You’re running an email promotion providing a discount to users with a birthday in the month of September. What metrics and dimensions should you include in a custom report to determine the day and time when users are most likely to complete a purchase?

The correct answer is Day of Week, Hour, Ecommerce Conversion Rate, Sessions. To determine the best time for purchases, you need to analyze both the day and hour. "Day of Week" and "Hour" provide this temporal breakdown. "Ecommerce Conversion Rate" directly measures the likelihood of purchase, while "Sessions" provides context on traffic volume. "Users, Time, Day" is too broad; "Time" isn't a standard Google Analytics dimension for this level of granularity. "Day Index, Hour, Sessions" lacks a conversion metric to assess purchase likelihood. "Hour of Day, Sessions, Transactions" is better but "Transactions" alone doesn't normalize for traffic, making "Ecommerce Conversion Rate" a more effective metric for comparing purchase likelihood across different times.