This document discusses Google Shopping and Merchant Center. It provides an overview of how to set up and manage Shopping campaigns, including uploading product data through feeds or the Content API, using product dimensions for bidding and filtering, and creating product partitions to organize product inventory. The presenter provides code examples in Java for common tasks like setting up a Shopping campaign, defining product dimensions, and applying filters.
Google Shopping white paper covering best practices to structure your data. This is a follow up white paper from the product-specific PLA strategy I wrote about in part I. Please feel free to read both reports!
Google Shopping white paper covering best practices to structure your data. This is a follow up white paper from the product-specific PLA strategy I wrote about in part I. Please feel free to read both reports!
Retail Insights is an emerging boutique company that shelves point solutions; aims to engage, resolve and support day to day challenges of our customers. With a strong domain expertise in Retail as a backbone and handpicked technology leaders, we make a wonderful team driving next generation retail solutions.
Retail Insights today is all about connected customer experience across channels; an omni-channel business seamlessly costcnnecting clicks to bricks. Consumerization and Socially Engaged business platforms are the areas of focus to provide customer centric approach, beyond mobility, analytics and cloud.
Retail Insights customers have been able to achieve the following benefits from their Omni-channel initiatives:
* 15% increase of in-store sales
* 20% improvement in cross-sell effectiveness
* 40% reduction in time-to-market.
Retail Insights has helped customers over 50+ successful transformations, by being a partner in following areas:
Smarter Retails Platforms & Solutions (Omni Channel Needs)
1. In-store Kiosks – Price matches, Product Recommendations, Virtual Assistance etc.
2. Mobile Solutions– Contextual Offers, Geo Fencing, Endless Aisles, Retail Execution/Store Mapping and Self Checkouts etc.
3. Store Digitalization – Electronic SEL, Digital Signages, E-Catalogue, Mobile BI, Mobile POS & Augmented Reality
4. Eye Tracking Solutions like Interactive Screens
Better Connected Solutions to achieve ( Connected Customer Experience)
1. Single view of Customers across multiple channels
2. Personalised promotions
3. Single view of Inventory, Loyalty and Reward management & e-coupons
4.Click & Collect, Returns to Store, Drop Ship etc
Cloud Solutions to gain flexibility, agility and lower total cost of ownership
1.Migrating existing on-premise SW solutions to Private/Public Cloud environment
2.Implementing new SW solutions on a Private/Public Cloud environment
Shopping ads and buy buttons - what's new (June 2015)Ann Stanley
The huge growth in Google Shopping or Product Listing ads has meant massive innovation, with new features offered in Google and the announcement of the Google button. However Amazon, Facebook and social platforms have all responded by offering a range of products ads and buy buttons. This article presented at SASCon in Manchester gives an overview of the current status of all the options available to e-commerce merchants.
Advance Google Analytics Integration with Inventory DataPrinciple America
Enhanced Ecommerce (EEC) Tracking is one of the “must-have” features of Google Analytics, especially for e-commerce sites.
A marketer can get “Cart-to-Detail Rate” and “Buy-to-Detail Rate” for each product using EEC.
These metrics represent how much each product is attractive to customers and how likely the product got into the customer’s cart.
Products with high Cart-to-Detail Rate or Buy-to-Detail Rate can be appealing not only in e-commerce site but also in “brick and mortar” stores
Placing these high converting products at Point of Purchase (e.g. for in-store that could be “Candy Rack”) could contribute to incremental sales.
Using this dashboard, marketers could identify what products should be replenished quickly, and/or find incremental sales opportunity.
Google Shopping Campaigns - How to Drive SalesGoDataFeed
Google Shopping Campaigns slide deck will help you learn how to get the most ROI from Google Shopping’s new retail-centric format.
With 200% increase in clicks for some retailers, Google Shopping is increasingly becoming a critical shopping engine for any eCommerce retail store.
The slide deck covers topics such as the importance of data feed quality and freshness, the new Google shopping campaign structure, top bidding strategies and more. The original joint webinar presented by GoDataFeed and OperationROI can be seen in it's entirety at the link below.
http://www.godatafeed.com/resources/Google-Shopping-Campaigns
Product Listing ads Campaign - Google adwordsPayal Daryani
With Shopping campaigns, you can promote your products using Product Listing Ads, an ad format that includes an image, title, price, your business name, and more. You can create a Shopping campaign once you've submitted your product inventory to Google Merchant Center.
The AdWords API allows apps to interact directly with the AdWords platform, vastly increasing the efficiency of managing large or complex AdWords accounts and campaigns.
Retail is accelerating at a rapid pace. We've made a lot of improvements to SearchSpring, and our roadmap has developments that will help you stay ahead of the curve including: Product Recommendations, Personalization, and Rules Based Merchandising.
Retail Insights is an emerging boutique company that shelves point solutions; aims to engage, resolve and support day to day challenges of our customers. With a strong domain expertise in Retail as a backbone and handpicked technology leaders, we make a wonderful team driving next generation retail solutions.
