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#ID2013
DRIVING SEARCH
WITH BIG DATA
Benjamin Spiegel
Director, Search Operations
#ID2013
Who am I?
Benjamin Spiegel
Director, Search Operations
Catalyst Online
Twitter: @nxfxcom
Email: benjamin.spiegel@groupm.com
URL: www.catalystsearchmarketing.com
Likes
• Search
• Analytics
• Data
• Caffeine
Dislikes
• PowerPoints
• Presentations
• Public speaking
• Plus…
#ID2013
ORGANIC PAID SOCIAL
Data Silos
#ID2013
Data Sources
and many more…
#ID2013
So What Can You Do?
#ID2013
API Process
1. 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.
#ID2013
So What Does That Mean For
Me?
#ID2013
Key Phrase Strategy
#ID2013
How Can We Make That
Better?
#ID2013OrganicRank
Current CPC
#ID2013
Lets Dig A Little Deeper And
Let’s Size Them By Interest
#ID2013
Current CPC
OrganicRank
#ID2013
Okay, How About Coloring
Them By Bounce Rate?
#ID2013
Current CPC
OrganicRank
#ID2013
How About Incorporating Google
Trend Forecast With Icons
#ID2013
Current CPC
OrganicRank
#ID2013
Current CPC
OrganicRank
OrganicPaid
#ID2013
BrandX Wanted to create
consumer connections with 50% of
all searchers.
They Are Currently connecting with
only 15% of all searchers
Case Study
#ID2013
abcnews.com
wikihow.com
youtube.com
youtube.com
#ID2013
So What Do They All Have In
Common?
#ID2013
Search Boxes
#ID2013
Opportunities
#ID2013
So how do we decide where to
play?
#ID2013
Gave Us 67,000 Unique URLsGave Us 67,000 Unique URLsGave Us 67,000 Unique URLsGave Us 67,000 Unique URLs
1. We Took ~4000 Key Phrases And
Collected The Top 20 Rankings For
Each Term
#ID2013
2. We Then Collected Audience Data
For All Keyphrases From Compete,
Comscore, And DoubleClick
#ID2013
3. We Analyzed The Sentiment Of
All The Discovered URLs
#ID2013
4. Analyzed And Organized
Inbound Links By Traffic, Quality,
And Authority
#ID2013
5. This Leaves Us With Over 63 Points
Of Data Per Domain
#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
#ID2013
Referral pages per Visit
Visibility(AvgRank|#
Results)
7. This Left Us With Around 170 Highly
Engaged & Highly Targeted Sites.
#ID2013
Referral pages per Visit
Visibility(AvgRank|#
Results)
BrandX Is Now Visible On
#ID2013
Based On All Primary Keyphrases,
~60% Of All Results Contained
Brand Mentions For Our Brand.
Result
#ID2013
Thank you!
Benjamin Spiegel
Director, Search Operations

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Day 2, session 10, benjamin spiegel

Editor's Notes

  1. MAKING DECISIONS
  2. SO WHY NOT ADD SOME MORE KEYWORDS