A/B testing is a powerful method for testing design variants, but it's also expensive. Each test costs time, traffic, and development resources. Adding to the frustration, only one out of seven A/B tests generates any meaningful uplift in the first place. This means there's always a considerable risk that the test variants will underperform, cost immediate revenue and eat up time and money. Almost all conversion teams feel the strain of limited resources in one way or another.