A/B Testing
Definition
A/B testing means comparing two versions of the same page, email, or ad to find out which one performs better. In practice, you split your traffic 50/50 between version A and version B, then measure the results (clicks, sign-ups, purchases). An e-commerce SMB could test two different product page headlines and see a 20% lift in conversions within days.
Why it matters for your business
Without A/B testing, your marketing decisions rely on gut feeling. With it, every euro you invest is optimized by data. For an SMB, that means less wasted budget and continuous, measurable improvements to revenue.
How we use A/B Testing at GrowthPerf
We integrate A/B testing into every consulting engagement: auditing key pages, setting up testing tools, and analyzing results to prioritize high-impact optimizations. Our 10+ years of digital marketing experience allow us to quickly identify the most profitable hypotheses to test.
Related terms
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