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Analytics for Job Boosts and Paid Promotions in PyjamaHR: How to Track, Measure, and Optimize Your Boosted Job Performance

Updated this week

Executive Summary

PyjamaHR’s Job Boost and Paid Promotion features are designed to maximize the visibility of your job postings across premium job boards, helping you attract more and better-matched candidates, faster. Understanding how to analyze the performance of your boosted jobs is crucial for optimizing your recruitment spend, improving candidate quality, and ensuring you get the most value from every promotion.


Detailed Overview

What Are Job Boosts and Paid Promotions?

Job Boosts in PyjamaHR are paid add-ons that promote your job postings on a wide network of premium job boards (e.g., LinkedIn, Monster, ZipRecruiter, Dice, Wellfound, and others). This increases your job’s visibility and reach, aiming to deliver a higher volume and better quality of applicants compared to standard postings.

  • Duration: Each boost typically lasts 14 days.

  • Pricing: $99 per boost (or ₹999 for select Indian plans); some plans (e.g., AppSumo Tier 4) include a set number of free boosts per month.

  • Coverage: Boosts are available for jobs in India and internationally (including the US and Canada).

Paid Promotions refer to any additional spend to feature your job on specific boards or channels, often as part of the Job Boost process.

Why Use Job Boosts?

  • Increase applicant volume and diversity

  • Reach passive and active candidates across multiple platforms

  • Fill urgent or hard-to-fill roles faster

  • Improve employer branding by appearing on top boards

Integration with PyjamaHR

  • Boosted jobs are managed within your PyjamaHR dashboard.

  • Analytics and candidate tracking are unified, so you can compare boosted vs. non-boosted job performance.

  • Boosts work alongside features like Resume Match, Screening Questions, and the AI Recruiter Toolkit.


Step-by-Step Guide: Tracking and Analyzing Boosted Job Performance

1. Accessing Boost Analytics

  1. Log in to PyjamaHR.

  2. Navigate to the “Jobs” dashboard.

  3. Locate boosted jobs: Look for the lightning ⚡ icon next to the job title.

  4. Click on the job title to open the job details page.

Screenshot suggestion: Highlight the ⚡ icon and job title in the Jobs list.

2. Viewing Boost Performance Metrics

  • Candidate Volume: See the total number of applicants received during the boost period.

  • Source Breakdown: View which job boards/applicant sources are delivering candidates (e.g., LinkedIn, ZipRecruiter, etc.).

  • Quality Indicators:

  • Resume Match Score: See how well applicants match your job requirements.

  • Screening Question Pass Rate: Track how many applicants pass your automated screening.

  • Rejection Rate: Monitor the percentage of applicants rejected due to poor fit.

  • Geographic Distribution: Check if candidates are from your target region (e.g., US-based for US jobs).

  • Application Trends: Track daily/weekly application rates to spot spikes or drop-offs.

Screenshot suggestion: Show the job analytics panel with candidate source and quality breakdown.

3. Comparing Boosted vs. Non-Boosted Jobs

  • Use the Comparison View to analyze candidate volume and quality across jobs.

  • Export data in CSV/Excel for deeper analysis or sharing with stakeholders.

Screenshot suggestion: Comparison View with boosted and non-boosted jobs side by side.

4. Exporting Analytics Data

  • Go to Compare Candidates > All Candidates > Data Fields.

  • Select the fields you want (e.g., source, match score, status).

  • Click Download to export as Excel/CSV.


Advanced Usage & Best Practices

Power User Tips

  • Monitor Source Quality: If most applicants come from a single board and are low quality, adjust your job description or screening questions.

  • Use Screening Questions: Add knockout questions to filter out unqualified applicants automatically.

  • Optimize Job Descriptions: Low-quality or vague descriptions can result in poor candidate matches and even job board rejections.

  • Track Regional Fit: For roles requiring local candidates, monitor the geographic breakdown and adjust targeting if needed.

  • Leverage Resume Match: Use the Resume Match feature to quickly identify top candidates from boosted jobs.

Do’s and Don’ts

Do:
- Regularly review analytics during and after the boost period.
- Adjust job requirements or descriptions if you see high rejection rates or irrelevant applicants.
- Use exported data to report ROI to management.

