Page views

• Page views: Total page loads, including repeat loads by the same person.
• Sessions: A group of interactions by one visitor in a single visit.
• Unique visitors: Distinct people or devices, counted once in a period.
• Pageviews per session: Average pages viewed per visit, a rough sign of depth.

Trends are more useful than totals. A rising count on a pricing or comparison page often signals buying interest. A rising count on a top-of-funnel blog post signals reach.

Compare page views by page type. Say a guide gets many views but few clicks to a demo page. That suggests the content attracts readers but its next step is weak.

Combine page views with account identification so you can see which target accounts visit high-intent pages. A handful of views on pricing from one account matters more than hundreds of anonymous blog views.

Use views to pick what to refresh. Pages with steady traffic and low conversion are the best candidates for a clearer offer.

• Chasing volume: More views from the wrong audience adds cost, not pipeline.
• Ignoring bots: Automated traffic can inflate counts; filter it in your analytics tool.
• Comparing across tools: Each tool defines and filters views differently.
• No connection to outcomes: Always pair views with conversions, such as form fills or demo requests.

Segment before you judge. Split views by source, device, and page type, and exclude your own team and known bots. A traffic spike from one social post tells a different story than steady growth from search.

Pair each key page with one outcome. A pricing page should be judged by demo requests, a guide by email signups. If views rise and outcomes stay flat, test the page rather than celebrating the traffic. Review the trend monthly instead of daily to avoid reacting to noise.