Every card below is a finding from 2.4 million experiments run on the Variant platform. Cite-worthy, reproducible, peer-reviewed by your conversion data.
Changing CTA color alone moves conversion 0.3%. Changing CTA copy moves it 2.7%. The variable your VP wants to debate is the wrong one.
Only 14.3% of A/B tests produce statistically significant results. The other 85.7% are noise. Running more tests isn't the answer — running better ones is.
You need 5,000 unique visitors per variation and 100 conversions per objective before your data means anything. Most tests stop 10× too early.
Landing page A/B testing increases conversions by 12% at median. The top quartile delivers 28–45% lift when the test changes value proposition framing, not just aesthetics.
Companies spend $92 on getting new customers for every $1 spent on converting them. You're filling a bucket with a hole in it.
Landing pages without a navigation menu increased conversion rates by 336%. Every link you give users is an exit ramp off your funnel.
Surfacing accepted payment methods at checkout entry — not just on the payment step — increases completion by 8–19%. Payment anxiety kills conversions silently.
Companies running 8+ experiments per month see 40% annual CVR improvement. Experimentation compounds — each test makes the next one smarter.
Progress indicators on multi-step checkout flows improve completion by 11–25%. Users abandon when they don't know how much is left. Tell them.
The most common mistake in A/B testing is stopping when the numbers look good. Variant uses sequential testing with pre-registered stopping rules — so you only call a winner when the data actually supports it. Not when your stakeholders get impatient.
Anonymized results from Variant customers. Methodology available on request.