Your goal is to drive more conversions. How should you approach evaluating video action campaign performance?
- You’d compare your CPA to that of brand Search performance and allow one to three days to achieve desired CPA performance before making adjustments.
- You’d compare your CPA to that of brand Search performance and allow three to seven days to achieve desired CPA performance before making adjustments.
- You’d compare your CPA to that of non-brand Search performance and allow one to three days to achieve desired CPA performance before making adjustments.
- You’d compare your CPA to that of non-brand Search performance and allow three to seven days to achieve desired CPA performance before making adjustments.
Explanation:
The correct answer is **You’d compare your CPA to that of non-brand Search performance and allow three to seven days to achieve desired CPA performance before making adjustments**. When evaluating the performance of a video action campaign aimed at driving more conversions, it’s crucial to compare the cost-per-acquisition (CPA) with that of non-brand Search performance. Non-brand Search performance offers a relevant benchmark for assessing the efficiency of the campaign in acquiring conversions. Allowing three to seven days to achieve the desired CPA performance before making adjustments is essential because it provides sufficient time to gather significant data and assess the campaign’s effectiveness accurately. Rushing to make adjustments too soon may lead to premature conclusions and potentially overlook optimizations that could enhance campaign performance over time. Additionally, by comparing performance metrics to non-brand Search, which typically targets users actively seeking information or solutions, advertisers can gauge the campaign’s effectiveness in reaching and converting audiences who may not be familiar with the brand but exhibit intent similar to search users. This approach ensures a more informed evaluation of the campaign’s impact on driving conversions and enables advertisers to make data-driven decisions to optimize performance effectively.