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
Why Things Go Off the Rails and How to Prevent Product-Engineering AngstOptimizely
Join us to hear from Claire Vo, Chief Product Officer, and Bill Press, SVP of Engineering, discuss how to better align and collaborate with their teams.
How FOX Tests Everything from Mobile, Web, to Living Room DevicesOptimizely
In this webinar, Sara Miller and Paul Tongyoo will discuss how FOX Corporation tests and observes outcomes before implementing, while building a culture of experimentation.
- How FOX tests experiences that optimize conversion rates of subscription services, engagement and retention.
- FOX’s ongoing journey to find the right level of process for their Center of Excellence.
- How FOX product and marketing teams work together using Optimizely to run experiments side by side.
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 to Use Quant and Qual Feedback to Rapidly Improve Your ProductOptimizely
Join Dan Olsen, product management expert, as he shares how to use both quant and qual feedback techniques to quickly improve your product.
In this webinar, product management expert Dan Olsen will share advice on:
- Why your product team should use quant and qual feedback techniques to improve your product quickly
- How the Lean Product Process can help improve your product development
- What factors to consider when establishing your MVP
- Hear real-world examples and case studies, not just hypothetical scenarios
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.
Optimizely's Vision for Product Development TeamsOptimizely
Learn how product development will evolve in the coming years. We believe the best teams will separate themselves from the pack in the coming years by adopting a focus of transparency, scale, compatibility, and trust.
Hear from our Product and Engineering teams as they show our vision for helping product development teams move fast and build with confidence. You’ll learn:
- How we help teams drive progressive delivery and experimentation at scale
- New and upcoming features for product managers, growth teams, engineers, and data scientists.
- Our ambition to create the most powerful, flexible experimentation platform available anywhere.
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.
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
Why Things Go Off the Rails and How to Prevent Product-Engineering AngstOptimizely
Join us to hear from Claire Vo, Chief Product Officer, and Bill Press, SVP of Engineering, discuss how to better align and collaborate with their teams.
How FOX Tests Everything from Mobile, Web, to Living Room DevicesOptimizely
In this webinar, Sara Miller and Paul Tongyoo will discuss how FOX Corporation tests and observes outcomes before implementing, while building a culture of experimentation.
- How FOX tests experiences that optimize conversion rates of subscription services, engagement and retention.
- FOX’s ongoing journey to find the right level of process for their Center of Excellence.
- How FOX product and marketing teams work together using Optimizely to run experiments side by side.
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 to Use Quant and Qual Feedback to Rapidly Improve Your ProductOptimizely
Join Dan Olsen, product management expert, as he shares how to use both quant and qual feedback techniques to quickly improve your product.
In this webinar, product management expert Dan Olsen will share advice on:
- Why your product team should use quant and qual feedback techniques to improve your product quickly
- How the Lean Product Process can help improve your product development
- What factors to consider when establishing your MVP
- Hear real-world examples and case studies, not just hypothetical scenarios
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.
Optimizely's Vision for Product Development TeamsOptimizely
Learn how product development will evolve in the coming years. We believe the best teams will separate themselves from the pack in the coming years by adopting a focus of transparency, scale, compatibility, and trust.
Hear from our Product and Engineering teams as they show our vision for helping product development teams move fast and build with confidence. You’ll learn:
- How we help teams drive progressive delivery and experimentation at scale
- New and upcoming features for product managers, growth teams, engineers, and data scientists.
- Our ambition to create the most powerful, flexible experimentation platform available anywhere.
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.
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
Test Everything: TrustRadius Delivers Customer Value with ExperimentationOptimizely
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.
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.
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
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
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
[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.
Under the Hood: Experiment-Driven Product DesignOptimizely
Reap the rewards of creativity and problem solving through product experimentation
Designing enterprise software products is a process that relies on feedback: Customer research, usability testing, and competitive research are tools that designers can use to validate designs prior to shipping them into production. But once your design has been built by engineering and released to production, how do you know whether new features or designs are meeting business goals? Optimizely’s product design team has introduced a new method to our toolkit to understand whether our designs are driving customer engagement and retention: Product experimentation.
Join Optimizely’s product designers, Zach Leach and Shane Fontane, to learn from their experience using experimentation to design Optimizely’s enterprise software platform.
Learn how to:
- Use experimentation to validate design decisions
- Quantify the impact of design on business metrics
- Improve collaboration across design, product, and engineering
Speed Matters - Strategies to Improve Your Site PerformanceOptimizely
To survive in today’s competitive, fast-moving digital market, it’s imperative that you drive high-velocity experimentation while keeping your site performance as fast as possible. When it comes to running client-side experimentation there is a natural tradeoff that has to be made between performance, user experience (ensuring experimentation is invisible to your customers), and the operational costs of implementation.
In this webinar, the Performance team will walk you through some of the most performant ways to implement Optimizely Web on your site today.
You’ll learn:
- How to self-host the Optimizely snippet to improve site performance
- How to use Custom Snippets to only include relevant project information
- When to change your implementation to asynchronous for the right use cases
- How to reduce your snippet size through new Optimizely capabilities
Take Your Experimentation Program to the Next LevelOptimizely
Are you already running experiments at scale and think there is nothing left to learn? Well, first of all congratulations. And second, think again.
Because when it comes to the number of experiments you run, more is always more. Join this webinar to find out why there are no limits to experimentation – and how you can keep on making tangible progress.
This webinar will show you:
- How to embed ownership of experimentation into each and every team
- How to keep the experimentation engine running with fresh and creative testing ideas
- How to embed a winning experimentation culture across the entire business
Optimizely Under the Hood Series: Managing Experimentation at ScaleOptimizely
To develop winning customer experiences - ones that resonate with your customers and help drive your business forward - you need to build experimentation into everything you do. But managing an experimentation program at scale can bring its own challenges. How do you get executive buy-in? Get more teams and operationalize your processes? Effectively share learnings and insights across your organization?
