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Experimentation Live 2025 (by Speero and Eppo) is ON. October 21-22, Austin, TX. Early bird 25% off → Code: EARLYBIRD25 (until July 31 or first 50 sign-ups). This year, we’re bringing together both sides of the experimentation game: - Growth: For marketers, PMs & metric owners driving real business impact through testing. - Platform: For ops, enablement & data/tooling experts who build the systems that make it all possible. But EXL isn’t about who’s on stage—it’s about who you meet: - Keynotes that don’t drag on. - Small-group roundtables (5-10 people) solving real challenges. - Dinners, drinks & networking that lasts way past conference hours. Expect to connect with folks from Netflix, Disney Streaming, Coinbase, ESPN, Hulu, Amex, Ancestry, Lowe’s & more. Consultants—bring a client, and get a bigger discount. Email [email protected] for details. 25% off now → enter: EARLYBIRD25 Experimentation Live 2025, by Speero and Eppo. See you in Austin.

Here’s why the product operating model is more narrow in its impact on culture and learning than experimentation-led growth: Experimentation-led growth creates unified learning systems across departments. Insights from marketing tests, operational pilots, or customer service experiments can inform product decisions and vice versa. The product operating model, while iterative and agile, has learning cycles confined to the product development lifecycle, with less integration of insights from other functions. Experimentation-led growth needs a company-wide cultural shift toward curiosity, risk-taking, and trust in data-driven decision-making. It fosters collaboration across silos and encourages all employees to think scientifically, regardless of their function. The product operating model promotes a product mindset but is typically more functional in scope, focusing on the teams involved in product lifecycle management rather than the entire organization.

Experimentation as a growth framework is broader and more encompassing than a product operating model. Why? Because it transcends product development and serves as a holistic operating system for the entire business: 1. Experimentation-Led Growth (ELG): Encompasses all areas of an organization—product, marketing, operations, customer support, pricing, HR, and more. It embeds a testing mindset into every decision-making process, ensuring the entire company operates with a culture of learning and adaptation. 2. Product Operating Model: Focuses primarily on product development and delivery, with a scope limited to features, user experience, and product-market fit. While customer-centric, its reach is narrower. Also, experimentation-Led growth acts as an overarching decision-making framework. For example: - Testing new business models or market entry strategies. - Experimenting with operational processes, such as supply chain optimizations or internal workflows. - Iterating on HR policies or talent acquisition strategies. Product Operating Model, on the other hand, primarily addresses decisions about creating and managing products but rarely extends to broader organizational strategy.

Experimentation Live 2025 is coming on Oct 21-22. We remain true to our roundtable format: Short but actionable keynotes, no pitching, limited capacity, and lots and lots of roundtable discussions (5-10 people max). Look at the pic to see what Devin Reed says about EXL and Wynter's conference, both done in the same format. Events are about who you meet, not who gives a keynote. For this to happen we designed EXL 25 in a focused-networking format: - Lots of time to hang out between keynotes (which aren’t boringly long). - Roundtable discussions about shared problems (5-10 people) with your peers. - Dinner, games, drinks, and making connections until midnight (or so the story goes). Grab a 25% off early bird coupon — 'EARLYBIRD25'. Consultants who bring a client get a bigger discount can contact Speero’s CEO ([email protected]) for more info. The coupon is available through July 31st or the first 50 used, whichever comes first. Experimentation Live 2025, by Speero and Eppo.

The client’s navigation was confusing to their website visitors. A/B testing wasn’t possible. Speero tree tested their way to a better navigation and increased average task success rate by +164%. — Insight Stage: The client is a B2B company in the Healthcare sector. Their navigation was confusing their website visitors. Users had trouble understanding navbar categories. AB testing was not possible due to technical limitations. Speero developed new main navigation and decided to validate proposed changes with tree testing. — Test Plan Stage: We had two objectives: 1. Assess the extent to which the proposed navigation meets user expectations and provides intuitive user experience. 2. Compare the proposed navigation against the control. — Scorecard Stage: Avg. task success rate improved by +164%. Average Task Success:? Control - 2.2 Variation - 5.8 Recommendation: Implement.

What if the key to winning in business wasn’t having the best ideas—but testing them faster than anyone else? How can you make smart, decisive moves—without drowning in complexity or losing sight of your goals? How can you scale this across teams and turn it into an all-encompassing approach? The answer—an operational model centered on experimentation: Experimentation-Led Growth (ELG). ELG is about embedding structured, scientific experimentation into your company’s decision-making foundations. It’s a shift from: - Gut-feel decisions → Data-driven insights. - One-off testing/optimization → Scalable, repeatable processes. - Channel-focused optimizations → Holistic, company-wide learning. But ELG isn’t just about A/B testing or conversion rate tweaks. It’s about building a culture and operational framework that empowers teams to:?? - Test.?? - Learn.?? - Adapt.?? - Fast. Across every facet of your business. Velocity can be a #1 metric for any growth program. Stable environments reward caution and optimization. Volatile ones demand adaptability and speed.?

