How to Boost your ASO with Data Analytics

💎  x
10

Marek Pasieczny (ASO Specialist at Gamesture) shares 3 success stories around leveraging data analytics in order to boost organic traffic and App Store Optimization.

Type:
Webinar
Publication date:
November 11, 2020
Added to Growth Gems on:
November 19, 2020
💎 #
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. Example here.

13:06
💎 #
2

Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can remove outliers.

14:40
💎 #
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.

15:58
💎 #
4

It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example here.

16:34
💎 #
5

Boost your organic traffic (organic uplift) by calculating the correlation coefficient between UA and organic in your different markets and investing where it is higher. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.

17:26
💎 #
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.

18:57
💎 #
7

Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.

21:45
💎 #
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.

35:49
💎 #
9

 Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.

37:16
💎 #
10

Use your best performing keywords in your Google Ads campaign to improve ROAS.

40:08
This is premium content. Upgrade your plan in your profile to get access.
💎 #
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. Example here.

13:06
💎 #
2

Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can remove outliers.

14:40
💎 #
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.

15:58
💎 #
4

It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example here.

16:34
💎 #
5

Boost your organic traffic (organic uplift) by calculating the correlation coefficient between UA and organic in your different markets and investing where it is higher. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.

17:26
💎 #
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.

18:57
💎 #
7

Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.

21:45
💎 #
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.

35:49
💎 #
9

 Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.

37:16
💎 #
10

Use your best performing keywords in your Google Ads campaign to improve ROAS.

40:08
This content is available to Growth Gems premium members only.
Apply Now
💎 #
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. Example here.

13:06
💎 #
2

Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can remove outliers.

14:40
💎 #
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.

15:58
💎 #
4

It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example here.

16:34
💎 #
5

Boost your organic traffic (organic uplift) by calculating the correlation coefficient between UA and organic in your different markets and investing where it is higher. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.

17:26
💎 #
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.

18:57
💎 #
7

Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.

21:45
💎 #
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.

35:49
💎 #
9

 Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.

37:16
💎 #
10

Use your best performing keywords in your Google Ads campaign to improve ROAS.

40:08
This is premium content. Upgrade your plan in your profile to get access.
This content is available to Growth Gems premium members only.
Apply Now
You need to be logged in the community to see the discussion below. You can also head over to
this topic in the community

Slides.

Marek Pasieczny and Gamesture work on the games Questland and Fablehood (in soft launch).

Correlation between UA & Similar Apps

Export your Similar Apps data (e.g. from Apptweak), and export your UA data (from the Google Play Console, your MMP, your own BI tool). Make sure you use the exact same date range.

[💎 @13:06] 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. Example below:

[💎 @14:40] Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can make sure you remove outliers.

[💎 @15:58] 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.

[💎 @16:34] It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example below.

[💎 @17:26] Boost your organic traffic (organic uplift) by investing in markets where the correlation coefficient between UA and organic is higher. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.

Use your own resources to boost conversion and revenue

[💎 @18:57] 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.

Marek didn't find anything in the Google Play Store guidelines saying you couldn't do that.

[💎 @21:45] Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.

Also observed slight increase in retention (+15% in D1) from the cohort using the code.

Analyzing keyword KPIs for ASO purposes

When analyzing keyword data from the Google Play Store console, choose keywords with at least 500 impressions per month.

You can then export data from the conversion analysis in the new Google Play Console.

[💎 @35:49] 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.

Using Google Play Store's data (old console only), you can identify the most profitable keywords and make sure they are included in your app listing.

[💎 @37:16] Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.

You can also evaluate the differences in performance for short tail and long tail keywords.

[💎 @40:08] Use your best performing keywords in your Google Ads campaign to improve ROAS.

Q&A

  • Any way to speed up Google Play Store experiments?
  • You can calculate the sample size you need before you can stop the test. Even though a best practice is to run the test for 7 days, if you have enough scale you might be able to end earlier.

This is premium content. Upgrade your plan in your profile to get access.

Slides.

Marek Pasieczny and Gamesture work on the games Questland and Fablehood (in soft launch).

Correlation between UA & Similar Apps

Export your Similar Apps data (e.g. from Apptweak), and export your UA data (from the Google Play Console, your MMP, your own BI tool). Make sure you use the exact same date range.

[💎 @13:06] 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. Example below:

[💎 @14:40] Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can make sure you remove outliers.

[💎 @15:58] 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.

[💎 @16:34] It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example below.

[💎 @17:26] Boost your organic traffic (organic uplift) by investing in markets where the correlation coefficient between UA and organic is higher. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.

Use your own resources to boost conversion and revenue

[💎 @18:57] 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.

Marek didn't find anything in the Google Play Store guidelines saying you couldn't do that.

[💎 @21:45] Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.

Also observed slight increase in retention (+15% in D1) from the cohort using the code.

Analyzing keyword KPIs for ASO purposes

When analyzing keyword data from the Google Play Store console, choose keywords with at least 500 impressions per month.

You can then export data from the conversion analysis in the new Google Play Console.

[💎 @35:49] 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.

Using Google Play Store's data (old console only), you can identify the most profitable keywords and make sure they are included in your app listing.

[💎 @37:16] Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.

You can also evaluate the differences in performance for short tail and long tail keywords.

[💎 @40:08] Use your best performing keywords in your Google Ads campaign to improve ROAS.

Q&A

  • Any way to speed up Google Play Store experiments?
  • You can calculate the sample size you need before you can stop the test. Even though a best practice is to run the test for 7 days, if you have enough scale you might be able to end earlier.

This content is available to Growth Gems premium members only.
Apply Now

Slides.

Marek Pasieczny and Gamesture work on the games Questland and Fablehood (in soft launch).

Correlation between UA & Similar Apps

Export your Similar Apps data (e.g. from Apptweak), and export your UA data (from the Google Play Console, your MMP, your own BI tool). Make sure you use the exact same date range.

[💎 @13:06] 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. Example below:

[💎 @14:40] Before calculating the correlation coefficient using the Pearson correlation coefficient, you want to also visualize the data so you can make sure you remove outliers.

[💎 @15:58] 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.

[💎 @16:34] It's crucial to calculate this correlation coefficient for your top tier markets, as results can be quite different. Example below.

[💎 @17:26] Boost your organic traffic (organic uplift) by investing in markets where the correlation coefficient between UA and organic is higher. In the gaming industry you can expect a paid install to generate between 1 to 17 organic installs.

Use your own resources to boost conversion and revenue

[💎 @18:57] 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.

Marek didn't find anything in the Google Play Store guidelines saying you couldn't do that.

[💎 @21:45] Use Google Play Store experiments but also analyze the Google Play Console data during the experiment and after the implementation of the winner.

Also observed slight increase in retention (+15% in D1) from the cohort using the code.

Analyzing keyword KPIs for ASO purposes

When analyzing keyword data from the Google Play Store console, choose keywords with at least 500 impressions per month.

You can then export data from the conversion analysis in the new Google Play Console.

[💎 @35:49] 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.

Using Google Play Store's data (old console only), you can identify the most profitable keywords and make sure they are included in your app listing.

[💎 @37:16] Using Google Play Store's data (old console) you can identify language performance: which languages bring the most buyers, best ARPPU, etc.

You can also evaluate the differences in performance for short tail and long tail keywords.

[💎 @40:08] Use your best performing keywords in your Google Ads campaign to improve ROAS.

Q&A

  • Any way to speed up Google Play Store experiments?
  • You can calculate the sample size you need before you can stop the test. Even though a best practice is to run the test for 7 days, if you have enough scale you might be able to end earlier.