Join Optimizely’s Senior Vice President of Product Management, Claire Vo, and Experimentation Program Manager, Rebecca Bruggman to learn best practices for running an experimentation program at scale from the team running Optimizely’s program.
During this webinar, learn how to:
- Get executive buy-in for your experimentation program
- Manage the execution of your program across all your teams
- Increase the velocity and effectiveness of your program by utilizing the right people, processes and technology
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.
Content Targeting and Personalization: Improving Engagement at the Account LevelG3 Communications
"With buyer engagements shifting online, B2B marketers need to deliver digital experiences that resonate with TARGET businesses, differentiate themselves from their competitors, and accelerate the sales cycle. Web analytics, targeting tools and content systems are now adapting to this new B2B buyer, as companies are learning how to engage and connect content to target audiences in order to nurture and accelerate leads to sales. Hear how Adobe has embarked on a journey to connect data from analytics, testing tools and visitor identification technologies to understand their targets, personalize their web experiences and better serve content to the accounts that are not only most likely to convert, but also most likely to buy.
Top tactics for identifying, engaging and converting visitors from your most important web segments Identify the top conversion metrics to pay attention to and optimize against Learn how to engage visitors—and keep them engaged—utilizing personalization technology"
Building a Culture of Experimentation at HPOptimizely
Today’s leading digital businesses, such as Amazon, Google and Facebook, cite experimentation as the key to constantly improving their digital experiences. Yet many companies are still in the early stages of adopting a test and learn mindset when it comes to innovating on their own experiences.
In this webinar, hear how HP has built a global center of excellence, structured their experimentation teams and meetings, and focused on technology, governance, and strategy on their way to building a culture of experimentation.
You'll learn:
- How we structured our Center Of Excellence, and why it's working for us at a global scale
- Our emphasis on Data and Strategy, ensuring we make effective business decisions
- How we’ve interlocked our technologies to give us insights and the edge on our Experiments
- Our Partnership and Growth Story, on our way to grow experiments by 3x worldwide YoY
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
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 behaviour across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioural impact on the bottom line, we need to start asking WHY.
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 behaviour
- 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 organisations
- Best practices in ideation, A/B testing and experimentation
Building a Technology Architecture for Experience OptimizationOptimizely
Modern digital experience optimization practices are emerging as a key strategic function for customer-obsessed businesses. The best firms are merging digital insights with experimentation and personalization to provide world-class experiences.
These leaders are integrating digital optimization capabilities to thrive against the competition. During this webinar, guest speaker James McCormick, Principal Analyst at Forrester, will review:
- The current state of experience optimization and why we must do better
- How leading companies are using experience optimization to gain a competitive advantage
- How to architect for digital experience optimization at scale
How to Reduce Customer Acquisition Costs and Optimize Advertising SpendOptimizely
Discover how you can optimize your advertising spend, boost your ROI, and reduce your CAC with Optimizely’s senior strategy consultant, Brad Yee.
What you will learn:
- How to run effective landing page campaigns that boost the ROI of your digital programs
- Best practices for unlocking the power of symmetric messaging to acquire more leads at no cost
- What strategies we’ve seen to be successful at reducing CAC and sales support costs
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
Use Product Debt to Maximize Business Value by Devbridge DirectorsProduct School
Main Takeaways:
-How product debt accumulates
-Types of product debt, including technical and design debt and how they differ
-How to incorporate product debt into strategy
-How product debt translates into increased value
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.
Getting Started with Online-to-Offline Measurementbrandonwishnow
Although most marketers would agree that online-to-offline measurement is important for the future success of their business, it’s hard to know what steps to take to adopt this strategic initiative.
Ovative/group has found that when done correctly, online-to-offline addresses many of the most complex business problems by providing answers to questions such as: What is the impact of an online visit on offline sales? Does this impact vary by category or product type? What marketing channels influence offline most? And, can I use these channels to drive offline acquisition?
But how do you get started and ensure online-to-offline is a success for your organization? After attending this webinar featuring Ovative/group and LiveRamp you’ll understand:
– Why online-to-offline is important and how to prioritize it among other strategic initiatives
– Who within your organization needs to be involved and how to structure your team
– What technology is required to build online-to-offline measurement capabilities
– How to make digital marketing decisions based on enterprise metrics
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
Test Everything: TrustRadius Delivers Customer Value with ExperimentationOptimizely
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.
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.
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
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
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
[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.
Under the Hood: Experiment-Driven Product DesignOptimizely
Reap the rewards of creativity and problem solving through product experimentation
Designing enterprise software products is a process that relies on feedback: Customer research, usability testing, and competitive research are tools that designers can use to validate designs prior to shipping them into production. But once your design has been built by engineering and released to production, how do you know whether new features or designs are meeting business goals? Optimizely’s product design team has introduced a new method to our toolkit to understand whether our designs are driving customer engagement and retention: Product experimentation.
Join Optimizely’s product designers, Zach Leach and Shane Fontane, to learn from their experience using experimentation to design Optimizely’s enterprise software platform.
Learn how to:
- Use experimentation to validate design decisions
- Quantify the impact of design on business metrics
- Improve collaboration across design, product, and engineering
Speed Matters - Strategies to Improve Your Site PerformanceOptimizely
To survive in today’s competitive, fast-moving digital market, it’s imperative that you drive high-velocity experimentation while keeping your site performance as fast as possible. When it comes to running client-side experimentation there is a natural tradeoff that has to be made between performance, user experience (ensuring experimentation is invisible to your customers), and the operational costs of implementation.
In this webinar, the Performance team will walk you through some of the most performant ways to implement Optimizely Web on your site today.
