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ionSearch 2012 - Expert Panel Suite
Maximising ROI For High-Turnover
Ecommerce Campaigns
James Holmes – Paid Search Director, Blueclaw - Moderator

Peter Whitmarsh – PPC Manager, Search Laboratory

Adam Hawkins – UK Sales Manager, Kenshoo

Arianne Donoghue – Head of PPC, Stickyeyes
ionSearch 2012

James Holmes

Blueclaw
14.15- 15.00:



Maximising ROI for high-turnover ecommerce PPC
campaigns



James Holmes - Paid Search Director, Blueclaw – Moderator
Peter Whitmarsh - PPC Manager, Search Laboratory
Adam Hawkins - UK Sales Manager, Kenshoo
Arianne Donoghue - Head of PPC, Stickyeyes



                                                            3
1. How have Google’s latest ad innovations helped
            ecommerce advertisers?




                                                    4
Dynamic Remarketing
• Allows for dynamic insertion of
  products into remarketing
  banners

• Based on users’ interaction with
  your website
Product Listing Ads
Interest Category Marketing
• Great if you have a specific interest to target




                                             £££
Similar Users
2. Is Facebook advertising worthwhile for ecommerce
        retailers and how best to measure ROI?




                                                      9
Facebook: Build > Engage > Amplify



             Page or    Fan Base
               App        with
             Creation   Like Ads

        Sponsored
          Stories   $        Publish to
                               Fans



                Targeting Fans
                  of Friends




                                          10
Facebook Target > Expand > Convert Off-Facebook

      $                            $


    $                               $
                                             11
3. Beyond AdWords and the other PPC platforms, what
role can third party technologies play for maximising ROI?




                                                             12
SEM Challenges




                 13
SEM Challenges




                 14
Products Feeds can keep relevancy updated


        Attributes                 Auto Keyword Expansion     Auto Campaign & Ad Group Creation

        Store: 123                 Category + Brand
        Metro: MSP                 Sub-Category + Brand        King’s Soft Field Sofa
        City: Bloomington          Category + Color + Brand    Only 12 left at $550.00.
        Category: Living Room      Brand + Sub-Category        Price Match Guarantee
        SubCategory: Sofa          Brand + Category            www.acme.com/LivingRoom/Sofa
        Size: Large                Brand + Name
        Brand: King’s              Name + Color
        Item SKU: 527 510 480 10   Size + Name                Dynamic Ad Creation
        Name: Soft Field           Name + Brand
        Color: Lime Green          Brand + Location
        Price: $550.00             Location + Inventory       • Keyword Combos • Price         • Brand
        Inventory: 12              Category + Location        • Inventory       • Promotions   • Category




                                                                                                         15
Bidding Mechanisms

                KW Rules-Based           Portfolio-Based

 Human                  ✓
                  Advanced Search Bid         Not Feasible
Decisioning          Management


Algorithmic             ✓                          ✓
Decisioning     Keyword Bid Management   Portfolio Bid Optimization




                                                                      16
Rules Based Bidding
• Bids are set on keywords
• Each keyword strives to reach the
  (same) goal
• Keywords look to hit its own
  individual goal…
• …even if there is an opportunity to
  improve overall performance by
  relaxing its own goal/constraint




                                            17
Portfolio Bidding

           • Bids are also set on keywords

           • The goal is for the entire
             portfolio – individual
             keywords don’t have a goal

           • They all work together
             towards the “greater good,”
             even if it means taking a
             “personal hit”




                                             18
4. How best to structure PPC campaigns for maximum ROI?




                                                          19
The Problem
• Search terms for a keyword of +dresses
   Search Phrase    Impressions   Clicks    CTR    Convs Conv Rate
   dresses            2370000     50000    2.11%   1330    2.66%
   dress              2600000     43000    1.65%   1230    2.86%
   cheap dress         470000     30000    6.38%    560    1.87%
   red dress          1100000     20000    1.82%    80     0.40%
   red maxi dress      260000     18000    6.92%    200    1.11%
   black minidress     400000      7000    1.75%    120    1.71%
   designer dresses    120000      6000    5.00%    120    2.00%
   silk dresses        280000      3000    1.07%    70     2.33%
   size 10 dresses     30000       2000    6.67%     5     0.25%
   new look dresses    22000       1500    6.82%    20     1.33%
   prom dress          110000      1200    1.09%    20     1.67%
   debenhams
   dresses             20000      1000     5.00%    5      0.50%
The Problem
• Hundreds of different search terms
  triggering this keyword

• Loads of these search terms are
  actually keywords in the account
  anyway
The Problem
• How do we even begin to optimise this?


