When done right, experimentation can help you validate the product you’re building and create winning customer experiences. And it doesn’t take a big engineering team to make this happen.
TrustRadius, the most trusted review site for business technology, uses experimentation to build an online community through website and server-side experimentation. The small but mighty TrustRadius team runs experiments throughout the buyer’s journey to engage different user personas and understand outcomes in real-time.
Watch the webinar recording featuring Rilo Stark, product manager at TrustRadius, and Jack Peden, senior software engineer, to understand their data-driven experimentation strategy and how TrustRadius uses Optimizely Web and Full Stack products to tailor experiences to different customer segments and mitigate risk through A/B/N and painted door tests.
How The Zebra Utilized Feature Experiments To Increase Carrier Card Engagemen...Optimizely
A/B testing is an essential element in any product managers playbook. However having the freedom and flexibility to customize testing based on what the data is saying often requires a lot of time and effort, particularly when it comes to engineering resources. Optimizely offers a flexible approach to experimentation through the use of feature testing, which provides more customization options without the additional development effort typically required to implement these feature optimizations. Megan Bubley, a Senior Product Manager at The Zebra, will share her experience working with Optimizely’s feature tests to create a results page where users can compare multiple auto insurance options driven by actual user needs, as well as her experience customizing the experience based on device platform.
Atlassian's Mystique CLI, Minimizing the Experiment Development CycleOptimizely
Mystique CLI is an Atlassian developed CLI for Optimizely Web. It is a multi-phase project that is currently focusing on improving the development cycle for growth engineers. Currently, Mystique is the standard for developing web experiments at Atlassian, and is capable of a wide variety of operations utilizing Optimizely's REST API. This includes creating, updating, testing, and duplicating experiments/personalization campaigns, as well as "promoting" these entities between Optimizely projects for different environments (e.g. from QA => Prod). It has significantly reduced manual overhead and decreased development time by up to 95% for particular actions.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
AMC Networks Experiments Faster on the Server SideOptimizely
Speeding up innovation only matters if it helps you drive positive outcomes. At AMC, experimentation enables the product and platform teams to challenge their assumptions, maximize impact, and evaluate ideas as painted door tests before investing in significant development. A commitment to test everything across 9 platforms fueled their search for the most scalable solution.
In this session, you'll learn how to:
Leverage server-side testing to experiment quickly
Scale across web, mobile, and OTT applications
Determine when client-side testing is more efficient
[Webinar] Innovate Faster by Adopting The Modern Growth StackOptimizely
Adopting a growth mindset requires that product teams become experts in their customers’ behavior. But often legacy technologies simply count clicks and users, and fail to provide insights that product teams need to accelerate growth.
Attend this webinar and learn how the modern growth stack can help you:
-Overcome obstacles that often prevent enterprises from moving quickly
-Use experimentation and product analytics to reduce uncertainty and increase data-driven decisions
-Design a Modern Growth Stack built from best of breed solutions to accelerate product innovation
This webinar is part of our Change the Game series.
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
Ahead of the Curve: How 23andMe Improved UX with Performance EdgeOptimizely
Courtney Ball and Antonio Contreras from 23andMe’s Web Marketing and Engineering teams will share their experience using Optimizely Web’s latest development, Performance Edge. The new technology makes experiments run faster by processing in the edge (CDN) rather than in the browser. Optimizely Product Manager, Whelan Boyd, will join the discussion about why speed matters and how to maintain high performance when you are experimenting at scale.
How The Zebra Utilized Feature Experiments To Increase Carrier Card Engagemen...Optimizely
A/B testing is an essential element in any product managers playbook. However having the freedom and flexibility to customize testing based on what the data is saying often requires a lot of time and effort, particularly when it comes to engineering resources. Optimizely offers a flexible approach to experimentation through the use of feature testing, which provides more customization options without the additional development effort typically required to implement these feature optimizations. Megan Bubley, a Senior Product Manager at The Zebra, will share her experience working with Optimizely’s feature tests to create a results page where users can compare multiple auto insurance options driven by actual user needs, as well as her experience customizing the experience based on device platform.
Atlassian's Mystique CLI, Minimizing the Experiment Development CycleOptimizely
Mystique CLI is an Atlassian developed CLI for Optimizely Web. It is a multi-phase project that is currently focusing on improving the development cycle for growth engineers. Currently, Mystique is the standard for developing web experiments at Atlassian, and is capable of a wide variety of operations utilizing Optimizely's REST API. This includes creating, updating, testing, and duplicating experiments/personalization campaigns, as well as "promoting" these entities between Optimizely projects for different environments (e.g. from QA => Prod). It has significantly reduced manual overhead and decreased development time by up to 95% for particular actions.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
AMC Networks Experiments Faster on the Server SideOptimizely
Speeding up innovation only matters if it helps you drive positive outcomes. At AMC, experimentation enables the product and platform teams to challenge their assumptions, maximize impact, and evaluate ideas as painted door tests before investing in significant development. A commitment to test everything across 9 platforms fueled their search for the most scalable solution.
In this session, you'll learn how to:
Leverage server-side testing to experiment quickly
Scale across web, mobile, and OTT applications
Determine when client-side testing is more efficient
[Webinar] Innovate Faster by Adopting The Modern Growth StackOptimizely
Adopting a growth mindset requires that product teams become experts in their customers’ behavior. But often legacy technologies simply count clicks and users, and fail to provide insights that product teams need to accelerate growth.
Attend this webinar and learn how the modern growth stack can help you:
-Overcome obstacles that often prevent enterprises from moving quickly
-Use experimentation and product analytics to reduce uncertainty and increase data-driven decisions
-Design a Modern Growth Stack built from best of breed solutions to accelerate product innovation
This webinar is part of our Change the Game series.
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
Ahead of the Curve: How 23andMe Improved UX with Performance EdgeOptimizely
Courtney Ball and Antonio Contreras from 23andMe’s Web Marketing and Engineering teams will share their experience using Optimizely Web’s latest development, Performance Edge. The new technology makes experiments run faster by processing in the edge (CDN) rather than in the browser. Optimizely Product Manager, Whelan Boyd, will join the discussion about why speed matters and how to maintain high performance when you are experimenting at scale.
