Does the premium pricing tier ($640 / $160 / $5 per year) actually filter for long-term holders, or just create churn?
Snapshot taken 2026-11-01T02:58:49.206Z
The eligible n is shown per cell. Each column has a different population, so reading horizontally compares retention rates on different cohort sets
| Length | Total registered | 12m retention | 24m retention | 36m retention | 48m retention | 60m retention |
|---|---|---|---|---|---|---|
| 3 chars | 50,054 | 41.5%n=50,030 | 20.8%n=49,972 | 15.1%n=49,876 | 10.7%n=49,587 | 30.8%n=8,424 |
| 4 chars | 113,534 | 54.8%n=113,307 | 30.7%n=112,688 | 23.6%n=111,866 | 15.3%n=109,281 | 40.5%n=14,506 |
| 5 chars | 480,622 | 85.0%n=478,295 | 53.0%n=470,367 | 40.3%n=452,917 | 26.1%n=420,741 | 75.8%n=36,791 |
| 6–9 chars | 1,572,278 | 89.5%n=1,556,683 | 52.8%n=1,505,007 | 39.6%n=1,397,686 | 30.5%n=1,218,911 | 67.4%n=168,572 |
| 10+ chars | 1,177,959 | 94.0%n=1,159,100 | 56.6%n=1,110,382 | 41.6%n=1,024,451 | 31.9%n=863,720 | 57.6%n=126,635 |
Each cell is the share of names still held at the start of the period that had lapsed by the end.
Each column restricts to domains old enough to be fully evaluated for that period.
| Length | 0m → 12m | 12m → 24m | 24m → 36m | 36m → 48m | 48m → 60m |
|---|---|---|---|---|---|
| 3 chars | 58.5% lapsed29,272 of 50,030 eligible | 49.9% lapsed10,335 of 49,972 eligible | 27.3% lapsed2,835 of 49,876 eligible | 29.1% lapsed2,187 of 49,587 eligible | 31.3% lapsed1,181 of 8,424 eligible |
| 4 chars | 45.2% lapsed51,250 of 113,307 eligible | 43.8% lapsed27,006 of 112,688 eligible | 23.1% lapsed7,932 of 111,866 eligible | 35.8% lapsed9,335 of 109,281 eligible | 26.3% lapsed2,090 of 14,506 eligible |
| 5 chars | 15.0% lapsed71,867 of 478,295 eligible | 37.5% lapsed149,592 of 470,367 eligible | 24.4% lapsed58,882 of 452,917 eligible | 36.7% lapsed63,499 of 420,741 eligible | 9.1% lapsed2,780 of 36,791 eligible |
| 6–9 chars | 10.5% lapsed163,136 of 1,556,683 eligible | 40.9% lapsed550,092 of 1,505,007 eligible | 26.0% lapsed194,829 of 1,397,686 eligible | 25.3% lapsed125,813 of 1,218,911 eligible | 10.7% lapsed13,572 of 168,572 eligible |
| 10+ chars | 6.0% lapsed69,691 of 1,159,100 eligible | 39.8% lapsed416,279 of 1,110,382 eligible | 28.0% lapsed165,828 of 1,024,451 eligible | 27.1% lapsed102,199 of 863,720 eligible | 12.9% lapsed10,794 of 126,635 eligible |
Each column has a different eligible population - names ≥ T+P months old at snapshot time. The n eligible figure shows how many qualified. Reading horizontally compares periods within the same bucket but on different populations; for example, the 48 → 60m column uses only the ~2k 3-char names registered before 2021, while the 0 → 12m column uses essentially all 50k. Don't treat survivors at the start of period N as the same set as those at the start of period N+1.