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.
Most brand problems aren’t visible until they’re expensive. Here are the branding blind spots that quietly kill growth for technical founders and B2B startups.
Learn why many tech startups fail due to poor audience-product alignment and discover strategies to achieve product-market fit for success.
Choose a revenue model that aligns product, AI costs, and customer value – seven practical models that maximize startup margins and scale in 2026.
Learn how to rank in AI search results with Geographic and Answer Engine Optimization strategies tailored for AI-driven search results.
Quickly validate your product-market fit with five low-cost experiments that uncover real customer needs and preferences.
AI in marketing offers potential but often leads to wasted resources without clear goals and proper planning. Understand when and how to adopt AI effectively.
Learn how a product-led content strategy drives SaaS growth by aligning content with user needs and leveraging real-world success stories.
Explore how AI growth marketing systems streamline revenue generation by automating processes and enhancing data-driven decisions.
Blending AI into your marketing strategy isn’t about replacing creativity – it’s about making it more precise. Here’s the practical approach for tech-forward B2B brands.
Why vendors are pushing you to cloud ERP faster than you’re ready, and the AI readiness gap they’re leaving behind
Pricing transparency can be a huge make-or-break deal with customers. Here are some lessons that all AI startups should learn from…
Choosing the right tool to send emails and text messages is important and requires research before committing. The research, however, can take a lot of time, especially considering the number of ESPs currently competing in the market.
Learn how to perform hierarchical, moderated, multiple regression analysis in R with step-by-step code, interpretation, and visual examples.
Gut feel doesn’t scale. Here’s how data-driven pipeline management improves forecast accuracy, deal velocity, and rep accountability across a B2B sales org.
Explore how Vibe Marketing merges emotional storytelling with data insights to enhance B2B tech strategies and drive meaningful customer connections.
Compare three AI search visibility platforms – enterprise monitoring, SEO-integrated, and CDN-optimized mid-market options to find the right fit.
Who’s curious about how to create a data product and learn how profitable they can really be? If that’s you, then keep reading because today
Picture this: you’ve just launched your tech startup, and things are going great. You’re getting noticed by potential clients and people are keen to start
Have you heard about the incredible progress that Snowflake has made with integrating AI and large language models (LLMs) into its platform? Snowflake’s integration of
Wondering what the data analytics consulting rates are in western economies? Let me guess – you’ve got some data analytics skills, and you’re vibing on
Hierarchical models enhance growth forecasting accuracy by leveraging multi-level data, offering businesses a strategic edge in predicting revenue.
