In this episode of The Lucky Orange Show, I sit down with Lisa Oberst, Founder of Womads and former Director of Retention at Fuel Made, to explore how purpose, performance, and product design come together to build a comfort-first, mission-driven brand.We talk about what inspired Lisa to leave agency life for entrepreneurship, how her data-driven marketing background fuels smart product decisions, and how Womads is empowering women—both customers and Colombian makers—with every step.What you’ll learn in this episode:→ How Lisa turned retention insights into a physical product brand→ Why Womads is solving for freedom, comfort, and movement→ How Lisa uses tools like Prediko and Shopify to stay lean but strategic→ What it looks like to grow slowly, intentionally—and still make an impact→ How customer data and feedback drive product development→ The mission behind Womads’ giving model and sourcing practices→ What it means to scale with both purpose and precisionAbout Womads:Womads makes handcrafted leather shoes and accessories for women who live on the move. Designed for comfort, built with purpose, and handmade in Colombia using sustainable materials.Learn more about Womads: https://www.womads.com/Connect with Lisa: https://www.linkedin.com/in/lisaoberst/Connect with Sean: https://www.linkedin.com/in/seanmccarthy3/Try Lucky Orange: https://www.luckyorange.com/#womads #d2cbrand #womensshoes #ecommercefounder #sustainablefashion #luckyorange

In this episode of The Lucky Orange Show, I sit down with Andrew Lipp, Co-Founder & CEO of EQL, to explore how fairness, data, and fandom collide in the world of high-stakes product launches.We talk about the frustration that sparked EQL’s creation, why “Run Fair” is more than just bot-blocking, how fairness data shapes future brand decisions, and where launch analytics can turn one-off hype into long-term customer loyalty.What you’ll learn in this episode:- The moment Andrew realized the launch system had to change- Why EQL’s “Run Fair” is really a powerful data engine- Signals to watch during the chaos of a drop- How fan sentiment and social commentary influence brand strategy- The types of data EQL leaves out—and why- How launch insights fit into broader enterprise data workflows- Where brands can turn hype-driven drops into lasting relationshipsAbout EQLEQL powers fair, data-driven product launches for the world’s biggest brands—from Tiffany’s and Travis Scott to Labubu, Crocs, and Major League Baseball.Learn more about EQL: https://www.eql.com/Connect with Andrew: https://www.linkedin.com/in/andrewlipp/Connect with Sean: https://www.linkedin.com/in/seanmccarthy3/Try Lucky Orange: https://www.luckyorange.com/#eql #productlaunch #ecommerce #dataanalytics #fairdrops #luckyorange

In this episode of The Lucky Orange Show, I sit down with Austin Goldman, Co-Founder & CEO of Shoplift.ai, to explore how AI is changing the way brands approach testing, personalization, and growth on Shopify.We talk about why so many ecommerce teams still rely on gut feel despite mountains of data, how Shoplift helps stores iterate faster and take the guesswork out of optimization, and what the future looks like when AI handles more of the heavy lifting in experimentation and personalization.What you’ll learn in this episode:Why gut instinct still dominates ecommerce decision-making (and how to change that)How Shoplift.ai reduces the complexity of testing and speeds up iterationWhere past testing data fits into smarter optimization strategiesThe role of AI in personalization and segmentation for online shoppersA look at LiftAssist and how it informs usability improvementsThe sliding scale of human vs. tech in optimization — and where humans remain essentialAbout Shoplift.aiShoplift is an AI-powered optimization platform for Shopify merchants that makes it easier to test, personalize, and grow without the complexity of traditional A/B testing tools.Learn more about Shoplift: https://www.shoplift.ai/Connect with Austin: https://www.linkedin.com/in/austingoldman/Connect with Sean: https://www.linkedin.com/in/seanmccarthy3/Try Lucky Orange: https://bit.ly/3AUd7Z2