Building a Google Ads User Acquisition Strategy for the Long-Term

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Paul Mears (Senior Industry Manager at Google) spoke at App Promotion Summit London WFH 2020 about building a long-term app marketing strategy with Google.

Source:
Building a Google Ads User Acquisition Strategy for the Long-Term
(no direct link to watch/listen)
(direct link to watch/listen)
Type:
Presentation
Publication date:
April 6, 2020
Added to the Vault on:
April 17, 2020
These insights were shared through the free Growth Gems newsletter.
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💎 #
1

Start to map out what are the different use cases for your app or different functionalities that might appeal to the very discrete user bases within it. 

10:10
💎 #
2

Make sure you maximize all the different iterations of asset types and orientations, otherwise you won't reach the entirety of the Google network. 

10:23
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💎 #
1

Start to map out what are the different use cases for your app or different functionalities that might appeal to the very discrete user bases within it. 

10:10
💎 #
2

Make sure you maximize all the different iterations of asset types and orientations, otherwise you won't reach the entirety of the Google network. 

10:23
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💎 #
1

Start to map out what are the different use cases for your app or different functionalities that might appeal to the very discrete user bases within it. 

10:10
💎 #
2

Make sure you maximize all the different iterations of asset types and orientations, otherwise you won't reach the entirety of the Google network. 

10:23
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Notes for this resource are currently being transferred and will be available soon.

Re-think your Ad Asset strategy

  • Google takes the assets you upload and generates assets automatically from your app store pages to create many ad permutations using machine learning. They are always testing new templates.
  • The ads are placed in many different places (there are many more placements than below: video ads on Google Play, interstitials on ad network, native ads on YouTube, etc.)


Ad groups is a relatively new feature that allows machine learning to find the audience for your ads.


[💎@10:10] Start to map out what are the different use cases for your app or different functionalities that might appeal to the very discrete user bases within it.


[💎@10:23] Make sure you maximize all the different iterations of asset types and orientations, otherwise you won't reach the entirety of the Google network.

Videos are very critical.


Google has good adoption of this in the game space but outside of this, adoption is pretty low and a lot of advertisers have text lines.


This is not a "one and done" process. If possible you want to upload new assets week after week.


I stopped here, the rest is Firebase SDK and a giant Google pitch. Not much interesting was shared (including in the Q&A).


The notes from this resource are only available to premium members.
↘ At this point, you know what to do ↙
Upgrade Your Plan

Re-think your Ad Asset strategy

  • Google takes the assets you upload and generates assets automatically from your app store pages to create many ad permutations using machine learning. They are always testing new templates.
  • The ads are placed in many different places (there are many more placements than below: video ads on Google Play, interstitials on ad network, native ads on YouTube, etc.)


Ad groups is a relatively new feature that allows machine learning to find the audience for your ads.


[💎@10:10] Start to map out what are the different use cases for your app or different functionalities that might appeal to the very discrete user bases within it.


[💎@10:23] Make sure you maximize all the different iterations of asset types and orientations, otherwise you won't reach the entirety of the Google network.

Videos are very critical.


Google has good adoption of this in the game space but outside of this, adoption is pretty low and a lot of advertisers have text lines.


This is not a "one and done" process. If possible you want to upload new assets week after week.


I stopped here, the rest is Firebase SDK and a giant Google pitch. Not much interesting was shared (including in the Q&A).


The notes from this resource are only available to premium members.

The detailed notes taken for a resource are an easy way to see the gems in context to get a better understanding. They also include any relevant visuals from the source.
↘ At this point, you know what to do ↙
Request Access

Re-think your Ad Asset strategy

  • Google takes the assets you upload and generates assets automatically from your app store pages to create many ad permutations using machine learning. They are always testing new templates.
  • The ads are placed in many different places (there are many more placements than below: video ads on Google Play, interstitials on ad network, native ads on YouTube, etc.)


Ad groups is a relatively new feature that allows machine learning to find the audience for your ads.


[💎@10:10] Start to map out what are the different use cases for your app or different functionalities that might appeal to the very discrete user bases within it.


[💎@10:23] Make sure you maximize all the different iterations of asset types and orientations, otherwise you won't reach the entirety of the Google network.

Videos are very critical.


Google has good adoption of this in the game space but outside of this, adoption is pretty low and a lot of advertisers have text lines.


This is not a "one and done" process. If possible you want to upload new assets week after week.


I stopped here, the rest is Firebase SDK and a giant Google pitch. Not much interesting was shared (including in the Q&A).