5 emerging trends in search

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FIVE EMERGING TRENDS IN ONLINE SEARCH

Tom Anthony SearchLove London 2015

5 TRENDS

COMPOUND QUERIES

IMPLICIT SIGNALS

PERSONAL ASSISTANTS

1 2

5

WEB SEARCH TO DATA SEARCH

4

KEYWORDS VS INTENTS

3

1IMPLICIT QUERY SIGNALS

1

search query

“london tube stations”

explicit aspect of query

implicit aspect of query

iPhone user, on street in London

“london tube stations”

TIME

TO

TA

L S

IGN

AL

IN

FO

RM

AT

ION

explicit signal

implicit signal

Device

Location Browser

Social Connections

Time of Day

Search HistoryLanguage

• NBED - WEARABLES

IMPLICIT SIGNALS: WEARABLES

IMPLICIT SIGNALS: MODE OF TRANSPORT

• NBED - PHYSICAL WEB

IMPLICIT SIGNALS: HYPER-LOCAL (BEACONS)

Mockup: Jack Morgan

IMPLICIT SIGNALS: READING SIGNS

TIME

TO

TA

L S

IGN

AL

IN

FO

RM

AT

ION

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?

COMPOUND QUERIES

IMPLICIT SIGNALS

PERSONAL ASSISTANTS

1 2

5

WEB SEARCH TO DATA SEARCH

4

KEYWORDS VS INTENTS

3

COMPOUND QUERIES

2

Query

AlgorithmResponse

Revised Query

Algorithm

Response

A SEARCH QUERY

Query

AlgorithmResponse

Revised Query

Algorithm

Response

OLD MODEL: INDEPENDENT QUERIES

HUMMINGBIRD

Credit: mikebaird on Flickr

brought to you by…

https://youtu.be/JfJOFvKDNu4

brought to you by…

https://youtu.be/X8K2ccNBZYU

NEW MODEL: DEPENDENT QUERIES

Query

AlgorithmResponse

Additional Input

Algorithm

Revised Response

https://youtu.be/M1ONXea0mXg

https://youtu.be/M1ONXea0mXg

COMPOUND QUERIES ARE LIKE FACETED SEARCH

FACT Queries are no longer single expressions of

intent followed by static responses.

QUESTION What compound queries might your

visitors be trying?

COMPOUND QUERIES

IMPLICIT SIGNALS

PERSONAL ASSISTANTS

1 2

5

WEB SEARCH TO DATA SEARCH

4

KEYWORDS VS INTENTS

3

KEYWORD FOCUS TO INTENT FOCUS

3

Example from: Rand Fishkin, Moz

KEYWORDS & INTENTS

Source: /u/UpboatOarKnotUpboat

SEARCH HISTORY OF A 5 YEAR OLD

KEYWORDS

INTENT

KEYWORDS

INTENT

IMPLICIT SIGNALS

COMPOUND QUERIES

brought to you by…

https://youtu.be/Cv_EzsI7x34

CONTEXTUAL SEARCHES

http://selnd.com/1MnLlF8

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?

COMPOUND QUERIES

IMPLICIT SIGNALS

PERSONAL ASSISTANTS

1 2

5

WEB SEARCH TO DATA SEARCH

4

KEYWORDS VS INTENTS

3

WEB SEARCH TO DATA DRIVEN SEARCH

4

SHIFT AWAY FROM ‘WEB SEARCH’: ENTITIES

SHIFT AWAY FROM ‘WEB SEARCH’: DIRECT ANSWERS

SHIFT AWAY FROM ‘WEB SEARCH’: GOOGLE NOW

FROM WEB TO 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)

CROSS DEVICE: APPLE HANDOFF

CROSS DEVICE: SHARED SCREENS

DIRECT ANSWERS & CARDS

CARDS: UNITS OF DATA

CARDS: ADAPT EASILY CROSS DEVICE

dicddic

CARDS: NEW MOBILE INTERFACE

CARDS: DATA SOURCES

Knowledge

GraphData

Partnerships

Everything Else

?

CARDS: DATA SOURCES

Knowledge

GraphData

Partnerships

Everything Else

YOU!

DIRECT ANSWERS: FEATURED SNIPPETS

FACETED SEARCH 2.0: CROSS DEVICE CARDS?

FACT Direct answers and cross device search are driving us

towards a ‘data driven’ model where cards are key.

QUESTIONS Is your data accessible to Google?

Why should Google choose you as a data source?

COMPOUND QUERIES

IMPLICIT SIGNALS

PERSONAL ASSISTANTS

1 2

5

WEB SEARCH TO DATA SEARCH

4

KEYWORDS VS INTENTS

3

PERSONAL ASSISTANTS

5

GOOGLE’S MISSION

‘PERSONAL INDEX’: PHOTOS

‘PERSONAL INDEX’: CALENDAR

‘PERSONAL INDEX’: DEVICES

‘PERSONAL INDEX’: EMAILS

EMAIL STRUCTURED MARKUP

A single interface for all searches.

NOT JUST GOOGLE

MICROSOFT CORTANA

PROACTIVE SIRI

FACEBOOK ‘M’

HOUND

We are in a Post-PageRank world.

FACT We will increasingly search both personal and

public indexes via a single interface.

QUESTION How can we prepare to be the most useful source

from a personal assistant app’s perspective?

TAKEAWAYS

COMPOUND QUERIES

IMPLICIT SIGNALS

PERSONAL ASSISTANTS

1 2

5

WEB SEARCH TO DATA SEARCH

4

KEYWORDS VS INTENTS

3

Intent is more than just ‘keywords done better’; consider the implicit signals and compound queries.

Data Driven Search is coming; start considering what steps to take to prepare.

The rise of ‘Personal Assistants’ is an opportunity; optimise on another axis (that isn’t PageRank based).

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THANKS@TomAnthonySEO

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