Getting Started with Server-Side TestingOptimizely
One of the most difficult aspects of deep experimentation ― which requires a full stack solution and server-side testing ― is laying a solid foundation for success. Join Optimizely and WiderFunnel to learn best practices for going beyond client-side testing, and implementing a full stack experimentation strategy to drive results on the entire customer journey.
-How to identify your key success metrics, such as customer retention and lifetime value
-How to integrate experimentation into your product roadmap
-How to start testing on your full customer journey
Watch Dan Ross, Managing Director for Optimizely ANZ in our latest webinar from the Experimentation Insights Tour -- "7 Habits of Highly Effective Personalisation Organisations”
Watch the webinar here: https://optimizely.wistia.com/medias/cun66mnkwt
Take Optimizely's Maturity Assessment here: https://www.optimizely.com/maturity-model/
DESCRIPTION: Create a data-driven culture and affect business decisions at the broader company level. When most people think of experimentation or testing, they think of sales and marketing.
However, to do real customer experience optimisation, you need to think about all the ways your customers are interacting with you.
The right mix to support building your programme into a centre of excellence is critical: you need a team that helps create a data-driven culture.
Watch this webinar so you can:
* Think more deeply about the future of your program and the makeup of your team
* Consider which hard and soft skill sets your testing organisation needs
* Build a well-rounded optimisation team that is visible, sustainable, and efficient
About Optimizely
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
In this session, you will learn: how to embed feature flagging sitewide to deliver safer, faster releases, best practices for implementing feature flags in a services-oriented architecture, and the latest enhancements you need to help your team recover faster when ship happens.
The Future of Optimizely for Technical TeamsOptimizely
Optimizely has been reimagining the future of progressive delivery and experimentation, improving every part of the platform to empower technical teams to build, ship, and iterate faster. Learn about the latest enhancements to Optimizely Full Stack and the Optimizely Data Platform, and get a sneak peek at the upcoming roadmap.
For a company like Blue Apron that is radically transforming the way we buy, prepare and eat meals, experimentation is mission critical for delivering a great customer experience. Blue Apron doesn’t just think about experimenting to improve short term conversion, they focus on ways to impact longer term metrics like retention, referrals, and lifetime value.
Join John Cline, engineering manager at Blue Apron, to learn how his team has built their experimentation program on Optimizely’s platform.
Attend this webinar to learn:
-How Blue Apron built their experimentation program on top of Optimizely Full Stack
-How developers play a critical role in experimentation
-The key considerations for developers when thinking about experimentation
To go from one-off testing to building an experimentation program, you need new tools to help you manage ideas, coordinate across teams, and share knowledge across your organization.
We built Optimizely Program Management to help companies increase the scale and velocity of their experimentation programs so that they can iterate and innovate faster than ever before.
Attend this webinar to learn how to:
-Effectively scale your experimentation with Program Management
-Collaborate more effectively across multiple teams and stakeholders
-Report on your experimentation program holistically and uncover new insights
At Charles Schwab, they have a mantra of viewing the world through their client’s eyes. When it comes to building digital experiences and running experiments, winning isn’t just about moving metrics, it’s also about improving customer experience. Sara Tresch, SVP of Digital Services at Schwab will be discussing how Schwab designs products and experiments with a client-first mindset.
Failure is an Option: Scaling Resilient Feature DeliveryOptimizely
Designing a perfect, failproof software delivery system is impossible. Failures will happen. What's more important is the speed and reliability of your recovery.
Shipping with feature flags helps you limit your risk in the first place and recover faster when the unexpected happens.
Today, with Optimizely Agent, companies that build their apps using service-oriented architectures can achieve production-scale faster with their feature delivery and experimentation platform.
Improve your content: The What, Why, Where and How about A/B Testingintrotodigital
A/B testing, also known as split testing, is a user experience research methodology where users are randomly split into two or more groups to see different versions of the same element. This presentation explains what is A/B testing, why you need it, where you can apply it and how to conduct an A/B test.
How We Do It: Proven Website Personalization StrategiesOptimizely
Join us to learn the strategy behind Optimizely’s own personalization and experimentation program. You’ll leave with insights and tactical examples you can implement right away.
In this webinar you’ll learn:
- Why it’s important to incorporate experimentation into your personalization program to avoid common personalization pitfalls
- What metrics you should track to prove funnel impact and website engagement
- How to build a simple yet effective technology stack to bring your personalization strategy to life
Learn how Optimizely works on your website.
Topics covered include:
-Snippet Implementation
-Snippet Delivery and Timing
-Common Causes of Flashing
-Snippet & Website Performance
-Tips & Tricks
Today, Atlassian runs experiments and personalization campaigns across all their products, campaigns, and commerce. But it wasn’t always like this. Atlassian started small and at their own pace, grew across the enterprise.
Join Tom Tsao, the head of eCommerce at Atlassian, to learn how they evolved, from the origins of their program, to their process and team structure.
-Learn how to build a program around digital experience optimization using Optimizely.
-Get advanced use cases that deliver business impact.
-Learn what metrics are important in measuring the growth of your program.
How Clorox Experiments Across Brands to Turn Visitors into ConsumersOptimizely
As more brands focus on digital marketing and Direct-to-Consumer strategies, experimentation can help them efficiently increase consumer engagement. At Clorox, a data-driven experimentation strategy helps them leverage insights across multiple brands.
Watch the on-demand webinar to learn:
- How Clorox gathers insights from omnichannel experimentation to turn visitors into consumers
- Clorox’s experimentation strategy including how an experiment to remove price friction helped their conversion rate optimization
- The process behind creating “Ways of Working” for experimentation programs across Clorox’s Direct-to-Consumer (DTC) brands
uShip - Building a Culture Rooted in ExperimentationOptimizely
uShip is an online marketplace that matches consumer and business shippers with transporters. Over the past year plus, they have been working to build their experimentation program, both from a product and marketing perspective.
