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.
Magic Number fails for AI companies—usage-based costs, volatile margins and heavy inference expenses hide cash burn; the Burn Multiple reveals true capital efficiency.
2026 B2B SaaS benchmarks: CAC, payback, NRR, churn, growth rates and valuation multiples to optimize acquisition, retention, and investor outcomes.
How signal-driven GTM workflows and AI-enabled routing make speed-to-signal the decisive factor for inbound, outbound, and hybrid sales.
A three-bucket GTM scorecard—Production, Distribution, Conversion—that pinpoints the single constraint, assigns owners, and fixes pipeline issues before forecasts slip.
Build an AI lead scoring system in a weekend using 5–7 high-impact signals, lightweight AI enrichment, and automated routing, no data team required.
Framework to close the perceived value gap and boost adoption: align messaging, cut setup friction, speed time-to-first-value, and strengthen feedback loops.
Why vendors are pushing you to cloud ERP faster than you’re ready, and the AI readiness gap they’re leaving behind
Step-by-step guide to building a 2026 personalization stack: prioritize first‑party data, 8 core layers, tool selection, testing, and measurable ROI.
How Yosuke Yasuda built and sold Algoage in under two years – and what the pricing model behind it can teach you about how to scale without burning out.
Decide whether a Fractional CMO or marketing agency fits your startup—strategy, execution, costs, and a hybrid model to improve ROI.
How Mrinal Wadhwa spent 6 years solving the authentication problem for distributed systems, then pivoted to build the platform making long-horizon AI agents possible
What a law firm’s decade-long experiment with outcome-based pricing reveals about incentive alignment, AI adoption, and building businesses that actually serve their clients’ best interests.
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.
Stop misattributed Direct/Unknown traffic with a 15-minute weekly SegMetrics audit. One attriibution tool to fix UTMs, pixels, redirects, and CRM mapping to restore accurate attribution.
How Daphne Tay pivoted Bluente from language learning to enterprise translation by following customer pain instead of founder vision
Company vs person-level visitor ID, realistic match rates, top tools, compliance rules, and a 5-step workflow to turn anonymous website traffic into qualified leads.
Compare GTM technical execution for B2B tech: data-driven audits, HubSpot/CRM consolidation, and T2D3 SaaS playbooks to choose the right partner.
Turn intent signals into predictable pipeline with 10 repeatable GTM motions covering lead capture, multi-channel outreach, and CRM sync.
A practical 8-step GTM playbook that turns IT services from referral-dependent to repeatable growth—define value, target segments, price, sell, and optimize.
Measure pipeline coverage, win rates by vertical, and sales capacity utilization to boost sales velocity and reverse stagnating IT services growth.
