As Multi-Channel and Custom Data tracking become more important, branding & customer loyalty are increasingly measurable and profitable. How does this affect SEO`s impact in the future from a data perspective? Presented by Agustín Vazquez-Levi, President of AOD Marketing, at SEO Camp Montreal 2013. This presentation concentrates on the future role of SEO as more channels (Social, emails, PPC, Media, remarketing, etc.) are becoming increasingly important. Agustin discusses how to leverage different channels creatively with SEO by creating user personas specific to keyword intent, seasonality...etc.
5. Not provided
• Can account for up to 70% of organic searches in some industries
(http://www.advanced-web-metrics.com/blog/2013/02/01/the-rise-and-rise-of-not-provided-keywords/)
• Corrupts YoY data comparison, making it difficult to show an increase in traffic for specific KWs
• Less Keyword spread to measure intent
6. Long-Tail
• By influencing keyword selection, the original user intent is obfuscated
• Searchers use fewer keyword variations, funneling visits to fewer potential sites
7. Sampling
Less accurate for ‘needle in a haystack’ problems such as:
•Single keyword analysis
•Long tail analysis
•Narrow dimension filtering
Sometimes you can’t drill deeper and the data request fails.
8. Google Competition
On some queries, top ranking organic results don’t show up over the foldover:
•Google Flights (http://www.aodmarketing.com/google-search-anti-competitive/)
•Larger Ads; taking more foldover space
•Knowledge Graph
•Shopping comparison/Hotel finder, etc.
9. Google Competition
On some queries, top ranking organic results don’t show up over the foldover:
•Google Flights (http://www.aodmarketing.com/google-search-anti-competitive/)
•Larger Ads; taking more foldover space
•Knowledge Graph (NEW: Nutrition information in search 5/30/2013)
•Shopping comparison/Hotel finder, etc.
11. Algorithm Updates
Penguin, Panda, Phantom…
•For some industries breaking Google Guidelines is the only way to rank (mortgage, pharma, adult, casino)
•Some updates have collateral damage on sites that did nothing wrong
•Guidelines are not always 100% clear and change as the web evolves
21. Assisted/Last Interaction Ratio
Assisted/Last interaction Conversions:
> 1 Likely to convert as last interaction
< 1 Source serves more as an assist role
= 1 Serves as an assist role equally as a last interaction
29. Remarket List Ideas
• Abandoned Cart/Lead Generation form
• Viewed specific Products/Categories
• Users who have spent more than a specific
amount on a purchase
• Did or didn’t complete a particular goal
• Has visited with a particular device type, OS
30. Remarket List Ideas
• Days since last visit?
• Specific event was triggered
• Custom Variable (Male/Female, Member/Non-
member, etc.)
• Specific Sequences: Has entered via
Campaign A then B, now will target with C
45. Measurement Protocol
Measure Offline Purchases with GA
• Tid= Google Analytics account
• cid= User ID (anonymous user)
• T= Interaction/Hit type (Pageview, event, etc.)
• Dp= Value of the hit type
Create hits from any device which can connect to the internet by “pinging” a URL:
http://www.google-analytics.com/collect
?v=1
&tid=UA-41347750-1
&cid=156325
&t=pageview
&dp=/sweaters