Retail Insights today is all about connected customer experience across channels; an omni-channel business seamlessly costcnnecting clicks to bricks. Consumerization and Socially Engaged business platforms are the areas of focus to provide customer centric approach, beyond mobility, analytics and cloud.
Retail Insights customers have been able to achieve the following benefits from their Omni-channel initiatives:
* 15% increase of in-store sales
* 20% improvement in cross-sell effectiveness
* 40% reduction in time-to-market.
Retail Insights has helped customers over 50+ successful transformations, by being a partner in following areas:
Smarter Retails Platforms & Solutions (Omni Channel Needs)
1. In-store Kiosks – Price matches, Product Recommendations, Virtual Assistance etc.
2. Mobile Solutions– Contextual Offers, Geo Fencing, Endless Aisles, Retail Execution/Store Mapping and Self Checkouts etc.
3. Store Digitalization – Electronic SEL, Digital Signages, E-Catalogue, Mobile BI, Mobile POS & Augmented Reality
4. Eye Tracking Solutions like Interactive Screens
Better Connected Solutions to achieve ( Connected Customer Experience)
1. Single view of Customers across multiple channels
2. Personalised promotions
3. Single view of Inventory, Loyalty and Reward management & e-coupons
4.Click & Collect, Returns to Store, Drop Ship etc
Cloud Solutions to gain flexibility, agility and lower total cost of ownership
1.Migrating existing on-premise SW solutions to Private/Public Cloud environment
2.Implementing new SW solutions on a Private/Public Cloud environment
Shopping ads and buy buttons - what's new (June 2015)Ann Stanley
The huge growth in Google Shopping or Product Listing ads has meant massive innovation, with new features offered in Google and the announcement of the Google button. However Amazon, Facebook and social platforms have all responded by offering a range of products ads and buy buttons. This article presented at SASCon in Manchester gives an overview of the current status of all the options available to e-commerce merchants.
Advance Google Analytics Integration with Inventory DataPrinciple America
Enhanced Ecommerce (EEC) Tracking is one of the “must-have” features of Google Analytics, especially for e-commerce sites.
A marketer can get “Cart-to-Detail Rate” and “Buy-to-Detail Rate” for each product using EEC.
These metrics represent how much each product is attractive to customers and how likely the product got into the customer’s cart.
Products with high Cart-to-Detail Rate or Buy-to-Detail Rate can be appealing not only in e-commerce site but also in “brick and mortar” stores
Placing these high converting products at Point of Purchase (e.g. for in-store that could be “Candy Rack”) could contribute to incremental sales.
Using this dashboard, marketers could identify what products should be replenished quickly, and/or find incremental sales opportunity.
Google Shopping Campaigns - How to Drive SalesGoDataFeed
Google Shopping Campaigns slide deck will help you learn how to get the most ROI from Google Shopping’s new retail-centric format.
With 200% increase in clicks for some retailers, Google Shopping is increasingly becoming a critical shopping engine for any eCommerce retail store.
The slide deck covers topics such as the importance of data feed quality and freshness, the new Google shopping campaign structure, top bidding strategies and more. The original joint webinar presented by GoDataFeed and OperationROI can be seen in it's entirety at the link below.
http://www.godatafeed.com/resources/Google-Shopping-Campaigns
Product Listing ads Campaign - Google adwordsPayal Daryani
With Shopping campaigns, you can promote your products using Product Listing Ads, an ad format that includes an image, title, price, your business name, and more. You can create a Shopping campaign once you've submitted your product inventory to Google Merchant Center.
The AdWords API allows apps to interact directly with the AdWords platform, vastly increasing the efficiency of managing large or complex AdWords accounts and campaigns.
Retail is accelerating at a rapid pace. We've made a lot of improvements to SearchSpring, and our roadmap has developments that will help you stay ahead of the curve including: Product Recommendations, Personalization, and Rules Based Merchandising.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
7. Google Inc. - All Rights Reserved
Merchant Center
http://google.com/merchants
8. Google Inc. - All Rights Reserved
● A Merchant Center
account is tied to a
Google account
● Can be associated
with exactly one
website
● Must verify and
claim the site
Merchant Center
9. Google Inc. - All Rights Reserved
Multi-Client Accounts - same idea as MCCs in AdWords
Merchant Center
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● View products, but not edit
● Manage account and subaccounts
● Data quality and disapproval information
● Link to AdWords accounts
● Tax and delivery
Merchant Center
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The set of valid attributes for a product is listed in the
Products Feed Spec - http://goo.gl/IyS0u
id, title, description, link, price, brand, availability, condition,
...
Product Attributes
12. Google Inc. - All Rights Reserved
Merchant Center products can have some Shopping
campaign specific attributes
● adwords_redirect - The URL to send clicks to before
redirecting to the product landing page
● custom_label_0 … custom_label_4 - User defined fields
used for partitioning your product data.