You’ll learn:
- How to self-host the Optimizely snippet to improve site performance
- How to use Custom Snippets to only include relevant project information
- When to change your implementation to asynchronous for the right use cases
- How to reduce your snippet size through new Optimizely capabilities
Take Your Experimentation Program to the Next LevelOptimizely
Are you already running experiments at scale and think there is nothing left to learn? Well, first of all congratulations. And second, think again.
Because when it comes to the number of experiments you run, more is always more. Join this webinar to find out why there are no limits to experimentation – and how you can keep on making tangible progress.
This webinar will show you:
- How to embed ownership of experimentation into each and every team
- How to keep the experimentation engine running with fresh and creative testing ideas
- How to embed a winning experimentation culture across the entire business
Optimizely Under the Hood Series: Managing Experimentation at ScaleOptimizely
To develop winning customer experiences - ones that resonate with your customers and help drive your business forward - you need to build experimentation into everything you do. But managing an experimentation program at scale can bring its own challenges. How do you get executive buy-in? Get more teams and operationalize your processes? Effectively share learnings and insights across your organization?
Join Optimizely’s Senior Vice President of Product Management, Claire Vo, and Experimentation Program Manager, Rebecca Bruggman to learn best practices for running an experimentation program at scale from the team running Optimizely’s program.
During this webinar, learn how to:
- Get executive buy-in for your experimentation program
- Manage the execution of your program across all your teams
- Increase the velocity and effectiveness of your program by utilizing the right people, processes and technology
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.
Content Targeting and Personalization: Improving Engagement at the Account LevelG3 Communications
"With buyer engagements shifting online, B2B marketers need to deliver digital experiences that resonate with TARGET businesses, differentiate themselves from their competitors, and accelerate the sales cycle. Web analytics, targeting tools and content systems are now adapting to this new B2B buyer, as companies are learning how to engage and connect content to target audiences in order to nurture and accelerate leads to sales. Hear how Adobe has embarked on a journey to connect data from analytics, testing tools and visitor identification technologies to understand their targets, personalize their web experiences and better serve content to the accounts that are not only most likely to convert, but also most likely to buy.
Top tactics for identifying, engaging and converting visitors from your most important web segments Identify the top conversion metrics to pay attention to and optimize against Learn how to engage visitors—and keep them engaged—utilizing personalization technology"
Building a Culture of Experimentation at HPOptimizely
Today’s leading digital businesses, such as Amazon, Google and Facebook, cite experimentation as the key to constantly improving their digital experiences. Yet many companies are still in the early stages of adopting a test and learn mindset when it comes to innovating on their own experiences.
In this webinar, hear how HP has built a global center of excellence, structured their experimentation teams and meetings, and focused on technology, governance, and strategy on their way to building a culture of experimentation.
You'll learn:
- How we structured our Center Of Excellence, and why it's working for us at a global scale
- Our emphasis on Data and Strategy, ensuring we make effective business decisions
- How we’ve interlocked our technologies to give us insights and the edge on our Experiments
- Our Partnership and Growth Story, on our way to grow experiments by 3x worldwide YoY
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
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 behaviour across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioural impact on the bottom line, we need to start asking WHY.
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 behaviour
- 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 organisations
- Best practices in ideation, A/B testing and experimentation
Building a Technology Architecture for Experience OptimizationOptimizely
Modern digital experience optimization practices are emerging as a key strategic function for customer-obsessed businesses. The best firms are merging digital insights with experimentation and personalization to provide world-class experiences.
These leaders are integrating digital optimization capabilities to thrive against the competition. During this webinar, guest speaker James McCormick, Principal Analyst at Forrester, will review:
- The current state of experience optimization and why we must do better
- How leading companies are using experience optimization to gain a competitive advantage
- How to architect for digital experience optimization at scale
How to Reduce Customer Acquisition Costs and Optimize Advertising SpendOptimizely
Discover how you can optimize your advertising spend, boost your ROI, and reduce your CAC with Optimizely’s senior strategy consultant, Brad Yee.
What you will learn:
- How to run effective landing page campaigns that boost the ROI of your digital programs
- Best practices for unlocking the power of symmetric messaging to acquire more leads at no cost
- What strategies we’ve seen to be successful at reducing CAC and sales support costs
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
Use Product Debt to Maximize Business Value by Devbridge DirectorsProduct School
Main Takeaways:
-How product debt accumulates
-Types of product debt, including technical and design debt and how they differ
-How to incorporate product debt into strategy
-How product debt translates into increased value
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.
Getting Started with Online-to-Offline Measurementbrandonwishnow
Although most marketers would agree that online-to-offline measurement is important for the future success of their business, it’s hard to know what steps to take to adopt this strategic initiative.
Ovative/group has found that when done correctly, online-to-offline addresses many of the most complex business problems by providing answers to questions such as: What is the impact of an online visit on offline sales? Does this impact vary by category or product type? What marketing channels influence offline most? And, can I use these channels to drive offline acquisition?
But how do you get started and ensure online-to-offline is a success for your organization? After attending this webinar featuring Ovative/group and LiveRamp you’ll understand:
– Why online-to-offline is important and how to prioritize it among other strategic initiatives
– Who within your organization needs to be involved and how to structure your team
– What technology is required to build online-to-offline measurement capabilities
– How to make digital marketing decisions based on enterprise metrics
eBay Partner Network & Optimizely: Optimization Best PracticesSejal Patel
eBay Partner Network partnered with Optimizely to share insights and best practices for optimization. What we covered:
-What a world-class testing program looks like and why it is so important for an increasingly digital age
-Best practices on how to implement a testing and optimization program
-Success stories from publishers that are leveraging testing to significantly increase conversions and revenue
How to Use A/B Testing to Create Growth by fmr Staples PMProduct School
A/B testing is an experimentation practice that helps to unlock the full potential of a growth marketing program. Regardless of your company’s business goals, deciding what you will test should be founded in what’s going to move the needle up and to the right for your team.
