Simar, CEO and Founder of OptiPhoenix, shared invaluable insights on A/B testing and CRO at Experiment Nation. Here are 5 key takeaways: Don’t rely solely on macro goals: Micro goals reveal user behavior, driving better testing strategies and informing future hypotheses. Iterative testing trumps scrapping: Learn from failed tests by adjusting hypotheses and running new experiments, boosting your win rate. QA is critical but often neglected: Invest time in thorough QA, ensuring your test is accurate and integrated correctly. Outsourcing AB test development can be beneficial: Consider outsourcing for faster scale-up, access to expert resources, and reduced development burden. Prioritize experimentation within your workflow: Make A/B testing an integral part of your product development process, leading to better decisions and faster results.

Avishek Basu Mallick, a Senior PM at CheapOair talks about: - Experimentation at scale: Even with high traffic, rigorous experimentation is crucial. - Idea generation: User research, NPS surveys, and internal stakeholders are valuable sources of experiment ideas. - Communicating progress: Regular updates with leadership build trust and ensure alignment. - Personalization is nuanced: Distinguish between customization, segmentation, and true personalization. - Generative AI’s potential: Explore its use for simplifying the travel planning experience.

Michael St Laurent, a seasoned CRO expert, shared his insights on large-scale testing Here are 5 key takeaways for marketers: Prioritization is key: Large-scale testing requires prioritizing tests based on potential impact and aligning with overall business goals. AI is the future, but humans guide it: Mike emphasizes the power of AI in automating processes and analyzing data, but highlights the importance of human expertise and guidance. Data quality is crucial: AI models rely heavily on the quality of data. Invest in building a robust data infrastructure to ensure accurate results. People are the biggest challenge: Navigating internal politics and managing stakeholder expectations is often the biggest hurdle for large-scale testing. Building a testing culture is a win: The ultimate goal of large-scale testing is to create a data-driven culture that fosters continuous improvement and better user experiences.

Ellie Hughes, a top CRO expert and Experimentor of the Year, shared some incredible insights in her recent Experiment Nation interview. Here are 5 takeaways to boost your experimentation game:- Start Small and Stay Curious: Ellie emphasizes that experimentation is a journey, not a destination. Start small, stay curious, and never stop learning!- Prioritize Value, Not Tasks: Focus your time on activities that truly drive client value, like uncovering insights and ideation, rather than spending hours on tedious tasks.- Set Clear Expectations: Clearly define reporting timelines and communicate about peeking, managing client expectations, and setting the stage for success.- Embrace Iteration: Experimentation is an iterative process. Be open to changing your process, adapting to new learnings, and continuously improving.- Maximize Impact Through Big Ideas: Larger changes can be easier to detect, resulting in faster results and more impactful growth. Encourage clients to think big!

Join us for a deep dive into conversion rate optimization on low-traffic sites with these actionable insights Chris MercerMeasure before optimizing: Understand the current user journey and behaviors to identify areas for improvement.Test sequentially: Iterate faster on low-traffic websites by testing changes sequentially instead of using AB tests.Focus on the right metrics: Prioritize actions that drive meaningful outcomes, such as lead generation or revenue.Listen to the market: Gather user feedback to inform your optimization strategy and meet their needs.Automate measurement: Leverage Google Analytics 4 to collect and analyze data effectively to guide decision-making.

Discover the power of experimenting to learn and win! ?Nick Murphy shares his expertise on building learning libraries. Here are 5 key takeaways:- Learning libraries capture the “why” behind successful and unsuccessful tests.- Organize your learning library with consistent and digestible fields.- Use “broad” and “specific” learning columns for a layered understanding.- Encourage cross-team collaboration by sharing insights company-wide.- Learning libraries foster a culture of experimentation and growth.

In this episode, senior customer experience leader, Courtney LeBlanc, reveals the ideal partnership between CX and experimenters and shares invaluable insights on:Forging powerful partnerships between CX and experimentersNavigating the daily demands of a CX leaderSimplifying CX workflows with customer insights... and so much more!Don't miss out on this enlightening conversation from an expert in the CX game!

How do you get Product Managers to adopt Experimentation? Shagun Aulakh, the Director of Product Management - Experimentation at American Express shares with Rommil here tips.

In this episode, we have Joey Herzberg who shares his thoughts on how AI fits in the experimentation life cycle, the utility of keeping easily referenced records of test results, and the importance of experimentation strategy with regard to sample ratios.

Learn about human-first engineering in this in-depth interview where Shawn David discusses strategies to organize work and to break down tasks into smaller digestible sessions. He explained the most effective ways for teams to discover the work that should be automated the most by focusing on the desires and strengths of individuals, to remove work that is menial especially to them. We explored the impacts on company culture that menial tasks can cause and discussed some of the pitfalls with new technologies as well as lessons to keep in mind while reviewing new tools and technologies.

Join Nima Yassini as he dives into experimentation culture, the journey of building a brand UX and digital marketing agency focused on conversion rate optimization, the integration of digital marketing and experimentation culture, the struggles and benefits of adopting a culture of experimentation, and the need for leadership and reinvestment in the experimentation industry.

CEO and founder of Delivery Layer, Solomon Kahn shares why he thinks that most companies should NOT be A/B testing and what we should do instead. He also shares details about his recent exchange with Ron Kohavi on LinkedIn on this same topic. What side are YOU on?

It's that time of year again! It's time for Experiment Nation's 2024 CRO Salary Report. In this episode, we explore some of the report's highlights with Tracy Laranjo as well as ask her for her thoughts on how CROs and Experimenters can get paid fairly.

Zach Lebovics shares insights on experimentation and product management. He discusses the importance of documenting assumptions, testing the best-case scenario first, and understanding that experiment failure isn't solely tied to the outcome. Zach also shares personal experiences and learnings from working in companies like Zynga, Ritual, and Tonal, providing valuable tips for product managers.

Media.Monk's Juliana Jackson shares the truth about app development, optimization, and how web and app should work together.

Media.Monk's Juliana Jackson shares the truth about app development, optimization, and how web and app should work together.

Fractional Head of CRO, Tracy Laranjo talks about the power of Mentorship for Conversion Rate Optimizers (CROs). We cover:Why would CROs need mentorship?How do you find one?When are you ready to be a mentor and how do you get that word out?Would Tracy be a mentor for our listeners?

In an insightful interview at Experiment Nation’s Conference, Bryce York, Director of Product Management at Tatari, delves into several key insights. He explores the parallels and distinctions between CRO and product management, especially in smaller companies where overlapping skills are crucial. Bryce shares his personal journey from entrepreneurship to product management, underscoring the significance of both qualitative and quantitative data in experiment design. Additionally, he emphasizes the importance of documentation and knowledge sharing in cultivating an experiment-driven culture.

Documentation. The unsung, yet incredibly important part of any experimentation program. Great documentation allows you to look back at past experiments and find patterns of what were the most effective levers to inform your testing roadmap and levers you probably can deprioritize. In today's episode of Experiment Nation, our own Charlotte April Bomford recently spoke to Edmund Beggs about the "Levers Framework" which allows Convert.com to deliver results for their clients in shorter amounts of time. If you'd like to learn more about this interesting framework, watch the full interview.

Simon Girardin emphasizes the importance of learning from every test, capturing value by reviewing data, segmenting results, and analyzing user behavior through session recordings and heatmaps.