Just Released: The Conversion Gap! Our latest research shows why even top brands fail to convert.

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A/B/n Testing

A/B/n testing allows teams to test several ideas simultaneously instead of running multiple separate A/B tests. For example, an e-commerce company might test three different product page designs—one with a larger image, one with a shorter description, and one with more reviews—to see which performs best.

This approach saves time since all versions are tested under the same conditions. However, it requires larger sample sizes to achieve meaningful results.