Through this focused program investment, uShip has increased their experiment velocity by over 450%, and has multiple product teams testing and using staged feature rollouts. All of this has minimized risk to product rollouts while ensuring customer adoption. It hasn’t always been easy, but they know that doubling down on experimentation is integral to their success.
In this webinar, Jamy Squillace & Brooks Lyford from uShip will share how they started an experimentation program from scratch, gained stakeholder buy-in, and are building a culture of experimentation, focused on testing everywhere.
Join us and learn:
How to build an experimentation program from the ground up
Best practices to balance product and client-side experimentation, leveraging Optimizely’s full platform
How to socialize experimentation throughout the organization and begin creating a culture of experimentation
Intuit - How to Scale Your Experimentation ProgramOptimizely
Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
The Wall Street Journal - Optimizing MembershipOptimizely
For the past three years, The Wall Street Journal has used experimentation to help create their membership experience. Starting with acquisition and expanding to engagement, product, and retention testing, WSJ has built a data-driven culture that leverages these experiments to deliver a premium experience that grows their base and keeps members coming back for more.
In this webinar, Olivia Simon from The Wall Street Journal’s optimization team shares how WSJ created their robust and successful testing program.
You’ll learn:
How to think about testing in a membership ecosystem
How WSJ prioritizes tests and earns stakeholder buy-in
About WSJ’s emphasis on testing throughout the customer acquisition funnel
How WSJ expanded their testing funnel beyond acquisition, and the key testing moments they target for consumer engagement and retention
Outperform Webinar Series: How to Capture Your Customers at the Top of the Fu...Optimizely
How to Capture Your Customers at the Top of the Funnel
Website metrics, like purchases and form submissions, are top of mind for marketers—but how can you impact those key metrics if users leave as soon as they land on your website?
Join Optimizely’s lead strategy consultant, Alek Toumert, to learn how to engage visitors the moment they arrive at your site through experimentation.
Web optimization is a vital part of the evolution of customer experience. As performance has become an increasingly more important consideration and experimentation has been driven deeper into the behavioral layer of web pages or apps, brands are turning to server-side optimization solutions to help solve the need for greater testing & optimization across every aspect of the consumer’s journey.
Testing Across the Enterprise: How Cox Automotive Scales Experimentation to M...Optimizely
In today’s digital economy, consumers expect to buy everything online, even a purchase as significant as a car. Cox Automotive, parent company to brands including Autotrader and Kelley Blue Book, has more than 40,000 auto dealer clients across five continents, and is enabling them to keep up with consumer behavior and insights by implementing an enterprise wide experimentation program. Cox is bridging the gap between consumers, manufacturers, dealers, and lenders at every stage of the automotive experience.
In this session, you’ll hear how this multi-brand, international, matrixed organization has built an enterprise experimentation program that is flexible enough to adapt to various business models and modern-day demands for speed while maintaining testing best practices, r
Clover Rings Up Digital Growth to Drive ExperimentationOptimizely
Clover's Digital Growth team is responsible for optimizing the merchant's digital experience and they rely on experimentation to guide digital decision-making. This enables them to quickly learn and measure what changes deliver the best outcomes for users.
Join us with Lead Product Manager of Growth, Monil Shah, to learn how Clover:
- Increased digital conversions amongst merchants with an investment in experimentation
- Grew experiment velocity by 4x after replacing Adobe Target
- Designed a framework to efficiently capture and prioritize test ideas, and roll out winners
Unifying feature management with experiments - Server Side Webinar (1).pdfVWO
What’s common across companies like Netflix, Airbnb, Amazon, and Google? - Their ability to continuously experiment and roll out enhancements quickly across all aspects of their business. Today, every business is fundamentally a technology business. To stay ahead of the competition, you must iterate quickly with experiments across configurations in search algorithms, navigation, checkout flows, discounts, and security settings without breaking existing experience. That’s precisely what unifying experimentation with feature management enables for you.
Join Thejas Sridhar, Manager of Product Marketing, to explore the power of unifying A/B testing and feature management for continuous development.
Getting Started with Server-Side TestingOptimizely
One of the most difficult aspects of deep experimentation ― which requires a full stack solution and server-side testing ― is laying a solid foundation for success. Join Optimizely and WiderFunnel to learn best practices for going beyond client-side testing, and implementing a full stack experimentation strategy to drive results on the entire customer journey.
-How to identify your key success metrics, such as customer retention and lifetime value
-How to integrate experimentation into your product roadmap
-How to start testing on your full customer journey
Watch Dan Ross, Managing Director for Optimizely ANZ in our latest webinar from the Experimentation Insights Tour -- "7 Habits of Highly Effective Personalisation Organisations”
Watch the webinar here: https://optimizely.wistia.com/medias/cun66mnkwt
Take Optimizely's Maturity Assessment here: https://www.optimizely.com/maturity-model/
DESCRIPTION: Create a data-driven culture and affect business decisions at the broader company level. When most people think of experimentation or testing, they think of sales and marketing.
However, to do real customer experience optimisation, you need to think about all the ways your customers are interacting with you.
The right mix to support building your programme into a centre of excellence is critical: you need a team that helps create a data-driven culture.
Watch this webinar so you can:
* Think more deeply about the future of your program and the makeup of your team
* Consider which hard and soft skill sets your testing organisation needs
* Build a well-rounded optimisation team that is visible, sustainable, and efficient
About Optimizely
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
In this session, you will learn: how to embed feature flagging sitewide to deliver safer, faster releases, best practices for implementing feature flags in a services-oriented architecture, and the latest enhancements you need to help your team recover faster when ship happens.
The Future of Optimizely for Technical TeamsOptimizely
Optimizely has been reimagining the future of progressive delivery and experimentation, improving every part of the platform to empower technical teams to build, ship, and iterate faster. Learn about the latest enhancements to Optimizely Full Stack and the Optimizely Data Platform, and get a sneak peek at the upcoming roadmap.
For a company like Blue Apron that is radically transforming the way we buy, prepare and eat meals, experimentation is mission critical for delivering a great customer experience. Blue Apron doesn’t just think about experimenting to improve short term conversion, they focus on ways to impact longer term metrics like retention, referrals, and lifetime value.
