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London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
How to Design, Segment
& Optimise an AdWords
Enhanced Campaign
Getting the most from
Google Shopping Ads
By Ann Stanley
Managing Director of Anicca Digital
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Growth in Product Listing Ads (PLA’s)
- Data Courtesy of Marin Software
PLA Spend
PLA Share
of Spend
PLA CPC
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Shopping campaigns vs.
Product Listing Ads (PLA)
• Still requires a linked Google Merchant Centre account and
uploaded/live product feed
• Better targeting – using data directly from the feed
– Ad groups replaced with Product Groups
– Hierarchy of targeting, e.g. brand then Product type, then Item ID
– Use 5 Custom Label fields for further targeting e.g. price or margin
– Can filter within campaign settings e.g. on one brand (or other targeting)
• More data than PLA’s – now see Impression share, benchmark CTR
and benchmark CPC, “See search terms” (data is in Dimensions tab)
• More competition –
– Demand for PLA’s has already increased resulting in higher CPC’s
– New ads easier to set-up - so will more merchants will use them?
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Planning your campaign
• Typically create campaigns for:
– Categories (Standard Google categories)
– Product types (from your feed)
– Brands (from your feed)
– Brand in combination with Product type
• Plan out your hierarchy in advance:
Category > Product Group > Brand > Item ID
Brand > Custom Label 0 (Margin) > Product Group > Item ID
Brand > Product type > Custom Label 1 (Price band) > Item ID
Targeting Options
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Example Product Group hierarchy
Brand (Campaign) > Product Type > Item ID
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Creating a New Shopping
Campaign
• If you are new to PLA’s you
will need a product feed, a
Merchant Centre Account
with your AdWords details
added
• If you use PLA’s already
then your Merchant Centre
Account should already be
linked to your AdWords
Account
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Campaign Settings
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Advanced Shopping Settings
• Set your Priority level to High to prioritise the bid for your preferred
campaign (e.g. if you are running PLA’s in parallel, or have more than
one campaign with the same item)
• Define your Campaign by selecting your campaign or top level filter
– Create Filter within your Advanced Shopping settings when you set-up your
campaign (disadvantage – you have to guess the name – see below)
– When you create your Product Groups – use this as your top level filter and
exclude all other (advantage – choice of filter is shown – see subsequent
slide)
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Creating Product Hierarchy – Step 1
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Step 2 – Campaign filter (brand one)
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Step 3 – Create Product Groups
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Drill into the detail
Benchmark CTR and CPC
Impression Share data
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Changing bids and View Products
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Dimensions data – See search Terms
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Category Reports - Best Sellers
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Results of Shopping Ads and PLA’s
Clicks CPC
Converted
Clicks
Conversion
rate Revenue ROAS
Office
supplies Total 53,234 58.1% ÂŁ0.60 2176 56.4% 4.1% ÂŁ187,439 49.8% 5.8
Shopping 14,948 28.1% ÂŁ0.51 85.0% 704 32.4% 4.7% 115.2% ÂŁ57,123 30.5% 7.5 129.3%
PLA 15,982 30.0% ÂŁ0.38 63.3% 523 24.0% 3.3% 80.0% ÂŁ36,253 19.3% 6.0 103.4%
Underwear 9,082 65.6% ÂŁ0.23 226 70.4% 2.5% ÂŁ11,727 67.7% 5.6
Shopping 3,985 43.9% ÂŁ0.21 91.3% 106 46.9% 2.7% 106.8% ÂŁ5,184 44.2% 6.2 110.7%
PLA 1,974 21.7% ÂŁ0.21 91.3% 53 23.5% 2.7% 107.6% ÂŁ2,761 23.5% 6.8 121.4%
Auto Battery Total 17,950 6.1% ÂŁ0.13 309 7.4% 1.7% ÂŁ19,005 7.3% 7.9
Shopping 108 0.6% ÂŁ0.12 92.3% 3 1.0% 2.8% 161.6% ÂŁ111 0.6% 8.9 112.7%
PLA 983 5.5% ÂŁ0.18 138.5% 20 6.5% 2.0% 118.0% ÂŁ1,281 6.7% 7.3 92.4%
Fashion Total 35,011 16.9% ÂŁ0.15 532 29.1% 1.5% ÂŁ17,481 31.5% 3.4
Shopping 5,908 16.9% ÂŁ0.12 80.0% 155 29.1% 2.6% 172.4% ÂŁ5,509 31.5% 8.0 235.3%
Findings:
• Shopping and PLA’s generate >50% of traffic, conversions and
revenue in two of these examples
• CPC normally lower than account average
• Conversion rate and ROAS normally higher
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Typical problems
• Feed disapproval – ads will stop if there is anything wrong with your
feed
– Errors in data
– Prices wrong (how many times do your prices change a day?)
