Traffic is the amount of data sent and received by visitors to a website. Normally, website owners measure the traffic that they receive to see which parts or pages of their site are popular and if there are any apparent trends, such as one specific page being viewed mostly by visitors. In eDirectory, there are two types of traffic being monitored. These are the following:

Overall traffic (for Site Manager)

This is the traffic that the directory front receives as a whole. One suggested method to measure and analyze this traffic is by using the Google Analytics. (To know more about Google Analytics, click here)

The following are the information that you will be dealing with when monitoring overall traffic (Source: en.wikipedia.org):

• The number of visitors
• The average number of page views per visitor – a high number would indicate that the average visitors go deep inside the directory site, possibly because they like it or find it useful.
• Average visit duration – the total length of a user’s visit. The more time they spend the more they’re interested in your site.
• Average page duration – how long a page is viewed for. The more pages viewed, the better it is for your company.
• Domain classes – all levels of the IP Addressing information required to deliver web pages and content.
• Busy times – the most popular viewing time of the site would show when would be the best time to do promotional campaigns and when would be the most ideal to perform maintenance
• Most requested pages – the most popular pages
• Most requested entry pages – the entry page is the first page viewed by a visitor and shows which pages are most attracting to visitors
• Most requested exit pages – the most requested exit pages could help find bad pages, broken links or the exit pages may have a popular external link
• Top paths – a path is the sequence of pages viewed by visitors from entry to exit. With the top paths, you can identify the way most visitors go through the site
• Referrers - the host can track the (apparent) source of the links and determine which sites are generating the most traffic for a particular page.

Specific Traffic (for Members)

This is the traffic that an item in the directory front receives. eDirectory application automatically measures this traffic to give the Members an idea on how their items are performing in the site. It presents the gathered data in a form of a report. This report can be viewed both in Site Manager and Member accounts.

The following are the information that you will be dealing with when monitoring specific traffic:

• Summary hits –the number of times that the Summary View of a listing, event, classified, or article is viewed. A high number would indicate that the item is searched and browsed frequently.
• Detail hits – the number of times that the Detail View of a listing, event, classified, or article is viewed. The more details hits, the more you become prone to contact.
• ClickThru (for listing traffic) – the number of times that the Display URL link (e.g., w: http://www.realestatesample.com) in the Detail View of a listing is clicked.
• ClickThru (for banner traffic) – the number of times that a banner is clicked.
• Views (for banner traffic) – the number of times that a banner is displayed in the directory front.
• E-mail hits – the number of times you are contacted by the use of the e-mail form in the Detail View a listing.
• Phone hits – the number of times that the Phone link (e.g., t: view phone) in the Detail View of a listing is clicked.
• Fax hits – the number of times that the Fax link (e.g., f: view fax) in the Detail View of a listing is clicked.

A hit is the retrieval of any page or data from a Web server. For example, when a visitor calls up a Phone data, that’s one hit.

To view the specific traffic reports, do the following:

1. In the left navigation panel, click on any item type (Listings, Events, Classifieds, Banners, or Articles) under Modules. After doing this, a page will appear like the one shown below:

   

2. Click on the icon of the corresponding item. After doing this, a page will appear like the one shown below:

   
   
   Read the discussion above to understand what the graph in this page manifests.