        Bid decisions      Wrong
        CTR                Poor
        Landing pages      Poor
        Quality score      Poor
        Keyword            Wrong
        reporting
The Solution


  Well thought-out ad group negatives
Example
                   Dresses

    Brand      Colour    Quality     Style

      Gucci       Red        Cheap     Maxi

      D&G        Black    Designer     Mini

     Primark      Pink    High End     Prom
Negatives
• Think about the priority of negatives when
  setting up

• Where should a search phrase ‘cheap red
  maxi dresses size 10 uk’ be?
  –   Dresses (Head terms)
  –   Dresses >> Colours >> Red
  –   Dresses >> Style >> Maxi
  –   Dresses >> Quality >> Cheap
Priorities
• We should have a pecking order such as
    Brand > Style > Colour > Quality > Head Terms
Priorities

   Brand > Style > Colour > Quality > Head Terms

• Then when setting up we know that:
  – ‘Gucci’ can be negated in the style, colour, quality &
    head terms groups
  – ‘Red’ can be negated in the quality & head terms groups
Priorities

    Brand > Style > Colour > Quality > Head Terms

• So now we know that ‘cheap red maxi dresses size
  10 uk’ can only go to one place

• Maxi is negated in everything below style so it has
  to go to the style ad groups
5. PPC & SEO- Synergy, Cannibalism or both?




                                              29
PPC & SEO

Good thing or bad thing?
      It depends!


                           30
Depends on what?
•   Where you rank organically
•   Levels of competition in your sector
•   Costs of PPC
•   Strength of your brand
•   What tracking/attribution software you use
•   How well integrated you *actually* have them



                                                   31
Plenty of overlap
PPC in a silo translates to just
       looking at this:




                                     32
Plenty of overlap
And means we’re missing
     out on this:




                                33
Incrementality
•   Where the combination is greater than the sum of its parts




                                                                 34
Test, Analyse & Learn
•    Every business is different
•    No substitute for your own data
•    Examine your analytics
•    Use attributed data where possible
•    Understand where and how your PPC & SEO work together


    It’s not about which is better or worse – they’re just
                              different!
                                                             35
6. How does the EU cookie law change things for PPC
                   advertisers?




                                                      36
EU Cookie Law
• aka European Privacy Directive
• Comes into effect 26th May 2012
• Put simply:
   • No cookies must be placed without user consent (opt-in)
   • Unless they are essential for the site experience, e.g.
     shopping cart
Key Questions
1. What happens to tracking and attribution which rely on the
   use of cookies?
2. What could the impact be if a high percentage of site users
   decline to opt-in?
3. What happens to a site if it doesn’t comply?
7. Any questions?




                    39
ionSearch 2012

Peter Whitmarsh

Search Laboratory
Newer Google Features
Presented By: Pete Whitmarsh
Dynamic Remarketing

• Allows for dynamic insertion of
  products into remarketing
  banners

• Based on users’ interaction with
  your website
Product Listing Ads
Interest Category Marketing

• Great if you have a specific interest to target




                                             £££
Similar Users
PPC Structure for Retail
Using Ad Group Negatives to
Control Traffic
Presented By: Pete Whitmarsh
The Problem
• Search terms for a keyword of +dresses
   Search Phrase    Impressions   Clicks    CTR    Convs Conv Rate
   dresses            2370000     50000    2.11%   1330    2.66%
   dress              2600000     43000    1.65%   1230    2.86%
   cheap dress         470000     30000    6.38%    560    1.87%
   red dress          1100000     20000    1.82%    80     0.40%
   red maxi dress      260000     18000    6.92%    200    1.11%
   black minidress     400000      7000    1.75%    120    1.71%
   designer dresses    120000      6000    5.00%    120    2.00%
   silk dresses        280000      3000    1.07%    70     2.33%
   size 10 dresses     30000       2000    6.67%     5     0.25%
   new look dresses    22000       1500    6.82%    20     1.33%
   prom dress          110000      1200    1.09%    20     1.67%
   debenhams
The Problem
• Hundreds of different search terms
  triggering this keyword

• Loads of these search terms are
  actually keywords in the account
  anyway
The Problem
• How do we even begin to optimise this?


        Bid decisions      Wrong
        CTR                Poor
        Landing pages      Poor
        Quality score      Poor
        Keyword            Wrong
        reporting
The Solution

  Well thought-out ad group negatives
Example
                 Dresses

  Brand      Colour    Quality     Style

    Gucci       Red        Cheap     Maxi

    D&G        Black    Designer     Mini

   Primark      Pink    High End     Prom
Negatives
• Think about the priority of negatives when
  setting up

• Where should a search phrase ‘cheap red
  maxi dresses size 10 uk’ be?
  –   Dresses (Head terms)
  –   Dresses >> Colours >> Red
  –   Dresses >> Style >> Maxi
  –   Dresses >> Quality >> Cheap
Priorities
• We should have a pecking order such as
   Brand > Style > Colour > Quality > Head Terms
Priorities

