25
#ID2013 DRIVING SEARCH WITH BIG DATA Benjamin Spiegel Director, Search Operations

#ID2013 - Data Silos by @nxfxcom

Embed Size (px)

DESCRIPTION

Benjamin Spiegel's presentation at #ID2013 (Interactivity Digital) in South Beach on Data Silos in the Digital Age - http://www.youtube.com/watch?v=A0Jop4fsDpc

Citation preview

Page 1: #ID2013 - Data Silos by @nxfxcom

#ID2013

DRIVING SEARCH

WITH BIG DATA

Benjamin SpiegelDirector, Search Operations

Page 2: #ID2013 - Data Silos by @nxfxcom

#ID2013

Who am I?

Benjamin SpiegelDirector, Search OperationsCatalyst Online

Twitter: @nxfxcomEmail: [email protected]: www.catalystsearchmarketing.com

Likes• Search• Analytics• Data• Caffeine

Dislikes• PowerPoints• Presentations• Public speaking• Plus…

Page 3: #ID2013 - Data Silos by @nxfxcom

#ID2013

ORGANIC PAID SOCIAL

Data Silos

Page 4: #ID2013 - Data Silos by @nxfxcom

#ID2013

Data Sources

and many more…

Page 5: #ID2013 - Data Silos by @nxfxcom

#ID2013

API Process1. Determine the data sources

– Translate Business needs into KPIs and determine who has the metrics

2. Build connecters & adapters– Develop automated collection methods to collect the raw data

3. Store and aggregate the data– Choose a flexible storage and aggregation method to manipulate and prepare

the data.

4. Visualize & explore with BI Tools– Connect your data to a visualization / BI Tool do filter, segment and analyze.

Page 6: #ID2013 - Data Silos by @nxfxcom

#ID2013

So What Does That Mean For Me?

Page 7: #ID2013 - Data Silos by @nxfxcom

#ID2013

Key Phrase Strategy

Page 8: #ID2013 - Data Silos by @nxfxcom

#ID2013O

rgan

ic R

ank

Current CPC

Page 9: #ID2013 - Data Silos by @nxfxcom

#ID2013

Lets Dig A Little Deeper And Let’s Size Them By

Interest

Page 10: #ID2013 - Data Silos by @nxfxcom

#ID2013

Current CPC

Org

anic

Ran

k

Page 11: #ID2013 - Data Silos by @nxfxcom

#ID2013

Okay, How About Coloring Them By Bounce Rate?

Page 12: #ID2013 - Data Silos by @nxfxcom

#ID2013

Current CPC

Org

anic

Ran

k

Page 13: #ID2013 - Data Silos by @nxfxcom

#ID2013

How About Incorporating Google Trend Forecast With

Icons

Page 14: #ID2013 - Data Silos by @nxfxcom

#ID2013

Current CPC

Org

anic

Ran

k

Page 15: #ID2013 - Data Silos by @nxfxcom

#ID2013

Current CPC

Org

anic

Ran

k OrganicPaid

Page 16: #ID2013 - Data Silos by @nxfxcom

#ID2013

CASE STUDY

BrandX Wanted Visibility On 50% Of All Results For Primary Keyphrases

Currently Visible on 20%

Page 17: #ID2013 - Data Silos by @nxfxcom

#ID2013

Gave Us 67,000 Unique URLs

1. We Took ~4000 Key Phrases And Collected The Top 20 Rankings For

Each Term

Page 18: #ID2013 - Data Silos by @nxfxcom

#ID2013

2. We Then Collected Audience Data For All Keyphrases From Compete, Comscore, And DoubleClick

Page 19: #ID2013 - Data Silos by @nxfxcom

#ID2013

3. We Analyzed The Sentiment Of All The Discovered URLs

Page 20: #ID2013 - Data Silos by @nxfxcom

#ID2013

4. Analyzed And Organized Inbound Links By Traffic, Quality, And Authority

Page 21: #ID2013 - Data Silos by @nxfxcom

#ID2013

5. This Leaves Us With Over 63 Points Of Data Per Domain

Page 22: #ID2013 - Data Silos by @nxfxcom

#ID2013

6. We Then Filtered The URLs To Remove Sites That• Did not align with the target audience• Had low engagement• Could not be influenced• Have low social or link authority

Page 23: #ID2013 - Data Silos by @nxfxcom

#ID2013

Referral pages per Visit

Visi

bilit

y (A

vg R

ank

| #

Resu

lts)

7. This Left Us With Around 170 Highly Engaged & Highly Targeted Sites.

Page 24: #ID2013 - Data Silos by @nxfxcom

#ID2013

Based On All Primary Keyphrases, ~60% Of All Results Contained Brand Mentions For Our Brand.

Result

Page 25: #ID2013 - Data Silos by @nxfxcom

#ID2013

Thank you!Benjamin Spiegel

Director, Search Operations