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Post on 14-Nov-2014

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The presentation discusses the platform's unique features.

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  • 1. > Google Analy,cs < The last 20% of features that drive 80% of the pla5orm value

2. > Short but sharp history Datalicious was founded late 2007 Strong Omniture web analyAcs history Now 360 data agency with specialist team CombinaAon of analysts and developers Carefully selected best of breed partners Evangelizing smart data driven markeAng Making data accessible and acAonable Driving industry best pracAce (ADMA) October 2010 Datalicious Pty Ltd 2 3. > Smart data driven marke,ng Media A=ribu,on Op,mise channel mix Targe,ng Increase relevance Tes,ng Improve usability $$$ October 2010 Datalicious Pty Ltd 3 4. > Clients across all industries October 2010 Datalicious Pty Ltd 4 5. > The last 20% of features Standardised metrics Benchmark and compare performance across Ame to isolate trends and generate insights Calendar of events Capture key events to provide context Custom segmentaAon Not all visitors are the same and custom segmentaAon can reveal crucial insights Full path to purchase Last click gets all the credit model is inaccurate, record full purchase path across all channels October 2010 Datalicious Pty Ltd 5 6. > AIDA and AIDAS formulas Old media New media Awareness Interest Desire Ac,on Sa,sfac,on Social media October 2010 Datalicious Pty Ltd 6 7. > Simplied AIDAS funnel Simplied AIDAS funnel as basic metric framework Reach Engagement Conversion +Buzz (Awareness) 40% (Interest & Desire) 10% (AcAon) 1% (SaAsfacAon) Google provides standardised engagement metrics October 2010 Datalicious Pty Ltd 7 8. Pages per visit Time on site October 2010 Datalicious Pty Ltd 8 9. Custom conversion goals October 2010 Datalicious Pty Ltd 9 10. Calendar events October 2010 Datalicious Pty Ltd 10 11. > Custom segmenta,on Brand vs. direct response campaign Reach Engagement Conversion +Buzz (Awareness) 40% (Interest & Desire) 10% (AcAon) 1% (SaAsfacAon) New prospects vs. exisAng customers October 2010 Datalicious Pty Ltd 11 12. New vs. returning visitors October 2010 Datalicious Pty Ltd 12 13. AU/NZ vs. rest of world October 2010 Datalicious Pty Ltd 13 14. Prospect vs. customer High vs. low value Product anity Post code, age, sex, etc October 2010 Datalicious Pty Ltd 14 15. > De-duplica,on across channels Paid Bid Search Mgmt $ Banner Ad Ads Server $ Central Analy,cs Plaorm Email Email Blast Plaorm $ Organic Google Search Analy,cs $ October 2010 Datalicious Pty Ltd 15 16. > Success a=ribu,on models Banner Paid Organic Success Last channel Search Ad Search $100 $100 gets all credit Banner Paid Email Success First channel Ad $100 Search Blast $100 gets all credit Paid Banner Aliate Success All channels get Search Ad Referral $100 $100 $100 $100 equal credit Print Social Paid Success All channels get Ad Media Search $33 $33 $33 $100 par,al credit October 2010 Datalicious Pty Ltd 16 17. > Full path to purchase Introducer Inuencer Inuencer Closer $ SEM Banner Direct SEO Generic Click Visit Branded $ Banner SEO Aliate Social View Generic Click Media $ TV SEO Direct Email Abandon Ad Branded Visit Update October 2010 Datalicious Pty Ltd 17 18. > Search call to ac,on for oine October 2010 Datalicious Pty Ltd 18 19. > Understanding channel overlap Read more on our blog at h=p://goo.gl/Tpqf October 2010 Datalicious Pty Ltd 19 20. > The last 20% of features Standardised metrics Benchmark and compare performance across Ame to isolate trends and generate insights Calendar of events Capture key events to provide context Custom segmentaAon Not all visitors are the same and custom segmentaAon can reveal crucial insights Full path to purchase Last click gets all the credit model is inaccurate, record full purchase path across all channels October 2010 Datalicious Pty Ltd 20 21. Contact us cbartens@datalicious.com Learn more blog.datalicious.com Follow us twi=er.com/datalicious October 2010 Datalicious Pty Ltd 21 22. Data > Insights > Ac,on

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