Education technology experiments including enrollment flows, course pages, and student engagement optimization.
Across 7 edtech experiments, 43% resulted in a statistically significant win. Winning variants saw an average lift of +12.7%.
4 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 edtech testing strategy and avoid repeating experiments that have already been run.
Context: How prices are displayed on the pricing page directly influences perceived value and willingness to buy.
Context: The information hierarchy on the landing-page may not match how users actually scan and process the content.
Context: Each additional form field adds friction to the landing page, increasing the chance users abandon before completing their submission.
Context: Visual elements on the landing page aren't doing enough to communicate value, build trust, or guide users toward the next step.
Problem: Users on the signup need validation from others before committing — without visible proof of success, they hesitate.
Problem: How prices are displayed on the pricing page directly influences perceived value and willingness to buy.
Problem: How prices are displayed on the pricing page directly influences perceived value and willingness to buy.
Save your own experiments, get AI-powered test ideas, and build on patterns from 7+ real tests.
View Plans & Pricing