Features of Advantage+ Shopping Campaign (ASC)

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ishanijerin1
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Joined: Tue Jan 07, 2025 4:48 am

Features of Advantage+ Shopping Campaign (ASC)

Post by ishanijerin1 »

[Meta Advertising] Features of Advantage+ Shopping Campaign (ASC)
Hello! This is Ida from iTrigger.
Do you know about Meta Ads' Advantage+ Shopping Campaign (ASC)?

It is a campaign specialized in automation that simplifies the items set by the ad manager as much as possible, leaves the delivery adjustment to automatic bidding, and differentiates from others with creativity .
It was implemented from October 2022, and I think that many people have gradually implemented it or are considering implementing it, so in this article we will explain its features and how to set it up!

table of contents

What is an Advantage+ Shopping Campaign (ASC)?
Difference between Advantage+ Shopping Campaign (ASC) and regular campaign
How to set up an Advantage+ Shopping Campaign (ASC)
lastly
What is an Advantage+ Shopping Campaign (ASC)?
As mentioned above, ASC is a campaign that specializes in automation.
Basically, everything is automated, and many ad managers may have an idea similar to the P-MAX campaign of Google Ads.
The features of ASC are directly related to the differences from regular campaigns described below, and are as follows.

Machine Learning
In addition to existing target information, information within the target segment is incorporated into the delivery algorithm.
Automatically optimize creative content for each target

This campaign aims to maximize advertising effectiveness by automating targeting and creative.

By automating the configuration, you can get the best performance from your Meta solution with minimal input work.

Source: Meta official help
It seems like they have a lot of confidence in advantages of truemoney database machine learning.

Targeting
You can adjust the delivery ratio for new and existing targets.
Data can be extracted for new and existing targets
Aggregate audience and creative combinations into up to eight campaigns for efficiency
Basically, adjustments are left to machine learning, but a major feature is that adjustments for new and existing targets can be made within ASC.
In normal campaigns, it was necessary to prepare separate campaigns for new and existing targets.
With ASC, you can approach both targets in the same campaign, and you can also set the delivery ratio.

This will also reduce the number of campaign assets, and by consolidating data, it will be easier to advance machine learning .
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