SES Toronto 2007 - Perfecting Paid Listings

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    SES Toronto 2007 - Perfecting Paid Listings - Presentation Transcript

    1. Perfecting Paid Listings
    2. Ads Matter!
      • Need to think Holistically in UX
      • Provide Bridge of Relevance
      • Require Cross Discipline Expertise
      • Perfection/Optimization = Testing
    3. What are the Keys to Successful PPC Testing?
      • Design your test around a single question
      • Have a large differentiation b/w tested elements
      • Account for changes in temporal behavior
      • Collect enough data to reduce margin of error
      • Segment results to provide added insight
      • Act on the results!
    4. Test 1: Is Running Ads on Brand Queries a Waste of Money? Example SERP w/o Ad Example SERP w/ Ad
    5. Test Design
      • 1 week ads on 1 week off
      • No issues of seasonality or promotion
      • 30 Branded Keywords
      • 1 version of ad
    6. Did the Ads Drive Traffic?
      • Google -1.3%
      • Yahoo -8.7%
      • Live -7.3%
      NO
    7. Did the Ads Increase Conversion Rate?
      • Google +17.9%
      • Yahoo +32.1%
      • Live +11.7%
      YES
    8. Did the Ads Increase RPV?
      • Google +15.4%
      • Yahoo +47.0%
      • Live +27.5%
      YES
    9. New Questions
      • Right Time? Marketing to Intent?
      • Power of Persuasion?
      • Power of Brand in Paid Listings?
    10. Test 2: What is the Best Ad to Increase Conversion? Ad Testing Multivariate Testing Works Increase Conversion Rates ottodigital.com/ads (Element 1) (Element 2) (Element 3) (Element 4) 4x3 L9 Orthogonal Array 4 Elements 3 Variations
    11. Test Design
      • 9 Ads Created and Tagged w/ URL Parameter
      • Landing and Thank You Page Tagged
      • Ad Serving Optimization Turned OFF
    12. What does an L9 Array Really Look Like? Recipe (9) Title (3) D1 (3) D2 (3) URL (3) A - Control {keyword} Search {AdGroup} suppliers Compare Products Today www.brand.com B {keyword} Find {keyword} suppliers Search Thousands of Products www.brand.com/{keyword} C {keyword} Find Parts fast at (brand) {keyword} catalog search www.brand.com/catalogs D {keyword} suppliers Search {AdGroup} suppliers Compare Products Today www.brand.com/catalogs E {keyword} suppliers Find {keyword} suppliers Search Thousands of Products www.brand.com F {keyword} suppliers Find Parts fast at (brand) {keyword} catalog search www.brand.com/{keyword} G {keyword} catalog Search {AdGroup} suppliers Compare Products Today www.brand.com/{keyword} H {keyword} catalog Find {keyword} suppliers Search Thousands of Products www.brand.com/catalogs I {keyword} catalog Find Parts fast at (brand) {keyword} catalog search www.brand.com
    13. What Were the Results? Recipe Visitors Conversion Lift A - Control 11.80% 5.88% --- B 14.30% 4.29% -27.05% C 14.04% 6.08% 3.42% D 9.34% 2.57% -56.29% E 13.00% 6.16% 4.72% F 9.42% 5.38% -8.50% G 10.06% 5.04% -14.32% H 10.41% 5.13% -12.82% I 7.63% 8.04% 36.71%
    14. What Were the Results? Recipe Visitors Conversion Lift A - Control 11.80% 5.88% --- B 14.30% 4.29% -27.05% C 14.04% 6.08% 3.42% D 9.34% 2.57% -56.29% E 13.00% 6.16% 4.72% F 9.42% 5.38% -8.50% G 10.06% 5.04% -14.32% H 10.41% 5.13% -12.82% I 7.63% 8.04% 36.71%
    15. What is the breakdown?
      • Other Ads the Used Winning URL
        • Control
        • +4.72%
      • Other Ads the Used Winning D1
        • +3.42%
        • -8.5%
      • Other Ads the Used Winning Title
        • -14%
        • -12%
      {keyword} catalog Find parts fast at (brand) {keyword} catalog search www.brand.com Winning Recipe
    16. What Ad Elements Influenced Conversion? Element Winning Alternative Influence on Conversion Title {keyword} suppliers 13.54% D1 Find {keyword} suppliers 53.53% D2 Search Thousands of Products 23.56% URL www.brand.com/{keyword} 9.37%
    17. What’s Better? {keyword} catalog Find parts fast at (brand) {keyword} catalog search www.brand.com {keyword} suppliers Find {keyword} suppliers Search Thousands of Products www.brand.com/{keyword} Winning Recipe Best Predicted Best Predicted +52% Lift in Conversion Rate
    18. Test 3: What are the effects of Quality Score?
    19. Who & What Determines Relevance? Recipe A-C Title: “{keyword}” Recipe Impressions Conversion Rate Recipe A 265,909 5.72% Recipe B 265,045 5.09% Recipe C 264,784 5.49%
    20. Who & What Determines Relevance? Recipe D-F Title: “ Find {keyword}” Recipe Impressions Conversion Rate Recipe D 47,093 8.59% Recipe E 47,289 5.24% Recipe F 47,066 7.76%
    21. Who & What Determines Relevance? Recipe G-I Title: “The Wait is Over” Recipe Impressions Conversion Rate Recipe G 46,518 9.84% Recipe H 46,795 8.11% Recipe I 46,579 11.76%
    22. Who Decides Relevance?
      • Group G-I had
      • 17% of the Impressions of A-C
      • 32% of the Conversions of A-C
      • 82% higher Conversion Rate than A-C
    23. Test 3: What are the effects of Quality Score? X Ignore the Score!!!
    24. Universal Search - Universal Truths
      • Look at Natural Results
      • Think about SERP Dynamic
      • Discovery>Consideration>Purchase
    25. Jonathan Mendez - OTTO Digital, Chief Strategy Officer
      • optimizeandprophesize.com - My Blog
      • ottodigital.com/blog - OTTO Digital Blog
      • landingpageoptimization.com - Matt Roche Blog
      Thanks!

    + jonathanmendezjonathanmendez, 3 years ago

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