   Brand > Style > Colour > Quality > Head Terms

• Then when setting up we know that:
  – ‘Gucci’ can be negated in the style, colour, quality &
    head terms groups
  – ‘Red’ can be negated in the quality & head terms groups
Priorities

   Brand > Style > Colour > Quality > Head Terms

• So now we know that ‘cheap red maxi dresses size
  10 uk’ can only go to one place

• Maxi is negated in everything below style so it has
  to go to the style ad groups
James Holmes - Maximising ROI for High-Turnover Ecommerce PPC Campaigns - ionSearch 2012

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James Holmes - Maximising ROI for High-Turnover Ecommerce PPC Campaigns - ionSearch 2012

  • 1. ionSearch 2012 - Expert Panel Suite Maximising ROI For High-Turnover Ecommerce Campaigns James Holmes – Paid Search Director, Blueclaw - Moderator Peter Whitmarsh – PPC Manager, Search Laboratory Adam Hawkins – UK Sales Manager, Kenshoo Arianne Donoghue – Head of PPC, Stickyeyes
  • 3. 14.15- 15.00: Maximising ROI for high-turnover ecommerce PPC campaigns James Holmes - Paid Search Director, Blueclaw – Moderator Peter Whitmarsh - PPC Manager, Search Laboratory Adam Hawkins - UK Sales Manager, Kenshoo Arianne Donoghue - Head of PPC, Stickyeyes 3
  • 4. 1. How have Google’s latest ad innovations helped ecommerce advertisers? 4
  • 5. Dynamic Remarketing • Allows for dynamic insertion of products into remarketing banners • Based on users’ interaction with your website
  • 7. Interest Category Marketing • Great if you have a specific interest to target £££
  • 9. 2. Is Facebook advertising worthwhile for ecommerce retailers and how best to measure ROI? 9
  • 10. Facebook: Build > Engage > Amplify Page or Fan Base App with Creation Like Ads Sponsored Stories $ Publish to Fans Targeting Fans of Friends 10
  • 11. Facebook Target > Expand > Convert Off-Facebook $ $ $ $ 11
  • 12. 3. Beyond AdWords and the other PPC platforms, what role can third party technologies play for maximising ROI? 12
  • 15. Products Feeds can keep relevancy updated Attributes Auto Keyword Expansion Auto Campaign & Ad Group Creation Store: 123 Category + Brand Metro: MSP Sub-Category + Brand King’s Soft Field Sofa City: Bloomington Category + Color + Brand Only 12 left at $550.00. Category: Living Room Brand + Sub-Category Price Match Guarantee SubCategory: Sofa Brand + Category www.acme.com/LivingRoom/Sofa Size: Large Brand + Name Brand: King’s Name + Color Item SKU: 527 510 480 10 Size + Name Dynamic Ad Creation Name: Soft Field Name + Brand Color: Lime Green Brand + Location Price: $550.00 Location + Inventory • Keyword Combos • Price • Brand Inventory: 12 Category + Location • Inventory • Promotions • Category 15
  • 16. Bidding Mechanisms KW Rules-Based Portfolio-Based Human ✓ Advanced Search Bid Not Feasible Decisioning Management Algorithmic ✓ ✓ Decisioning Keyword Bid Management Portfolio Bid Optimization 16
  • 17. Rules Based Bidding • Bids are set on keywords • Each keyword strives to reach the (same) goal • Keywords look to hit its own individual goal… • …even if there is an opportunity to improve overall performance by relaxing its own goal/constraint 17
  • 18. Portfolio Bidding • Bids are also set on keywords • The goal is for the entire portfolio – individual keywords don’t have a goal • They all work together towards the “greater good,” even if it means taking a “personal hit” 18
  • 19. 4. How best to structure PPC campaigns for maximum ROI? 19
  • 20. The Problem • Search terms for a keyword of +dresses Search Phrase Impressions Clicks CTR Convs Conv Rate dresses 2370000 50000 2.11% 1330 2.66% dress 2600000 43000 1.65% 1230 2.86% cheap dress 470000 30000 6.38% 560 1.87% red dress 1100000 20000 1.82% 80 0.40% red maxi dress 260000 18000 6.92% 200 1.11% black minidress 400000 7000 1.75% 120 1.71% designer dresses 120000 6000 5.00% 120 2.00% silk dresses 280000 3000 1.07% 70 2.33% size 10 dresses 30000 2000 6.67% 5 0.25% new look dresses 22000 1500 6.82% 20 1.33% prom dress 110000 1200 1.09% 20 1.67% debenhams dresses 20000 1000 5.00% 5 0.50%
  • 21. The Problem • Hundreds of different search terms triggering this keyword • Loads of these search terms are actually keywords in the account anyway
  • 22. The Problem • How do we even begin to optimise this? Bid decisions Wrong CTR Poor Landing pages Poor Quality score Poor Keyword Wrong reporting
  • 23. The Solution Well thought-out ad group negatives
  • 24. Example Dresses Brand Colour Quality Style Gucci Red Cheap Maxi D&G Black Designer Mini Primark Pink High End Prom
