To determine the launch metrics for Target's new suggested items feature, we first need to establish the key performance indicators (KPIs) that we want to measure. These KPIs should be aligned with our overall business goals and objectives. Some possible KPIs for this feature could include: - Click-through rate (CTR) on suggested items - Conversion rate on suggested items - Average order value (AOV) on suggested items - Time spent on site/page with suggested items - Customer satisfaction with suggested items Once we have identified the KPIs to measure, we can set targets for each metric based on our desired outcomes. For example, we may want to achieve a 5% CTR on suggested items, a 10% conversion rate on suggested items, and a 15% increase in AOV with suggested items. To track these metrics, we will need to implement tracking and analytics tools, such as Google Analytics or Mixpanel. We can use these tools to monitor the performance of the suggested items feature and make adjustments as needed. In addition to these quantitative metrics, we should also gather qualitative feedback from users to understand their perceptions and experiences with the new feature. This can be done through user surveys, interviews, and usability testing. Overall, the launch metrics for Target's new suggested items feature should be designed to measure the impact of the feature on our business goals and objectives, as well as the satisfaction of our users.
Product Execution (metrics)