This talk dove into how you can build a high-velocity testing program, why being data driven can help you avoid costly product design mistakes, as well as which experiments won at top companies.
How To Unify Data with Bespoke Dashboards for True InsightsTinuiti
Today’s landscape requires Marketing leaders to stay informed on a daily basis and act with purposeful agility. With an adaptive, frequently updated look across all channels and budget performance, marketers can expose inefficiencies and seize opportunities faster than their competitors to drive real business results. Join our insights experts to see how they empower clients with a fully customized and automated dashboard so they can spend more time acting on data opposed to pulling it.
Aeroméxico: Improving the Booking Experience with Data-First PersonalizationOptimizely
As the flag carrier airline of Mexico, Aeroméxico is constantly working to see how they can improve their customer experience. For the airliner it began with ensuring the wealth of data they had on customers was available and actionable for use in Optimizely.
Aeroméxico used their already strong A/B testing practice to jumpstart detailed and customer-focused personalization efforts through the booking process. They hypothesized that if they personalized the booking flow process based on prior customer behavior, they would streamline the process and enable customers to purchase flights more efficiently.
In this webinar, Aeroméxico's Angie Romero and Optimizely's Alek Toumert will discuss how Aeroméxico went about organizing their data to enable testing and personalization together by leveraging this data, ultimately focusing on building better customer experiences.
Join this webinar to learn:
- How to think about structuring your data for personalization
- How to create hypotheses about personalization campaigns from existing a/b tests
- How personalizing customer experience along your primary journeys enables higher lift
A briefing on new marketing techniques and digital technologies that businesses should consider in 2018. Introduced with the Gartner Marketing Hype Cycle.
How to Turn Raw Data into Product Revenue by Retrofit PMProduct School
Most companies have a goldmine of data, yet lack the ability to know what to do with it. In this talk, Monica shared perspective on how to evaluate data, package it, and turn it in to additional revenue streams.
Main takeaways:
- Identify use cases for data.
- Turn those use cases in to product offerings.
- Create a pricing model & collect revenue.
More and more Marketing Executives have come to realize that the traditional approach to budget allocation, by campaign and channel, does not match the way modern marketers seek to optimize the customer’s experience. As a result companies now focus more on investing along the different stages in the customer journey. In this webinar we will share best practices regarding the KPIs that can be used to track customer journey success.
More and more Marketing Executives have come to realize that the traditional approach to budget allocation, by campaign and channel, does not match the way modern marketers seek to optimize the customer’s experience. As a result companies now focus more on investing along the different stages in the customer journey. This webinar is organized by the B2B Marketing Forum in collaboration with Oracle Marketing Cloud.
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
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
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.
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.
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.
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.
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.
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
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
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.
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.
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.
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.
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
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.
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
Mastering Multi-Touchpoint Content Strategy: Navigate Fragmented User JourneysSearch Engine Journal
Digital platforms are constantly multiplying, and with that, user engagement is becoming more intricate and fragmented.
So how do you effectively navigate distributing and tailoring your content across these various touchpoints?
Watch this webinar as we dive into the evolving landscape of content strategy tailored for today's fragmented user journeys. Understanding how to deliver your content to your users is more crucial than ever, and we’ll provide actionable tips for navigating these intricate challenges.
You’ll learn:
- How today’s users engage with content across various channels and devices.
- The latest methodologies for identifying and addressing content gaps to keep your content strategy proactive and relevant.
- What digital shelf space is and how your content strategy needs to pivot.
With Wayne Cichanski, we’ll explore innovative strategies to map out and meet the diverse needs of your audience, ensuring every piece of content resonates and connects, regardless of where or how it is consumed.
For too many years marketing and sales have operated in silos...while in some forward thinking companies, the two organizations work together to drive new opportunity development and revenue. This session will explore the lessons learned in that beautiful dance that can occur when marketing and sales work together...to drive new opportunity development, account expansion and customer satisfaction.
No, this is not a conversation about MQLs and SQLs. Instead we will focus on a framework that allows the two organizations to drive company success together.
Financial curveballs sent many American families reeling in 2023. Household budgets were squeezed by rising interest rates, surging prices on everyday goods, and a stagnating housing market. Consumers were feeling strapped. That sentiment, however, appears to be waning. The question is, to what extent?
To take the pulse of consumers’ feelings about their financial well-being ahead of a highly anticipated election, ThinkNow conducted a nationally representative quantitative survey. The survey highlights consumers’ hopes and anxieties as we move into 2024. Let's unpack the key findings to gain insights about where we stand.
The What, Why & How of 3D and AR in Digital CommercePushON Ltd
Vladimir Mulhem has over 20 years of experience in commercialising cutting edge creative technology across construction, marketing and retail.
Previously the founder and Tech and Innovation Director of Creative Content Works working with the likes of Next, John Lewis and JD Sport, he now helps retailers, brands and agencies solve challenges of applying the emerging technologies 3D, AR, VR and Gen AI to real-world problems.
In this webinar, Vladimir will be covering the following topics:
Applications of 3D and AR in Digital Commerce,
Benefits of 3D and AR,
Tools to create, manage and publish 3D and AR in Digital Commerce.
SMM Cheap - No. 1 SMM panel in the worldsmmpanel567
Boost your social media marketing with our SMM Panel services offering SMM Cheap services! Get cost-effective services for your business and increase followers, likes, and engagement across all social media platforms. Get affordable services perfect for businesses and influencers looking to increase their social proof. See how cheap SMM strategies can help improve your social media presence and be a pro at the social media game.
