Which of the following would best improve campaign performance?

Optimizing based on A/B testing results is the most effective way to improve campaign performance because it allows marketers to make data-driven decisions based on actual user behavior. A/B testing involves comparing two versions of an ad, landing page, or other marketing materials to see which one performs better in terms of key metrics such as click-through rates, conversions, or engagement. By systematically testing variations and analyzing the results, marketers can identify what resonates best with their audience and refine their campaigns accordingly. This method reduces guesswork and leads to more effective strategies, ultimately enhancing campaign outcomes and maximizing return on investment.

In contrast, merely increasing the number of ads shown to users does not guarantee better performance; it may lead to ad fatigue or annoyance. Focusing on a single promotional offer might simplify the message but limits the potential to cater to different segments of the audience. Lastly, limiting targeting to a small audience can restrict the reach and potential insights that come from a broader audience engagement, reducing overall effectiveness. Thus, A/B testing stands out as a comprehensive approach that fosters ongoing optimization and improvement.