Optimizely's Optimization Benchmark Findings Webinar Slides

The document discusses strategies for website redesign. It includes presentations from several speakers on their processes for gathering user data, determining redesign goals, and using testing to validate redesigns. Tactics discussed include using analytics, click tracking, user feedback, and A/B testing tools to inform redesign decisions. Goals like conversion rates and key metrics to track are also covered. The importance of testing all stages of the redesign process is emphasized.

By harnessing insights from experimentation, people across your organization can contribute ideas and decisions that take the customer experience to new levels. To take advantage of this, forward-thinking organizations are getting everyone involved in experimentation. These slides will share how General Assembly is cultivating a culture of experimentation and the impact it’s making company-wide.

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.

This document discusses best practices for optimizing Optimizely performance, including: 1. Implementing the Optimizely snippet synchronously before other tags to avoid flashing and integration issues. 2. Using a content delivery network to deliver the snippet for fast loading. 3. Understanding the order of execution for Optimizely experiments to ensure proper prioritization and evaluation. 4. Avoiding common issues that can cause flashing like using regular JavaScript in experiments.

The document introduces the Optimizely Professional Services team and how they can help customers leverage digital experimentation. It discusses achieving consistency and continuous experimentation through expertise, governance models, processes and technology. Example projects from the services team include tools for non-technical editors to test headlines and embedding experimentation in company workflows. The agenda concludes with a fireside chat from HEMA and Farfetch on their experiences.

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

In this on-demand webinar, join Nate Wallingsford—Head of US Marketing Operations & Optimization at The Motley Fool—for a virtual discussion about experimentation at his organization. Discover how Nate and his team are leveraging experimentation to uncover massive revenue gains and actionable customer insights. And learn how Nate has worked to gain visibility and create excitement around testing.

Featuring speakers from The Next Web, Moz Martijn Scheijbeler, Lead Growth, SEO & Analytics, The Next Web Andy Nelson, Director of Growth Marketing, Moz Khattaab Khan, Strategic Consultant, Optimizely If you’re running A/B tests consistently, you’re already on the right track. But how can you take the next step and turn your testing efforts into a well-oiled growth engine that scales? Moz, charity: water, and The Next Web have all achieved tremendous success within their optimization programs and have figured out how to effectively run hundreds of experiments a year. Learn how these companies increased the impact of their testing programs by leveraging tools and processes that scale.

1. The document discusses challenges with traditional website personalization for B2B companies, including focusing too much on lead generation and not optimizing for outcomes further down the sales funnel. 2. It advocates for a value-based segmentation approach that targets the most valuable audiences based on attributes like being targeted accounts, existing customers, and intent levels. This requires connecting disparate data sources. 3. The document proposes scaling personalization efforts over the long term through automation, including predictive decisioning that selects the optimal experience for each visitor in real-time to maximize outcomes. This continuous learning approach requires unifying customer profiles and measuring engagements and conversions.

Magento Meetup New Delhi- AB Testing This slide is all about AB testing and this slide is having details about- What is AB testing? Why to opt AB testing? How to do AB testing?

Personalization has its place in delivering great experience, but it’s not enough for consumers today. To achieve higher brand loyalty and customer satisfaction we must build & deliver individualized experiences which drive higher engagement. Learn how to make personalized and individualized experiences a reality. Speaker: Naresh Khanduri, Capgemini

How do you know where to start with experimentation? What if you don’t have enough information, or simply too much to decide where to begin and where to invest your time/effort/money? In this breakout session we will cover how to cut the BS by treating experimentation as an “internal services startup”, where the customers are the teams in your business: commercial, trading, marketing, product, SEO etc. You wouldn’t start a startup by hiring a bunch of people without a tool or an idea to work on, or buy an office or expensive work management solution for a startup of 3 people without developing a product and taking it to market first. So why treat experimentation that way?

This document discusses A/B testing of emails and landing pages. It explains that A/B testing involves showing different versions of a site to visitors to see which performs better according to goals like purchases or leads. Effective A/B tests identify goals, choose a page or email to test, select an element to vary like headlines or buttons, state a hypothesis, and track results to determine a winner. Examples of testing ideas included formatting, subject lines, "from" lines, button placement, headers and banners. The document emphasizes using data from A/B tests to improve performance rather than personal preferences.

Yahel Carmon, Director of Insight Produce, Blue State Digital James Fox, Solutions Architect, Optimizely Optimizely has powerful features, both exposed and under the hood, that make it easier for developers to implement sophisticated tests without re-inventing the wheel with each test. Yahel Carmon, Director of Product Insights at Blue State Digital, and James Fox, Solutions Architect at Optimizely, discuss the ways Optimizely makes developers' lives easier, giving demonstrations of the technical strengths of the platform and real-world examples of how to leverage Optimizely to manage an online testing program. Learn how to implement Optimizely the way advanced users and developers do, and ensure you're not missing out on its hidden gems.

Mailchimp, an all-in-one marketing platform for small businesses, has built innovative, beautiful products that empower those businesses to scale. No longer just an email marketing tool--the shiny, new marketing platform’s mission is to empower the underdog to connect with their audiences and create the customer loyalty that’s needed to grow. In this webinar, Anne Reints, Senior Manager, Growth Analytics & Experimentation at Mailchimp, will discuss how Mailchimp is continuing to build a culture of experimentation and has leveraged testing across both their product and marketing teams. Join this webinar and learn: The history of growth and experimentation at Mailchimp How Mailchimp grew their experimentation program by 6,000%+ in 12 months, going from just 1 experiment to over 60 About the launch of their internal Experimentation Resource Group How they created a data-driven decision-making framework across the company

This document discusses how to develop products with a growth approach rather than being feature-driven. It recommends focusing on goals and key results rather than features by using an OKR framework. Ideas should be prioritized and tested using a score based on metrics like impact, ease of implementation, and ability to reach users. Regular testing and analysis of results should inform reprioritization of the backlog to focus on improving key metrics like activation, retention and revenue. The process emphasizes continuous learning and improving based on feedback from users.

Optimizely recently released the stats engine, which moves away from the traditional statistics model and into a new framework that is more aligned with modern business operations. In this workshop, we’ll walk you through the core trade-offs in A/B Testing, and how you can use them to decide when to stop running your test.

Benchmark Your Optimization Program ❯ Featuring speakers from Optimizely Shana Rusonis, Content Marketing Manager, Optimizely What does 'normal' look like for an optimization program? What about best-in-class? What are the opportunities and challenges facing teams that are optimizing, and how do they allocate their manpower and budget towards them? We sought out the answers to these tough questions for our first industry benchmark report. Join Optimizely for an in-depth discussion of how to quantify and benchmark optimization performance.

Main Takeaways: - How to get realistic on proxy metrics - Launch metrics for every launch or feature

As CSMs, we can usually rattle off a number of metrics and statistics that we use to measure our customer's health and success -- but it gets a little less standardized when others ask us how we measure our own success. Renewals and churn are both important metrics to keep an eye on, but they're not the only ones. In this webinar, we’ve partnered with Sparkcentral to discuss: - The benefits of a top-down approach when re-evaluating CS team goals - The importance of CSAT metrics - Which KPIs to measure if Account Management and CS roles are combined - Which questions to ask yourself when exploring and assessing your team’s current KPIs and goals Join Krysta Gahagen and Julia Burnett, two Customer Success Managers from Sparkcentral, for the rundown of which KPIs are truly key for CSMs, and why.

An overview of metrics and a quick run through of a product lifecycle metrics model to track state and health of any product.