Join John Cline, engineering manager at Blue Apron, to learn how his team has built their experimentation program on Optimizely’s platform.
Attend this webinar to learn:
-How Blue Apron built their experimentation program on top of Optimizely Full Stack
-How developers play a critical role in experimentation
-The key considerations for developers when thinking about experimentation
To go from one-off testing to building an experimentation program, you need new tools to help you manage ideas, coordinate across teams, and share knowledge across your organization.
We built Optimizely Program Management to help companies increase the scale and velocity of their experimentation programs so that they can iterate and innovate faster than ever before.
Attend this webinar to learn how to:
-Effectively scale your experimentation with Program Management
-Collaborate more effectively across multiple teams and stakeholders
-Report on your experimentation program holistically and uncover new insights
At Charles Schwab, they have a mantra of viewing the world through their client’s eyes. When it comes to building digital experiences and running experiments, winning isn’t just about moving metrics, it’s also about improving customer experience. Sara Tresch, SVP of Digital Services at Schwab will be discussing how Schwab designs products and experiments with a client-first mindset.
Failure is an Option: Scaling Resilient Feature DeliveryOptimizely
Designing a perfect, failproof software delivery system is impossible. Failures will happen. What's more important is the speed and reliability of your recovery.
Shipping with feature flags helps you limit your risk in the first place and recover faster when the unexpected happens.
Today, with Optimizely Agent, companies that build their apps using service-oriented architectures can achieve production-scale faster with their feature delivery and experimentation platform.
Improve your content: The What, Why, Where and How about A/B Testingintrotodigital
A/B testing, also known as split testing, is a user experience research methodology where users are randomly split into two or more groups to see different versions of the same element. This presentation explains what is A/B testing, why you need it, where you can apply it and how to conduct an A/B test.
How We Do It: Proven Website Personalization StrategiesOptimizely
Join us to learn the strategy behind Optimizely’s own personalization and experimentation program. You’ll leave with insights and tactical examples you can implement right away.
In this webinar you’ll learn:
- Why it’s important to incorporate experimentation into your personalization program to avoid common personalization pitfalls
- What metrics you should track to prove funnel impact and website engagement
- How to build a simple yet effective technology stack to bring your personalization strategy to life
Learn how Optimizely works on your website.
Topics covered include:
-Snippet Implementation
-Snippet Delivery and Timing
-Common Causes of Flashing
-Snippet & Website Performance
-Tips & Tricks
Today, Atlassian runs experiments and personalization campaigns across all their products, campaigns, and commerce. But it wasn’t always like this. Atlassian started small and at their own pace, grew across the enterprise.
Join Tom Tsao, the head of eCommerce at Atlassian, to learn how they evolved, from the origins of their program, to their process and team structure.
-Learn how to build a program around digital experience optimization using Optimizely.
-Get advanced use cases that deliver business impact.
-Learn what metrics are important in measuring the growth of your program.
How Clorox Experiments Across Brands to Turn Visitors into ConsumersOptimizely
As more brands focus on digital marketing and Direct-to-Consumer strategies, experimentation can help them efficiently increase consumer engagement. At Clorox, a data-driven experimentation strategy helps them leverage insights across multiple brands.
Watch the on-demand webinar to learn:
- How Clorox gathers insights from omnichannel experimentation to turn visitors into consumers
- Clorox’s experimentation strategy including how an experiment to remove price friction helped their conversion rate optimization
- The process behind creating “Ways of Working” for experimentation programs across Clorox’s Direct-to-Consumer (DTC) brands
uShip - Building a Culture Rooted in ExperimentationOptimizely
uShip is an online marketplace that matches consumer and business shippers with transporters. Over the past year plus, they have been working to build their experimentation program, both from a product and marketing perspective.
Through this focused program investment, uShip has increased their experiment velocity by over 450%, and has multiple product teams testing and using staged feature rollouts. All of this has minimized risk to product rollouts while ensuring customer adoption. It hasn’t always been easy, but they know that doubling down on experimentation is integral to their success.
In this webinar, Jamy Squillace & Brooks Lyford from uShip will share how they started an experimentation program from scratch, gained stakeholder buy-in, and are building a culture of experimentation, focused on testing everywhere.
Join us and learn:
How to build an experimentation program from the ground up
Best practices to balance product and client-side experimentation, leveraging Optimizely’s full platform
How to socialize experimentation throughout the organization and begin creating a culture of experimentation
Intuit - How to Scale Your Experimentation ProgramOptimizely
Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
The Wall Street Journal - Optimizing MembershipOptimizely
For the past three years, The Wall Street Journal has used experimentation to help create their membership experience. Starting with acquisition and expanding to engagement, product, and retention testing, WSJ has built a data-driven culture that leverages these experiments to deliver a premium experience that grows their base and keeps members coming back for more.
In this webinar, Olivia Simon from The Wall Street Journal’s optimization team shares how WSJ created their robust and successful testing program.
You’ll learn:
How to think about testing in a membership ecosystem
How WSJ prioritizes tests and earns stakeholder buy-in
About WSJ’s emphasis on testing throughout the customer acquisition funnel
How WSJ expanded their testing funnel beyond acquisition, and the key testing moments they target for consumer engagement and retention
Outperform Webinar Series: How to Capture Your Customers at the Top of the Fu...Optimizely
How to Capture Your Customers at the Top of the Funnel
Website metrics, like purchases and form submissions, are top of mind for marketers—but how can you impact those key metrics if users leave as soon as they land on your website?
Join Optimizely’s lead strategy consultant, Alek Toumert, to learn how to engage visitors the moment they arrive at your site through experimentation.
Web optimization is a vital part of the evolution of customer experience. As performance has become an increasingly more important consideration and experimentation has been driven deeper into the behavioral layer of web pages or apps, brands are turning to server-side optimization solutions to help solve the need for greater testing & optimization across every aspect of the consumer’s journey.
