Free A/B testing course - The free framework for tests that actually move revenue

Hey Hunters, it's Luka from Optibase. We built Optibase after Google Optimize shut down in 2023. Two years and 3,000+ teams later, we keep seeing the same thing. Teams don't struggle with ideas. They struggle with process. No hypothesis. No idea how long to run the test. Results that "look good" but wouldn't survive a stats 101 exam. One team told us they'd been "A/B testing" for six months — turns out they were just changing headlines every Monday and checking Analytics on Friday. No control group. No sample size calc. No confidence threshold. They were basically flipping a coin and calling it data. That story isn't rare. It's the norm. So we took everything we've learned from working with teams like Memberstack (who turned small experiments into $500K in revenue) and PheedLoop (3.9% to 5.4% landing page conversion) and packaged it into 6 modules. What's inside: Module 1: What A/B testing actually is (and isn't) Module 2: What to test first for maximum impact Module 3: Turning research into real hypotheses Module 4: Sample sizes, duration, and not ruining your data Module 5: Reading results without fooling yourself Module 6: The mistakes that waste the most time and money It's free. No gate, no upsell, you don't even need Optibase — the frameworks work with any tool. We just think better testing makes the whole ecosystem better. Happy to answer anything about A/B testing or experimentation in the comments. – Luka