Percent New Users is the share of a website's total visitors who are visiting for the first time, expressed as a percentage. Tracking this metric helps you understand audience growth, campaign reach, and how effectively your site attracts new visitors versus retaining existing ones.
In one month, your website attracts 20,000 total users. Of those, 5,000 are returning users and 15,000 are new users.
Percent New Users = 15,000 / 20,000 = 75%
This means three-quarters of your audience that month had never visited your site before — a strong signal that your acquisition efforts are working.
New User Benchmarks by Sector
- Subscription Media & Publishing: 80% – 95% New Users
- E-commerce: 75% – 90% New Users
- SaaS (B2C & B2B): 60% – 85% New Users
- B2B Services & Professional Consulting: 50% – 70% New Users [1, 2]
Note: For established content websites and blogs, typical returning visitor rates range between 50% and 70%, meaning new user rates are generally on the lower end (30% – 50%).
Depending on your goals for your website, you may want to either increase Percent New Users or keep the number steady. Either way, line charts can help you instantly visualize how effectively you are regulating your Percent New Users.
How Percent New Users differs from related metrics
Website New Users is the raw count of first-time visitors — people who arrive without a stored cookie that identifies them as a returning visitor. Percent New Users expresses that count as a fraction of all unique visitors, making it easier to track proportional changes over time.
It also differs from Percent New Sessions. Sessions count visits, not visitors. A single user can generate multiple sessions in one period. Percent New Users tracks unique individuals, giving you a cleaner picture of audience composition.
Why Percent New Users matters
This metric is especially useful when running demand generation or brand awareness campaigns. A rising Percent New Users suggests your outreach is reaching people who haven't encountered your brand before. A declining percentage may indicate that your audience has plateaued or that your acquisition channels need attention.
Neither a high nor a low percentage is inherently good or bad — context matters. A content-heavy site focused on community or loyalty may expect a lower share of new users. A campaign landing page should show a high one.
Using Percent New Users alongside other behavioural metrics
Percent New Users becomes more actionable when tracked with other engagement metrics:
Bounce Rate: A high Percent New Users combined with a high bounce rate may indicate that new visitors aren't finding what they expected. This points to a messaging or targeting issue.
Average Time on Page: If new users spend significantly less time on your site than returning users, your onboarding experience or content hierarchy may need work.
Session depth and conversion rate: Comparing how new users move through your site versus returning users reveals whether your acquisition content is aligned with your conversion funnel.
Together, these metrics help you assess not just how many new people arrive, but how well your site serves them once they do.
Best practices for tracking Percent New Users
A few considerations make this metric more reliable and useful:
Define your time window consistently. New vs. returning status is cookie-based, so the same person may appear as "new" if they clear cookies or switch devices. Use consistent reporting periods to reduce noise.
Segment by channel. Organic search, paid campaigns, and social referrals will each show different Percent New Users values. Segmenting helps you evaluate which channels are best at driving new audience growth.
Pair with goal completions. Knowing what percentage of new users complete a desired action — signing up, downloading, purchasing — tells you whether your acquisition efforts are attracting the right audience.
Monitor trends, not snapshots. A single month's figure is less meaningful than the trend over several periods, especially when evaluating the impact of a campaign launch or content refresh.