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.
SOC 2 Type II 1,000+ data sources Any warehouse or BI tool
A
Improvado Agent
Connected to Greenhouse
Which candidate sources have the lowest cost-per-hire for engineering roles in Q1?
LinkedIn Referrals delivered the lowest cost-per-hire at $1,240, followed by Employee Referrals at $1,580. Indeed Sponsored posts came in at $3,120, and LinkedIn Ads at $4,890. Engineering roles had 47 total hires across these sources.
Show me application-to-interview conversion rates for those same sources.
LinkedIn Referrals converted at 28%, Employee Referrals at 31%, Indeed Sponsored at 12%, and LinkedIn Ads at 9%. Employee Referrals had the highest quality despite slightly higher cost-per-hire.
Trusted by data-driven teams
1,000+
Integrations
200+
Greenhouse Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
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.
200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Greenhouse API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Greenhouse through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details
Greenhouse Harvest API · API key · hourly · incremental
Schema Overview
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 |
How it works
From connection to autonomous action in three steps
1
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.
2
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.
3
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.
Use Cases
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.
A
Improvado Agent Analysis 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.
6 hrs → 10 min
A
Improvado Agent Cross-channel 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.
5 hrs → 8 min
A
Improvado Agent Reporting 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.
8 hrs → 12 min
AI Agent Access
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.
Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Greenhouse
You
Show me top 5 job postings by application volume last month
A
Top Job Postings by Applications — March 2024
| 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% |
Data synced from Greenhouse 2 hours ago
You
Alert me if any job posting drops below 10% conversion rate
A
Report exported
5 items · sent to Slack
Destinations
Send Greenhouse data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
- SOC 2 Type II
- Certified Security
- HIPAA
- Health Data Privacy
- GDPR
- EU Data Protection
- CCPA
- CA Privacy Standard
Compare
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.
FAQ
Frequently asked questions
What is the Greenhouse data integration?
The Greenhouse integration connects your applicant tracking system to Improvado's marketing data platform, extracting recruitment and sourcing metrics into your data warehouse or BI tool. It pulls job performance, candidate source attribution, application funnel stages, and recruiter activity so you can analyze hiring efficiency alongside paid advertising and marketing campaigns. Setup is no-code, using OAuth or API token authentication.
What data can I extract from Greenhouse?
Improvado extracts job postings, candidate sources, application stages, interview feedback, offer acceptance rates, time-to-hire, time-to-fill, recruiter activity, referral program performance, and job board attribution. You also get candidate demographics, rejection reasons, hiring pipeline velocity, and cost-per-hire when combined with ad spend from other platforms. All fields are normalized to MCDM for cross-platform analysis.
Can I combine Greenhouse data with other platforms?
Yes. Improvado normalizes Greenhouse data through MCDM alongside 1000+ marketing, advertising, and analytics connectors. You can join candidate source data with LinkedIn Ads spend, Indeed job board costs, Google Analytics traffic, and CRM data to calculate true cost-per-applicant and ROI by channel. Everything loads into a single warehouse or BI destination.
Where does Greenhouse data load?
Improvado loads Greenhouse data into BigQuery, Snowflake, Redshift, Azure Synapse, Databricks, PostgreSQL, and MySQL. You can also send it directly to Tableau, Power BI, Looker, Sigma, or Google Sheets. The AI agent queries data in any of these destinations and delivers insights via Slack, email, or your BI tool.
How often does Greenhouse data refresh?
You set the refresh cadence—hourly, daily, or weekly—based on your reporting needs. Improvado backfills historical data on initial setup, then auto-syncs new candidate activity, job postings, and application stages on schedule. The AI agent monitors data freshness and alerts you if syncs fail or data looks anomalous.
Is the Greenhouse integration secure and compliant?
Yes. Improvado is SOC 2 Type II, HIPAA, and GDPR compliant, with all credentials stored in an encrypted vault. API connections are read-only by default to protect your Greenhouse environment, and data transfers use TLS encryption. You control access permissions and can revoke integration tokens at any time from the Improvado dashboard.
Customer stories
See all customer stories →
“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”
Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS
“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.”
Marc CerniglioInsights & Automation Manager, Chacka Marketing
Put an AI agent on your Greenhouse today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.