Optibase

Most A/B tests don't increase revenue. They just create noise. After working with 3000+ teams, we turned everything into a practical A/B testing blueprint on what actually moves revenue. Free access. No e-mail gate. Live on @ProductHunt: producthunt.com/products/a-b-t…

Analytics tell you what happened. User behavior helps explain why.

"We don't have enough traffic to run A/B tests." Reality: You don't need millions of visitors. You need meaningful hypotheses, patience, and enough data to reach reliable conclusions.

Every extra step in your funnel should have a reason to exist. If it doesn't help users make a decision... It's probably getting in their way.

A simple rule for website copy: If a first-time visitor needs to reread a sentence... Rewrite it.

The biggest conversion killers are unanswered questions. Every question a visitor has, but your page doesn't answer, is another reason to leave.

Ever come across an A/B testing term you weren't quite sure about? We've put together a glossary of the key concepts, from statistical significance to confidence intervals and beyond. optibase.io/ab-testing-glo…

@aether_uiux This is awesome

Guys!! How does it feel?

If you need five meetings to decide which version is better... you probably need an A/B test instead. Opinions can start a discussion but data ends them.

Most A/B tests fail because they start with a weak hypothesis, unclear success metrics or too many variables changing at once. In our latest article, we explore why the planning phase matters just as much as the experiment itself. x.com/i/article/2082…

what is your biggest ick when landing on a new website?

@mytwillot Sounds like an awesome project, good luck building!

@OptibaseIO Working on turning scattered Twitter bookmarks into a searchable knowledge base with AI classification so nothing gets lost. twillot.com/en

what are you building this week?

What's one website element you think companies consistently overcomplicate? • Navigation • Pricing pages • Homepages • Contact forms Let's hear it.

We've seen teams spend weeks redesigning a page... ...only to discover a headline change delivered a bigger lift. Don't assume bigger changes create bigger results. Test first.

More features don't automatically make a product more valuable. More clarity usually does.

Before launching an A/B test, ask yourself: Do we have a clear hypothesis? Are we measuring the right metric? Will we wait for enough data? If any answer is "no," don't launch yet.

The best CRO strategy is understanding why people hesitate to click in the first place.

Too many A/B tests fail before they even start. Usually because teams test the wrong things, stop experiments too early, or misread the results. We put together a complete guide to help you avoid those mistakes and run experiments with confidence. optibase.io/the-ultimate-g…

what did you build this week?

We spend a lot of time asking: "How do we get more traffic?" Sometimes the better question is: "Why aren't more of our current visitors converting?"