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.
Why seat-based plans fail for AI and how token, hybrid, and outcome models better align costs, protect margins, and capture real customer value.
Learn how TTS can support startups with more scalable customer services and the nuances involved in onboarding a new customer.
AI can do more than personalize subject lines. Here’s how to apply it across segmentation, send timing, and copy to measurably lift email performance.
Curious what is a GTM Engineer? Read this to learn how GTM Engineers design tracking, automation, and data pipelines to turn messy tool stacks into predictable, scalable revenue systems.
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Five RevOps firms to clean messy pipelines, fix attribution, and align CRM, integrations, and revenue ops for startups.
Running a lean marketing team in 2026 means automating the repetitive layer entirely. These 10 tools handle campaign scheduling, lead routing, content ops, and reporting, compared by depth of automation and what they replace.
Learn how to effectively adapt your SaaS value propositions for different global markets by understanding local needs and behaviors.
LLMs often misrepresent or ignore brands. Build consistent entity context—schema, terminology, proof, and citations—to improve AI visibility and accuracy.
Learn how to calculate the cost-to-revenue ratio to improve profitability and operational efficiency across various industries.
Customer feedback loops are crucial for product-led growth, driving improvements and enhancing user satisfaction through actionable insights.
Explore the 2026 MQL to SQL conversion rates across industries and learn effective strategies to improve your lead conversion success.
Compare HubSpot, Salesforce, and Clay MCP servers for GTM automation, enrichment, pricing, and governance.
Learn how to create an effective SaaS go-to-market strategy with a step-by-step framework that drives growth and solves customer problems.
Choose the right AI search visibility tools and learn which KPIs matter: mention rate, representation accuracy, citation share, share of voice, and drift.
Explore the top 10 AI marketing tools transforming business growth in 2026 with automation, personalization, and data-driven insights.
Decide whether a Fractional CMO or marketing agency fits your startup—strategy, execution, costs, and a hybrid model to improve ROI.
How CRO in 2026 uses AI, real-time personalization, and system-level experimentation to boost revenue and lower CPL.
Learn how to effectively benchmark your marketing channels, optimize your budget, and improve ROI with actionable insights and key metrics.
MCP servers replace manual reporting, unifying ad, analytics, CRM and revenue data for instant, actionable marketing decisions.
Unlock the potential of AI ROI forecasting through effective data integration, addressing challenges and leveraging modern tools for success.
