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How to Maximise Google Ads Performance

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Manage episode 342854556 series 2894616
Content provided by Trevor Ginn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Trevor Ginn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this week's podcast, Trevor talks to John Horn from The Stub Group about how to Maximise your Google ads performance. Google has been increasing the automation of its ads programmes, recently introducing the highly automated Performance Max format.

What is Performance Max

Performance Max campaigns use machine learning to try and achieve a retailer's goals. They are highly automated and do not require the advertiser to specify any targets. To create a PM campaign, a retailer must specify

  • Product feed
  • Performance goals
  • Audience signals
  • Ad creative

Google takes this info and finds customers for your business within your target.

Benefits to retailers

PM campaign is a massive time saver; in John's experience, they outperform standard shopping campaigns.

In my experience (Trevor), whilst it is possible to beat automation in the short term, in the long term, performance is steadier.

Optimising Performance max

Optimise product feed

The data you submit to PM is your biggest lever when optimising performance. Areas to optimise:

  • Images
  • Title
  • Attributes
  • Video content

Assets

Creating attractive and relevant ad assets will help Google understand your products and promote them more effectively to potential customers.

Audience signals

With privacy becoming a more significant issue online, companies like Apple have stopped shaving customer data with advertisers. To help Google learn faster, submit audience data to Google, e.g. customer emails.

In my experience (Trevor), adding audience data makes a massive difference to performance.

Performance Targets

Carefully choose your performance target. The most aggressive a target, the harder Google will find it to find customers at that price.

Joihn talked to Trevor Ginn from vendlab.com, an eCommerce agency specialising in online marketplaces and e-commerce sales platforms.

  continue reading

88 episodes

Artwork
iconShare
 
Manage episode 342854556 series 2894616
Content provided by Trevor Ginn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Trevor Ginn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this week's podcast, Trevor talks to John Horn from The Stub Group about how to Maximise your Google ads performance. Google has been increasing the automation of its ads programmes, recently introducing the highly automated Performance Max format.

What is Performance Max

Performance Max campaigns use machine learning to try and achieve a retailer's goals. They are highly automated and do not require the advertiser to specify any targets. To create a PM campaign, a retailer must specify

  • Product feed
  • Performance goals
  • Audience signals
  • Ad creative

Google takes this info and finds customers for your business within your target.

Benefits to retailers

PM campaign is a massive time saver; in John's experience, they outperform standard shopping campaigns.

In my experience (Trevor), whilst it is possible to beat automation in the short term, in the long term, performance is steadier.

Optimising Performance max

Optimise product feed

The data you submit to PM is your biggest lever when optimising performance. Areas to optimise:

  • Images
  • Title
  • Attributes
  • Video content

Assets

Creating attractive and relevant ad assets will help Google understand your products and promote them more effectively to potential customers.

Audience signals

With privacy becoming a more significant issue online, companies like Apple have stopped shaving customer data with advertisers. To help Google learn faster, submit audience data to Google, e.g. customer emails.

In my experience (Trevor), adding audience data makes a massive difference to performance.

Performance Targets

Carefully choose your performance target. The most aggressive a target, the harder Google will find it to find customers at that price.

Joihn talked to Trevor Ginn from vendlab.com, an eCommerce agency specialising in online marketplaces and e-commerce sales platforms.

  continue reading

88 episodes

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