Ko Samui, Surat Thani, Thailand
I help founders/CEOs of data & AI companies and B2B enterprise SaaS replace broken growth tactics with repeatable, traction-building GTM systems, so pipeline and conversions are no longer founder-dependent. Nearly 20 years ago, I was an engineer buried deep in technical systems and data models. I saw brilliant startups with game-changing ideas… break down. Not because the product wasn't great, but because their growth strategy was a guessing game. That's when I realized: the difference between a startup that survives and one that scales isn't just a better product → It's a predictable, repeatable growth system. Since then, I've… ● Helped 10% of the Fortune 100 innovate with data and AI ● Trained 2M+ professionals in AI-driven marketing and growth ● Guided startups from zero to scalable revenue, tripling inbound leads, driving 200x user growth in 1 month, and even driving 10,000+ MQLs organically for one VC-backed venture Along the way, I developed the Marketing Maturity Model → A 3-level framework that takes startups from validation to predictable scale: 1️⃣ Market Validation & Early Sales – Prove demand through real sales before investing in scalable marketing 2️⃣ Brand & Audience Growth – Build structured brand identity and inbound lead generation systems 3️⃣ Scalable Growth & Monetization – Deploy advanced nurturing, optimization, and revenue acceleration Today, as a Fractional CMO and Growth Partner for pre-revenue to $6M ARR tech startups. I embed into your team, move fast, and replace costly trial-and-error with data-driven strategies and AI agent-enabled execution that compounds over time. Because when your growth is systematic, you gain more than revenue → you regain control of your time, your focus, and your runway. 📍 If you're ready to scale without all the chaos: → Email me at [email protected] or visit my website: https://www.data-mania.com/ → Follow me on LinkedIn for free, practical, revenue-focused growth strategies → Subscribe to my weekly newsletters, from the featured section, for proven playbooks, AI-driven growth frameworks, and AI marketing strategies that are trusted by founders worldwide
I’m a Fractional CMO and growth advisor to high-growth tech startups. Within this role, I deliver actionable advice and custom-tailored strategies that drive growth in revenue, conversions, leads, and brand awareness. My primary responsibility is the development and management of overall marketing strategy, team / agency, budgets, and performance. To learn more about me and my services, you can visit my website here: https://www.data-mania.com/ Some of my earlier career achievements include: ✅ 20 years of strategic consulting experience with technology and engineering companies as large as the US Navy, National Geographic & Saudi Aramco ✅ Delivered B2B / B2B2C / D2C products & go-to-market (GTM) strategies for 10% of Fortune 100 companies - incl. Walmart, Microsoft, Huawei, Dell, Amazon, Intel, HSBC, Siemens, Wells Fargo, AT&T, Citi Group, Alibaba, SAP & Accenture ✅ Delivered machine learning (ML), AI, data & strategy products that have generated $6M, while also educating over ~2 million users on how to build ML models & train AI algorithms using Python ✅ Licensed Professional Engineer, certified product manager & Microsoft Regional Director award recipient (2019 - 2021) ✅ Featured in Forbes, Fortune, National Geographic, Washington Post, Christian Science Monitor & The Guardian among dozens of other publications
• Led cross-functional teams (>20 managers + contributors across marketing, data, tech & ops) to build, deliver & maintain data products, business products, research products & ML products that have generated $6M for my clients • Wrote & prioritized product requirements, proposing new product features, managing product roadmaps & 10+ data science contributors / managers to develop ML products that support B2B2C clients in training ~2 million learners • Utilized omni-channel analytics, KPI analysis, customer journey mapping & A/B testing to build GTM strategies for revenue & marketing optimizations that led 5 content creators / managers to grow our thought leadership communities to 700k members • Utilized Google Analytics (GA4), user behavior analytics & market research to develop SEO-driven marketing strategies that were implemented by dozens of contributors to grow our organic website traffic to 760k+ users • Published surveys, conducting voice-of-customer interviews, assessing product metrics & writing user stories to guide product strategies towards increasing