Top 3 Ways to Align Sales and Marketing Teams for Rapid GrowthDemandbase
In this session, Demandbase’s Stephanie Quinn, Sr. Director of Integrated and Digital Marketing, Devin Rosenberg, Director of Sales, and Kevin Rooney, Senior Director of Sales Development will share how sales and marketing shapes their day-to-day and what key areas are needed for true alignment.
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
AI-Powered Personalization: Principles, Use Cases, and Its Impact on CROVWO
In today’s era of AI, personalization is more than just a trend—it’s a fundamental strategy that unlocks numerous opportunities.
When done effectively, personalization builds trust, loyalty, and satisfaction among your users—key factors for business success. However, relying solely on AI capabilities isn’t enough. You need to anchor your approach in solid principles, understand your users’ context, and master the art of persuasion.
Join us as Sarjak Patel and Naitry Saggu from 3rd Eye Consulting unveil a transformative framework. This approach seamlessly integrates your unique context, consumer insights, and conversion goals, paving the way for unparalleled success in personalization.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
Core Web Vitals SEO Workshop - improve your performance [pdf]Peter Mead
Core Web Vitals to improve your website performance for better SEO results with CWV.
CWV Topics include:
- Understanding the latest Core Web Vitals including the significance of LCP, INP and CLS + their impact on SEO
- Optimisation techniques from our experts on how to improve your CWV on platforms like WordPress and WP Engine
- The impact of user experience and SEO
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.\
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
Digital marketing is the art and science of promoting products or services using digital channels to reach and engage with potential customers. It encompasses a wide range of online tactics and strategies aimed at increasing brand visibility, driving website traffic, generating leads, and ultimately, converting those leads into customers.
https://nidmindia.com/
Everyone knows the power of stories, but when asked to come up with them, we struggle. Either we second guess ourselves as to the story's relevance, or we just come up blank and can't think of any. Unlocking Everyday Narratives: The Power of Storytelling in Marketing will teach you how to recognize stories in the moment and to recall forgotten moments that your audience needs to hear.
Key Takeaways:
Understand Why Personal Stories Connect Better
How To Remember Forgotten Stories
How To Use Customer Experiences As Stories For Your Brand
5 big bets to drive growth in 2024 without one additional marketing dollar AND how to adapt to the biggest shifting eCommerce trend- AI.
1) Romance Your Customers - Retention
2) ‘Alternative’ Lead Gen - Advocacy
3) The Beautiful Basics - Conversion Rate Optimization
4) Land that Bottom Line - Profitability
5) Roll the Dice - New Business Models
10 Video Ideas Any Business Can Make RIGHT NOW!
You'll never draw a blank again on what kind of video to make for your business. Go beyond the basic categories and truly reimagine a brand new advanced way to brainstorm video content creation. During this masterclass you'll be challenged to think creatively and outside of the box and view your videos through lenses you may have never thought of previously. It's guaranteed that you'll leave with more than 10 video ideas, but I like to under-promise and over-deliver. Don't miss this session.
Key Takeaways:
How to use the Video Matrix
How to use additional "Lenses"
Where to source original video ideas
2. Housekeeping
● This session is being recorded
● You will receive a copy of the
recording and slides
● We’ll answer questions at the
end of the presentation
6. Revenue, share of wallet, funnel conversion, risk
mitigation, ops efficiency
What
We Do Next gen platform helping teams build, test, and learn
to create winning digital experiences
Over 1B impressions daily
Replaces Digital Guesswork
With Evidence-based Optimization
Digital Experimentation
and Progressive Delivery
Apply the scientific method to “at-scale”
business decision making.
20X increase in Yield
7. “Our success is a function of
how many experiments we do
per year, per month, per week,
per day.”
Jeff Bezos
“Our aim is to create the best
product for our customers, and
we do that through constant
innovation and testing.”
Gillan Tans, CEO
“Our company culture
encourages experimentation
and free flow of ideas.”
Larry Page
“We use experimentation and
testing to inform as much of the
business as we possibly can” -
Gregory Peters, CPO
Today’s Digital Leaders Win By
Using Experimentation At-Scale
9. 9
Experimentation Platform Overview
Program Management Stats Engine Program Management
Manage and prioritize your
testing backlog
Governance and
documentation
Workflow oversight
Real-time analysis
Statistical Rigor without data
scientists
Fewer false positives
Adjust test traffic based on
objectives
Document and archive test
findings
Create shareable artifacts
Report on overall program
activity and effectiveness
Web
For every team
A/B/n & MVT Testing
Personalization
Recommendations
Full Stack
Built for developers &
PM's
Mobile, server, OTT, IoT -
any software
Feature Rollouts
A/B/n Testing on features
and code blocks
Optimizely
IDEATION &
GOVERNANCE
ANALYSIS
DOCUMENTATION &
SHARING
EXECUTION
11. 11
Full Market Coverage - Balancing ROI with Scale
All Segments
Account Based Demand Generation
12.
13. 13
The Dream Team
Takeshi Young
Digital Marketing
Manager
Becca Bruggman
Program Manager
Jessica Brook
Demand
Generation
Jieun Jong
Designer
Andy Varshneya
Marketing Ops & Automation
Bryce Wellington
Developer
Dano Williams
Developer
Rachel Hazen
Lifecycle Marketing
14. 14
Focus Areas and Metrics
Lead Funnel Goals
●Lead + MQL + Opportunity volume
●Pipeline Impact
Funnel Conversion Rates
●Lead > MQL > Opportunity
●Optimizing for Sales hand-off
Marketing Funnel Impact Website Effectiveness
Site Engagement
●Bounce Rate
●Pages per session
●On-page interaction
Conversion Rate Optimization
●Visit to conversion rate
●Landing page conversion rate
15. 15
Personalize to...