AdWords Attributes
14. Google Inc. - All Rights Reserved
● Feeds are documents containing
product data
● CSV, XML, Google Sheets
● Fetched on schedule or uploaded
manually
● Processed only once every 24 hours
● Designed for non-technical users
Data Feeds
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Shopping Content API
16. Google Inc. - All Rights Reserved
● Manage products, data feeds, users, accounts
● Can make updates throughout the day
● Instant feedback on some data issues
Content API
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Shopping Campaigns
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How are Shopping campaigns different?
● AdvertisingChannelType is SHOPPING
● Must have a ShoppingSetting which sets
● The Merchant Center account to use for product data
● The target country of the products to use
● Optionally, a priority
● Must have a valid ProductPartition tree
Shopping Campaigns
19. Java
Google Inc. - All Rights Reserved
Creating a Shopping Campaign
// Create regular campaign
Campaign c = new Campaign();
c.setAdvertisingChannelType(
AdvertisingChannelType.SHOPPING);
// Set shopping attributes
ShoppingSetting shoppingSetting = new ShoppingSetting();
shoppingSetting.setMerchantId((long) 1234567);
shoppingSetting.setSalesCountry("GB");
shoppingSetting.setCampaignPriority(0);
c.setSettings(new Setting[] {shoppingSetting});
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Product Dimensions
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Make bidding decisions based on product data
● Category
● Brand
● Item ID
● Condition
● Product type
● Custom labels
Product Dimensions
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Category ProductBiddingCategory
Brand ProductBrand
Item ID ProductOfferId
Condition ProductCanonicalCondition
Product type ProductType
Custom labels ProductCustomAttribute
Product Dimensions
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ProductBrand and ProductOfferId are simple values
Product Dimensions
Java
ProductBrand productBrand = new ProductBrand();
productBrand.setValue("Nexus");
ProductOfferId productOfferId = new ProductOfferId();
productOfferId.setValue("book1");
24. Google Inc. - All Rights Reserved
ProductCanonicalCondition is an enumeration
Product Dimensions
Java
ProductCanonicalCondition c = new
ProductCanonicalCondition();
// Set the canonical condition using the ENUM
c.setCondition(
ProductCanonicalConditionCondition.NEW);
25. Google Inc. - All Rights Reserved
ProductCustomAttribute is a value with a type
Product Dimensions
Java
ProductCustomAttribute pca = new
ProductCustomAttribute();
pca.setType(ProductDimensionType.CUSTOM_ATTRIBUTE_0);
pca.setValue("my attribute value");
26. Google Inc. - All Rights Reserved
ProductType and ProductBiddingCategory are values with
a hierarchical type
A product type in Merchant Center of “Media > Books”
matches an L1 type of Media and an L2 type of Books
Product Dimensions
Java
ProductType productType = new ProductType();
productType.setType(
ProductDimensionType.PRODUCT_TYPE_L1);
productType.setValue("Media");
27. Google Inc. - All Rights Reserved
ProductBiddingCategory values are fixed IDs, retrieved
from the ConstantDataService
Product Dimensions
Java
Selector selector = new SelectorBuilder()
.equals("Country", "US")
.build();
ProductBiddingCategoryData[] results =
constantDataService
.getProductBiddingCategoryData(selector);
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Product Partitions
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Product Partitions
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Product Partitions
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Product Partitions
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Product Partitions
33. Google Inc. - All Rights Reserved
Root is a subdivision. It has no value and no parent
Product Partitions
Java
ProductPartition root = new ProductPartition();
root.setPartitionType(
ProductPartitionType.SUBDIVISION);
root.setId(-1);
34. Google Inc. - All Rights Reserved
Java
ProductPartition root = new ProductPartition();
root.setPartitionType(
ProductPartitionType.SUBDIVISION);
root.setId(-1);
Root is a subdivision. It has no value and no parent.
Product Partitions
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The Toys category is a unit. It has root as it’s parent.
Product Partitions
Java
ProductBiddingCategory toysDimension = ...
ProductPartition toys = new ProductPartition();
toys.setPartitionType(ProductPartitionType.UNIT);
toys.setParentCriterionId(root.getId());
toys.setCaseValue(toysDimension);
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To create an Other node, use a dimension with no value
Product Partitions
Java
ProductBrand otherBrand = new ProductBrand();
ProductBiddingCategory otherCat = new
ProductBiddingCategory();
otherCat.setType(ProductDimensionType.BIDDING_CATEGORY_L1);
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Filtering by channel
The Criterion ID for online is 200, and for local it is 201
ProductSalesChannel
Java
ProductSalesChannel channel = new
ProductSalesChannel();
channel.setId(200L);
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A ProductScope filters based on ProductDimensions
ProductScope
Java
ProductScope scope = new ProductScope();
ProductBrand brand = new ProductBrand();
brand.setValue("Nexus");
scope.setDimensions(
new ProductDimension[]{ brand });
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Resources
Documentation links
Shopping Content API - http://goo.gl/hJ1KER
Shopping Campaigns guide - http://goo.gl/sPnkic