Testing Across the Enterprise: How Cox Automotive Scales Experimentation to M...Optimizely
In today’s digital economy, consumers expect to buy everything online, even a purchase as significant as a car. Cox Automotive, parent company to brands including Autotrader and Kelley Blue Book, has more than 40,000 auto dealer clients across five continents, and is enabling them to keep up with consumer behavior and insights by implementing an enterprise wide experimentation program. Cox is bridging the gap between consumers, manufacturers, dealers, and lenders at every stage of the automotive experience.
In this session, you’ll hear how this multi-brand, international, matrixed organization has built an enterprise experimentation program that is flexible enough to adapt to various business models and modern-day demands for speed while maintaining testing best practices, r
Clover Rings Up Digital Growth to Drive ExperimentationOptimizely
Clover's Digital Growth team is responsible for optimizing the merchant's digital experience and they rely on experimentation to guide digital decision-making. This enables them to quickly learn and measure what changes deliver the best outcomes for users.
Join us with Lead Product Manager of Growth, Monil Shah, to learn how Clover:
- Increased digital conversions amongst merchants with an investment in experimentation
- Grew experiment velocity by 4x after replacing Adobe Target
- Designed a framework to efficiently capture and prioritize test ideas, and roll out winners
Unifying feature management with experiments - Server Side Webinar (1).pdfVWO
What’s common across companies like Netflix, Airbnb, Amazon, and Google? - Their ability to continuously experiment and roll out enhancements quickly across all aspects of their business. Today, every business is fundamentally a technology business. To stay ahead of the competition, you must iterate quickly with experiments across configurations in search algorithms, navigation, checkout flows, discounts, and security settings without breaking existing experience. That’s precisely what unifying experimentation with feature management enables for you.
Join Thejas Sridhar, Manager of Product Marketing, to explore the power of unifying A/B testing and feature management for continuous development.
Accurate A/B tests can make a huge difference to the performance of your website. These slides will teach you how you can test ideas, copy, and designs without major investment in infrastructure. Optimizely partners with the Pantheon team to explain why A/B testing is essential to the success of your and your clients’ websites.
Geddes Munson, Mixpanel
Darrell Benatar, UserTesting.com
Shai Tamari, ClickTale
For many customers Optimizely has become a critical platform to listen to customers' web engagement and turn those data points into an improved experience. It's natural that users want to extend the Optimizely platform with all of their other marketing applications to become more effective in their decision making. Learn about a few of the complementary platforms to Optimizely that will help you unlock the most conversions from your web properties.
The partners attending discussed:
-How Clicktale's heatmaps and session playbacks can uncover the areas of the webpage that are most influential to your customers' decision-making process and may require further optimization
-How integrating Optimizely with the analytics platform Mixpanel can help you track more granular goals and view comprehensive reporting that seamlessly integrates with your business.
-Why you should use Usertesting.com to observe where customers are finding challenges on your site, and create tests to then improve their experience.
What Your Customers Really Do Online: 5 Ways to Remove the GuessworkOptimizely
As digital marketers and experience leaders, we have increasingly reduced our customers to merely data points, line graphs, and bar charts.
The problem is that we are losing the necessary insight and experimentation to understand human behavior across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioral impact on the bottom line, we need to start asking WHY.
In this webinar, hear from experts from Clicktale and Optimizely as they share experiences from working with brands like Samsung, Missguided, and RBS to uncover:
- What data and insights can uncover about customers’ digital behavior
- How to align metrics that look at measuring the experience, not just conversion
- How brands are scaling an approach to data, insights, and analytics across their organizations
- Best practices in ideation, A/B testing, and experimentation
Intro to Data Analytics with Oscar's Director of ProductProduct School
The Director of Product at Oscar, Vasudev Vadlamudi, went over key types of quantitative analysis that B2C product managers use on the job including: funnels, cohorts, and a/b testing. For each one he looked into when and why they are used, and used examples.
[Webinar] Visa's Journey to a Culture of ExperimentationOptimizely
Join us as we hear Ramkumar Ravichandran, the Director of A/B Testing at Visa Checkout, explain how he created a high impact experimentation program. Ram will take us through the growth of Visa’s program: from selling the value, to laying down the vision, the roadmap and success criteria, to creating the right team and driving engagement with the program.
Attend this webinar to learn:
-How an experimentation program drives business impact.
-A model to drive continuous stakeholder engagement with the program.
-How to build a roadmap that goes above and beyond simple UX optimization.
Optimizing Dev Portals with Analytics and FeedbackPronovix
Making informed decisions on which features to prioritize in a developer portal can be a daunting task. In this session, we'll show you how to leverage experiments, data, and user feedback to evaluate their potential and refine your approach. We'll explore how testing ideas with minimal investment, akin to an MVP, can help you avoid building features that don't meet your users' needs.
Conducting the Experimentation OrchestraOptimizely
Join us to hear from Jill Brown Thomas, the head of the Optimization program at Wolverine Worldwide, as she discusses her own experience changing culture and building a testing program across 12 very different brands. From alignment on people, to building process, to buying technology, to changing and establishing new culture, Jill will discuss what works and what doesn’t, and what the future holds for Wolverine’s Optimization Journey.
Attend this webinar and:
-How to unify best practices across a portfolio of brands.
-A new model for uncovering what’s important to test from Optimizely’s solution partner Clearhead.
-New use cases for running experiments that move the needle.
Lean startups en el mundo real ejemplos y metricasSoftware Guru
Ejemplos de startups usando las metodologias de Lean Startups y Customer Development, presentados no a nivel conceptual sino como casos de estudio incluyendo metricas y desarrollo a traves del tiempo.
Iron Mountain: Fueling Big Testing with Big Data - SiriusDecisions 2013ion interactive
Let’s face it: marketing is in a big data bubble. Everyone is talking about data: big data, data analytics, and big data analytics. At the root of all this data mania in marketing is the very real revolution that’s shaping more data-driven organizations. Big data is finally opening the door to the executive suite for a more hybrid creative-analytical method.
The key question data raises is how do we use it to not only know more about our customers, but to directly grow our business in significant ways? Iron Mountain has the answer: broadly embrace testing and controlled experimentation as the new “operating system” of marketing. The answer to big data’s potential is big testing.
