Speero

Our first EXL Meetup was a hit! 50+ data, growth, product, and experimentation peers meet in Bogota to talk about challenges inside some of the largest brands in South America. Next: London and Miami. Why EXL Meetups? We want to test bringing the energy and values of Austin's #EXL to many cities around the globe.The meetups are casual. No powerpoints No pitching No pompousness Only People EXL is a half conference, half networking event. With its unique structure (IYKYK) we really focus on relationships and connecting people. We wanted to scale this. Push this concept up and across. EXL Meetups are our brand mechanism to do this. Like everything it's an experiment. We plan to host 10+ of these before 2025's #EXL. The start was in Bogota. Next up: — London 🇬🇧 (Nov 14th) — Miami 🇺🇸 (December)  — 🇧🇷 Rio & São Paulo (January) And many more cities after! (If you want to host DM Speero or Annika Thompson) Some orgs that attended last night: - Alkosto - VTEX - Totto - MasterCard - MercadoLibre - La Haus - Banco de Bogotá - Seguros Bolívar - Monet Scaling experimentation is challenging, and sometimes these kinds of interactions spark the best ideas and solutions to overcome the real-world obstacles people face. EXL Meetups are all about learning what works today and building lasting relationships with industry peers. This is just the beginning.

Ever said to yourself, "I'm not going to talk about my tests on LinkedIn!"? Turns out plenty of optimizers think the same. But can you avoid not showing your work on social in 2024? Convert(com) is bringing us a panel on case studies and making them awesome. Their moderator Deborah O'Malley (GuessTheTest) is joined by Simon Girardin (Conversion Advocates), Carlos Trujillo (Speero) & Claire More (eNavi). Together they will: 1. Talk about making stats play nice with case studies 2. Share the ultimate case study template (for newbies and pros alike) 3. Reveal how to navigate NDAs and privacy issues when publishing test numbers 4. Discuss how those with more experience can hold the bar high, while keeping the #cro space welcoming and kind Save your spot with the link in the comments. Highly recommended for agencies & experts who wish to build their brand and a qualified pipeline through thought leadership on LinkedIn.

At what point do you move on and start testing something new? When should you continue iterating because there’s still some juice left to squeeze? The Iterate Vs Move Blueprint deals with this. Why is this such a big question? Because a lot of times, the cost of iteration is a lot less than the cost of building something entirely new, especially from the web dev side. The biggest risk with iterating depends on the tests you’re backfilling. If you’ve run less than 3 tests and are still generating high-quality insights, then (probably) there’s still some juice left for you to squeeze. If you’ve run more than 3 tests, but didn’t run research, that’s your sign to run research. Your iterations and program will thank you for it. If your test is only backed with 1 source of research, (potentially) augment that research, because investing (a little more) in research may help you understand where to iterate. Rather than just kind of pulling ideas out of your hat. It’s important to look at where the research is guiding your test prioritization and where to focus your iterations. If you’ve been running more research but can’t find new testing avenues to explore, that’s the part where you might want to say “Let’s move on to something else as a part of a new test”. One more thing: If you’re testing around a business priority, continue to iterate. Big thanks to the blueprint owner, Shiva Manjunath. Keep in mind that, like many other prioritization frameworks, this is a loose guide. Adapt it to your business rather than just copy what someone else is doing and blindly use it. PS — If you got any questions or feedback, contact Ben Labay or Martin P. Link for the blueprint in the comments.

LinkedIn and experimentation are a weird mix. So many of us don't want to talk about their tests on social. But without showing what we do, how can the industry move forward? This is why Convert(com) is bringing you a panel to make case studies great again! Deborah O'Malley (GuessTheTest) is joined by Simon Girardin (ConversionAdvocates ), Carlos Trujillo (Speero) & Claire More (eNavi) to: 1. Talk about making stats play nice with case studies 2. Share the ultimate case study template (for newbies and pros alike) 3. Reveal how to navigate NDAs and privacy issues when publishing test numbers 4. Discuss how those with more experience can hold the bar high, while keeping the #cro space welcoming and kind Save your spot with the link in the comments. Highly recommended for agencies & experts who wish to build their brand and a qualified pipeline through thought leadership on LinkedIn!

Here’s how you can measure interaction effects when running multiple tests: ➡️ Check the chance of possible interactions with Sample Ratio Mismatch (SRM) Checker from Lukas Vermeer. ➡️ Segment the data in the same way you would segment traffic sources or device categories and check the outcomes for cross-sectionality. ➡️ Adjust for multiple tests with Šidák correction. ➡️ If the number of tested interactions is in the hundreds or more, consider using the Benjamini-Hochberg-Yekutieli False Discovery Rate adjustment—Geogi Georgiev. Do you now immediately need to learn about the corrections and adjustments? Not necessarily. "Generally, these are rigorous ways to address the interaction effects. But also just knowing these effects do hurt detectability level (and if you and your team are ok with this tradeoff), then you take the hit on confidence and move forward”—Ben Labay, Managing Director of Speero.

