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.
AI isn’t replacing marketers – it’s making the strategic ones unstoppable. Here’s where AI is delivering real, measurable ROI in digital marketing right now.
The winning teams won’t treat AI visibility as a one-off project. They’ll treat it as an editorial OS. Here’s exactly how to show up in AI answers.
Why being a “value vampire” kills deals (and what to do instead)
Explore top GDPR-compliant alternatives to Google Analytics that prioritize user privacy and data ownership, ensuring compliance and actionable insights.
Five top consultants who help AI platforms and complex B2B SaaS translate technical features into clear positioning, shorten sales cycles, and boost conversions.
Are you ready to start monetizing some SERIOUSLY profitable new revenue models in your startup? Read up on powerful revenue model options — comes complete with real-life examples and clear explanations on how these models elevate a startup from struggling to a scalable and profitable.
Learn how to calculate the cost-to-revenue ratio to improve profitability and operational efficiency across various industries.
Using pirated books to train AI invites billion-dollar liability – data origin is now the industry’s biggest risk.
Optimizing for AI citations (GEO) is a different visibility game than SEO – structure, facts, and entities, not links, win.
A practical 8-step GTM playbook that turns IT services from referral-dependent to repeatable growth – define value, target segments, price, sell, and optimize.
Compare AI visibility trackers for B2B brands – features, setup, pricing, and which tool fits startups, small teams, or mid-market.
Explore dynamic pricing strategies for B2B tech companies, leveraging AI and market data to enhance profitability and customer satisfaction.
GTM engineering benchmarks and practical tactics to improve time-to-first-revenue, CAC payback, and pipeline velocity for B2B SaaS in 2026.
GEO experts who win AI citations – entity-first content, RAG readiness, and metrics to track AI citation share.
AI search now drives B2B SaaS discovery – optimize citations, structured content, and entity signals to boost share of voice and conversions.
Explore how generative AI tools can streamline website design, reducing costs by up to 70% and simplifying the process for businesses of all sizes.
Understanding which variables and algorithms drive MMM outputs is what separates a useful model from a black box. Here’s the technical breakdown, made readable.
Brands must track citations, accuracy, and AI-driven referrals – visibility in LLMs now determines buyer consideration.
If you’re running sales funnels on WordPress and not tracking conversion rates by step, you’re flying blind. Here’s how to set it up correctly in three steps.
Learn how to accurately interpret A/B test results by understanding statistical significance, sample size, and effective data analysis techniques.
Explore how AI is revolutionizing ROI forecasting with real-time insights, automation, and predictive analytics to enhance business decision-making.
