Google combines shopping and dynamic remarketing in their new goal-optimised shopping campaign type.
This week, Google announced that machine learning has come to Shopping Campaigns, with the introduction of a new Shopping campaign subtype, that is ‘goal-optimised’. These new campaigns utilise machine learning with the aim of automatically optimising ad delivery to achieve the advertisers defined conversion goal.
Google explains that the new system will evaluate all available signals and use machine learning to predict the likelihood of a search query. In turn, this allows advertisers to make the most of their budget across networks, products, and audiences.
The new campaign type arguably combines dynamic remarketing and standard Shopping in one campaign to deliver an ad across Google properties and the ad network. The campaign type will extend reach across Google properties and display network, being visible on Google results, Gmail, YouTube, in addition to Search partners ad the Google Display Network.
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