Targeting og a/b-testing

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Targeting in marketing involves identifying and selecting specific audience segments based on demographics, behaviors, or preferences to optimize message relevance and campaign effectiveness. A/B testing is employed within these targeted segments to empirically compare variations of marketing elements—such as ad creatives, messaging, or offers—to determine which version resonates best with that particular audience. The WHY is that targeting defines the precise group whose response you want to optimize, while A/B testing provides the HOW by delivering data-driven insights on what works best for that group. Practically, without well-defined targeting, A/B tests may yield diluted or misleading results because the audience is too heterogeneous. Conversely, targeting alone lacks empirical validation without A/B testing to refine and confirm which tactics maximize engagement or conversions within the chosen segment. Together, targeting narrows the scope to relevant users, and A/B testing iteratively improves the marketing approach within that scope, enabling more efficient allocation of budget and higher ROI in digital campaigns.

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