experiments

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Published By: Marketo     Published Date: Sep 03, 2019
It’s critical for marketing teams to adopt experimentation to continually improve and help prove their impact to their organizations. Unfortunately, many teams do not know how to deploy scientific tests correctly in the marketing process. Most do not use an iterative design approach, while many others fail to create the right kind of environment to encourage curiosity and experimentation. What must marketers do to build a culture of innovation, and test their way to successful engagement marketing? Download Marketing Experiments in an Age of Accountability to learn about: Accountability and experimentation living in harmony The experimental marketing team Experimentation basics and how-to’s Real experiments and their results Where and how to use experiments
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Marketo
Published By: Zoom     Published Date: May 15, 2015
This is a case study about using Zoom's high quality video platform to collaborate with students.
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Zoom
Published By: Optimizely     Published Date: Apr 06, 2018
The Need When building websites and applications, too many companies make decisions- on everything from new product features, to look and feel, to marketing campaigns- using subjective opinions rather than hard data. The Solution Companies should conduct online controlled experiments to evaluate their ideas. Potential improvements should be rigorously tested, because large investments can fail to deliver, and some tiny changes can be surprisingly detrimental while have big payoffs.
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Optimizely
Published By: Optimizely     Published Date: Apr 06, 2018
Getting the most out of A/B and other controlled tests. In the fast-moving digital world, even experts have a hard time assessing new ideas. Case in point: At Bing a small headline change an employee proposed was deemed a low priority and shelved until one engineer decided to do a quick online controlled experiment—an A/B test—to try it out. The test showed that the change increased revenue by an astonishing 12%. That experience illustrates why it’s critical to adopt an “experiment with everything” approach, say Ron Kohavi, the head of the Analysis & Experimentation team at Microsoft, and Stefan Thomke, an HBS professor. In this article they describe: How to properly design and execute A/B and other controlled tests ? Ensure test integrity ? How to interpret results and avoid pitfalls
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Optimizely
Published By: Optimizely     Published Date: Apr 06, 2018
Optimizely helps companies better understand and serve their customers. Every touchpoint with a customer is an opportunity to win that customer’s heart, make them great, and make them better. By experimenting everywhere, businesses have a powerful strategy for reorienting towards their customer as the true north, striving to iterate quickly, make improvements, and deliver customer experiences that are delightful and fuel growth. Optimizely enables you to experiment everywhere—both across the organization and across every interaction you have with a customer. In a company that experiments everywhere, everyone from Marketing to Product Management, Design, Engineering, and the C-Suite can inform their decisions with experiments that engage customers for their reactions.
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Optimizely
Published By: Optimizely     Published Date: Dec 01, 2015
In Optimizely’s independent survey of digital channel owners with Dimensional Research, we observed an emerging set of behaviors that indicate sophisticated optimization being done by teams actively running A/B and multivariate experiments. These teams are doubling down on the people and processes needed to accelerate the development of their optimization programs. The result? Faster business benefits and in greater orders of magnitude.
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a/b testing, customer experience, sophisticated optimization, optimization programs
    
Optimizely
Published By: Optimizely     Published Date: Dec 01, 2015
Statistics are the underpinning of how Optimizely’s customers use data to make decisions. We use experiments to understand how changes we make affect the performance of our online experiences. To do this, we need a framework for evaluating how likely those changes are to have an impact, positive or negative, on a business over time. To run great experiments, investing in an understanding of statistics is one of the most important skills you can develop. Statistics provide inference on your results and help to determine whether you have a winning variation. Using statistical values to decide leads to stable, replicable results you can bet your business on. Lack of understanding can lead to errors and unreliable outcomes from your experiments.
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statistics, experiments, data, customers, results, variation
    
Optimizely
Published By: Optimizely     Published Date: Jun 05, 2017
Learn about statistical significance, statistical error, and the concepts behind Optimizely’s Stats Engine: - Best practices for running your experiments to statistical significance - Tips for communicating results, optimizing low-traffic pages, using confidence intervals, and more - How Optimizely is creating an always-valid view of statistical significance
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optimizely, online experiments, statistics, statistical significance, optimizely stats engine
    
Optimizely
Published By: Optimizely     Published Date: Jun 09, 2017
How can your brand turn the challenges facing retailers into competitive advantages? Download the guide, Thriving in the Era of Personalization: 5 Challenges for Retailers to Overcome.
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optimizely, success strategies, personalization, retailers, retail, cross-channel experiments, optimize user experience
    
Optimizely
Published By: Optimizely     Published Date: Sep 28, 2015
In Optimizely’s independent survey of digital channel owners with Dimensional Research, we observed an emerging set of behaviors that indicate sophisticated optimization being done by teams actively running A/B and multivariate experiments. These teams are doubling down on the people and processes needed to accelerate the development of their optimization programs. The result? Faster business benefits and in greater orders of magnitude.
Tags : 
a/b testing, customer experience, sophisticated optimization, optimization programs
    
Optimizely
Published By: Optimizely     Published Date: Nov 05, 2015
Statistics are the underpinning of how Optimizely’s customers use data to make decisions. We use experiments to understand how changes we make affect the performance of our online experiences. To do this, we need a framework for evaluating how likely those changes are to have an impact, positive or negative, on a business over time. To run great experiments, investing in an understanding of statistics is one of the most important skills you can develop. Statistics provide inference on your results and help to determine whether you have a winning variation. Using statistical values to decide leads to stable, replicable results you can bet your business on. Lack of understanding can lead to errors and unreliable outcomes from your experiments.
Tags : 
statistics, experiments, data, customers, results, variation
    
Optimizely
Published By: Optimizely     Published Date: Jun 02, 2017
How can your brand turn the challenges facing retailers into competitive advantages? Download the guide, Thriving in the Era of Personalization: 5 Challenges for Retailers to Overcome.
Tags : 
optimizely, success strategies, personalization, retailers, retail, cross-channel experiments, optimize user experience
    
Optimizely
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