relevance, usability & adoption, leading products to earn an avg. customer rating of 4.5 out of 5 • Defined GTM strategies for both live & simulated D2C product launches that were supported by a small part-time launch team to generate an avg. revenue of $70k/year without ads • Took a D2C data strategy product suite from concept to execution, wrote product requirements & user stories, then led a team of 3 business analysts to build the data & research products. Built the sales funnel, incl. upsells & cross-sells to increase CLV • Managed a D2C business product through its entire product life cycle to support brand-new bootstrapped tech founders with business & GTM strategies that earned them over $3.2M collectively • Gathered user feedback, writing user stories, building product roadmaps, writing development / UX design specifications & reference architectures for both in-house & customer-facing products
Each week, I break down what separates breakout B2B tech startups from the ones that stall for a community of 100K+ tech founders and operators. I also work directly with early-stage tech / data & AI companies as a fractional CMO and GTM enginee
I am a LinkedIn Learning Instructor of AI and data science since early 2016. My courses on LinkedIn have had a cumulative learner count of ~2 million students since they were first released. My courses include: 🆕 Build with AI: Vibe Coding a YouTube-to-Blog Pipeline Automation Tool with Windsurf 🆕 AI Data Strategy: Data Procurement and Storage 🆕 Python for Data Science and Machine Learning Essential Training Part 1 🆕 Python for Data Science and Machine Learning Essential Training Part 2 🆕 Building a Recommendation System with Python Machine Learning and AI 1️⃣ Python for Data Science Essential Training - Part 1 (version 1, 2) 2️⃣ Python for Data Science Essential Training - Part 2 (version 1, 2) 3️⃣ Building A Recommendation System with Python Machine Learning & AI 4️⃣ Insights on Data Science: Lillian Pierson 5️⃣ Python für die Datenanalyse 1: Grundlagen 6️⃣ Python für die Datenanalyse 2: Machine Learning 7️⃣ Python para Ciência de Dados: Formação Básica 8️⃣ Python for Data Science Essential Training 概览
𝐔𝐧𝐥𝐨𝐜𝐤 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐚𝐛𝐥𝐞 𝐛𝐨𝐭𝐭𝐨𝐦-𝐥𝐢𝐧𝐞 𝐠𝐫𝐨𝐰𝐭𝐡 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐀𝐈 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth. With over two decades of experience, Pierson unveils her proprietary STAR framework through which you'll learn to survey, take stock of, and assess your company's current state. Finally, you'll be guided on how to recommend strategies that drive growth via the execution of optimally positioned data- and AI- intensive projects or products that directly improve your business bottom line. From conception to execution, learn to: • 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 for data or AI interventions within your business. • 𝐀𝐬𝐬𝐞𝐬𝐬 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧'𝐬 𝐫𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬 and data literacy to ensure successful outcomes. • 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥, 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐭𝐚𝐜𝐭𝐢𝐜𝐬 𝐟𝐨𝐫 𝐨𝐯𝐞𝐫𝐬𝐞𝐞𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚-𝐢𝐧𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬, from strategic plans to profitable realities. • 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 that exceed your business goals. 𝐖𝐡𝐢𝐥𝐞 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞𝐬, 𝐦𝐚𝐧𝐚𝐠𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 𝐨𝐟 𝐝𝐚𝐭𝐚- 𝐨𝐫 𝐀𝐈-𝐢𝐧𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬, The Data & AI Imperative is also invaluable to data and technical professionals who aspire to elevate their impact by turning technical expertise into strategic leadership success.
I have been a data science and statistics author for Wiley since the title "Data Scientist" was first defined by Drew Conway back in 2012. Data science works I have produced for Wiley include: 🆕 Data & AI Strategies for Exponential Growth (coming in 2024) 🆕 Data Science Essentials For Dummies For Dummies 1️⃣ Data Science For Dummies, version 3 2️⃣ Data Science For Dummies, version 2 3️⃣ Data Science For Dummies, version 1 4️⃣ Back to Basics: Data Analysis (Barnes & Noble Special Edition) 5️⃣ Managing Big Data Workflows for Dummies (BMC Software Special Edition) 6️⃣ Data Science Para Leigos: Tradução da 2ª Edição 7️⃣ Data Science für Dummies 8️⃣ Data Science Para Leigos 9️⃣ Big Data / Hadoop for Dummies (Dell Canada Special Edition)