated fields like cost-per-applicant (combining Greenhouse sources with ad spend), quality scores (blending interview feedback with hire outcomes), and source ROI. It exports custom reports to Google Sheets, Slack, or email on schedule, and can trigger webhooks to update downstream systems when hiring milestones are reached or thresholds are breached.
Monitor
The agent monitors application-to-interview conversion rates, time-to-fill by role and department, candidate drop-off at each stage, source performance trends, and recruiter activity levels. It sends alerts when metrics fall outside expected ranges—like a sudden spike in rejections for a specific job or a drop in referral program participation—and delivers scheduled digests summarizing hiring velocity, pipeline health, and cost efficiency across all sources.
The Improvado AI agent queries your Greenhouse data in natural language, surfacing which job postings have the lowest application-to-interview rates or which sources are driving the most hires. It writes custom exports for weekly hiring reports, sets alerts when time-to-fill exceeds targets, and monitors candidate drop-off rates at each funnel stage. No SQL or manual dashboard building required.
| Job Title | Applications | Interviews |
|---|---|---|
| Senior Software Engineer | 342 | 18.1% |
| Product Manager | 289 | 14.5% |
| Data Analyst | 267 | 22.8% |
| Account Executive | 231 | 16.9% |
| Marketing Manager | 198 | 19.7% |
Send Greenhouse data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
They extract data. Improvado deploys an agent.
Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Greenhouse as one of 1,000+ integrated sources.
| Feature | Improvado | Supermetrics | Funnel.io | Fivetran |
|---|---|---|---|---|
| Data fields extracted | 200+ | ~90 | ~120 | ~80 |
| Total integrations | 1,000+ | ~150 | ~500 | ~300 |
| Cross-channel normalization (CDM) | ✓ Built-in | ✗ Manual | ● Basic mapping | ✗ Raw only |
| AI Agent access (MCP) | ✓ Read, Write, Monitor | ✗ | ✗ | ✗ |
| Data warehouse destinations | ✓ 16+ warehouses & BI tools | Sheets, Looker, BigQuery | BigQuery, Snowflake, Redshift | ✓ Broad warehouse support |
| Refresh frequency | Every 15 min | Scheduled triggers | Daily / 6hr | Every 15 min (premium) |
| SOC 2 Type II & HIPAA | ✓ | ✗ SOC 2 only | ✓ SOC 2 | ✓ |
| Best for | Teams that want an AI agent, not a pipeline | Small teams, spreadsheets | Mid-market, data teams | Engineering-led ELT pipelines |
Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.
Frequently asked questions
What is the Greenhouse data integration?
What data can I extract from Greenhouse?
Can I combine Greenhouse data with other platforms?
Where does Greenhouse data load?
How often does Greenhouse data refresh?
Is the Greenhouse integration secure and compliant?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Greenhouse today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.