Average Visit Duration

Average Visit Duration. What is this metric? . The Average Visit Duration metric measures the average amount of time a customer spends on a brand’s site in seconds, from the time the customer arrives…

Average Visit Duration

What is this metric? 

The Average Visit Duration metric measures the average amount of time a customer spends on a brand’s site in seconds, from the time the customer arrives on the site to the time they depart. 

How is this metric calculated? 

BlueOcean takes customer-provided brand URLs and creates an average of each provider's estimated time on site in seconds for each URL. 

Note: This metric only captures visits from the US region at the domain and subdomain levels (where available).  

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from: 

  • Semrush 
  • SimilarWeb

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand? 

The Average Visit Duration metric is a valuable resource for:

  • User Engagement Assessment: Average website visit duration is an indicator of how engaged visitors are with a brand's website. Brands can assess whether visitors spend sufficient time on their sites to engage with content and offerings.
  • Operational Benchmarking: Brands can understand site traffic month-over-month and benchmark performance, helping to understand fluctuations and trends in engagement with a brand's website.
  • Content Relevance: Longer visit durations often suggest visitors find the website's content relevant and engaging. Brands can use this data to gauge the effectiveness of their content in holding visitors' interest.
  • User Experience: A longer visit duration may indicate a positive user experience, including easy navigation and compelling design. Brands can use this information to improve the website's user interface and experience.
  • Competitive Analysis: Comparing visit duration with competitors helps brands assess their website's performance relative to others in the same market. Brands with longer visit durations may have a competitive advantage in user engagement.
  • SEO Performance: When ranking websites, Google and other search engines consider user engagement metrics, including visit duration. Brands can use this data to improve their SEO efforts and search engine visibility.

Additional considerations where this metric can play a role: 

  • Conversion Optimization: Brands can analyze visit duration data to understand which pages or content are most engaging. This information can be used to optimize conversion strategies and lead visitors toward desired actions, such as making a purchase or filling out a contact form.
  • Content Strategy: Brands can use visit duration data to refine their content strategy. If specific content or pages have significantly shorter visit durations, it may indicate areas for improvement or content that needs adjustment.
  • Audience Insights: Understanding how long visitors spend on the website can provide insights into their behavior and preferences. Brands can tailor their content and offerings to better match visitor expectations.
  • Mobile Optimization: Brands can assess whether visit durations differ between desktop and mobile users. This data can inform mobile optimization efforts to ensure a positive experience for all visitors.
  • Marketing Campaign Assessment: Visit duration data can help evaluate the effectiveness of marketing campaigns. Brands can assess whether campaign landing pages are successful in keeping visitors engaged.
  • Ad Campaign ROI: Brands running online advertising campaigns can assess the ROI by analyzing visit duration on landing pages. Longer visit durations may indicate a more successful ad campaign.
  • User Journey Analysis: Brands can analyze the user journey through the website by tracking visit duration on different pages. This information can help identify potential drop-off points and areas for optimization.

How did we do?

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