Web Analytics

• Goal-Oriented:

  The gamut of web analytics encompasses workable organizational goals and long-term usage of website data to drive website User Experience based on the extent of reaching the closest possible to achieving the goals.

• KPIs around Content:

  Determining KPIs to measure the effectiveness of content in impacting overall web analytics. It helps state the objectives with respective call-to-actions. Examples of KPI metrics might include search click-through rate or the number of domain-driven keyword searches.

• Actionable Insights:

  Collate data from a set of tools – scrapping irrelevant or data with the help of KPI-centered methodology - to measure the success rate of real-time webpage activity for gauging user trends.

Web Analytics: Fact-Finding

With a key focus on agile practices and the growing importance of qualitative research, it is essential to measure results and initiate appropriate action based on the findings.

• A data-driven environment supports ideal decision-making. After collecting relevant data to answer questions around user goals, it is recommended to determine if there is a shortage of traffic even after running high-value website content – and look out for reasons.
• At times, large numbers can be tricky. Reports on page-views, top visited pages, and click-through rates might be relevant; but not present an exact view on the scope of conversions or translating potential leads to effective sales.
• Substantiate reports around the metrics for stakeholders – with relevant data points on areas of improvement towards accomplished success. It presents a clear-cut picture from all perspectives in addition to a presentation of facts and figures.
• It is important to communicate clearly in terms of 'grey areas. Website developers and project managers might also need to chip in with specialized consulting to elaborate on the scope (including limitations) of improving user experiences with the existing technology stack and adding value to the visitor.

Web-server logs:

Experts usually follow any of two principal methods while keeping track of requests from the webserver.

• Log-file Analysis: A conventional approach leveraging a readable and convertible data format. It can count the number of hits generated on the individual server logs. It depends entirely on server-side data collection.
• Page Tagging: Based on the number of requests originating from the user’s computer, it is tagged to the server to generate cumulative reports. It has lately transformed to script-based data collection– with cookie-based remote visitor analysis. Page Tagging also tracks scripting events efficiently.