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Domain portfolio STR calculator

Compute your annualised sell-through rate. Three numbers — sold, listed, average portfolio age — and you'll see where you land against industry benchmarks.

Formula

STR = (Domains Sold ÷ Domains Listed) × (365 ÷ Avg Portfolio Age)

In the period you're measuring

Total inventory at start of period

Mean days each domain has been held

All numbers stay in your browser. Nothing is uploaded or stored.

How to use this

Fill the three fields above — STR is annualised automatically.

01

Domains sold

How many names you sold in the period. If you're measuring the past year, count last 12 months.

02

Domains listed

The size of your active portfolio at the start of the period (or its rolling average if it grew steadily).

03

Avg portfolio age

Mean age of every domain in days. The annualisation factor lets short-window numbers be compared to industry annual rates.

Industry benchmark: 1–3% is acceptable, 3–5% good, 5%+excellent. We'll show where you land as you type.

Frequently asked

What is sell-through rate (STR) for a domain portfolio?+

STR is the percentage of your portfolio that sells in a given period, annualised so it can be compared across portfolios of different ages. The formula is (Sold ÷ Listed) × (365 ÷ Average Portfolio Age in days).

What's a good STR for a domain investor?+

1-3% is acceptable for established portfolios, 3-5% is good, 5-10% is excellent, and 10%+ is outstanding — usually only seen on tightly curated niche-focused portfolios.

Why annualise instead of just using sold ÷ listed?+

Raw STR depends on how long you've held inventory. Annualising by (365 ÷ avg age) lets a 6-month-old portfolio be compared fairly to a 5-year-old one. Industry benchmarks are always quoted annualised.

Where do I get the 'average portfolio age'?+

Take the date each domain was acquired, subtract from today, average across the whole portfolio. Most registrar exports include acquisition date. If your portfolio grew steadily, half of (today minus the oldest acq date) is a fast approximation.