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 | @arbitrazh_vakansii_rabota | 7 | 42.9% | 14.3% | 0% | 100% | 39.00 |
| 2 | @hr_affiliate | 4 | 75% | 75% | 25% | 100% | 63.00 |
| 3 | @job_cpa | 3 | 0% | 33.3% | 0% | 100% | 29.00 |
| 4 | @works_cpa | 3 | 66.7% | 33.3% | 0% | 100% | 32.00 |
| 5 | @cpa_traffic_hr | 3 | 66.7% | 33.3% | 0% | 100% | 32.00 |
| 6 | @opento_igaming | 2 | 50% | 0% | 0% | 100% | 40.50 |
| 7 | @mediabuyers_lenkep | 2 | 50% | 0% | 0% | 100% | 30.50 |
| 8 | @arbitrage_work | 2 | 100% | 100% | 0% | 100% | 63.00 |
| 9 | @hr_b00st | 2 | 100% | 50% | 0% | 100% | 55.00 |
| 10 | @hrcpagram | 2 | 100% | 0% | 0% | 100% | 37.00 |
| 11 | @pro_vacancy | 1 | 0% | 0% | 0% | 100% | 39.00 |
| 12 | @works_affiliate | 1 | 0% | 100% | 0% | 100% | 55.00 |
| 13 | @aff_hunter | 1 | 100% | 0% | 100% | 100% | 60.00 |
| 14 | @gamblingservices | 1 | 100% | 0% | 0% | 100% | 32.00 |
| 15 | @datshragency | 0 | 0% | 0% | 0% | 0% | 0 |
| 16 | @r2bwork | 0 | 0% | 0% | 0% | 0% | 0 |
| 17 | @be01team | 0 | 0% | 0% | 0% | 0% | 0 |
| 18 | @aff_job | 0 | 0% | 0% | 0% | 0% | 0 |
| 19 | @traff_job | 0 | 0% | 0% | 0% | 0% | 0 |
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.