Day 2, session 10, benjamin spiegel
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Day 2, session 10, benjamin spiegel

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  • MAKING DECISIONS
  • SO WHY NOT ADD SOME MORE KEYWORDS

Day 2, session 10, benjamin spiegel Day 2, session 10, benjamin spiegel Presentation Transcript

  • #ID2013DRIVING SEARCHWITH BIG DATABenjamin SpiegelDirector, Search Operations
  • #ID2013Who am I?Benjamin SpiegelDirector, Search OperationsCatalyst OnlineTwitter: @nxfxcomEmail: benjamin.spiegel@groupm.comURL: www.catalystsearchmarketing.comLikes• Search• Analytics• Data• CaffeineDislikes• PowerPoints• Presentations• Public speaking• Plus…
  • #ID2013ORGANIC PAID SOCIALData Silos
  • #ID2013Data Sourcesand many more…
  • #ID2013So What Can You Do?
  • #ID2013API Process1. Determine the data sources– Translate Business needs into KPIs and determine who has the metrics2. Build connecters & adapters– Develop automated collection methods to collect the raw data3. 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.
  • #ID2013So What Does That Mean ForMe?
  • #ID2013Key Phrase Strategy
  • #ID2013How Can We Make ThatBetter?
  • #ID2013OrganicRankCurrent CPC
  • #ID2013Lets Dig A Little Deeper AndLet’s Size Them By Interest
  • #ID2013Current CPCOrganicRank
  • #ID2013Okay, How About ColoringThem By Bounce Rate?
  • #ID2013Current CPCOrganicRank
  • #ID2013How About Incorporating GoogleTrend Forecast With Icons
  • #ID2013Current CPCOrganicRank
  • #ID2013Current CPCOrganicRankOrganicPaid
  • #ID2013BrandX Wanted to createconsumer connections with 50% ofall searchers.They Are Currently connecting withonly 15% of all searchersCase Study
  • #ID2013abcnews.comwikihow.comyoutube.comyoutube.com
  • #ID2013So What Do They All Have InCommon?
  • #ID2013Search Boxes
  • #ID2013Opportunities
  • #ID2013So how do we decide where toplay?
  • #ID2013Gave Us 67,000 Unique URLsGave Us 67,000 Unique URLsGave Us 67,000 Unique URLsGave Us 67,000 Unique URLs1. We Took ~4000 Key Phrases AndCollected The Top 20 Rankings ForEach Term
  • #ID20132. We Then Collected Audience DataFor All Keyphrases From Compete,Comscore, And DoubleClick
  • #ID20133. We Analyzed The Sentiment OfAll The Discovered URLs
  • #ID20134. Analyzed And OrganizedInbound Links By Traffic, Quality,And Authority
  • #ID20135. This Leaves Us With Over 63 PointsOf Data Per Domain
  • #ID20136. We Then Filtered The URLs ToRemove Sites That• Did not align with the target audience• Had low engagement• Could not be influenced• Have low social or link authority
  • #ID2013Referral pages per VisitVisibility(AvgRank|#Results)7. This Left Us With Around 170 HighlyEngaged & Highly Targeted Sites.
  • #ID2013Referral pages per VisitVisibility(AvgRank|#Results)BrandX Is Now Visible On
  • #ID2013Based On All Primary Keyphrases,~60% Of All Results ContainedBrand Mentions For Our Brand.Result
  • #ID2013Thank you!Benjamin SpiegelDirector, Search Operations