Good service has always been a key factor to success. Today the costumer's perception of your company starts even before you know the costumer, namely when he first meets your web site.
Most traditional web analysis is done by analysing historic data about costumer behaviour. For optimum service more an more companies are moving into real-time web optimisation.
Unispeed Web analysis technology allows you to identify and track the costumer in real-time and respond to his needs when he clicks through your web site
More than an ordinary WEB analytics system
Unispeed netlogger gives you granular information of your costumers and how they convert through your web site. Information of each page load and components are recorded and analysed
without installing a single piece of software to your web servers nor the hassle from tagging pages you will be able to collect data for conversion analysis, campaign tracking and
costumer profiling. Netlogger will even alert your costumer relation- or network staff if your service is not responding timely.
Netlogger works without cookies eliminating
common statistical errors from users deleting these and facilitating detection of scrapers and robots harvesting the site.
Key features
Conversion rate
The conversion rate is the key element for analysing a successful advertising campaign. In addition, it shows how effective specific search engines or partner sites are.
Transition:
Discover how costumers clicks through your web site, analysing if the costumer meets your success criteria in the shortest way, where costumers tend to drop out and why.
Double coverage: Analyse the habit patterns of your costumers
Page entry: From where did the costumer enter your site, which affiliated sites or search engines are generating more costumers.
Micro optimisation: real-time analyse how changes to the web site effects sales completion and a smooth conversion through you web site
Costumer profiling: React to costumers need geographically, bandwidth, screen resolution, return rate of costumer
Availability: Alert maintenance and sales functions if server or network response time exceeds desired limits or elements fail to load before the customer is moving on to the next page (SMS, E-mail or sys log)
The EU "Cookie Directive"
The new EU "cookie directive" requires users to give “consent” for cookies to be placed in their browsers. This will evidently result in less accurate analysis delivered by systems relying solely on this method.
Unispeed web analysis engine solves this by calculating the unique user ID from a combination of IP address, arguments, agent string and cookies.
Different priorities can be assigned to each value.
Web analysis Key features
Aggregate and visualise the traffic exchanged across the Network with respect to:
- Geographic origin
- Conversion rate
- Transition
- Double coverage
- Page entry
- Costumer profiling
Benefits
- Line rate capability
- Out of Band
- Single point of failure safe
- Direct data base connectivity
Web analytics technologies
There are two main technological approaches to collecting web analytics data. The first method, log file analysis, reads the log files in which the web server records all its transactions. The second method, page tagging, uses JavaScript on each page to notify a third-party server when a page is rendered by a web browser.
A third, however not currently widely deployed method is
network package sniffing. The Netlogger collects traffic across the entire network as traffic passes by.
This method allows for analysis to be done both in house and remotely. With the analytic tools being integrated in the Netlogger, real-time analysis and aggregation is done before data is inserted into data base, greatly improving performance. Extracted web log files are generated for in depth analysis.
The Netlogger identifies the
unique user by a combination of cookie, argument, agent and IP-address. This means that errors from users deleting first and third party cookies can be almost eliminated, thus analysis can be done with or without cookies.
Page view is done without tagging the pages by tracking the unique clients behaviour, incremented for each page impression generated by unique clients. This method allows you to perform precise web analysis without degrading performance of your network.
