The game and source data is attached as an image.

a$)$

a$\mathrm{.}1-$ Calculate the profitability ratio of games A$,$ B$,$ C$,$ D$,$ E in $180$ days LTV according to the attached data.

a$\mathrm{.}2-$ Considering that a fixed budget is spent every day, how many days are the daily and total breakeven points of the C game?

a$\mathrm{.}3-$ Based on the data given, what kind of comments can be made for games A$,$ B$,$ C$,$ D$,$ E$?$

b$)$

Evaluate Source performances based on data:

b$\mathrm{.}1-$ How would you change CPI targets and budgets by examining sources according to their profitability?

b$\mathrm{.}2-$ Which sources would you blacklist and why?

b$\mathrm{.}3-$ Can you evaluate the total profitability of Platform A$?$

Explanations $1$:

$*$ Networks: Partners that deliver our Ads.

$*$ ROAS: Return on Ad Spend $(\%$ of Revenue to Spend$)$

$*$ D$0$ ROAS: Return on Ad Spend of a specific group on the day they installed the app.

$*$ DX ROAS: Cumulative Return on Ad Spend of a specific group on X days after install. $($ex: We spend $100$ dollars on D$0,100$ users download the app on D$0,$ on day $7$ we earned $30$ dollars from them, D$7$ ROAS of that group is $30\%)$

$*$ CPI: Cost Per Install $($Total Spend$/$#Installs$)$

$*$ IPM: Install Per Mille Impression $(($#Install$/$#Impression$)$x$1000)$

$*$ CR: Conversion Rate $($#Installs$/$#Clicks$)$

$*$ CTR: Click Through Rate $($#Click$/$#Impression$)$

Explanations $2$:

$*$ DayX Retention: From a specific group of people who downloaded the app, the $\%$ of users who opened the app on the Xth day after they download the app. $($ex: $100$ people downloaded the app today, $40$ have opened the app. D$1$ Retention is $40\%$; on D$7,20$ have opened the app, D$7$ Retention is $20\%)$

$*$ ARPDAU: Average Revenue Per Daily Active User $($Total Daily Revenue$/$#Daily Active Users$)$

$*$ AdRev: Ad Revenue $($Revenue generated from Ads shown in the game$)$

$*$ IAP: In App Purchase

$*$ Rating: App Store or Play Store Rating