Original post by Alun Lucas: "The average conversion rate of a Shopify checkout is 48%. That's the conclusion from recently published Enavi data (link to the research below). So why do people drop out of Shopify checkouts? Here's a laundry list of some of the common things we've seen when looking at Zuko Analytics data & other sources. ?? Unexpected shipping charges ?? Coupon code field causing people to go on a discount hunt and never come back ?? Lack of the customer's preferred payment option ?? Unnecessary form fields causing confusion ?? No address lookup ?? Slow site loads If you want to get behavioural data on exactly why people are abandoning your checkout, Zuko has launched a free Shopify app that does just that. You can check it out here ?? https://lnkd.in/eJEFBDyD What other things have you seen cause customers to abandon checkouts? Let me know in the comments. You can source the Enavi research here ?? https://lnkd.in/eJYDMSRA ?? I’m Alun - MD of Zuko Analytics, the most in-depth form analytics software out there and we’ve now added a session replay feature to swiftly give UX insights. I post mainly about form UX and optimization so follow me or click the ?? on my profile to make sure you don’t miss anything. To test out Zuko, head to our website for a free trial or demo." Original post and image by Alun Lucas. In this week's Speero's best take of the week: when we celebrate the best takes and opinions from our fellow experimentation experts.

Do you find yourself in a rut or you’re just iterating yourself into a corner? Are you at the local maximum? Have you squeezed all the juice that's gonna come out of your lemon? Speero’s Solution Spectrum Blueprint? helps you manage one or more in-house experimentation programs effectively and overcome these hurdles. Solution Spectrum lets you think about ways to be more disruptive in your tests. It lets you tag your tests as: ?? (1) — Iterative ?? (2) — Substantial ?? (3) — Disruptive Some tests are truly disruptive to a brand, behavior, or product. For example, you’re quite disruptive when you begin to market on a whole new channel. When you tag tests, you develop a language with yourself and your team. You’ll see the difference between tests and where they are leading you. “Hey, we have done 20 tests. 18 were iterative. We have to make bigger swings.” During good times, it’s nice to just iterate, but when you’re in a rough patch you have to shake up the globe. Get a lot more disruptive in what you're doing. Experiment with new products or new pricing. Big experiments equal big business.

Here’s how Speero helped Tipalti improve their experimentation program and learn testing fundamentals, all while Tipalti was chasing new growth and testing initiatives. Tipalti is a lean startup. It’s considered a unicorn. This means Tipalti doesn’t always move with set-in-stone workflows or procedures. Tipalti’s growth team is constantly pivoting and finding new ways to grow. One small way in which we (Speero) helped here is by being flexible. Speero helped Tipalti along every step of the way, helping them grow and support new testing initiatives. We were quick to respond and help whenever. This helped us build trust: one of the most vital parts when you’re working as an experimentation agency. Another vital ingredient we brought to the table was learning opportunities from Speero’s conferences like Experimentation Live and courses/degrees from our sister company CXL Institute. Both helped Tipalti understand and appreciate more the fundamentals of testing, learning, and research. The best experimentation programs have education in their mix. Speero helped Tipalti pull that lever as well. “I think the sky's been the limit. There's nothing we haven't asked for Speero hasn't tried to give, help, or support us.” – Stacy Pinkerton, Tipalti

While Experimentation-led Growth lets you approach growth in a structured, scientific way, it's not without problems like over-focus on tactics or siloed effort. Here’s how you can avoid them: 1. Tactics over strategy: Too often, teams fall into the trap of testing for testing's sake—running random experiments with no strategic tie-in. Avoid this by always asking: "What strategic problem are we solving?" Use workshops like Goal Tree Maps to find these answers. 2. Siloed efforts: Experiments run in isolation can lead to inconsistent results and missed opportunities. Break down silos by fostering collaboration across teams and sharing learnings organization-wide. Create a centralized knowledge base or regular "test readouts” for instance. 3. Data trust issues: Poor data quality or lack of transparency undermines trust in experimentation. Invest in robust data infrastructure and clear reporting to ensure results are credible. Lastly, watch out for the lack of accountability. Without clear ownership, experiments can falter. Assign accountability for running tests, synthesizing learnings, and driving action.