Hey, we aren’t only running a webinar with Michael Aagaard but also offering a giveaway of his course “Landing Page Optimization” to anyone who registers for the webinar. Get answers to questions like: - How can you effectively implement multivariate testing to optimize complex landing page elements simultaneously? - Can you leverage ML to predict and optimize landing page conversion rate? - Which advanced personalization technologies can you use to dynamically adjust landing page content based on user behavior and data? - What advanced analytics methods can you use to get deeper insights into user behavior and decision-making processes on landing pages? Join us for a free webinar by Speero and Nostra AI, Perfecting Ecommerce Landing Pages with Michael Aagaard , happening Wednesday, Oct 23, 2024, from 10 am to 11 am (CDT). The giveaway winner will be randomly selected the day after the webinar. Link for registration in the comments.

Maximizing conversions on your eCommerce landing page doesn't have to be a guessing game. Multivariate testing allows you to optimize complex elements simultaneously, while advanced personalization helps tailor the user experience in real-time based on behavior and data. With machine learning, you can predict your landing page's performance and boost conversions even more. Want to learn all of this and more? Join us for a free webinar by Speero and Nostra AI, Perfecting Ecommerce Landing Pages with Michael Aagaard, happening Wednesday, Oct 23, 2024, from 10 am to 11 am (CDT). Learn directly during a casual, panel-style Q&A about UX designs for maximum conversions and AI in eCommerce from Ben Labay, Rand Owens, and Michael Aagaard. Don’t miss out—check the link in the comments!

Controversial take: Running multiple tests at the same time is the least of all evils. There are much bigger evils on the table. Several factors make up your experimentation program's success: ➡️ The number of tests you run per year ➡️ The percentage (%) of tests you learn from (whether they win or lose) ➡️ The average impact per successful experiment If you try to isolate tests, you experiment with fewer changes at the same time. So you reduce testing velocity (reducing program’s succes). If you isolate traffic, you reduce your statistical power. So you end up with longer test (reducing program’s success) Here’s something even better: shipping isolated tests means you don’t know the interaction effect, so you end up with doing a third test so you can measure the interaction effect. Or you avoid testing at all. So you end up going blind. The worst of all evils. Interaction effects are rare. Even if they happen, you can still detect them. Which is a good thing. Because interaction effects bring more than they take.

By Ben Labay. "As a CEO, I can't emphasize enough the power of repetition. Telling my team, and myself, what Speero does, and for whom.... again and again and again. Leaders only lead because people follow. People follow when the path and destination is clear. I'm getting my team aligned yet again. On who we work for, why, and how we are different. This is what I just told my team to read, to align on: SPEERO'S VALUE AND DIFFERENTIATED POV: Building an AB test is easy. Speero builds and scales GROWTH EXPERIMENTATION PROGRAMS for marketing and product growth teams. > CRO Research, Design, Data projects for companies with $10mm+ ARR > Testing programs for companies with $50mm+ ARR Our differentiated POV statement: We believe that experimentation is a core operational model, a method of learning and growth that allows teams to ship fast with certainty, adapt to customer needs, and take ownership with accountability. Our mission statement: Operate with experimentation as a superior way to grow. Our promise: 5X your testing velocity and impact Tactically, this means we OPERATE differently than other agencies. > Explicit connections to product/brand strategy (priority problems to solve) > Financial model focused > Atomized research systems for actioning data > Artifact and Ritual systems to build a drumbeat of consistency and trust > Education-first: Training, Workshops, Wiki’s, knowledge base > Change Management consulting for implementing a Center-of-Excellence approach Because of our systems approach, our average Experimentation (XOS) program client retention is over 3 years. We develop partners in scaling experimentation as a growth model into and across orgs. Client stories to mirror and support the above: > Stewart Ehoff (RS Global head of exp.) will speak about these systems on stage at #EXLUNITE > Cédric Lorthiois (Decathlon CoE leader) and I spoke on stage about these systems for Decathlon at #UNITE conference in Paris Zig Ziglar: "Repetition is the mother of learning, the father of action, which makes it the architect of accomplishment."" By Ben Labay. In this week's Speero's best take of the week — where we celebrate and elevate the opinions and takes of experimentation experts

Which advanced personalization technologies can you use to dynamically adjust landing page content based on user behavior and data? What advanced analytics methods can you use to get deeper insights into user behavior and decision-making processes on landing pages? The costs of shipping and returns are going up: - How can you design landing pages to set realistic expectations and potentially reduce return rates? - What strategies can you use to present shipping costs in a way that doesn’t lower conversions? Nostra AI and Speero present: Perfecting Ecommerce Landing Pages with Michael Aagaard. Join Ben Labay, Rand Owens from Nostra AI, and Michael Aagaard for a casual, panel-style Q&A about UX designs for maximum conversions and AI in eCommerce. Happening on Wednesday, Oct 23, 2024, 10 am - 11 am (CDT). Link in the comments.