Things to know when you change your Google Merchant Center feed
Updated on July 12, 2023
| 2 minute read
Resources > Things to know when you change your Google Merchant Center feed
It can be difficult to predict the outcome of changes you make to your Google Merchant Centre feed. With lots of options for customisation, it’s important to know the impact of changes you make, especially if you’re getting assistance from a third party.
We’ve come across instances where a client has made a change to their feed which has had a negative impact. We’ve collected some of these examples here, so you don’t have to make the same mistakes.
Changing item IDs
When we start optimising our clients’ Google Shopping campaigns, we rely on performance data that’s linked to product IDs. When these IDs are changed, we lose any of the associated data.
When it comes to PPC campaign optimisation, data is an invaluable resource. Making sure you keep hold of performance data can be a crucial part of maximising your Shopping channel. Keeping your product IDs as they are and not making sudden changes is recommended to enable you to best improve your campaigns.
Some attributes are required by Google and will lead to disapprovals if they’re not included. This is the case for specifications like price and shipping.
For attributes that aren’t compulsory, their removal could lead to a decrease in relevancy for Shopping ads. This could be the case if you removed the ‘brand’ attribute, for example, which could be very useful for search terms.
Using the ‘adult’ attribute
The [adult] attribution tag can be used to indicate that a product is intended for an adult audience. Items with this specification will only show on Google searches for users who are logged into an age-appropriate account.
This should only be used for the specific purpose of highlighting your product as being of an adult nature. Doing otherwise can severely limit traffic for your ads.
It could be tempting to use the [adult] tag to target a specific age group, but there’s a separate specification for this simply called [age_group]. Using this tag would allow you to target things like ‘adult-sized shirt’ and filter out searches for ‘child-sized shirt’, helping your ads show to the most relevant shoppers.
Bidnamic’s machine learning platform lets us automate the bidding process, and helps us to get your ads in front of the most interested shoppers at the right time. If you have questions about Google Shopping or want to know more about how we can help you maximise your Shopping channel’s performance, book a demo with one of our specialists.
Harrie-Anna works in our Customer Success team as an onboarding specialist, helping client accounts to smoothly transition to our technology. She also takes part on organising Bidnamic parties and our employee book club.