Methodology

Updated monthly. Research that goes deeper.

Data is updated every month, with more in-depth analysis of product trends, industry comparisons and growth changes.

Coverage & updates

We compile monthly referral traffic to Stripe Checkout across thousands of product domains. Historical data reveals changes over time; it is not a real-time traffic feed.

Domains are research subjects, not necessarily separate companies. Root domains and subdomains remain separate to avoid combining overlapping traffic.

How metrics are calculated

This project multiplies the monthly referral total from the top-level trend by each domain’s displayed share. This is an allocation estimate, not domain visits reported directly by the table API, transaction counts or revenue.

Monthly change is this month minus last month; growth is that change divided by last month. Calculations retain full precision. Display values are rounded to one decimal for k and two decimals for M.

Two different totals

The top-level trend total and the source table’s TotalVisits use different scopes. In July and August 2026, the former is about 29.9% and 30.1% higher respectively. Applying the same share produces the same proportional difference. Check the denominator and scope before comparing external figures.

Missing data & registration dates

Missing observations stay blank, without zero-filling or interpolation. Growth is unavailable when the previous month is missing or zero; charts leave gaps for missing months.

Registration dates come from public RDAP / WHOIS records. Subdomains use root-domain dates; unknown or inconsistent dates are excluded from age filters. Registration is not a product launch date.

Research limitations

Third-party traffic estimates can be affected by sample coverage, models and payment paths. Product descriptions use public website information. Similar products are not necessarily substitutes, and traffic growth does not establish revenue growth.