Question: Rachelle is new to conversion rate optimization but is eager to get started. Which of the following steps should be her first priority?
- Using data and user feedback to identify areas of opportunity
- Implementing an A/B test on the homepage
- Speaking to the developer team about implementing changes
- Creating a hypothesis to test based on her preferences
Explanation
Effective conversion rate optimization (CRO) starts with diagnosis before experimentation. Quantitative data shows where users drop off, while feedback helps explain why friction may be happening. This prevents teams from testing changes based only on preference or assumptions. Prioritizing opportunities first makes later A/B testing more targeted and more likely to improve conversion rate.
Why the other options are incorrect
A/B test on the homepage starts experimentation before identifying the highest-value opportunity.
Developer team changes should come after the problem area and test priority are clear.
Preference-based hypothesis relies on opinion instead of user behavior and evidence.
Source for verification
https://support.google.com/google-ads/answer/2404198
https://support.google.com/google-ads/answer/6332958
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