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.
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.
Step-by-step guide to building a 2026 personalization stack: prioritize first‑party data, 8 core layers, tool selection, testing, and measurable ROI.
Decide whether a Fractional CMO or marketing agency fits your startup—strategy, execution, costs, and a hybrid model to improve ROI.
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.
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.
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.
What an interim CMO does, when to hire one, typical costs, and a practical 30/60/90 day plan to stabilize marketing and prepare a successor.
Build a data-to-decisions AI personalization system: unify first-party data, modularize content, enforce privacy, and scale from rules to generative AI.
Brands must track citations, accuracy, and AI-driven referrals — visibility in LLMs now determines buyer consideration.
Step-by-step top-down market sizing to calculate TAM, SAM and SOM with examples, scenarios, a template, and common pitfalls to avoid.
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.
