Page Detail Analysis

The Page Detail analysis in Mapp Intelligence offers valuable insights into how visitors navigate your site, showing both the pathways they take to arrive at a page and where they go next. Understanding these paths can help you optimize the user experience, improve engagement, and increase conversions.

Ways to a Page

In Mapp Intelligence, three main types of traffic sources direct users to a page:

• Internal Traffic: This occurs when a user navigates to the page from another page within your website. By identifying which pages users view before reaching a target page, you can optimize internal links and content flow to guide users more effectively through your site.

• External Traffic: External traffic comes from referrers like search engines, social media, or other websites. This helps you understand how effective your external marketing efforts are in driving visitors to your site.

• Direct Entry: A direct entry happens when a user arrives at a page without a referrer. This could mean the user accessed the page directly by typing the URL, using a bookmark, or returning to the site after more than 30 minutes of inactivity, starting a new session. Since direct entry doesn’t have a referrer, it can represent both new and returning visitors who access the page directly via bookmarks. Understanding direct entries can provide insights into the behavior of frequent visitors or users who access your site directly.

Ways from a Page

Once a user visits a page, the Page Detail analysis tracks their follow-up actions:

• Follower Pages: These are the following pages users visit after interacting with the specific page. By identifying follow-up pages, you can understand how users move through your site and adjust your content strategy to encourage desired user paths, such as visiting key conversion pages.

• Exits: If no follower page is recorded, the session is considered an exit, meaning the user left the site after viewing the specific page. Analyzing exit points can help you identify which pages may need more engaging content or clearer calls to action, reducing drop-off and improving user retention.

Practical Use of the Page Detail Analysis

The Page Detail analysis can provide actionable insights for several use cases:

• Optimizing Conversion Paths: By understanding where users come from and where they go next, you can optimize the user journey to drive more conversions, such as leading users from product pages to checkout or from blog content to lead generation forms.

• Improving Content Performance: If certain pages have high exit rates, it may indicate that the content is not engaging enough. The analysis can help you identify these problem areas and make data-driven decisions to improve them.

• Tracking Campaign Effectiveness: For marketing campaigns, you can assess how traffic from external sources, such as ads or social media, navigates your site and whether these users follow the desired paths or exit prematurely.

By leveraging these insights, you can make data-driven improvements to your content and user experience, ensuring visitors stay engaged and follow the desired conversion paths.

Interpretation of Analysis

You can find the analysis under Navigation > Pages > Page Detail.

Example: One single Visit

The following example shows how a specific user will be represented in the analysis.

• Example visit of a user:
  

• Representation in analysis:
  

Example: Analysis Interpretation

• Ways to a page: Main Types

  
  

  Reading Example for the page "en.men.shoes"
  62 % of all Page Impressions came from another internal page, 22 % came from another website and 14 % came per direct entry.

  Differences to 100 % in sum are caused by roundings.

  
  

• Ways to a page: Preceding Pages
  
  

  Reading Example for the page "en.men.shoes"
  The page "en.home" was accessed 90,584 times before the page "en.men.shoes".

• Ways from a page
  
  

  Reading Example for the page "en.men.shoes"
  64 % of all Page Impressions accessed another page afterward, 35 % didn‘t.