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Distilled
November 19, 2015
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Tom Anthony - New Paradigms: Five Fundamental Changes in Search II
Distilled
November 19, 2015
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Transcript
brought to you by… @TomAnthonySEO FIVE FUNDAMENTAL CHANGES IN SEARCH
None
None
None
5 TRENDS
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
1. EXPLICIT VS IMPLICIT QUERY ASPECTS
search query “london tube stations”
explicit aspect of query implicit aspect of query iPhone user,
on street in London “london tube stations”
TIME TOTAL SIGNAL INFORMATION explicit signal implicit signal
Device Location Browser Social Connections Time of Day Search History
Language
• NBED - WEARABLES
None
• NBED - PHYSICAL WEB
Mockup: Jack Morgan
TIME TOTAL SIGNAL INFORMATION explicit signal implicit signal
My vision when we started Google 15 years ago was
that eventually you wouldn't have to have a search query at all. SERGEY BRIN GOOGLE
FACT Explosion of implicit signals is leading to more complex
queries and more granular results. QUESTION Which implicit signals could impact searchers trying to find your clients?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
2. COMPOUND QUERIES
Query Algorithm Response Revised Query Algorithm Response A SEARCH QUERY
Query Algorithm Response Revised Query Algorithm Response OLD MODEL: MULTIPLE
QUERIES
HUMMINGBIRD Credit: mikebaird on Flickr
None
None
NEW MODEL: MULTI-STEP QUERIES Query Algorithm Response Additional Input Algorithm
Revised Response
None
None
None
FACETED SEARCH = CROSS SITE FACETED NAV
FACT Queries are no longer single expressions of intent followed
by static responses. QUESTION What compound queries might your visitors be trying?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
3. KEYWORD FOCUS TO INTENT FOCUS
Example from: Rand Fishkin, Moz KEYWORD MATCHING IS NOW INTENT
MATCHING
Source: /u/UpboatOarKnotUpboat SEARCH HISTORY OF A 5 YEAR OLD
None
CONTEXTUAL SEARCHES
FACT Intent is not just ‘better keywords’; it is determined
from implicit signals and across multiple queries. QUESTION Do you know which landing pages serve which intents on your site?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
NBED: Future 4. DATA DRIVEN SEARCH
SHIFT AWAY FROM ‘WEB SEARCH’: ENTITIES
SHIFT AWAY FROM ‘WEB SEARCH’: ANSWERS
SHIFT AWAY FROM ‘WEB SEARCH’: GOOGLE NOW
APP INDEXING & DEEP LINKS
WHERE ARE WE HEADED?
CROSS DEVICE TASKS & SEARCHES source: http:/ /services.google.com/fh/files/misc/multiscreenworld_final.pdf (thanks, Dr
Pete)
APPLE HANDOFF
SHARED SCREENS
CARDS
CARDS ARE JUST UNITS OF DATA
CARDS source: http:/ /blog.intercom.io/the-end-of-apps-as-we-know-them/
NEW MOBILE INTERFACE: SEPT 2015
Knowledge Graph Data Partnerships DATA SOURCES Everything Else ?
Knowledge Graph Data Partnerships DATA SOURCES Everything Else YOU AND
I!
FEATURED SNIPPETS
FACETED SEARCH (AGAIN)
FACT Multiple interfaces, the rise of ‘answers’ is driving search
towards a ‘data driven’ model. QUESTION Why should Google choose you as a data source?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
5. THE CONVERGENCE OF INTERFACES
None
INWARD SEARCHES
INWARD SEARCHES
None
GOOGLE INBOX & CARDS
INBOX FEEDING SEARCH & NOW
None
FACT ‘Ultimate assistants’ will mean we increasingly do inward and
outward searches in one interface. QUESTION What could a connection to your data provide this interface that Google can’t do without you?
BONUS: MACHINE LEARNING RANKING FACTORS
ML BASED RANKING FACTORS
TAKEAWAYS
Intent is more than just ‘keywords done better’; consider the
implicit signals and compound queries. Data Driven Search is coming; prepare your foundations (listen to Will). Decline of Web Search is an opportunity; optimize on another axis (that isn’t PageRank based). TAKEAWAYS
@TomAnthonySEO THANKS