Lillian Pierson, P.E., fractional CMO and growth strategist, engineers marketing systems that drive predictable growth for tech startups. With a professional engineering license and 20 years of experience driving growth for Fortune 100 and early-stage companies alike, she bridges product and growth marketing to drive real boots-on-the-ground traction. She's trained 2M+ professionals in AI and data, grown organic channels to 750K+ followers, and authored 11 books including Data Science For Dummies. Lillian helps VC-backed and bootstrapped founders (pre-revenue to $6M ARR) scale through structured playbooks and data-driven systems.
Explore how AI enhances partner ecosystem growth through improved matching, collaboration, and performance tracking, driving faster revenue and efficiency.
Learn how to select effective cross-channel attribution tools that enhance marketing insights and optimize revenue tracking for B2B companies.
Learn how to rank in AI search results (LLMO) by optimizing your content via E-E-A-T principles, clarity, and understanding user intent for LLMO.
Explore the essentials of self-serve product-led growth, focusing on user onboarding, pricing strategies, and effective support systems.
How to choose a demand generation consultant for B2B startups: types, budgets, 30–90 day milestones, and measurement best practices.
Overview of 35 pre-built AI marketing agents by category—lifecycle, GTM, attribution, website, research, personalization, and orchestration.
Step-by-step top-down market sizing to calculate TAM, SAM and SOM with examples, scenarios, a template, and common pitfalls to avoid.
Learn how to effectively size your startup’s market potential using top-down analysis for better investor insights and growth strategies.
Step-by-step guide to mapping, automating, and scaling startup sales workflows—tools, metrics, and phased implementation to speed conversions.
Explore the power of predictive analytics in marketing with real-world use cases that enhance customer engagement and optimize ROI.
How much should a B2B SaaS company spend on marketing? 2026 benchmarks by company stage (pre-PMF to scaling), 3 ready-to-use allocation templates, and a bottom-up budgeting method. Data from 100+ companies.
GEO experts who win AI citations—entity-first content, RAG readiness, and metrics to track AI citation share.
Explore how AI lead scoring enhances sales and marketing collaboration, improves lead quality, and boosts conversion rates for better business outcomes.
Tech brands can build trust by prioritizing transparency, showcasing expertise, ensuring service quality, sharing customer success, and following ethical practices.
Unlock customer insights with B2B buyer interviews to optimize your marketing strategies and enhance product-market fit.
The freelancer vs. employee decision shapes your burn rate, culture, and execution velocity. Here’s the framework for making the right call at each growth stage.
Explore essential AI tools that enhance product marketing efficiency, from content creation to automation, and find what suits your needs best.
Build a lean AI marketing stack—pick 2–3 integrated tools that solve real bottlenecks and speed execution.
Learn how to choose the right AI marketing budget tools to streamline your financial management and optimize spending effectively.
MCP servers replace manual reporting, unifying ad, analytics, CRM and revenue data for instant, actionable marketing decisions.
Learn how to create an effective lead qualification framework to enhance sales efficiency and maximize conversion rates in B2B tech.
