Digital Analytics : 'Less Ink, More Think'
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The document discusses the evolution of digital analytics, emphasizing the importance of understanding customer journeys through qualitative and quantitative data. It explores the impact of social media on customer behavior and highlights content marketing as a crucial strategy for attracting and retaining audience interest. Key takeaways include the continuous evolution of digital analytics, the persistent relevance of social media, and the enduring significance of content.
Digital Analytics : 'Less Ink, More Think'
- 1. Ahmad Abdullah, Insight’s Lead, LinkedIn @amd4ahmad Digital Analytics Less Ink, More Think
- 2. Data : Insights !! BRAZIL GERMANY Shots (on goal) Fouls Corner Kicks Offside Decisions Possession Yellow Cards Red Card Saves 1Goal 7Goals 18 (8) 11 7 3 52% 1 0 3 14 (10) 14 5 0 48% 0 0 7 Too much data, is it enough information ?
- 3. Digital Analytics - Definition Agenda 1 Digital Analytics : An Evolution2 Social Media Landscape3 Content Marketing4 Resources5
- 4. Digital Analytics - Definition Agenda 1 Digital Analytics : An Evolution2 Social Media Landscape3 Content Marketing4 Resources5 1
- 5. Definition
- 6. Definition - “Customer” Steps In A Customer Journey Evolution Of A Customer Journey
- 7. Definition - “Qualitative & Quantitative Data ” Demographic Behaviour Surveys
- 10. Example - Improvement ?
- 11. Digital Analytics - Definition Agenda 1 Digital Analytics : An Evolution2 Social Media Landscape3 Content Marketing4 Resources5
- 12. A Picture is worth a thousand words
- 13. A Picture is worth a thousand words 2011 2012 2013 2014 2015
- 14. A Picture is worth a thousand words
- 15. Web Analytics → Digital Analytics More advanced, working at bigger companies multi-channel attribution, social media, device usage, etc. doing Digital Analytics Working at smaller business Trying to figure out Conversion, & how to interpret Bounce Rate doing Web Analytics Digital Analyst Web Analyst Value Vs Volume Digital Analytics Rocks !!
- 16. Digital Analytics - Definition Agenda 1 Digital Analytics : An Evolution2 Social Media Landscape3 Content Marketing4 Resources5
- 17. Let’s run the numbers Source: Wearesocial.net
- 18. Let’s look a little closer 400
- 19. What does your ‘Customer’ do on social media ? Consume Content “Digital Omnivores” FB: 4.5 billion likes are generated daily G+: The +1 button is hit 5 billion times per day IG: 70 million photos and videos are sent daily PT: 88% purchase a product they pinned IN: 2 member joining every second
- 20. Social is just another channel creating value “All social channels are equal (important), but some are more equal than others “
- 21. Example : LinkedIn Company Page
- 22. Digital Analytics - Definition Agenda 1 Digital Analytics : An Evolution2 Social Media Landscape3 Content Marketing4 Resources5
- 23. Content is the reason ‘search’ began in the first place
- 24. What is Content Marketing ? Content marketing is a strategic marketing approach focused on creating and distributing valuable, relevant, and consistent content to attract and retain a clearly-defined audience — and, ultimately, to drive profitable customer action.
- 25. Examples :
- 26. Examples :
- 27. Examples :
- 28. Resources: ● Avinash Kaushik's blog: http://www.kaushik.net ● Justin Cutroni's blog: http://www.cutroni.com ● Marketing Solution blog: http://marketing.linkedin.com/blog ● Ann Handley’s website: http://www.annhandley.com ● LinkedIn Groups
- 29. Data → Insights → Story1 Takeaways ! Customers → Data → Outcome → Improve2 Digital Analytics is evolving. One has to keep learning.3 Social Media is here to stay and possibly drive the future.4 Content is still the king.5
- 30. One More Thing ...
- 31. Are You A Digital Analyst ?
- 32. Thank you!
Editor's Notes
- #2: Never has our ability to collect data been greater. We have mountains of information at our fingertips twenty-four hours a day, but data outside of its human context is meaningless—and confusing. Data requires careful analysis and interpretation so that we might better live in, experience, and interpret the world around us. And more importantly, it requires the wisdom to turn that knowledge into actions that change our behaviors, improve our lives, and solve human problems.