Drive higher user
acquisition and
conversions
Target experiments,
and optimize
segmented experiences
Engage with key
customers and
prospects
Connect audiences
with the information
they need
19. 19
3rd Party Advertiser Data
(Keywords, Creative etc.)
Front End
Experience
Technology Stack
3rd Party
Firmographic Data
(Company size, etc.)
1st Party Data
(Accounts, Contacts, Leads, Behavioral etc.)
Serve VariantsBuild Segments
20. 20
Focus Areas
1. High traffic pages (home page, top SEO pages, blog)
2. High intent (platform page, plans page, contact us
page)
Touchpoints
33. 33
Tiered Approach to Account Based Marketing
VP SPONSOR
NAMED CHAMPION
LARGEST POTENTIAL
NAMED TARGET ACCOUNTS
HIGH POTENTIAL ACCOUNTS
ALIGNED ACCOUNT PLAN
37. 37
Personalization Data Sources
Anonymous3rd Party Data1st Party Data
Behavioral
NLP (Natural Language
Processing)
Location
Data integrations:
Demandbase/Clearbit
Skymosity
Marketo
User Data
DCP (Dynamic Customer
Profiles)
Personalization is possible no matter how much user data you have
47. 47
Getting experiences right for your users is critical…
But we don’t always have all of the information we need.
Dynamic
Profiles
NLPBehavioral
48. 48
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Thank you for joining us today for our webinar
Today we’ll be talking about Experimentation and Personalization at Optimizely.
We’ll start off with some housekeeping. The session is being recorded. You will receive a copy of the recording and slides. Feel free to enter questions during the webinar. We will answer them at the very end.
My name is Perri Bronson. I am the a Product Marketer here at Optimizely. I am joined by our digital marketing manager and Demand Gen expert at Optimizely. Takeshi, will you tell us a bit more about your role at Optimizely?
Manage digital mktg - seo, paid media, etc.,
We have plenty to cover today.
I’ll start by sharing an overview of what Optimizely does and how our Marketing team works. I’ll talk about our approach to experimentation and personalization.
Takeshi will talk about our in-house program, Optimizely on Optimizely Takeshi will also get into several examples of experiments and campaigns we’ve run. Finally, we’ll close with some takeaways and questions.
To help set the stage for our webinar, I’d like to tell you a little about Optimizely and the journey we are on as a company.
Optimizely helps you maximize your investment in product development, User Experience, and drive the metrics that matter.
We make it easy to “build, test, and learn”, enabling you to continuously deliver new features, design, and messaging using data to make decisions that drive the best outcomes.
We believe that experimentation is more than running the occasional A/B test to get new insights or validation. It’s foundational to the success of the world’s leading companies. All of these innovators are basically saying the same thing - more experimentation leads to better results.
Here are a few examples of the business impact Optimizely creates for our customers. From improving marketing funnels, to optimizing the in-product experience; these customers get results by replacing guesswork with real-time information about how their users respond to new experiences.
So, how do we eenable all of these great things?
This is a snapshot of the Optimizely platform… As you can see we cover a full spectrum. However...Today we’ll be focussing on how our Marketing team uses Optimizely Web (highlighted in yellow) to deliver personalized experiences, tests, and recommendations to our own customers and prospects....Just know, there’s a lot more that our platform can do for engineering and data science teams in addition to marketing optimization examples we will cover today.
So, how do we think about marketing at Optimizely?
As a marketing team. We have a clear charter - grow the business and unlock new opportunities for revenue. To do this we have two approaches to ensure full market coverage...We have Account Based Marketing which focuses on our customers and a subset of our strategic accounts. And we have Demand Generation which covers all of our target segments and named accounts...While ABM helps us increase our marketing Yield, Demand Generation helps us drive scale.
We believe strongly that data should drive decisions, not guesswork or the highest paid person’s opinion - aka “The HIPPO”...We’ve all had that meeting where despite a strong business case, the decision doesn’t goes they way of the HIPPO. Not only is this frustrating, it can drive the business is the wrong direction. Every employee’s idea, every opinion, and assumption is an opportunity to test and learn. Takeshi will chat a little more later about how our Experimentation Program aims to democratize the ideation process.
Our programs are supported by cross-functional teams.. Takeshi is our in-house expert when it comes to marketing optimization. He aligns closely with our dedicated experimentation program manager - Rebecca who works with product and engineering as well. Demand generation and Lifecycle Marketing are key players, and we are lucky enough have 2 amazing web developers on our team. Last but not lead we also work closely with design and marketing automation.
This team helps us Improve our Funnel Performance and Increase Site Engagement.
They monitor a number of key metrics for each focus area and we assign OKRs (Objectives and Key Results) which are linked to impacting these metrics.
Before we dive into how we go about executing personalization campaigns and experiments. Let’s talk about why it’s important.
(advance and cover points)
So I’ll hand over now to Takeshi to tell you a little more about the Optimizely on Optimizely program.
Takeshi, over to you.
At Optimizely we are proud to use our product for multiple use cases across the business.
Some folks refer to this use of the product as dogfooding.
Jo Hoppe former CIO for Pegasystems coined this the phrase ‘Drinking our own champagne’ - I prefer that as it implies a stronger sense of pride in the product.
Ultimately as a marketing team - our product allows us to de-risk changes to our site, improve our conversion rate and drive higher levels of engagement with more personalized experiences.
If we can’t derive value from our product, how will our customers.
Before we get into the examples, let me start by sharing some numbers to provide some context about our experimentation program.
So Optimizely is a growth-stage SaaS company, and our main website and other web properties receive a few hundred thousand visitors every month. Our main website has around a thousand pages, and our goal as an experimentation team is to launch 100 new experiments and personalization campaigns every year. At any given time we have 30-40 active personalization campaigns running on our site and half a dozen live experiments. So that should give you a sense of the scale of our experimentation.
