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Facebook Split Testing, also known as A/B testing, is a method of comparing different versions of an ad campaign to determine which performs best. Advertisers can test variables like audience targeting, ad creatives, placements, or optimization strategies by dividing the audience into separate groups.
The results help identify the most effective combination of elements, enabling advertisers to make data-driven decisions and improve future campaign performance.
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