Enhanced eCommerce from Google brought a whole suite of new reports and data visualizations to help retailers better analyze how easily visitors find, view and purchase products on their sales. But great data leads to a very important question - what do you do with all this information?
This webinar took a deep dive into Enhanced eCommerce from Google Analytics. Throughout this presentation, you will learn not just how to uncover opportunities, but also how to use this data to drive site optimization through an A/B testing tool like Optimizely.
If you have any questions, visit http://goo.gl/kCOEfH
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ENHANCED FEATURE SET
Tracks the following activities:
• Product impressions
• Product clicks
• Viewing product details
• Adding a product to a shopping cart
• Initiating the checkout process
• Transactions
• Refunds
Also supports measurement for internal promotions
• Impressions and clicks on content spots on the site for example
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IMPROVED ECOMMERCE EFFICIENCY
Old way
New way
• Custom tags
• Manual downloads and formulas
• Segments mean more downloads =
• Out of the box tags
• Pre-configured reports and calculations
• Segmentation built-in to view
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IMPLEMENTATION OVERVIEW
1
2
3
4
5
Upgrade to Google Tag Manager if you haven’t already
Prioritize the Enhanced Ecommerce features and customizations
Developers deploy page code to add Enhanced Ecommerce “hooks”
Business builds and deploys tags in Google Tag Manager
Enable the Enhanced Ecommerce features in the report suite
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ANALYTICS & OPTIMIZATION
Enhanced = More Efficient = More Time For Action
Add
Tracking
Data
Collection
Manual
Data
Parsing
Data
Analysis
Action
Add
Tracking
Data
Collection
Data
Analysis
Action
Classic Google Analytics
With Enhanced Ecommerce
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ENHANCED ECOMMERCE & A/B TESTING
Learning from Product Page Categorization
Peanut Butter Cups 3.3%
Kisses 2.8%
Bars 3.1%
Gift Box 0.7%
Conversion Rate by Product Type
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ENHANCED ECOMMERCE & A/B TESTING
Turning Data Into Action: Apply Expertise to Turn Metrics to Insights
What differences can we identify about this product category compared to others?
• Is this product category subject to more intense competition?
• Is it a more complex product category?
• Is it a higher price point?
• Is this product category little differentiated from others?
• Does this product work less well in our e-commerce template than others?
• Has there been a specific media campaign driving to this product category
vs. others
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ENHANCED ECOMMERCE & A/B TESTING
Turning Data Into Action: Insight-Driven Testing
Insight:
Conversion Rate is lower for Gift Tins product category because it’s a relatively
complex product at a higher price point; the template may therefore work less well for
this category.
What should we do about it?
Generate
Hypotheses
Smartly
Prioritize
Develop and
Test
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ENHANCED ECOMMERCE & A/B TESTING
Turning Data Into Action: Generate Hypotheses & Prioritize
Insight:
Conversion Rate is lower for Gift Tins product category because it’s a relatively
complex product at a higher price point; the template may therefore work less well for
this category.
• That the higher price point of the Gift
Tin category can be countered with
framing of different price points in the
PLP environment
• That additional, and/or larger, images
will better represent the additional
complexity and depth of value of the
Gift Tin product category
• That bolding and making the ‘Tin
Contains’ bullet points higher in the
description will better communicate
the quality and value of the Gift Tin
• That adding ‘saving’ messaging can
communicate the value of buying in
bulk vs. individual products
• That emphasizing the free, deluxe
shipping options this product qualifies
for in a different way might reduce the
incremental barrier of purchasing a
more expensive product
• That an interactive animation will
better showcase the value of the Gift
Tin through rich imagery
Hypotheses:
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ADVANCED: PERSONALIZATION
Building a Personalization Practice
Apply
segmentation in
your Google
Analytics and
Optimizely
Results
Test to
identify the
best
experience
per audience.
Deliver
optimized
experiences
to key
audiences to
drive greater
value.
1. Discover 2. Validate 3. Deliver
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Q&A IN PROGRESS
About CrossView
• Integrating Commerce.
17 years of experience integrating
platforms and technology.
• Optimizing Commerce.
Business and technology to maximize
results, achieve peak performance and
optimize your investment in commerce
technology.
• Managing Commerce.
Removing the stress and reducing the cost
of managing your site. Ensuring fast,
access to the right resources – people,
processes, tools.
• Omni-Commerce Enablement.
Leveraging the power of CrossView
Connect, we will transform your ecommerce
platform into an order entry and order
management hub across your enterprise.
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Jenny Elliott
Senior Manager, Digital Analytics
jelliott@crossview.com
Hudson Arnold
Strategic Optimization Consultant
hudson.arnold@optimizely.com
Notas do Editor
Taken piecemeal, today we’re going to talk about Enhanced Ecommerce from Google, and we’ll talk through A/B testing with Optimizely, but the real message today is to connect the dots. Connect the dots between systems, such as between Optmizely and Google Analytics, between teams, analytics and UX, and between strategies. Successful companies are connecting the what (analytics) with the why (UX) and actually making changes on the site. Far too often the analytics team is pulling loads of data, and the UX team is running some qualitative tests, but they don’t work together as often as they should. We are absolutely going to be talking about features and implementation specifics when it comes to EE, as well as how Optmizely functions and feeds valuable data back into Google, but the goal, the focus is showing you the whole strategy of taking all this information, and driving business change.
Technical vs creative execution
Tools – GA is good at XYZ vs Optmizely is good at PDQ
Customer and Agency – good at understanding their goals vs good at understanding how to turn opportunities into results
While the analytics piece is focused on Google Analytics, the use cases we’ll walk through of using data to identify an opportunity, hypothesize a reason qhy and then act on it via A/B testing is something that absolutely is applicable to any team, regardless of whether GA was the source of your data or if you used Coremetrics or Omniture.
Image of a cliff with a bunch of great ideas thrown over into the valley.
A/B testing helps us build that bridge to carry great ideas over to
Enhanced Ecommerce is Exciting, Engaging, (not without Effort)
The missing link – other analytics tools had this data out of the box, but we had to hack at it to get something similar.
EE completes the view of the visitor experience. Understanding how visitors find and interact with an eCommerce retailers greatest assets
Hack view vs new and improved – repurpose the timeline for optimization
Value in looking at both high-level (vital checks) vs deep dive
Looking at metrics more in line with how you view your business – merchandiser’s view.
Old way – URLs, Events, custom vars/dimensions, vlookups, pivot tables being refreshed
New way – preformatted reports
Add Custom Event for Prod Views and Prod Add to Cart -> Export data to Excel -> Create calculation on your own
Can be done via Google Tag Manager or hard coded. Recommend using Google Tag Manager. Anytime you need to invest development resources into Google and you’re NOT already on GTM, you should take this opportunity to do so
Prioritize Product View, Add, Buy
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Details on Customizations such as product finding method, margin
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Fewer steps = more time for action
Let’s say EE showed us low add to cart rate for a certain product category. When I’ve collected this data, the questions that come to mind initially are 1) is there information missing from this page that could help someone click the add to cart button and/or 2) is there some usability issue with button placement/color that is confusing the visitor?
Efficiency
Let’s say EE showed us low add to cart rate for a certain product category. When I’ve collected this data, the questions that come to mind initially are 1) is there information missing from this page that could help someone click the add to cart button and/or 2) is there some usability issue with button placement/color that is confusing the visitor?