Optimizely has a made an investment in a simple but effective tech stack. This leverages technology integrations that are available to any of our customers.
We use data to build segments and then have Optimizely serve variants on the for both experiments and personalization.
Clearbit and Demandbase provide 3rd Party Firmographic Data such as company size and company name. This is very helpful for Account Based marketing.
Facebook, Google and Linkedin provide data on keywords used, creative used etc. A common use case here is Symmetric Messaging which Takeshi will talk about later.
We integrate with our Data Warehouse which provides access to Salesforce, Marketo and Gainsight Data to better segment our accounts and contacts.
On the front end we serve these experiences on Contentful (our CMS) and through tools like Drift.
We also integrate with a variety of other vendors which we test from time to time. For example, we have access to Segment and Tealium for additional Data and Segmentation.
In terms focus areas for experiments, there are two main areas that we focus on. So one the main areas that we look at are the high traffic areas of our website, like our homepage, some of our SEO content, and our blog. These pages receive a lot of traffic every month, so those are areas where we can run a lot experiments and see statistically significant results. The other area that we focus on are high intent or high value areas of our site, likes our plans page and our forms. These are areas where if we are able to improve our metrics, they have a tangible impact on our business. And if you below here we have a screenshot of our Program Management and you can see all of our touchpoints are organized around these high traffic and high value pages.
So those are the areas that we focus on for our experimentation. As far as generating ideas for experiments, we take a few different approaches. Probably one of our most common ways of generating ideas is brainstorming. So we look at our available touchpoints, and brainstorm ideas within experimentation team as well as with relevant stakeholders, and we generate ideas on how we improve the experience of a page based on the specific goals of that page.
Another area we look at is our web analytics and web visualization tools. Analytics can help us identify areas of improvement, for example pages with a high exit rate, and we can segment that data by demographic or device type to help generate hypotheses for how to improve those pages. Web visualization tools like CrazyEgg and FullStory are also super helpful, in that they allow us to see how users are actually interacting with our site, and that can lead to insights on how we can improve our pages.
Another key ideation is iteration. And shall some examples on this in just a minute, but when an experiment concludes, that can often provide inspiration for follow-up experiments we can run on those pages.
At Optimizely we also have an internal strategy team we can lean on to help us with generate experimentation ideas, and finally the way we're generate a lot of ideas for experiments is just by opening up the process to everyone in the company. Our belief is that the best ideas don't just come from us, and that good ideas can come from anywhere, so we open up the experimentation process to everyone to democratize the experimentation process. Everyone has access to our Optimizely account, and everyone has access to Program Management so they can see all the experiments in our roadmap, comment on experiment ideas, and follow along on active experiments, and submit their own experiment ideas.
We are lucky enough to have a program manager who makes it fun to tests everything - check out her blog on medium for all things experimentation. Rebecca encourages employees to submit ideas by offering these cool Optimizely on Optimizely t-shirts. Offering prizes or holding competitions can be a good way to generate experiment ideas and help develop a culture of experimentation within your company.
So that’s a quick overview of our experimentation program, now let’s jump into some actual examples of experiments and personalization campaigns we’ve run on optimizely.com
Let’s jump into some examples showing how we use P13N to drive users through the acquisition funnel
we use personalization is for symmetric messaging for our paid online advertising. This is a good place to get started with personalization
Symmetric messaging is the practice of changing the content on a page in realtime to mirror the language that was used in the ad that got them there. In this example, is a user searches for “split testing” in Google and lands on our landing page, the copy on the page is dynamically updated to say “split testing”, whereas they would have seen copy related to “a/b testing” or “multivariate testing” if they had instead searched for those terms on Google. By mirroring the language that the user uses to find us, we’ve been able to improve conversion rates on our landing pages by as much as 40% and we’ve also improve our Quality Score in Google ads, so we pay less for clicks on our ads because we’ve improve the experience of our landing page. You could do the same thing by creating different landing pages for each ad you have, but that can quickly get out of hand if you are running hundreds of ads. Symmetric messaging is a powerful use case for personalization that helps you get the most out of your ad dollars and is a no-brainer if you are running paid ads.
Another campaign we are running uses Adaptive Audiences, the name of our natural language processing tool. It uses machine learning to generate audiences based on the content on the page.
Take retargeting campaigns for example - with AA we have created separate retargeting audiences for example product content is grouped into the product audience and then can serve product themes ads on FB and lowered our CPA. P13n is used to improve
So Optimizely is great for creating always-on campaigns. We also use experimentation to measure the outcomes and optimize the personalized experiences we deliver.
Another example of personalization based on industry. In this example we personalized the resources that visitors saw on our resources page by industry, and saw a 20% increase in clicks to our resources.
The impact of some personalization ideas are not always clear. That’s where it is important to incorporate experimentation into your personalization process, so you are able to test out different experiences for segments of your visitors before they are deployed. In this example, we ran an a/b test on the Customers page where we personalized the case studies the visitor saw based on their industry. We did this through the use of Demandbase, which provides firmographic data about visitors based on their IP address. If are able to detect that the visitor is from a retail company, we display retail case studies, vs if a visitor is from a media company we display media case studies. Through this simple change, we saw a 40% increase on visits to our case studies.
Common misconception is “set and forget”
The first is an experiment we ran this year on our Contact Sales buttons. This was a simple copy test, where we tested 4 different versions of the CTA against the control, which was “Talk to Us”. The winner was the “Get Started” variation, which resulted in a 129% increase in CTA clicks. However, we only saw an 8% increase in actual form submissions. So while this experiment resulted in some positive improvement, we knew we could do better. This provided us with an opportunity to iterate on the experiment to improve performance further.