Patrick McKenzie Opticon 2014: Advanced A/B TestingPatrick McKenzie
A/B Testing Beyond Headlines and Button Colors -- ideas for tests (particularly for B2B SaaS), common pitfalls in organizations, and how to overcome them.
Data - How to Use it & When by Square and Call Rail Product LeaderProduct School
Main Takeaways:
-It’s important to define success metrics before you start building your product or feature
-The goal is to validate a hypothesis--what you think users want--and the data might invalidate your hypothesis. This is a good thing! Keep iterating in that direction to identify and test the next hypothesis.
-Data is important to point you in the right direction, but it won’t answer “what is the perfect product?” To figure this out, you need to experiment, fail and repeat as fast as possible to find success.
implementing_ai_for_improved_performance_testing_the_key_to_success.pdfsarah david
Experience a revolution in software testing with our AI-driven Performance Testing solutions at Cuneiform Consulting. In a world dominated by technological advancements, implementing AI is the key to unlocking unparalleled software performance. Boost your applications with speed, scalability, and responsiveness, ensuring a seamless user experience. Cuneiform Consulting leads the way in reshaping quality assurance, adhering to the predictions of the World Quality Report for AI's significant role in the next decade. Join us to stay ahead, save costs with constant AI-powered testing, and explore the boundless possibilities of AI/ML development services. Contact us now for a future-proof digital transformation!
Similar to Test Everything: TrustRadius Delivers Customer Value with Experimentation (20)
Learn the real best practices and pitfalls of experimentation based on scientific research and insights. Hazjier is co-author of three studies on experimentation with Harvard Business School and his work is covered in the book Experimentation Works. This talk will dive into the best practices of experiment design, the role of hierarchy in experimentation teams, and the value of experimentation.
Autotrader Case Study: Migrating from Home-Grown Testing to Best-in-Class Too...Optimizely
Autotrader's Product and Engineering teams were ahead of the curve many years ago when they built a home-grown solution for leveraging feature flags to support server-side testing. Over the years, the industry eventually caught up and surpassed this proprietary tooling and the team had a choice to make: Re-invest into the local solution or completely retool. In this case study, Scott Povlot, Principal Technical Architect, and Seth Stuck, Director of R&D Analytics, will discuss their journey in selecting and then migrating to their next generation of experimentation tooling. They will discuss selection criteria, pros and cons, and outline how they were able to make the migration to Optimizely successful and lessons learned along the way.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
Empowering Agents to Provide Service from Anywhere: Contact Centers in the Ti...Optimizely
The coronavirus pandemic has pushed contact center leaders to accelerate technology adoption and empower their teams to work remotely. Join this session with State Farm, Salesforce, and Optimizely to learn how contact centers can adapt quickly and successfully in the time of COVID.
Our new normal has accelerated eCommerce trends by 4-6 years. The Optimizely team shares how experimentation can help retailers fast forward their online sales strategy with Microsoft Dynamics 365 Commerce.
Building an Experiment Pipeline for GitHub’s New Free Team OfferingOptimizely
In April 2020, GitHub announced a new Free for Teams plan. Behind the scenes, the engineering team was also setting up an experiment pipeline and an integration with Optimizely. In this session, we will take a peek at the process of setting up the integration, learning about the behavior of this new Free for Teams customer segment, and the next steps for this experiment pipeline.
Overcoming the Challenges of Experimentation on a Service Oriented ArchitectureOptimizely
Growing from an early stage startup to a national leader in financial literacy is no small feat, and there are a ton of lessons that we have learned at Greenlight as we have grown. Long gone are the days where we would ship something and cross our fingers hoping that it makes some kind of impact on our customers. Now we’re in a world where we can learn ahead of time how much impact a feature will have on the business, before we even launch! In today’s conversation, we’ll discuss how we use Optimizely’s feature flags in our microservice architecture using Optimizely Agent while keeping user IDs and context synchronized.
This session will cover:
How we set up Optimizely Agent and use it in a kubernetes deployment
How we created a user-aliasing service
How we access Optimizely both on the frontend and in the backend services.
How to build a full stack feature
How to manage the rollout using Optimizely’s feature flags
Kick Your Assumptions: How Scholl's Test-Everything Culture Drives RevenueOptimizely
Amy Vetter, Consumer Experience Manager, Direct To Consumer, Europe, will walk you through some of the tests that she and her team run across the Scholl brand. Amy will highlight surprise learnings and how to remove the fear of failing. The team is empowered to test everything possible that will allow the customer to get the best experience and also support the brand’s goal for more revenue and customer data.
Shipping to Learn and Accelerate Growth with GitHubOptimizely
Will 2020 mark the shift to a remote-first world in the long run? For GitHub, a distributed workforce is nothing new. Join Sha Ma, VP of Engineering, and Gregory Ceccarelli, Director of Data Science, to learn how they built and scaled a successful experimentation program. They'll share their experience implementing Optimizely across timezones, a remote workforce, and a new business model.
In this session, you'll learn how to:
Optimize UX for a freemium business model
Use data to deliver customer-centered products
Scale experimentation and accelerate growth
Newly appointed Optimizely CTO, Lawrence Bruhmuller, will kick off Developer Summit discussing the new normals in software development. After decades of leading and scaling engineering teams for high growth startups and large tech companies, Lawrence has seen the same problems crop up repeatedly for technical teams. There is a new way of delivering software that makes it possible to move fast and get it right. That new way is Progressive Delivery & Experimentation. When Progressive Delivery & Experimentation are used together, you have an efficient system for validating both quality and customer engagement across your development lifecycle. Lawrence will discuss the key principles driving software development innovation, how our engineering team puts this into practice, and the success he’s seen at other companies.
Practical Use Case: How Dosh Uses Feature Experiments To Accelerate Mobile De...Optimizely
Engineering organizations at companies know to anticipate bugs when they are about to launch a new product but, what tools can they use to reduce the blast radius and mitigate potential risks? Now, companies are thinking about preventative methods and safeguards they can put in place to make sure they deliver frictionless experiences to their customers with measurable results. In this session, you'll learn how to use feature flags and experiments across your stack (including mobile apps) to safely release meaningful features to your customers.
