In this way, the investment can be optimized much
Posted: Sun Dec 22, 2024 9:52 am
In addition to the mandatory attributes, there are also so-called optional attributes, which are recommended to be used whenever possible, since the more complete the feed is, the better the products will rank in Shopping.
Google Shopping is increasingly using filters both in the SERP and in the Shopping tab comparison tool. Where do you think it gets the information it needs from?
Exactly, of the optional attributes, the more information is provided, the better positioning we will obtain.
If the user selects a filter and the feed does not contain the attribute that contains those filters ( size, color, etc. ), the seller's products will not appear in the comparison:
Google Shopping on Black Friday - Optional Attributes
Attribution models in Google Ads
There are several attribution models in Google Ads, and choosing the right one is essential to ensure that campaigns are optimized as correctly as possible.
The attribution models that we recommend using in e-commerce are:
Depending on the position.
Data-driven.
The data-driven model is not always available.
Google requires that you meet minimum requirements, which are to have at least 15,000 clicks on Google search and at least 600 conversions in a 30-day period.
These specifications must be maintained over time, otherwise this attributio philippines cellphone number n model will no longer be available.
When you start working on an e-commerce site on Google Shopping, it is highly recommended to differentiate between generic search terms and specific ones.
That is to say, a fantastic strategy would be to create a campaign aimed only at entering generic terms and another at terms that contain brands, references, etc.
better, since we will establish a lower CPC for those generic terms that bring in a lot of traffic but generally offer few conversions and, instead, we will aim for a higher CPC for much more transactional terms that, for example, contain brands or references.
Why is this done?
It is obvious that a user searching for “air conditioning”, “mattress” or “mobile” is not as likely to make the purchase as someone searching for “mitsubishi 512 air conditioning” or “flex viscoelastic mattress 90”, which is why we will be interested in bidding more on long tail terms.
At Geotelecom, to make all the work involved in this continuous review and negativization much faster and easier, we have developed scripts that detect and add negative terms on a daily basis.
An example of an e-commerce specialized in air conditioners would be this:
Google Shopping and Black Friday - Negative Terms Script
Our script “negativizes” search terms that do not contain any of the words or references that we consider interesting for the campaigns.
This way, it's easier to filter what we want to go through one campaign or another.
Google Shopping is increasingly using filters both in the SERP and in the Shopping tab comparison tool. Where do you think it gets the information it needs from?
Exactly, of the optional attributes, the more information is provided, the better positioning we will obtain.
If the user selects a filter and the feed does not contain the attribute that contains those filters ( size, color, etc. ), the seller's products will not appear in the comparison:
Google Shopping on Black Friday - Optional Attributes
Attribution models in Google Ads
There are several attribution models in Google Ads, and choosing the right one is essential to ensure that campaigns are optimized as correctly as possible.
The attribution models that we recommend using in e-commerce are:
Depending on the position.
Data-driven.
The data-driven model is not always available.
Google requires that you meet minimum requirements, which are to have at least 15,000 clicks on Google search and at least 600 conversions in a 30-day period.
These specifications must be maintained over time, otherwise this attributio philippines cellphone number n model will no longer be available.
When you start working on an e-commerce site on Google Shopping, it is highly recommended to differentiate between generic search terms and specific ones.
That is to say, a fantastic strategy would be to create a campaign aimed only at entering generic terms and another at terms that contain brands, references, etc.
better, since we will establish a lower CPC for those generic terms that bring in a lot of traffic but generally offer few conversions and, instead, we will aim for a higher CPC for much more transactional terms that, for example, contain brands or references.
Why is this done?
It is obvious that a user searching for “air conditioning”, “mattress” or “mobile” is not as likely to make the purchase as someone searching for “mitsubishi 512 air conditioning” or “flex viscoelastic mattress 90”, which is why we will be interested in bidding more on long tail terms.
At Geotelecom, to make all the work involved in this continuous review and negativization much faster and easier, we have developed scripts that detect and add negative terms on a daily basis.
An example of an e-commerce specialized in air conditioners would be this:
Google Shopping and Black Friday - Negative Terms Script
Our script “negativizes” search terms that do not contain any of the words or references that we consider interesting for the campaigns.
This way, it's easier to filter what we want to go through one campaign or another.