💎 Growth Gems #31 - Gems from "How to Boost your ASO with Data Analytics"
Hi there,
Today's gems are mined ⛏️ from a GameCamp webinar by Marek Pasieczny (ASO specialist at Gamesture).
💎 #1
The Pearson correlation coefficient formula looks heavy but can allow you to calculate the correlation between your Similar Apps traffic and UA with a fairly simple spreadsheet: 6 columns and 3 formulas.
💎 #2
Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can remove outliers.
💎 #3
If your correlation coefficient between UA and Similar Apps traffic is high, it means that if you increase your UA budget you can expect an increase in Similar Apps traffic.
💎 #4
It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example here.
💎 #5
Calculate the correlation coefficient between UA and organic in your different markets and invest where it is higher to boost organic uplift. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.
💎 #6
Test displaying a promo code (e.g. free code for a sword) on the first screenshot of your Google Play Store listing for increased store conversion rate and in-game performance.
💎 #7
Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.
💎 #8
Using Google Play Store's data (old console or new console), you can identify high-converting keywords and leverage this to optimize your creative assets. With the new console you can even get this data per country.
💎 #9
Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.
💎 #10
Use your best performing keywords in your Google Ads campaign to improve ROAS.
Stay savvy!
⛏️ Sylvain