The document provides quarterly search data updates for various clothing categories in the Netherlands:
- Women's clothing queries grew 28% in Q3 2013, with mobile queries up 112% and tablet up 114%, while desktop declined 4%
- Men's clothing queries grew 36% in Q3, with mobile up 116% and tablet 127%, while desktop rose 9%
- Children's clothing saw an 18% query increase, with mobile 99% higher and tablet 76% higher, whereas desktop fell 18%
- Data is presented on queries, impressions, clicks, click-through rates and costs per click for each category and device type from 2010 to Q3 2013
Webinar: Bastidores de uma Operação de E-commerceJET e-Commerce
A gestão interna de um e-commerce inclui processos importantes como logística, gerenciamento de pedidos, estoque, relatórios, inteligência, planejamento, entre outros. Um ERP com bom desempenho gera maior eficiência no e-commerce, agilidade do estoque, segurança das informações e redução de custos operacionais.
Mas você sabe como otimizar o fluxo operacional da sua loja? Neste webinar mostraremos os grandes e pequenos desafios enfrentados diariamente pelos varejistas e as melhores práticas para superá-los.
Palestrante:
Marco Campos é executivo sênior da área comercial da KPL. Está há mais de 7 anos no mercado de comércio eletrônico. Participou de mais de 50 implantações de ERP em empresas de diversos portes. Especialista em TI, consultor e palestrante na ABComm, ComSchool e PUC SP.
Webinar: Bastidores de uma Operação de E-commerceJET e-Commerce
A gestão interna de um e-commerce inclui processos importantes como logística, gerenciamento de pedidos, estoque, relatórios, inteligência, planejamento, entre outros. Um ERP com bom desempenho gera maior eficiência no e-commerce, agilidade do estoque, segurança das informações e redução de custos operacionais.
Mas você sabe como otimizar o fluxo operacional da sua loja? Neste webinar mostraremos os grandes e pequenos desafios enfrentados diariamente pelos varejistas e as melhores práticas para superá-los.
Palestrante:
Marco Campos é executivo sênior da área comercial da KPL. Está há mais de 7 anos no mercado de comércio eletrônico. Participou de mais de 50 implantações de ERP em empresas de diversos portes. Especialista em TI, consultor e palestrante na ABComm, ComSchool e PUC SP.
Este estudo encontrou áreas vulneráveis a inundações na cidade de Puerto Maldonado, especificamente na seção “Pueblo Viejo”. O estudo analisou o comportamento de uma avenida máxima nas margens do rio Tambopata na seção "Pueblo Viejo" foi analisado para 5, 10, 20, 50 é 100 anos de período de retorno para precipitação máxima, trazendo resultados em 50 anos para abrir uma inundação total na "cidade velha" sendo afetado terras agrícolas, o setor de infra-estrutura de terra e estado residencial.
Este estudo encontrou áreas vulneráveis a inundações na cidade de Puerto Maldonado, especificamente na seção “Pueblo Viejo”. O estudo analisou o comportamento de uma avenida máxima nas margens do rio Tambopata na seção "Pueblo Viejo" foi analisado para 5, 10, 20, 50 é 100 anos de período de retorno para precipitação máxima, trazendo resultados em 50 anos para abrir uma inundação total na "cidade velha" sendo afetado terras agrícolas, o setor de infra-estrutura de terra e estado residencial.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
8. Queries grew by 28% in Q3 2013 in the
Women's Clothing Category
Desktop queries declined by -4%, while Mobile queries grew by
112% and Tablet searches grew by 114% YoY in the same period
10. Women's Clothing:
All Devices Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
40%
$0.45
35%
Queries Y/Y
28.28%
$0.40
$0.35
30%
$0.30
25%
Impressions Y/Y
43.59%
$0.25
20%
$0.20
15%
Clicks Y/Y
25.88%
$0.15
10%
$0.10
5%
$0.05
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Women's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-12.33%
(5.75%)
CPC Y/Y
13.96%
($0.37)
11. Women's Clothing:
Desktop Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
50%
$0.45
45%
$0.40
40%
$0.35
Queries Y/Y
-3.72%
35%
$0.30
30%
Impressions Y/Y
9.83%
$0.25
25%
$0.20
20%
Clicks Y/Y
-1.56%
$0.15
15%
10%
$0.10
5%
$0.05
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Women's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-10.37%
(5.51%)
CPC Y/Y
17.52%
($0.41)
12. Women's Clothing:
Mobile Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
40%
$0.30
35%
Queries Y/Y
111.98%
$0.25
30%
$0.20
25%
20%
$0.15
15%
Impressions Y/Y
114.79%
Clicks Y/Y
96.40%
$0.10
10%
$0.05
5%
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Women's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-8.56%
(5.28%)
CPC Y/Y
20.28%
($0.20)
13. Women's Clothing:
Tablet Auction metrics evolution
$0.40
35%
30%
$0.30
25%
$0.25
20%
$0.20
15%
$0.15
10%
$0.10
5%
$0.05
$0.00
Queries Y/Y
114.32%
$0.35
0%