– Images wrong
– Manually updated feeds can be problematic
• Bids too low – bid high to start and then reduce, after a few days you
will see benchmark data
• Low CTR – poor image quality or irrelevant result (usually feed quality
issues)
• Low impressions – bids too low, low CTR or poor feed quality
• Shown for irrelevant phrases – need to keep adding negatives
(check daily for the first month, then weekly) and improve feed
• Previous issues have now been fixed:
– Multiple bid changes
– Graphs
– Downloadable report
– No API data
– Limited availability – now available in 23 countries
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Top Tips
• PLA’s will automatically convert to Shopping Ads in August
• Set-up Shopping Ads now and run in parallel – switch off PLA’s
once Shopping ads are optimised
• Design your hierarchy in advance – the more granular the better
• Improve relevancy by:
– Using Custom Labels
– Adding lots of negatives
– Improving Feed quality
• Use benchmark data for optimisation:
– Pause Product Groups with low CTR’s (use “Excluded” next to bid
change)
– Check CPC – change bids at Product Group level
– Check Impression share
• Use “Segment” to determine performance on devices and
networks – you may want to use bid modifier for mobiles and/or
pause Search Network
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
What’s new in Shopping
• Upgrade centre/help
• Bid simulator
• API – so reporting and bid management
tools should now be upgraded
• Local shopping results for store owners
(currently in beta and free in the UK!)
• Promotional attributes in feed – for offers
(beta test)
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Upgrade centre
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Shopping ads – local stores with
stock
Set-up
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Ads offers and trust signals
London | 10–13 February 2014 | #SESLON |
@SESConf
@AnnStanley
Thank you
ann@anicca.co.uk
07930 384443

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How to set-up and manage AdWords Shopping Ads - Talk by Ann Stanley at HeroConf

  • 1. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley How to Design, Segment & Optimise an AdWords Enhanced Campaign Getting the most from Google Shopping Ads By Ann Stanley Managing Director of Anicca Digital
  • 2. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley
  • 3. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Growth in Product Listing Ads (PLA’s) - Data Courtesy of Marin Software PLA Spend PLA Share of Spend PLA CPC
  • 4. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Shopping campaigns vs. Product Listing Ads (PLA) • Still requires a linked Google Merchant Centre account and uploaded/live product feed • Better targeting – using data directly from the feed – Ad groups replaced with Product Groups – Hierarchy of targeting, e.g. brand then Product type, then Item ID – Use 5 Custom Label fields for further targeting e.g. price or margin – Can filter within campaign settings e.g. on one brand (or other targeting) • More data than PLA’s – now see Impression share, benchmark CTR and benchmark CPC, “See search terms” (data is in Dimensions tab) • More competition – – Demand for PLA’s has already increased resulting in higher CPC’s – New ads easier to set-up - so will more merchants will use them?
