Download as PDF, PPTX
Uploaded byAishwarya Saseendran
Web Analytics in 10 slides
Web analytics involves collecting and analyzing digital data about user behavior on websites and mobile apps. It is important for measuring the effectiveness of marketing campaigns and ensuring websites meet their objectives, such as increasing sales for ecommerce sites. Google Analytics is a popular web analytics tool that tracks user data through a JavaScript code added to websites. It provides visualization tools and insights about key metrics like users, sessions, pageviews, bounce rate, and exit rate, broken down by dimensions such as channels, devices, and locations.
Web Analytics in 10 slides
- 1.
- 2. What is WebAnalytics? Web analytics encompasses the collection, measurement, analysis, visualization and interpretation of digital data illustrating user behavior on websites, mobile sites and mobile applications. Visit Website/ app Collect Data Analyze Data Generate Insights & Recommendations
- 3. Why we needWeb Analytics? • Web Analytics goes hand in hand with digital Marketing • For measuring below: SEO Paid Campaigns Email marketing Content marketing • To fulfil websites objective Ecommerce object (Amazon, Flipkart) Times of India objective Make my trip objective College website objective
- 4. Web Analytics Tools GoogleAnalytics is a platform that collects data and compiles it into useful reports How to integrate Google Analytics with the Website? Google Analytics is implemented with Google Analytics Tracking Code (gtag.js), which is a snippet of Javascript code that the website owner adds to every page of the website. The tracking code runs in the client browser when the client browses the page and collects visitor data and sends it to a Google Analytics application. What is Google Analytics?
- 5.
- 6. What Google AnalyticsOffer? • Data visualization tools including a dashboard & scorecards which display changes in data over time. • Segmentation for analysis of subsets, such as conversions. • Email-based sharing and communication. • Intelligence is a ML algorithm to quickly get the insights we want. • Custom reports.
- 7. Metrics & Dimensions •Dimension: Each row of the table • Metrics : Each column of the table Metrics: Users Sessions Pageviews Bounce Exit Bounce Rate Exit Rate Pages/session Session Duration Dimensions: Channels Location Date Page Titles Gender Operating System Browsers Device Category Source/medium
- 8. Sessions A session isa group of user interactions with your website that take place within a given time frame
- 9. Metrics: Entrance, Pageviews,Bounce & Exit Page A Page B Page C Page A Page B Page A Page C User 1 Session 1 Pages Entrance Pageviews Bounces Exit Page A 2 3 1 1 Page B 1 2 0 0 Page C 0 2 0 2 Users Sessions Pageviews Bounce Rate* Exit Rate** User 1 Session 2 User 2 Session 1 *Bounce Rate = Bounces/Entries **Exit Rate= Exits/Visits Exit Exit Exit 2 3 7 33.33% 100%
- 10. Dimensions: Channels &Device Category Channels: Organic Search Social Direct Referral Paid Search Email Device Category: Mobile Desktop Tablet