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.
Learn how to prioritize MQLs, SQLs, and PQLs effectively in your sales strategy to maximize conversions and optimize your lead management process.
Choose the right GTM consultant to diagnose ICP, messaging, and funnel breakdowns for technical startups before you scale.
What’s a realistic CAC for your startup right now? 2026 benchmarks broken down by industry vertical, acquisition channel, and company stage, plus LTV:CAC targets and payback periods that investors actually expect.
Agentic AI doesn’t eliminate manual GTM — fix data, workflows, and handoffs so the pipeline runs without founder hand‑holding.
Learn effective VoC feedback loop strategies for B2B tech companies to enhance customer satisfaction and drive product improvements.
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.
Brands must track citations, accuracy, and AI-driven referrals — visibility in LLMs now determines buyer consideration.
Octane AI promises personalized quiz and email flows at scale. Here’s an honest breakdown of what it actually delivers — and where it falls short for B2B teams.
Why AI needs a new JTBD: focus on delegation, trust, error limits, workflow compression, and clear boundaries to move pilots into production.
Explore diverse revenue models for marketplaces, from transaction fees to subscriptions, and learn how to maximize profitability without compromising user experience.
Seven vetted GTM consultants for tech startups — compare fractional CMOs, RevOps firms, mentorship platforms, growth agencies, and freelance options by stage and price.
Learn how to create custom attribution models in five steps to optimize marketing efforts and gain insights tailored to your business goals.
Learn how AI lead scoring enhances B2B marketing by prioritizing leads, improving conversions, and streamlining sales processes.
Learn how to optimize your Reddit posts for AI search engines and boost your visibility in AI-generated answers through authentic engagement.
Compare Fractional CMOs, GTM Engineers, and marketing agencies to see whether your startup needs strategic leadership, technical systems, or execution support.
Reputation can shift in a single news cycle. A product bug, a data security concern, or a misunderstood executive comment can escalate quickly across digital channels. Proactive media monitoring helps founders identify risks early and respond with clarity before negative publicity shapes the narrative.
A practical 8-step GTM playbook that turns IT services from referral-dependent to repeatable growth—define value, target segments, price, sell, and optimize.
Learn how to accurately interpret A/B test results by understanding statistical significance, sample size, and effective data analysis techniques.
Learn how a product-led content strategy drives SaaS growth by aligning content with user needs and leveraging real-world success stories.
Customer feedback loops are crucial for product-led growth, driving improvements and enhancing user satisfaction through actionable insights.
If you’re leading a technology company or business unit and if you’re eager to explore the forefront of AI-driven marketing strategies – or the use of AI agents in marketing – this is your roadmap.