  • 25. Negatives • Think about the priority of negatives when setting up • Where should a search phrase ‘cheap red maxi dresses size 10 uk’ be? – Dresses (Head terms) – Dresses >> Colours >> Red – Dresses >> Style >> Maxi – Dresses >> Quality >> Cheap
  • 26. Priorities • We should have a pecking order such as Brand > Style > Colour > Quality > Head Terms
  • 27. Priorities Brand > Style > Colour > Quality > Head Terms • Then when setting up we know that: – ‘Gucci’ can be negated in the style, colour, quality & head terms groups – ‘Red’ can be negated in the quality & head terms groups
  • 28. Priorities Brand > Style > Colour > Quality > Head Terms • So now we know that ‘cheap red maxi dresses size 10 uk’ can only go to one place • Maxi is negated in everything below style so it has to go to the style ad groups
  • 29. 5. PPC & SEO- Synergy, Cannibalism or both? 29
  • 30. PPC & SEO Good thing or bad thing? It depends! 30
  • 31. Depends on what? • Where you rank organically • Levels of competition in your sector • Costs of PPC • Strength of your brand • What tracking/attribution software you use • How well integrated you *actually* have them 31
  • 32. Plenty of overlap PPC in a silo translates to just looking at this: 32
  • 33. Plenty of overlap And means we’re missing out on this: 33
  • 34. Incrementality • Where the combination is greater than the sum of its parts 34
  • 35. Test, Analyse & Learn • Every business is different • No substitute for your own data • Examine your analytics • Use attributed data where possible • Understand where and how your PPC & SEO work together It’s not about which is better or worse – they’re just different! 35
  • 36. 6. How does the EU cookie law change things for PPC advertisers? 36
  • 37. EU Cookie Law • aka European Privacy Directive • Comes into effect 26th May 2012 • Put simply: • No cookies must be placed without user consent (opt-in) • Unless they are essential for the site experience, e.g. shopping cart
  • 38. Key Questions 1. What happens to tracking and attribution which rely on the use of cookies? 2. What could the impact be if a high percentage of site users decline to opt-in? 3. What happens to a site if it doesn’t comply?
  • 41. Newer Google Features Presented By: Pete Whitmarsh
  • 42. Dynamic Remarketing • Allows for dynamic insertion of products into remarketing banners • Based on users’ interaction with your website
  • 44. Interest Category Marketing • Great if you have a specific interest to target £££
  • 46. PPC Structure for Retail Using Ad Group Negatives to Control Traffic Presented By: Pete Whitmarsh
  • 47. The Problem • Search terms for a keyword of +dresses Search Phrase Impressions Clicks CTR Convs Conv Rate dresses 2370000 50000 2.11% 1330 2.66% dress 2600000 43000 1.65% 1230 2.86% cheap dress 470000 30000 6.38% 560 1.87% red dress 1100000 20000 1.82% 80 0.40% red maxi dress 260000 18000 6.92% 200 1.11% black minidress 400000 7000 1.75% 120 1.71% designer dresses 120000 6000 5.00% 120 2.00% silk dresses 280000 3000 1.07% 70 2.33% size 10 dresses 30000 2000 6.67% 5 0.25% new look dresses 22000 1500 6.82% 20 1.33% prom dress 110000 1200 1.09% 20 1.67% debenhams
  • 48. The Problem • Hundreds of different search terms triggering this keyword • Loads of these search terms are actually keywords in the account anyway
  • 49. The Problem • How do we even begin to optimise this? Bid decisions Wrong CTR Poor Landing pages Poor Quality score Poor Keyword Wrong reporting
  • 50. The Solution Well thought-out ad group negatives
  • 51. Example Dresses Brand Colour Quality Style Gucci Red Cheap Maxi D&G Black Designer Mini Primark Pink High End Prom
  • 52. Negatives • Think about the priority of negatives when setting up • Where should a search phrase ‘cheap red maxi dresses size 10 uk’ be? – Dresses (Head terms) – Dresses >> Colours >> Red – Dresses >> Style >> Maxi – Dresses >> Quality >> Cheap
  • 53. Priorities • We should have a pecking order such as Brand > Style > Colour > Quality > Head Terms
  • 54. Priorities Brand > Style > Colour > Quality > Head Terms • Then when setting up we know that: – ‘Gucci’ can be negated in the style, colour, quality & head terms groups – ‘Red’ can be negated in the quality & head terms groups
  • 55. Priorities Brand > Style > Colour > Quality > Head Terms • So now we know that ‘cheap red maxi dresses size 10 uk’ can only go to one place • Maxi is negated in everything below style so it has to go to the style ad groups