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 search drives high-converting B2B traffic but is largely undercounted – fix analytics first, then optimize page structure.
Log incorrect AI answers, trace their sources, fix site copy, schema, and third-party profiles, then recheck on a schedule.
Run repeatable AI prompt audits across platforms, score citations, and prioritize fixes by revenue to improve AI search visibility.
Governance-first checklist to evaluate AI marketing ops tools – workflows, RBAC, security, reporting, and a weighted vendor rubric.
Enterprise AI governance now protects 90% of the S&P 500’s value. See how Ander is building it, and what courts already ruled on AI liability.
Automate reports with a KPI tree, clean attribution, CRM ties, and human review so AI summaries drive actionable decisions.
Fix MOps and tracking before automating: clean routing, UTMs, and ownership prevent messy data and bad attribution.
GenAI in MOps: adoption, workflows automated, hours saved, and ROI – prioritize repeatable work for fast payback.
How small B2B teams run capture-enrich-route-execute-report with role-based governance and AI, without hiring large MOps teams.
Most enterprise sales advice assumes your buyer already understands what you sell.
Explore how real-time data revolutionizes market predictions, enabling businesses to respond swiftly and accurately to changing trends.
Explore the key B2B marketing ROI benchmarks for 2026, highlighting effective strategies, channel performance, and industry insights for measurable growth.
Breaks down usage, seat, credit, and outcome-based AI pricing models, their trade-offs, and how to combine models to match customer value.
Learn how to effectively size your startup’s market potential using top-down analysis for better investor insights and growth strategies.
Optimize your content for AI search ranking with these 5 essential strategies to enhance AI visibility and authority by 2026.
Explore the top 10 AI marketing tools transforming business growth in 2026 with automation, personalization, and data-driven insights.
Before committing to a data analyst path, here are five things worth considering – from ceiling constraints to the adjacent skills that compound better long-term.
Build an effective marketing tech stack for your startup with essential tools that enhance efficiency, automate tasks, and drive growth.
A three-bucket GTM scorecard – Production, Distribution, Conversion – that pinpoints the single constraint, assigns owners, and fixes pipeline issues before forecasts slip.
Last Monday I woke up convinced my co-founder Jonathan and I needed to de-risk.
Find your customer acquisition cost with our free CAC calculator. Input expenses and new customers to see your CAC and optimize marketing spend!
