Atticus Li

I lead digital experimentation and user experience at a Fortune 150 energy company, where I’ve helped scale experimentation programs and drive measurable revenue impact across multiple brands. My work focuses on improving decision-making using data, behavioral science, and structured testing. Alongside this, I’m a SaaS founder building and launching products, which gives me a practical perspective on speed, constraints, and real-world tradeoffs. I understand both enterprise complexity and early-stage uncertainty. Most people come to me when they want clarity on what to build, test, or prioritize. Instead of generic growth advice, I focus on identifying the highest-leverage problems and designing experiments that reduce uncertainty and connect directly to revenue. I often work with founders, product leaders, and growth practitioners on: • Acquisition, activation, and retention strategy • Product-led growth and onboarding • Behavioral economics applied to UX and decision design • Experimentation strategy and prioritization • Growth analytics and measurement • Startup validation and early traction • Connecting growth work to business outcomes My style is structured and direct. I’ll ask questions to understand your goals and constraints, then we’ll focus on one or two actions you can test immediately. Most sessions end with a clear plan and next steps. If you’re looking for honest feedback, practical frameworks, and faster learning through experimentation, I’d be happy to help.

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  Artificial intelligence

  I’m a Growth x AI builder. As a founder, I use tools like Claude Code and Replit to rapidly prototype, validate, and launch SaaS products without a development team. I focus on practical AI for real outcomes, including automating marketing workflows, increasing experimentation velocity, and reducing execution costs. I help founders and growth teams apply AI to scale faster, avoid hype, and build systems that drive continuous revenue impact.

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  Replit

  2 years of experience

  I’m a power user of Replit for rapid product development and fast iteration as a solo founder. I use it to move from idea to MVP quickly, test real user behavior, and refine based on feedback. My workflow focuses on speed, structured experimentation, and cost control, including token management, model selection, and optimizing AI usage. I help founders build, validate, and launch without large engineering teams by prioritizing execution and learning velocity over perfection.

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  ChatGPT

  5 years of experience

  I was an early adopter of ChatGPT and began using it shortly after its public release in late 2022. I use it daily across product, growth, and experimentation. This includes research, structured problem-solving, rapid prototyping, and building AI-assisted decision systems. My focus is applying AI to increase learning velocity and reduce execution costs. I help founders and teams move beyond basic usage to design repeatable workflows that accelerate validation, iteration, and revenue.

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  Claude

  4 years of experience

  I began using Claude when it became publicly available and now use Claude and Claude Code daily as part of my workflow. This includes research, rapid prototyping, code generation, debugging, and building. I focus on structured prompting, context design, and cost-aware model usage to improve iteration speed and product quality. I also help teams integrate AI into real workflows, moving beyond experimentation into practical systems that accelerate learning, automation, and revenue impact.

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  Heap

  8 years of experience

  I’ve used Heap, now integrated into Contentsquare, to combine product analytics with behavioral and experience data. My work includes event-based tracking, retroactive analysis, funnel and cohort modeling, and identifying activation and retention drivers. I focus on connecting quantitative product data with qualitative experience insights like friction, rage clicks, and user struggle. This enables teams to design highe confidence experiments.

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  Optimizely

  8 years of experience

  I’ve used Optimizely across enterprise environments to design and scale high-impact experimentation programs tied directly to revenue. My work in CRO testing includes frequentist, bayesian, sequential, personalization, guardrail metrics, and full-funnel optimization across web, email, and product. I’ve led governance, prioritization, and stakeholder alignment to embed experimentation into decision-making and drive measurable business outcomes.

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  Unbounce

  4 years of experience

  I’ve used Unbounce extensively to design, test, and scale high-converting landing pages across paid acquisition and demand generation programs. My work includes hands-on page design, A/B testing, messaging and offer optimization, and conversion-focused UX. My focus is on aligning creative, behavioral psychology, and experimentation to drive measurable results.