This is the follow-up experiment that we launched. So when you click on the CTA, it shows a popup modal. Our hypothesis was that the button text change resulted in more clicks, but didn’t result in as many submissions as it could because there was a mismatch between the modal copy and the button text, and because the copy on the modal wasn’t compelling enough. We updated the copy on the modal to be something more punchy and benefit focused, and saw a 16% increase in contact sales requests.
Perri - Happy to join in here, Takeshi, this wouldn’t be a p13n webinar if we didn’t talk about strategies for reaching the right person at the right time with the right messaging. We have some great examples of how we engage key visitors with what we call “laser beam” targeting, within our Account Based Marketing programs.
At Optimizely, we take a tiered approach to ABM, segmenting our accounts into different levels based on their account potential. And we mirror this ABM approach on our website through the level of personalization we commit for campaigns at each tier.
For top tier accounts, we use one-to-one personalization. This laser beam campaign included a personalized version of our homepage for Salesforce employees, who we targeted based on reverse-IP lookups. This was a completely tailored experience, personalizing the imagery, copy, and CTAs for this single account.
This type of personalization is difficult to scale, but can be a powerful way to drive engagement with your top accounts. At Optimizely we have had numerous successful deals that started in part through engagement with our one-to-one personalization.
Here is an oldie but goodie. Awhile back we went through a migration, moving from our classic solution to Optimizely X. We wanted this experience to feel extremely personal for our customers and so we used a P13N campaign to facilitate 1 to 1 conversations with a member of the customer’s account team. The campaign allowed us to dynamically show the name, photo, and a custom CTA for members of the customer accounts who we still needed to migrate...These laser beam campaigns are instrumental when it comes to adding a personal touch to communication. They are about providing white glove treatment to our core accounts.
We’ve all had that moment of frustration when despite our best navigation efforts, the information on the web page before us isn’t what we are looking for, and feels like a waste of time. Let’s talk about some examples of how we use Optimizely on Optimizely to target our broader audiences with the most relevant info.
Experiment
As I mentioned earlier, personalization is something we make use of a lot at Optimizely. One of the areas that we use personalization on is to display the promotions that appear on our login page. The reason for this is two-fold. One, the login page is actually a part of our Optimizely app, so if we wanted to make changes to the page without personalization we would have to go through engineers and do a code push, which would greatly slow down how quickly & often we could update this page. By running the promotions through web personalization, anyone on the marketing team is able to quickly go in and update these promotions on the fly.
Another benefit of using personalization to power these promotions is that we can personalize them for the specific user. For example, if we are hosting a meetup in Chicago, we can display a promotion to users only in Chicago, or if we have a Europe focused webinar, we can show the webinar only to European visitors.
We also use personalization to do localization across our site as well. Here is a screenshot of our plans page, which displays the contact number for our Sales team, and this is localized by region based on the location of the visitor. This is powerful for us because we only have two sites (North America & Germany) but have customers around the world. With personalization, we are able to deliver dozens of different experiences without having to have dozens of different sites. We also use personalization to localize other areas of our site, such as the benefits on our Careers page.
If you don’t have all the information you can still do 1-1 personalization without having to build an algorithm from scratch
Not a black box, you can choose how you individualize the content recommendations
Adaptive Audiences
Approach Personalization as an opportunity to test, learn, and maximize results
Experimentation program managers are essential to your success
Continuous iteration on experiments will uncover new opportunities
At this time let’s open the floor for questions, if you haven’t added any yet feel free to type them into the webinar’s interface
Seed Questions:
Jaimie: We’ve heard a lot about personalization but haven’t yet taken the plunge, what are some easy ways to get started?
Mike: Do you recommend launching personalization campaigns during high traffic months (like Christmas or Valentines Day for retailers) or waiting to launch when web traffic is slower?
Arun: Do you have personalization or experiment benchmarks you are working against? How do you know if a campaign is successful?
Vrushali: With so many experiments and personalization campaigns running, how do you prioritize what a users sees? What if they fall into different segments you want to target?
Before we go to questions, I want to give a quick shout out for our next webinar in the ‘Under the Hood’ series on December 5th.
In this webinar, Claire Vo, our SVP of Product and Rebecca Bruggman, Technical Program Manager will talk about scaling an Experimentation Program and Getting Executive Sponsorship.
We’re now ready for your questions.
Hopefully we can agree that p13n is important So, how do we do it?
But we often know varied levels of information about our users. How does Optimizely address those different scenarios?
We support Dynamic Profiles - This is a powerful way for when you actually have information about your users from one source or another (maybe they are your known users, or perhaps you have some information from a 3rd party)
There are plenty of cases when you don’t have a profile on your visitors. We have solutions for that too.
You can set up behavioral targeting rules - so if the customer takes a key action you can nudge them down a personalized path in real-time
We also offer Natural Language Processing which allows you to customize the experience based on when your user engage with certain words and copy on your site. We call this alternative real-time personalization “Adaptive Audiences”
With that I’ll turn it over to Takeshi to demonstrate how we put these capabilities to action to achieve our goals.
Another way we have combined experimentation and personalization is with our webinars targeted to specific roles. We used a different type of experiment called a multi armed bandit which is optimized to produce the most conversions in a set amount of time.
While the results here are not statistically significant, we were able to run different CTA tests and allocate traffic to the highest performing
For top tier accounts, we use one-to-one personalization. In the example above (from our old homepage) we have personalized the homepage for Salesforce, which we were again able to determine through firmographic data based reverse-IP lookup. We have created a completely tailored experience in this instance, personalizing the imagery, copy, and CTAs for this single account. This type of personalization is difficult to scale, but can be a powerful way to drive engagement with your top accounts. At Optimizely we have had numerous successful deals that started in part through engagement with our one-to-one personalization.