Queries, Impressions, Clicks and Ad CTR Index
40%
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Women's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Impressions Y/Y
234.88%
Clicks Y/Y
116.29%
Ad CTR Y/Y
-35.41%
(6.55%)
CPC Y/Y
27.53%
($0.35)
14. Women's Clothing:
Cross Platform Search Trends
13%
Women's
Clothing:
% of Queries by
Device
22%
14%
24%
73%
55%
Q3 2012
Q3 2013
Desktop
Tablet
Mobile
Source: Google internal search data, based on pre-categorised queries for the Women's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
16. Queries grew by 36% in Q3 2013 in the Men's
Clothing Category
Desktop queries grew by 9%, while Mobile queries grew by
116% and Tablet searches grew by 127% YoY in the same period
18. Men's Clothing:
All Devices Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
45%
$0.60
Queries Y/Y
35.94%
40%
$0.50
35%
30%
$0.40
Impressions Y/Y
48.66%
25%
$0.30
20%
15%
Clicks Y/Y
31.00%
$0.20
10%
$0.10
5%
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Men's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-11.88%
(4.66%)
CPC Y/Y
6.52%
($0.48)
19. Men's Clothing:
Desktop Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
50%
$0.60
Queries Y/Y
8.59%
45%
$0.50
40%
35%
$0.40
Impressions Y/Y
19.23%
30%
25%
$0.30
20%
Clicks Y/Y
11.31%
$0.20
15%
10%
$0.10
5%
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Men's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-6.64%
(4.62%)
CPC Y/Y
3.74%
($0.51)
20. Men's Clothing:
Mobile Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
50%
$0.35
45%
Queries Y/Y
116.17%
$0.30
40%
$0.25
35%
30%
Impressions Y/Y
111.61%
$0.20
25%
$0.15
20%
15%
$0.10
10%
$0.05
5%
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Men's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Clicks Y/Y
76.12%
Ad CTR Y/Y
-16.77%
(4.52%)
CPC Y/Y
52.53%
($0.27)
21. Men's Clothing:
Tablet Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
45%
$0.60
Queries Y/Y
127.09%
40%
$0.50
35%
30%
$0.40
Impressions Y/Y
242.01%
25%
$0.30
20%
15%
Clicks Y/Y
108.33%
$0.20
10%
$0.10
5%
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Men's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-39.09%
(4.84%)
CPC Y/Y
28.07%
($0.49)
22. Men's Clothing:
Cross Platform Search Trends
Men's Clothing:
% of Queries by
Device
12%
20%
12%
20%
76%
61%
Q3 2012
Q3 2013
Desktop
Tablet
Mobile
Source: Google internal search data, based on pre-categorised queries for the Men's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
24. Queries grew by 18% in Q3 2013 in the
Children's Clothing Category
Desktop queries declined by -18%, while Mobile queries grew by
99% and Tablet searches grew by 76% YoY in the same period
26. Children's Clothing:
All Devices Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
45%
$0.40
40%
Queries Y/Y
17.65%
$0.35
35%
$0.30
30%
Impressions Y/Y
15.80%
$0.25
25%
$0.20
20%
$0.15
15%
$0.10
10%
5%
$0.05
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Children's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Clicks Y/Y
5.05%
Ad CTR Y/Y
-9.28%
(5.37%)
CPC Y/Y
10.74%
($0.33)
27. Children's Clothing:
Desktop Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
70%
$0.45
Queries Y/Y
-18.30%
$0.40
60%
$0.35
50%
$0.30
40%
$0.25
30%
$0.20
Impressions Y/Y
-18.11%
Clicks Y/Y
-19.98%
$0.15
20%
$0.10
10%
$0.05
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Children's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-2.29%
(5.35%)
CPC Y/Y
10.80%
($0.36)
28. Children's Clothing:
Mobile Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
45%
$0.25
Queries Y/Y
98.59%
40%
$0.20
35%
30%
Impressions Y/Y
95.79%
$0.15
25%
20%
$0.10
Clicks Y/Y
71.64%
15%
10%
$0.05
5%
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Children's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Ad CTR Y/Y
-12.33%
(4.47%)
CPC Y/Y
32.35%
($0.20)
29. Children's Clothing:
Tablet Auction metrics evolution
Queries, Impressions, Clicks and Ad CTR Index
45%
$0.40
40%
Queries Y/Y
76.34%
$0.35
35%
$0.30
30%
Impressions Y/Y
139.27%
$0.25
25%
$0.20
20%
$0.15
15%
$0.10
10%
5%
$0.05
0%
$0.00
Queries Index
Clicks Index
Ad CTR
Impressions Index
CPC
Source: Google internal search data, based on pre-categorised queries for the Children's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
Clicks Y/Y
62.33%
Ad CTR Y/Y
-32.16%
(5.81%)
CPC Y/Y
28.21%
($0.32)
30. Children's Clothing:
Cross Platform Search Trends
15%
Children's
Clothing:
% of Queries by
Device
25%
20%
30%
65%
45%
Q3 2012
Q3 2013
Desktop
Tablet
Mobile
Source: Google internal search data, based on pre-categorised queries for the Children's Clothing. Note: In-quarter metrics for Query Volume and Ad
Depth are only available.
39. We started using Outsearching in march 2013. Since then we have more than
doubled our results and cut our conversion cost by 46%”
Sinisa Preradovic
Head of B2C Sales
Advanzia Bank S.A.