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.
LLMs often misrepresent or ignore brands. Build consistent entity context—schema, terminology, proof, and citations—to improve AI visibility and accuracy.
Practical 2026 B2B marketing budget benchmarks, allocation templates, and a bottom-up budgeting method to align spend with revenue, CAC, and LTV.
Compare five platform types—marketplaces, commerce, clean rooms, embedded analytics, and infrastructure—and learn practical criteria to choose and evaluate them.
Compare Fractional CMOs, GTM Engineers, and marketing agencies to see whether your startup needs strategic leadership, technical systems, or execution support.
How a Fractional CMO uses GTM Engineering to build automated, repeatable revenue systems—strategy, instrumentation, and a 30-60-90 plan for startups.
Why being a “value vampire” kills deals (and what to do instead)
Step-by-step MQL-to-SQL checklist: define ICP, use BANT/CHAMP, build lead scoring, use intent data, and automate CRM handoffs to boost conversions.
Plan, secure, build, and deploy CRM API integrations with data mapping, OAuth 2.0, webhooks, error handling, and monitoring for scalable results.
Using pirated books to train AI invites billion-dollar liability — data origin is now the industry’s biggest risk.
Compare pure consumption, prepaid credits, and hybrid subscription-plus-overage PAYG models — pros, cons, cost predictability and implementation trade-offs.
What I learned from the founder who built a 25-person pricing firm entirely on word of mouth.
How SaaS teams calculate and use CLV segmentation to reduce churn, optimize pricing, and target high-value customers with cohort and predictive methods.
Step-by-step guide for startups to implement AI website personalization—data sources, tools, testing, privacy, and scaling strategies to boost conversions.
Why the best AI search visibility tool shows you WHO you’re cited with, not just IF you’re cited.
How a licensed P.E. accidentally became the thing she thought was a fad
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.
Explore the power of predictive analytics in marketing with real-world use cases that enhance customer engagement and optimize ROI.
Explore how AI growth marketing systems streamline revenue generation by automating processes and enhancing data-driven decisions.
Hierarchical models enhance growth forecasting accuracy by leveraging multi-level data, offering businesses a strategic edge in predicting revenue.
Explore nine top AI marketing educators who simplify AI for marketers, offering practical courses to enhance skills and drive business growth in 2026.
Every company believes it understands its brand. Yet even the most successful businesses have gaps between how they see themselves and how customers see them.
