You are leaving money on the table because you are guessing
Every page on your site is a hypothesis. You chose that headline, that button color, that layout, and that call to action. But you do not actually know if they are the best options. A/B testing lets you find out by showing different versions to different visitors and measuring which one generates more leads, sales, or bookings.
The problem is knowing what to test. Not all changes are worth testing, and the wrong experiment wastes time without teaching you anything.
What this workflow suggests
The A/B Experiment Suggestion analyzes your page and recommends specific, high-impact tests:
- Headline variations that test different value propositions or urgency angles
- Call-to-action tests that compare different button text, placement, and design
- Layout experiments that test content order, image placement, and form positioning
- Social proof tests that measure the impact of reviews, testimonials, and trust badges
Each suggestion includes a hypothesis, expected impact, and implementation guidance. Three credits per analysis. Far cheaper than hiring a conversion rate optimization consultant.
Why small changes matter
Improving your conversion rate from 2% to 3% means 50% more customers from the same traffic. No additional marketing spend. No more content. Just a better-performing page. Over a year, that kind of improvement can represent thousands or tens of thousands of dollars in additional revenue.