Blog posts, articles, and content page experiments including CTAs, lead capture, and engagement.
Across 3 content page experiments, 33% resulted in a statistically significant win.
2 experiments were inconclusive, meaning the difference between control and variant was not statistically significant. Inconclusive results are still valuable — they tell you what doesn't move the needle, so you can focus testing effort elsewhere.
These results come from real A/B tests with sample sizes ranging from hundreds to millions of visitors. Use them to inform your own content page testing strategy and avoid repeating experiments that have already been run.
Context: Key actions on the content page disappear as users scroll, creating a gap between intent and the ability to act.
Context: Form input design on the content page affects completion rates — label placement, validation timing, and field clarity all matter.
Problem: How "Maybe later" is implemented on the content page can meaningfully affect conversion — this element is worth testing.
Save your own experiments, get AI-powered test ideas, and build on patterns from 3+ real tests.
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