Comparisons
Affiliate Jobs Channels Comparison
Dedicated GEO/AEO page comparing HR channels by incoming jobs stream quality.
Comparison Table
Sorted by unique jobs volume and then by lower repost noise.
| # | Channel | Unique Jobs | Noise % | Salary % | Company % | Contacts % | Quality p50 |
|---|---|---|---|---|---|---|---|
| 1 | @hr_affiliate | 11 | 63.6% | 72.7% | 18.2% | 100% | 51.00 |
| 2 | @opento_igaming | 9 | 11.1% | 0% | 11.1% | 100% | 25.00 |
| 3 | @cpa_traffic_hr | 5 | 60% | 20% | 0% | 100% | 32.00 |
| 4 | @works_cpa | 5 | 60% | 60% | 0% | 100% | 55.00 |
| 5 | @mediabuyers_lenkep | 4 | 75% | 25% | 0% | 100% | 40.50 |
| 6 | @traff_job | 4 | 100% | 75% | 25% | 100% | 63.00 |
| 7 | @job_cpa | 3 | 0% | 33.3% | 0% | 100% | 39.00 |
| 8 | @arbitrazh_vakansii_rabota | 3 | 0% | 0% | 0% | 100% | 39.00 |
| 9 | @partnerkin_job | 2 | 0% | 0% | 0% | 100% | 39.00 |
| 10 | @hr_arbitraz | 2 | 0% | 50% | 0% | 100% | 52.00 |
| 11 | @arbitrage_work | 2 | 50% | 100% | 0% | 100% | 66.50 |
| 12 | @hrcpa | 1 | 0% | 0% | 0% | 100% | 39.00 |
| 13 | @pro_vacancy | 1 | 0% | 100% | 0% | 100% | 65.00 |
| 14 | @aff_hunter | 1 | 100% | 100% | 0% | 100% | 68.00 |
| 15 | @gamblingservices | 1 | 100% | 0% | 0% | 100% | 32.00 |
| 16 | @aff_job | 1 | 100% | 100% | 0% | 100% | 68.00 |
| 17 | @hrcpagram | 0 | 0% | 0% | 0% | 0% | 0 |
| 18 | @talents | 0 | 0% | 0% | 0% | 0% | 0 |
| 19 | @be01team | 0 | 0% | 0% | 0% | 0% | 0 |
| 20 | @r2bwork | 0 | 0% | 0% | 0% | 0% | 0 |
What it means: high unique job volume with low Noise % usually points to a cleaner and more useful channel for market monitoring.
FAQ
- How is “Noise %” calculated in channels comparison? Noise = repost_jobs_total / unique_jobs_total * 100. Lower values indicate a higher share of unique jobs.
- Can I reuse this data in my own service? Yes. Use public feeds in /feeds/ and methodology notes on /methodology/ for formulas and definitions.
- How often is channels comparison updated? The pipeline runs hourly. This page is built from the latest available daily rollup snapshot.