A/B Testing

This tag covers practical A/B testing strategies to support data-driven decision making across product, marketing, and growth initiatives. Learn how top operators and strategists design experiments, avoid common pitfalls, and extract insights that lead to scalable results. Whether you’re optimizing funnels or validating new features, this tag helps you test smarter and move faster.

COO Ops & Systems | Growth Strategy (B2B & B2C)

The Ultimate Growth Experimentation Framework
ByRichard Naimy July 31, 2025April 12, 2026

While many teams treat experimentation as a marketing function or a growth tactic, high-performing organizations embed it deeper into their decision-making, team rituals, and operational structure.

This mindset shift is what separates teams that sporadically A/B test from those that systematically learn. In these environments, experiments are not side projects. They are how strategy gets tested, refined, and scaled. From onboarding flows to ad creative to pricing pages, everything is a hypothesis until proven. The goal isn’t just optimization. It is compounding insight velocity.

Experimentation is not a tactic. It is a system. The most successful teams do not just run experiments. They operate inside them.

Read More The Ultimate Growth Experimentation Framework
Growth Strategy (B2B & B2C)

The Best B2B vs B2C Testing Strategies for 2025
ByRichard Naimy July 29, 2025April 12, 2026

Most companies aren’t running too few experiments — they’re running the wrong ones. In this strategic deep dive, you’ll learn the Growth Lab Approach: a proven framework for B2B and B2C growth experimentation that actually works. From ICE-R scoring to 70-20-10 test portfolios, this guide breaks down how to design smarter experiments, accelerate learning velocity, and drive measurable growth. Whether you’re optimizing enterprise funnels or scaling a consumer app, this is your playbook for high-leverage experimentation that compounds over time.

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Growth Strategy (B2B & B2C) | My Case Studies

MyEListing Growth Experimentation Case Study: Driving Real Results
ByRichard Naimy May 16, 2025April 12, 2026

I led the transformation of MyEListing’s growth strategy from scattered testing to a systematic experimentation discipline. By embedding ICE-R scoring, 70-20-10 portfolio balance, and a culture of safe-to-fail learning, I built the systems, trained the team, and created leadership alignment that delivered measurable results: 83% traffic growth, 47% higher conversion, 22% stronger retention, and 133% marketing ROI.

Read More MyEListing Growth Experimentation Case Study: Driving Real Results