A case study of improving acquisition efficiency by adding signals using a customer list

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mehadihasan123
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A case study of improving acquisition efficiency by adding signals using a customer list

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P-MAX is a campaign that can be delivered to all Google Ads ad slots, and is a delivery menu that is optimized by machine learning even without setting targeting. By utilizing audience signals, you can make automatic optimization even more powerful and aim to improve results by shortening the optimization period.

In this article, we will introduce japan phone number library the changes that occurred when P-MAX actually added a customer list as an audience signal.

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What is the audience signal of P-MAX campaign?

Audience signals are optional settings that can be made in P-MAX campaigns to enhance the optimization of ad delivery. By setting them, you can expect to shorten the learning period and improve targeting accuracy, and they are also recommended as best practices in Google Ads Help.

Available audience signals include customer data (such as past purchase lists or mailing lists), user demographics, interests, and more.

Reference: Google Ads Help "Promote conversions with P-MAX"

Examples of adding audience signals
This time, we added the customer list of past product users to the P-MAX asset group as an audience signal. This would allow more ads to be delivered to users with attributes similar to those of product users, which we thought would improve results.

Prerequisites
This time, the following campaigns were carried out:

Intangible products for toC
Other than P-MAX, only search ads are implemented
The goal is to maximize the number of completed reservations
Purpose of implementing the measures
The purpose of the campaign is to increase the number of reservations for the target product.
In order to increase the number of reservations for the entire advertising campaign, we were thinking of improving the acquisition efficiency via P-MAX and using the saved budget for other campaigns.

Therefore, improving the reservation completion rate for the P-MAX campaign was an important issue.

Aim of the policy
As one of the measures to increase the completion rate of reservations made through P-MAX, we aimed to improve the targeting accuracy of P-MAX.
Therefore, we added a customer list of past product users as an audience signal to P-MAX. This would allow us to prioritize delivery to users similar to our customers.
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