  • 5. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Planning your campaign • Typically create campaigns for: – Categories (Standard Google categories) – Product types (from your feed) – Brands (from your feed) – Brand in combination with Product type • Plan out your hierarchy in advance: Category > Product Group > Brand > Item ID Brand > Custom Label 0 (Margin) > Product Group > Item ID Brand > Product type > Custom Label 1 (Price band) > Item ID Targeting Options
  • 6. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Example Product Group hierarchy Brand (Campaign) > Product Type > Item ID
  • 7. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Creating a New Shopping Campaign • If you are new to PLA’s you will need a product feed, a Merchant Centre Account with your AdWords details added • If you use PLA’s already then your Merchant Centre Account should already be linked to your AdWords Account
  • 8. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Campaign Settings
  • 9. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Advanced Shopping Settings • Set your Priority level to High to prioritise the bid for your preferred campaign (e.g. if you are running PLA’s in parallel, or have more than one campaign with the same item) • Define your Campaign by selecting your campaign or top level filter – Create Filter within your Advanced Shopping settings when you set-up your campaign (disadvantage – you have to guess the name – see below) – When you create your Product Groups – use this as your top level filter and exclude all other (advantage – choice of filter is shown – see subsequent slide)
  • 10. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Creating Product Hierarchy – Step 1
  • 11. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Step 2 – Campaign filter (brand one)
  • 12. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Step 3 – Create Product Groups
  • 13. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Drill into the detail Benchmark CTR and CPC Impression Share data
  • 14. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Changing bids and View Products
  • 15. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Dimensions data – See search Terms
  • 16. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Category Reports - Best Sellers
  • 17. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Results of Shopping Ads and PLA’s Clicks CPC Converted Clicks Conversion rate Revenue ROAS Office supplies Total 53,234 58.1% ÂŁ0.60 2176 56.4% 4.1% ÂŁ187,439 49.8% 5.8 Shopping 14,948 28.1% ÂŁ0.51 85.0% 704 32.4% 4.7% 115.2% ÂŁ57,123 30.5% 7.5 129.3% PLA 15,982 30.0% ÂŁ0.38 63.3% 523 24.0% 3.3% 80.0% ÂŁ36,253 19.3% 6.0 103.4% Underwear 9,082 65.6% ÂŁ0.23 226 70.4% 2.5% ÂŁ11,727 67.7% 5.6 Shopping 3,985 43.9% ÂŁ0.21 91.3% 106 46.9% 2.7% 106.8% ÂŁ5,184 44.2% 6.2 110.7% PLA 1,974 21.7% ÂŁ0.21 91.3% 53 23.5% 2.7% 107.6% ÂŁ2,761 23.5% 6.8 121.4% Auto Battery Total 17,950 6.1% ÂŁ0.13 309 7.4% 1.7% ÂŁ19,005 7.3% 7.9 Shopping 108 0.6% ÂŁ0.12 92.3% 3 1.0% 2.8% 161.6% ÂŁ111 0.6% 8.9 112.7% PLA 983 5.5% ÂŁ0.18 138.5% 20 6.5% 2.0% 118.0% ÂŁ1,281 6.7% 7.3 92.4% Fashion Total 35,011 16.9% ÂŁ0.15 532 29.1% 1.5% ÂŁ17,481 31.5% 3.4 Shopping 5,908 16.9% ÂŁ0.12 80.0% 155 29.1% 2.6% 172.4% ÂŁ5,509 31.5% 8.0 235.3% Findings: • Shopping and PLA’s generate >50% of traffic, conversions and revenue in two of these examples • CPC normally lower than account average • Conversion rate and ROAS normally higher
  • 18. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Typical problems • Feed disapproval – ads will stop if there is anything wrong with your feed – Errors in data – Prices wrong (how many times do your prices change a day?) – Images wrong – Manually updated feeds can be problematic • Bids too low – bid high to start and then reduce, after a few days you will see benchmark data • Low CTR – poor image quality or irrelevant result (usually feed quality issues) • Low impressions – bids too low, low CTR or poor feed quality • Shown for irrelevant phrases – need to keep adding negatives (check daily for the first month, then weekly) and improve feed • Previous issues have now been fixed: – Multiple bid changes – Graphs – Downloadable report – No API data – Limited availability – now available in 23 countries
  • 19. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Top Tips • PLA’s will automatically convert to Shopping Ads in August • Set-up Shopping Ads now and run in parallel – switch off PLA’s once Shopping ads are optimised • Design your hierarchy in advance – the more granular the better • Improve relevancy by: – Using Custom Labels – Adding lots of negatives – Improving Feed quality • Use benchmark data for optimisation: – Pause Product Groups with low CTR’s (use “Excluded” next to bid change) – Check CPC – change bids at Product Group level – Check Impression share • Use “Segment” to determine performance on devices and networks – you may want to use bid modifier for mobiles and/or pause Search Network
  • 20. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley What’s new in Shopping • Upgrade centre/help • Bid simulator • API – so reporting and bid management tools should now be upgraded • Local shopping results for store owners (currently in beta and free in the UK!) • Promotional attributes in feed – for offers (beta test)
  • 21. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Upgrade centre
  • 22. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Shopping ads – local stores with stock Set-up
  • 23. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Ads offers and trust signals
  • 24. London | 10–13 February 2014 | #SESLON | @SESConf @AnnStanley Thank you ann@anicca.co.uk 07930 384443