Run High Impact Experimentation with High-quality Customer DiscoveryOptimizely
Developing a robust A/B/n testing program is critical for every product organization. But there is not a one size fits all approach. Your program must be tailored to your business and audience to be successful. Join Oji Udezue, VP of Product at Calendly, who will share how to craft high-impact customer insights and product experiments, tailored for your company. Oji will draw insights from 20+ years of Product Management at companies like Microsoft and Atlassian and discuss the importance of using qualitative methods to help develop smarter hypotheses with the right tools and practices for your organization.
In this session you will learn:
- Why a strong experimentation culture is important for your product organization
- Proven ways to execute high-impact A/B/n tests with high-quality customer discovery
- The importance of conducting interviews with successful and unsuccessful customers and how to see through your customer’s eyes with live watching techniques
Using Empathy to Build Custom Solutions at ScaleOptimizely
Segment supports a huge ecosystem of partners and platforms, but there are always requests for more customizable options. What if, instead of answering each custom request, we empower customers and partners to build exactly what they’re looking for? Join Product Manager Andy Yeo as he discusses the ideas, conversations, testing, and validation that brought their latest product release—Functions—to life.
When you attend this webinar, you will:
- Learn how product teams go from customer feedback to shipping features
- Walk away with tactics for testing and iterating to launch features that solve customer needs
- Hear an exclusive preview of an upcoming product launch at Segment
How to find data insights that will drive a 10X impact Optimizely
Your product is the most important influence on your user experience and lifetime value. The ability to continually learn from your product changes and maximize your outcomes is a critical indicator of driving revenue for your business. Don't be complacent with incremental changes, learn how to find insights that will drive a 10x impact for your business.
Hear from Tanner McGrath, Head of Product Analytics, and Bilal Mahmood, Head of Product from Amplitude cover:
- Using your product as the influencer for your user’s experience and lifetime value.
- Learning from your product changes and maximize your outcomes to drive revenue for your business
- Finding insights that will drive a 10x impact for your business
Targeted Rollouts: How to Release Features to Multiple AudiencesOptimizely
Targeted rollouts makes releasing features safer by providing the ability to gradually roll out a feature to multiple audiences and environments with different rollout percentages and different configuration settings. This offers more flexible ways to release features including the ability to target rollouts by audience attributes including geography and pricing tiers. In this session, you’ll learn how to use targeted rollouts in Optimizely Full Stack with practical use cases.
Deploying Fearlessly in a Continuous WorldOptimizely
In this session,
- Learn about the latest software development best practices
- How to strategically and gradually rollout features to customers in production and reduce risk
- How to use of feature flags to ship code quickly and safely
- Best practices to align flags into a cohesive feature flagging system.
Has the outcome of an experiment ever gone so strongly against your intuition that you doubt its correct implementation? This is certainly a possibility, as correctly implementing an online experiment is fraught with data quality challenges. There is a considerable amount of engineering and processing of data before it reaches the analysis, leaving plenty of room for bugs and biases to creep in. One of the strongest signals of an incorrect implementation is a sample ratio mismatch (SRM) - when the number of users assigned to each variation differs significantly from what is expected under the intended random allocation.
This talk will:
- Demo a novel SRM test which allows experimentation teams to rapidly detect if there is a bug in the implementation, even while the experiment is running, allowing developers to quickly fix the underlying issue.
- Provide an introduction to both the mathematics of the SRM test as well as the newly open sourced library which developers can immediately integrate into their platform.
With Nicole Forsgren, VP of Strategy and Research at GitHub
Now more than ever, technology matters. Long before COVID-19 made remote work the norm, digital products were driving value and disruption for organizations. But delivering software safely remained a debate: For years, we thought slow meant more stable code and releases… even though we kept seeing fire drills and suffering through weeks-long releases.
The best, most innovative organizations have realized that it's possible to release code -- in ways that are safer, more stable, and more reliable while providing insights into what users value and need. Nicole Forsgren, author of "Accelerate" and leading software development and DevOps researcher will share insights on what teams can do to improve their software delivery as well as stories from organizations that have seen the benefits of these practices.
The Future of Building Good Products: Progressive Delivery and ExperimentationOptimizely
Hear James Governor, co-founder of RedMonk (the developer-focused research and advisory firm) and Lawrence Bruhmuller, CTO of Optimizely, share the value of pairing progressive delivery and experimentation together in your product development strategy.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
3. ● Customize the widgets on your page
to your preference
● This webinar is recorded and you will
receive the link with the slides in the
next few days
● We will have time for questions!
Please submit them in the Q&A box
on the left side of the screen
Housekeeping
4. 4
The only solution built for your entire team: marketers, product
managers, e-commerce specialists, and data analysts.
What
We Do
A unified platform for A/B/n testing and targeted experiences
across the entire customer journey.
World’s #1 digital laboratory - Optimizely customers have
run over 1.8M experiments on our platform since 2010.
Put customers at the center of your
experience optimization & delivery process
Leader in Site Experimentation &
Optimization
Measure customer data from real users in production
environments, so that every experience delivered is high-
quality and high-value.
Built for the whole team
5. Full Stack
Optimizely Platform
Built for product, engineering, growth, and data teams
Javascript snippet experimentation
enabling optimization through an easy
to use WYSIWYG visual editor.
Enterprise Expertise
Real-time
Data & Statistics
Progressive Delivery &
Experimentation
Enablement Services Ongoing Support Training & Documentation
Governance Security Scale
Zero-latency feature-flagging and in-code
experimentation implemented via 12 SDKs
or as a microservice
Web
Rollouts:
Standalone, free feature flagging w/one
experiment
Performance Edge: Faster experiments
processed at the edge (CDN)
Stats EngineData Integration Flexible analysis
Open APIs
7. 7 #TruthSells#TruthSells
Agenda
Kick-off
Getting Started with Experimentation
• North Star Metrics
• Experimentation Philosophy
• Testing Our Way Into Testing
What We’ve Learned
• When to use Full Stack?
