Greenhouse Organic Growth Opportunities

Generate real-world total compensation benchmarks, including base, bonus, and equity, for every major role, level, and city. This provides unparalleled budget-setting and negotiation insights that no public salary site can offer.

Example Keywords

• "product designer salary + equity San Diego 2025"
• "total compensation benchmark staff data engineer Austin"
• "average on-target earnings sdr b2b SaaS NYC"

Rationale

CFOs, hiring managers, and TA leaders search these precise terms when building budgets and offer packages. Providing unique, real-world data on total compensation, especially equity, captures high-intent, bottom-funnel traffic and establishes Greenhouse as the authority on market realities.

Topical Authority

Greenhouse processes over 1 million accepted offers annually, with detailed equity and bonus data included. This creates a proprietary dataset that is more accurate and comprehensive than any survey-based competitor, giving Greenhouse undeniable authority on compensation benchmarks.

Internal Data Sources

Utilize de-identified offer packages (base, variable, equity) from the Reporting API, combined with external cost-of-living data and internal time-series trend analysis to show market velocity.

Estimated Number of Pages

7,500–10,000

Create dynamic "forecast" pages predicting the time-to-hire for specific roles in key hiring metros, updated regularly. This creative, data-driven play treats the hiring market like a weather forecast, offering unique predictability.

Example Keywords

• "time to hire forecast senior frontend developer Seattle"
• "expected hiring timeline FP&A analyst Chicago"
• "how long to fill nurse practitioner role Dallas"

Rationale

Hiring teams constantly struggle with planning and setting expectations around hiring timelines. By providing a predictive forecast, Greenhouse can attract strategic planners and TA leaders looking for a data-backed edge, a query no competitor currently answers with real data.

Topical Authority

By leveraging real-time data from its vast customer base and combining it with macro labor market signals, Greenhouse can create a predictive model that is more accurate and dynamic than any static industry report, establishing it as a forward-looking thought leader.

Internal Data Sources

Use real-time, anonymized req-open-to-offer-accepted durations from live tenants, historical seasonality curves from 5+ years of data, and external labor market indexes (e.g., BLS JOLTS) via AirOps connectors.

Estimated Number of Pages

15,000–18,000

Build a comprehensive library of role-specific interview questions and corresponding interview scorecard templates. This captures massive search volume and directly ties into Greenhouse's core product value of structured hiring.

Example Keywords

• "data analyst interview questions"
• "customer success manager interview questions"
• "behavioral interview questions for nurses"
• "interview scorecard template software engineer"

Rationale

Millions of searches occur monthly for interview questions from hiring managers and recruiters actively preparing for interviews. Providing high-quality, structured question kits with scorecard criteria positions Greenhouse as an essential resource at a critical moment in the hiring process.

Topical Authority

Greenhouse's entire platform is built around the concept of structured hiring. The domain already shows weak ranking signals for "interview scorecard," indicating Google recognizes the topical relevance. Scaling this content with deep, role-specific guides will solidify authority in this high-volume category.

Internal Data Sources

Leverage anonymized interview kit templates from the Greenhouse ATS, success metrics from Greenhouse Analytics (e.g., questions that correlate with high offer-acceptance rates), and validated question banks from integrated assessment partners.

Estimated Number of Pages

4,000–6,000

Create a massive hub of SEO-optimized job description templates for thousands of roles, segmented by seniority, industry, and work model (remote/hybrid). This strategy targets high-intent users at the very start of the hiring process.

Example Keywords

• "senior product manager job description"
• "remote software engineer job description"
• "cybersecurity analyst job description template"

Rationale

Writing a job description is often the first step in opening a new role, making searchers for these terms highly qualified potential customers. Capturing this traffic provides a direct funnel into Greenhouse's job posting and applicant tracking features.

Topical Authority

The domain has a single blog post on this topic driving minimal traffic, representing a massive expansion opportunity. With over 500,000 anonymized job posts created in the system, Greenhouse has the data to create the most relevant and effective templates on the web.

Internal Data Sources

Use a large corpus of anonymized job posts, internal DE&I language recommendation datasets, and market data on salary ranges to generate highly differentiated and valuable templates.

Estimated Number of Pages

8,000–12,000

Generate performance heat-maps that reveal the most effective hiring channels (e.g., LinkedIn, referrals, job boards) for specific roles, industries, and regions. This answers a critical strategic question for recruiting leaders with proprietary data.

Example Keywords

• "best source of hire for senior java developer"
• "where to find biotech lab technicians online"
• "linkedin vs indeed time to hire marketing manager"

Rationale

Recruiting leaders and CFOs are constantly trying to optimize recruiting spend and effort. Providing data-backed answers on where to find the best candidates for a specific role captures a strategic, high-value audience that is focused on ROI.

Topical Authority

With 1.8 billion pipeline events tagged by candidate origin, Greenhouse possesses an unrivaled dataset on channel effectiveness. This play transforms that internal data into a public-facing asset that establishes undeniable thought leadership and authority, filling a SERP void currently occupied by outdated blog posts.

Internal Data Sources

Utilize source-tag fields combined with stage-conversion and acceptance rates, integrated job board spend data, and NLP clustering of "how did you hear about us" survey responses.

Estimated Number of Pages

2,000–3,000

Improvements Summary

Revamp and expand bottom-funnel pages targeting high-intent keywords like 'Greenhouse pricing' and 'ATS ROI' with transparent pricing details, calculators, and comparison guides. Add new supporting content, structured data, and internal links to capture more qualified traffic and improve rankings.

Improvements Details

Key tasks include updating /pricing with exact-match H1s, tiered pricing sections, a dynamic price estimator, and FAQ schema; expanding /roi-with-greenhouse into a full ROI calculator and lead magnet; optimizing /early-stage for SMB keywords; and launching new comparison and pricing guide pages. Internal linking from high-authority pages and use of Product, Offer, FAQPage, and Review schema are prioritized. Targeted keywords include 'greenhouse pricing', 'applicant tracking system pricing', and 'Greenhouse vs Lever pricing'.

Improvements Rationale

These improvements address underperformance on high-value, high-intent keywords that currently rank on page 2, aiming to increase CTR and move them into top positions. Transparent pricing, calculators, and comparison content directly answer user queries and align with search intent, while structured data and internal links improve SERP visibility and authority flow. The strategy is designed to drive more qualified leads and conversions from high-intent organic traffic.