Job Analytics
Track, measure, and optimize your job posting performance with comprehensive analytics. Make data-driven decisions to improve your hiring outcomes.
Accessing Job Analytics
View analytics for individual jobs or get an overview of all your postings:
- Individual Job: Go to Jobs > Manage Jobs > Select Job > Analytics Tab
- All Jobs: Navigate to Reports > Job Performance
- Dashboard Widget: Add Job Analytics widget to your main dashboard
Key Performance Metrics
Visibility Metrics
Understanding Visibility Metrics:
- Total Views: Number of times your job posting was viewed (includes repeat views)
- Unique Visitors: Number of individual people who viewed your job
- Avg. Time on Page: How long candidates spend reading your job description
- Bounce Rate: Percentage of visitors who left without taking action
A time on page above 2 minutes indicates engaged readers. If yours is below 90 seconds, consider revising your job description to be more compelling.
Application Metrics
Understanding Application Metrics:
- Total Applications: Number of complete applications received
- Conversion Rate: Percentage of viewers who applied (Applications รท Views)
- Qualified Applicants: Candidates meeting minimum requirements
- Avg. Apply Time: Time taken to complete application process
Source Tracking
See where your applicants are coming from:
Understanding traffic sources helps you invest in the right channels. If LinkedIn drives quality candidates, consider promoting future jobs there.
Candidate Quality Analysis
Analyze the quality and fit of applicants:
Qualification Match
See how well applicants match your requirements:
- Exact Match: Meets all required qualifications (34%)
- Strong Match: Meets most requirements (22%)
- Partial Match: Meets some requirements (28%)
- Poor Match: Doesn't meet requirements (16%)
Experience Distribution
Breakdown of applicant experience levels:
- Entry Level (0-2 years): 18 applicants
- Mid-Level (3-5 years): 32 applicants
- Senior (6-10 years): 24 applicants
- Expert (10+ years): 10 applicants
Skills Coverage
Most common skills among applicants:
- JavaScript: 76 candidates (90%)
- React: 68 candidates (81%)
- Node.js: 52 candidates (62%)
- TypeScript: 47 candidates (56%)
- AWS: 34 candidates (40%)
Time-Based Metrics
Time to Fill
Track your hiring velocity:
- Days Since Posted: 14 days
- First Application: 3 hours after publishing
- Time to Interview: Average 6 days from application
- Time to Offer: Average 18 days from application
Application Velocity
Track application flow over time:
- Day 1-7: 42 applications (50% of total)
- Day 8-14: 28 applications (33% of total)
- Day 15+: 14 applications (17% of total)
Most applications arrive in the first week. If you're not getting sufficient applications early, consider adjusting your job title, description, or promoting the posting.
Engagement Metrics
Application Completion Rate
Track how many candidates complete your application:
- Started Applications: 127
- Completed Applications: 84
- Completion Rate: 66%
- Average Drop-off Point: Screening questions
Save Rate
How many candidates save your job for later:
- Total Saves: 156 candidates
- Save-to-Apply Rate: 42% (65 saved then applied)
Social Sharing
Track job post shares:
- LinkedIn Shares: 23
- Twitter Shares: 8
- Direct Link Copies: 47
- Email Shares: 12
Competitive Benchmarking
Compare your job's performance against similar postings:
Above Average Performance
Your job is performing 23% better than similar postings in your industry and location.
Custom Reports & Exports
Generate custom analytics reports:
Report Types
- Performance Summary: Overview of key metrics
- Applicant Demographics: Location, experience, education
- Source Attribution: Detailed traffic source analysis
- Time Analysis: Trends over time with charts
- Comparison Report: Compare multiple jobs
Export Formats
- PDF (formatted report with charts)
- Excel/CSV (raw data for analysis)
- PowerPoint (presentation-ready slides)
- JSON (API integration)
Exported reports contain aggregate data only. Individual candidate information is anonymized to protect privacy and comply with data protection regulations.
Optimization Recommendations
Hire22.ai provides AI-powered recommendations to improve job performance:
High Bounce Rate Detected
Your bounce rate is 45%, above the 35% average. Consider adding salary information or simplifying requirements to retain more visitors.
Low Qualified Applicant Rate
Only 42% of applicants meet requirements. Make qualifications clearer in the job title and description to attract better-matched candidates.
Great Application Completion Rate
Your 78% completion rate is excellent! Your application process is the right length and complexity.
Frequently Asked Questions
How often is analytics data updated?
Analytics data refreshes every hour. View and application counts update in real-time, while more complex metrics like quality scores update hourly.
Can I see analytics for closed jobs?
Yes! All historical analytics data is preserved indefinitely. Access analytics for any closed job from the Manage Jobs page.
What is a good conversion rate?
Industry average is 5-7%. Above 10% is excellent, below 3% suggests your job description or requirements may need adjustment. Rates vary by industry and role level.
How is candidate quality calculated?
Quality scores are based on how well candidates match your stated requirements (skills, experience, education) and their application completeness and thoughtfulness.