Experimental project · Data source: CZ.NIC · Non-commercial

cz.w8.cz

Exploring data behind the .cz domain ecosystem

REG-UN-DOMAINS

Registrar profile focusing on retention (domain_renew), acquisition/onboarding (contact_create), and migration (transfers). All calculations are anchored to the selected date range.

Registrar ID: REG-UN-DOMAINS Range: 2025-11-152025-12-15 Window: 30 days Ranking
30d 90d 182d 365d
Domains (start → end)
2 523 → 2 515
ΔDomains: -8 · Market share (end): 0,166%
Retention (window)
174
Renewals / 1k avg domains: 69,02 (avg base: 2 521)
Retention vs last-year base
2 595
Avg domains (t−1y window) · Renewals / 1k prev-year avg: 67,04
Acquisition & interest
36
contact_create · domain_create: 6 · contact/domain_create: 600,0%
Migration & organic growth
-2
Net transfers (gain−loss) · Organic growth ≈ ΔDomains − net transfers: -6

Interpretation notes

domain_renew is treated as the strongest observable proxy for retention (customers paying to keep domains). domain_create is interpreted as attempts/interest rather than confirmed purchases. Transfer flows are used to decompose domain base changes: ΔDomains ≈ organic_growth + net_transfers, where organic_growth ≈ ΔDomains − net_transfers.

Domains over time

Absolute daily domain count attributed to the registrar (stock variable from daily_stats). Step changes often indicate portfolio migration or acquisition.

Market share over time

Daily market share (%) = registrar domains / total .cz domains. Normalizes out overall market growth.

Retention signal: domain_renew (daily)

Daily renewal operations (flow). Aggregates to window totals and supports renewal-intensity comparisons.

Acquisition vs interest (daily): contact_create vs domain_create

contact_create approximates onboarding/new customer objects; domain_create captures attempts/interest. Ratios may exceed 100% due to decoupling (pre-created contacts, reuse, API workflows).

Transfers: gain / loss / net

Migration signal based on registrar-to-registrar moves. Loss is negative; net = gain − loss.

Daily change (first difference): ΔDomains(t)

ΔDomains(t) = Domains(t) − Domains(t−1). Highlights shocks, step changes, and high-volatility periods.

Monthly renewal share vs last-year domain base (100% stacked)

For each month, we compare domain_renew to the registrar’s average domain base in the same calendar month one year earlier. The stacked view estimates “renewed” vs “not renewed” share relative to that last-year base (capped at base for visualization). Important: this does not account for multi-year renewals (renewing for multiple years reduces observable renewal operations later), therefore this is a comparative proxy, not a true renewal rate.

Monthly: Renewals / last-year base (%)

Renewal intensity expressed as percent of last-year monthly base: 100 × domain_renew_month / avg(domains_month_(t−1y)). Can exceed 100% due to operational effects (including multi-year renewals and data decoupling).

Transfer counterparties (competitor matrix)

Competitor Incoming Outgoing Net
REG-MARKMONITOR 0 1 -1
REG-INTERNETX 3 2 +1
REG-INWX 0 1 -1
REG-OPENPROVIDER 0 1 -1
REG-KEYSYSTEMS 0 1 -1
Webglobe 1 0 +1

Aggregated registrar-to-registrar transfer flows within the selected window. Positive net indicates dominance of inflow from that competitor; negative indicates outflow.