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Measuring your experimentation program’s success is fundamental to improving your organization's maturity. Operational metrics and Optimizely’s Maturity Model provide insight and direction on how experimentation is impacting your business and where you can make operational and organizational improvements. In this session, you'll learn about Optimizely's Maturity Model and where experimentation organizations measure across it. Come join and see how organizations have progressed from each level and improved on the most important operational metrics.

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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

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Learn how leading brands have taken their digital to new heights. Join this webinar for insight into the digital journeys of leading brands and uncover the steps they have taken to grow and evolve their digital experimentation programs. We’ll be diving into how these digital leaders got to where they are now, looking at their approaches to change in terms of team, culture, strategy and technology. And what kind of results that change has delivered for their businesses. In short, Webinar 3 provides a unique opportunity to learn from real life examples of digital experimentation in action. By discovering those key ‘wish I'd known’ moments, you can turbocharge your own progress. Save time, money and headaches along the way. And begin your 2019 with a renewed sense of optimism. Join Jason G'Sell, our Senior Training Consultant, in this session to: - Hear the digital transformation journeys of leading brands. - Learn from real life examples of challenges they've had to overcome in teams, culture, strategy and technology. - Discover actionable insight including key takeaways and "wish they'd have known" moments. Webinar link: https://www.optimizely.com/resources/how-to-go-beyond-ab-testing/ Optimism Series webinar link: https://www.optimizely.com/optimism-webinar-series/

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Whelan Boyd, Product Manager at Optimizely will be joining Alex Wald and Mike McKee from BiggerPockets’s Growth and Engineering teams to share how using Performance Edge by Optimizely can help teams scale experimentation with minimal performance impact to drive better conversion rates and less abandonment. In this webinar, you’ll learn: - Best practices for measuring website performance - Ways to experiment client-side without affecting site performance - How BiggerPockets saw improved site performance by adopting Performance Edge

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Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations. Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations. In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".

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Guided by Optimizely's training team, participants will leave this session armed with the tools and resources to enable their organization with the technical and strategic skills needed to build a successful optimization program. Through modeling of best-practices and facilitation techniques, participants will gain a strong foundation in the three key Optimizely training modules: Optimizely X - Platform Training, Strategy Ideation, and Hypothesis Creation, and Result Review and Analysis. This workshop focuses on how to facilitate and what to expect before, during, and after a training. We will discuss the key learning objectives, common questions and takeaways, and follow-up resources from each module. Join us and learn how to deliver powerful Optimizely trainings to enable your team.

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Your product is the most important influence on your user experience and lifetime value. The ability to continually learn from your product changes and maximize your outcomes is a critical indicator of driving revenue for your business. Don't be complacent with incremental changes, learn how to find insights that will drive a 10x impact for your business. Hear from Tanner McGrath, Head of Product Analytics, and Bilal Mahmood, Head of Product from Amplitude cover: - Using your product as the influencer for your user’s experience and lifetime value. - Learning from your product changes and maximize your outcomes to drive revenue for your business - Finding insights that will drive a 10x impact for your business

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I’m not going to spend any time on Google Analytics. How healthy is this business? It’d be great to track metrics like these: 1 MRR, Churn, LTV, acquisition cost 2 Virality, DAU, MAU 3 Average order value, repurchase rate 4 Funnels and conversions But you don’t have any data yet Your data is in a constant rate of decay Your data is messy Use metrics that measure your biggest problem. Ignore the rest. Gateway Metrics When picking metrics, always ask yourself: What’s my biggest constraint right now and which metric will tell me if I’m making progress? You need to do the right things in the right order. Gateway #1: Is your idea any good? Your main constraint: Getting anyone to care about your idea. Your main metric: Get someone to pay or use your product regularly. Bad metrics for this gateway: 1 Asking people if they’ll pay 2 AdWords clicks 3 Beta or waiting list signups 4 Traffic Gateway #2: Is your product good enough? Your main constraint: Having a product that’s good enough to build a business on. Your main metric: Ask 500 users the Product/Market Fit Question What is the P/M Fit Question? Your goal for the P/M Fit Question: At least 40% of users should say “Very disappointed.” *Sean Ellis and Hiten Shah get credit for this one. How do you get to the first 500 users/customers? Hustle. The P/M Fit Question isn’t perfect, verify with a retention metric. Gateway #3: Can you grow? Your main constraint: Acquiring customers consistently from at least one channel. You have plenty of options to choose from: 1 Inbound (Google, Content, Social) 2 Paid (PPC, Affiliates) 3 Virality (Invites, Referrals) Pick just one to start Work on your channel for at least 3 months. Assume it’ll work and get the resources needed to execute. Your main metrics: Your main business metric and acquisition funnel. Main business metrics: 1 SaaS: Monthly Recurring Revenue 2 Ecommerce: Monthly Revenue 3 Consumer Tech: Monthly Active Users Why not cost per acquisition or lifetime value? You have no idea how much it costs to acquire customers or how much they’ll spend (yet). Gateway #4: Do you have a stable model? Your main constraint: In order to keep scaling, you need a stable model for your business. Your main metrics: Depends entirely on what business model you have. The SaaS Model The Ecommerce The Consumer Tech Model Find someone in your industry that knows the key benchmarks. Finally, get serious with data. If you have a sales team, pile data into your CRM. If consumer tech, do everything in-house. Google Analytics plus an internal database will take you far. Start with constraints, hack together what you need to measure them. How to get data you really need: 1 One team owns data quality. 2 Hire a data engineer. 3 Clean up and integrate your data. 4 Use customer analytics. 5 Build a Growth Team.

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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

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Every company with a digital presence aims at delivering a great digital experience. But why do some web and mobile apps succeed better than others? As part of our ongoing search to find out, we surveyed over 1,000 technical experts and business leaders from various industries. Join us for a live webinar as we discuss the findings of this report with experts from Perfecto, Cigna and Shop.com! Topics include: -The four main obstacles preventing digital success and how to overcome them -How web & mobile teams are organized to meet the demand for faster releases -The digital testing strategies that increase velocity and allow teams to keep up with consumer demand -Why automation and real-user condition testing is critical for achieving success

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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

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There’s no mistaking how important initiatives like DevOps and Continuous Delivery have become to organizations seeking to gain a competitive edge. But without the right metrics, enterprises that have adopted DevOps or Continuous Delivery strategies have no way of measuring their effectiveness in the context of their digital transformation goals. So what are the right measures that can answer questions like “are we getting better at delivering high-quality software faster and at scale?” and “has all this effort been worth it?!” Learn ways to better measure the processes and output of your DevOps and Continuous Delivery transformation. You'll also learn: How to identify the best metrics for various stakeholders in your software development lifecycle How to measure and demonstrate the business value and effectiveness of DevOps and Continuous Delivery processes and programs How to address some of the challenges along your process that these metrics and KPI's may reveal

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Did you know that you can develop awesome products with zero product specifications ? We have recently quantified the gains for a product we built using Lean Startup and MVP approach and were pleasantly surprised to find that we could quantify minimum 47% gain in time-to-market, 32% cost savings, 55% improvement in product quality and 40% gain in business value as compared to traditional product development methods.

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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

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