• When to use Web?
• Tips & Tricks for starting Full Platform
Experimentation
Q&A
9. 9 #TruthSells#TruthSells
Software Reviews
You Can Trust
• Most trusted customer voice and
platform
• We help software buyers make great
decisions
• We help technology vendors get and
great customers
• Over 1 million monthly users
11. 11 #TruthSells#TruthSells
North Star Metrics
Our mission is to make it easy for people to buy, use, and sell
technology.
Metrics for building our community include: REACH
Reach Monthly sessions
Keyword rankings
Impact Site satisfaction scores
Decision impact surveys
Authority Organic registration rate
Repeat rate
12. 12 #TruthSells#TruthSells
Experiments Improve Product
Decisions
“Fast, cheap, or good: You can have
any two.”
Experiments help us stay user-
centered, mitigate risk, and
increase adoption by
incorporating user feedback
early and often.
13. 13 #TruthSells#TruthSells
Program Tenets
Optimize Existing
• Find the best solution among many
possibilities
• Seize low-hanging fruit
• Avoid costly mistakes
Test Into New
• Cost:Benefit analysis of a new initiative
• Controlled releases
• Establish baselines & best practices
14. 14 #TruthSells#TruthSells
Google Optimize was good for us to get our feet
wet with experimentation, but we quickly
outgrew it.
We used our own product to find a better
solution for our business needs!
Testing Our Way Into Testing
Reviews are an important
part of the buying decision.
Unbiased, trusted reviews are
the holy grail. I want real use
cases in the reviews I read… I
want the good, the bad, and
most importantly the UGLY.
TrustRadius is the leader in
tech solution review sites. It
has the most unbiased, candid
reviews I can find.
Chris Salles
Director,
Learning
Audible, Inc.
16. 16 #TruthSells#TruthSells
Page Speed Metrics
Observation: TrustMaps are used by Buyers, but slow
page speed.
Hypothesis: If we reduce the page speed impact of the
TrustMap, we will improve the user experience.
Key Metrics: bounce rate, page speed, and TrustMap
interactions
Results: After experimenting with different treatments,
the static image variation improved our key UX metrics
the most!
Why Full Stack? This content is generated server-side, so
to conditionally include it we needed to deliver this
experiment using Full Stack.Tip: Full Stack can help you test improvements for page
speed metrics.
17. 17 #TruthSells#TruthSells
Capture User Inputs
Observation: Buyers seek integration details, but this info
is buried.
Hypothesis: If buyers can easily check integrations to
create a short list of viable products, our product will have
more impact on their buying decision.
Key Metrics: clicks on this CTA, # of flows completed, # of
user inputs
Results: After a series of different locations and flows, an
insufficient % of the community was engaging so we
abandoned the feature.
Why Full Stack? Each iteration either depended on user
input, or prompted an “I’m sorry” modal after the click
occurred.
Tip: Use Full Stack for tests that require user input or new
workflows.
18. 18 #TruthSells#TruthSells
Repurpose Server-Side Element
Observation: Half of all software Buyers want a vendor
Demo, but this CTA doesn’t persist as they scroll the product
Hypothesis: If we make it easier for buyers to find the Demo
CTA, we will increase the click-through-rate and the page
score.
Key Metrics: CTA clicks, bounce rate, time on page
Results: this experiment is currently live! The precursor
experiment resulted in a 2X increase in clicks.
Why Full Stack? The test location is a part of our code that is
rendered server-side, so being able to run the test there was
option.Tip: Check your logs for Optimizely messages when testing
server-side, including which test bucket a user is assigned
into.
Precursor Web Experiment
Current Full Stack Experiment
21. 21 #TruthSells#TruthSells
Modify Existing CTA
Observation: Vendors want to claim their listing & engage
with buyers researching their product – but the claim link
is buried!
Hypothesis: If we make it easier for vendors to find the
claim link, we will increase the number who claim their
profile.
Key Metrics: clicks on claim CTA, completed claims,
bounce rate, time on page
Results: Increased weekly vendor profile claims over
200%
Why Web? Moving a pre-existing link did not check any
of the boxes where server-side makes more sense.
Tip: Set client-side console log levels via the
optimizely_log=info query parameter.
Original CTA (in Sidebar)
Experiment location (in header)
22. 22 #TruthSells#TruthSells
Painted Door
Observation: Buyers often request a synthesized version
of our content and data.
Hypothesis: If we make it easier for buyers to synthesize
the pros and cons content in reviews, page engagement
and satisfaction will increase.
Key Metrics: word cloud clicks, pageviews/session,
bounce rate, session duration
Results: +150% pageviews/session & +157% session
duration on mobile; but desktop was flat other than an
increased bounce rate.
Why Web? We were able to minimize dev time by
manually creating word clouds and targeting individual
pages.
Tip: Build the minimum functionality needed to validate
hypotheses.
23. 23 #TruthSells#TruthSells
Repurpose Client-Side
Element
Observation: Buyers seek authoritative, third-party
content throughout their journey – and we have this with
Buyer’s Guides!
Hypothesis: If we merchandise our Buyer’s Guides
effectively, we will increase the number of buyers who
benefit from this content.
Key Metrics: conversion rate of timed modal
Results: 2x conversion rate from first iteration to current
baseline.
Why Web? This content does not need to be present on
page load, and this modal already exists.Tip: Use existing elements to test new value propositions.
25. 25 #TruthSells#TruthSells
Tips for Starting Full Platform Experimentation
• Don’t be afraid to fail! A “loss” is better than a neutral result.
• Keep your experiments as simple as possible. What is the one thing you’re trying to learn?
• Use the right tool for the job. Being able to choose Optimizely Web or Full Stack based on the
nature of the experiment will increase test velocity.
• Share experiment results with your company - wins AND losses.
• Do >1 experiment per key metric. You will accumulate learnings over time, which – combined
with other inputs – improve interpretation of each experiment, and decision to fish or cut bait.
• Identify ALL key metrics that could be impacted by each experiment. Which metrics might be
adversely impacted by this change? Incorporate them in your test plan.