Go Mobile Or Go Web?

Digital Vidya
May. 11, 2015

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Go Mobile Or Go Web?

  1. Digital Marketing Webinar Go Mobile Or Go Web? May 8, 2015 | Kunal Mehta (Lead Trainer at Digital Vidya)
  2. Web Analytics 2.0 An Introduction
  3. “Web Analytics is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage.”
  4. Clothing Store
  5. Analytics
  6. Web Analytics • Data accumulation • Get user profile • Get customer behavior • Get site vitals • Provide actionable inferences • Provide data to drive decisions No Analytics
  7. Common Metrics It could be a count of number of times a milestone has occurred on site. •Visitors •Visits •Conversions •Page Views •Page Views per Visit •Time on Site •Returning Customers •Bounce Rate •Newsletter signup •App Launch
  8. Adobe Analytics (Omniture)
  9. Adobe Analytics – User IDs
  10. Adobe Analytics – Orders
  11. Segments Inbuilt segments Custom Segments
  12. Funnel
  13. User profiles Data captured helps us identify their personas by assessing their behaviors and patterns.
  14. Analytics Tools
  15. A/B Testing A/B testing is a simple way to test changes to your page against the current design and determine which ones produce positive results. It is a method to validate that any new design or change to an element on your webpage is improving your conversion rate before you make that change to your site code.
  16. It offers real-time personalization of all content for each individual visitor as they are going through the site and in context. 1:1 Targeting
  17. Predictive Analytics Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Applications: •Which marketing effort would a customer respond to? •Which customers are more likely to buy? •Which customers are more likely to miss their mortgage payments? •Credit Scores •Who is more likely to get into accidents? •Predicting market ups and downs by reading sentiments through blogs. •Recommendations engine • Completely Based on PA • Customer Lifetime Value • Customer Profiles
  18. Results
  19. Best Practices • Track everything and get solid data • Update and optimize consistently • Good understanding of business requirements • Good documentation • Trust not only Lift, but also Confidence • Always test changes before they go live. • Early involvement • Fire code towards the end of the page • Do not capture PII
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  21. Join upcoming Digital Marketing Webinar live!
  22. Join upcoming Digital Marketing Webinar live!