Don’t:
- Close and reopen boosted jobs without checking with support—this can pause or stop the boost.
- Expect boosts to auto-renew; each boost is a one-time, 14-day promotion.
- Ignore candidate feedback or trends in application quality.


Troubleshooting & Common Issues

Common Pain Points & Solutions

1. Not Receiving Enough or Relevant Applicants
- Check job description quality: Vague or incomplete postings are often rejected or underperform.
- Review screening questions: Too strict or too broad questions can filter out good candidates or let in unqualified ones.
- Verify job board coverage: Some boards may take 12–24 hours to publish; not all boards provide direct feedback or links.
- Regional mismatch: If you’re getting applicants from outside your target region, confirm your job location settings and contact support if the issue persists.

2. Boosted Job Not Showing as Boosted
- Look for the ⚡ icon next to the job.
- If missing, check your billing/subscription status and confirm payment.
- If you closed and reopened the job, the boost may have paused—contact support to reactivate.

3. No Analytics or Links from Certain Boards
- Some boards (e.g., Google Jobs, Adzuna) do not provide direct API feedback or links.
- PyjamaHR is working on more integrations, but for now, analytics may be limited to what’s available in the dashboard.

4. Duplicate or Expired Boosts
- Boosts do not auto-renew and unused credits do not roll over.
- If you accidentally close a boosted job, contact support to restore the boost.

5. Invoices and Payment Issues
- Invoices are available under Settings > Manage Subscription > Billing History.
- If payment is deducted but boost not applied, contact support with your invoice.


Comprehensive FAQ

1. How long does a job boost last?
14 days from activation.

2. How much does a job boost cost?
$99 per boost (₹999 for select Indian plans). Some plans include free monthly boosts.

3. Where will my boosted job be posted?
On a network of 20–50+ premium job boards. The full list is proprietary, but includes LinkedIn, Monster, ZipRecruiter, Dice, Wellfound, and others.

4. Can I see which boards my job is posted on?
You can see some sources in your analytics, but not all boards provide direct links or feedback.

5. How do I know if my boost is active?
Look for the ⚡ icon next to your job in the dashboard.

6. What analytics are available for boosted jobs?
Candidate volume, source breakdown, resume match scores, screening pass rates, rejection rates, and geographic distribution.

7. Can I export analytics data?
Yes, use the Compare Candidates view to export candidate data in CSV/Excel.

8. What if I close and reopen a boosted job?
The boost may pause or stop. Contact support to reactivate.

9. Why am I getting irrelevant or low-quality applicants?
Review your job description, screening questions, and salary settings. Consider making the salary visible (even if hidden from candidates) to improve board acceptance.

10. Why are my jobs not appearing on certain boards?
Some boards require high-quality, detailed job descriptions and may reject vague postings. Others may have delays or lack direct integration.

11. Do boosts auto-renew or roll over?
No, each boost is a one-time 14-day promotion. Unused credits expire at the end of the month.

12. Can I boost jobs outside India?
Yes, boosts are available for international jobs, including the US and Canada.

13. How do I check how many boosts I have left?
Go to Settings > My Plans to see your remaining boosts.

14. What should I do if I don’t receive enough applicants?
Optimize your job description, adjust screening questions, and contact support for further assistance.

15. Can I get a refund or credit if a boost underperforms?
Contact support with your job details and invoice; the team will review on a case-by-case basis.


Related Features & Next Steps

  • Resume Match: Use to quickly identify top candidates from boosted jobs.

  • Screening Questions: Automate candidate filtering for higher quality.

  • Comparison View: Analyze and export candidate data for reporting.

  • AI Recruiter Toolkit: (Upcoming) Enhanced sourcing and analytics features.

  • Billing & Subscription Management: Track invoices and boost usage.


Key Takeaways

  • Monitor your boosted job analytics regularly to maximize ROI.

  • Optimize job descriptions and screening questions for better candidate quality.

  • Contact support promptly for any issues with boosts, analytics, or payments.

  • Leverage PyjamaHR’s integrated tools for a streamlined, data-driven hiring process.


Still have questions? Reach out to PyjamaHR support or schedule a call for personalized analytics guidance.

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