Step $2$

Your manager is interested in the mobile app performance for Flood It$!$ for the month of March $2023.$ When you open the Google Analytics $4$ analytics dashboard, make sure you adjust the date filter in the upper right$-$hand corner to start on March $1,2023,$ and end on March $31,2023.$ Your manager has asked you to answer the following questions using data from the Google Analytics $4$ demo account.

$1.$ How many new users $($in thousands$)$ did the Flood It$!$ mobile app have in March $2023?(10$ PTS$)$

$2.$ How many new users were acquired through CPC $($cost per click$)$ in March $2023?$

$3.$How many returning users $($in thousands$)$ did the Flood It$!$ mobile app have in March $2023?(10$ PTS$)$

$4.$ How many post$-$score events occurred in March $2023?(10$ PTS$)$

$5.$ In minutes and seconds, what was the average engagement time? $(10$ PTS$)$

$6.$ Which event name had the highest count in March $2023?(10$ PTS$)$

$7$a$.$ What was the total revenue from conversions in March $2023?(5$ PTS$)$

$7$b$.$ What was the total revenue in March $2023?(5$ PTS$)$

$8.$ What was the average revenue per paying user in March $2023?(10$ PTS$)$

$9.$ Flood It$!$ uses first opens as a proxy for app installs. What was the first$\_$open event count in March $2023?(10$ PTS$)$

$10.$ Flood It$!$ uses an audience called $$Crashing Users$$ to track users that experienced an app crash. How many $$Crashing Users$$ were there in March $2023?(10$ PTS$)$