Site icon SEOPARK

Google adds segmentation to Performance Max Asset Groups

Google Ads to deprecate enhanced CPC for Search and Display Ads

Select Google Ads accounts can now access a new “segment” option for Performance (PMax) Asset Group performance, offering a long-awaited layer of granularity to campaign insights.

This has been a highly requested feature for years, and Google has now delivered, enhancing the ability to monitor and optimize PMax campaigns.

Why we care. This new segmentation tool empowers you to slice data directly in the Table View, allowing for deeper analysis of campaign performance. Notably, you can now see specific conversion actions and track the “days to conversion,” providing critical insights into the timing and value of conversions across different asset groups.

With the UI having been a point of contention for advertisers in the past, this new ease in segmenting performance is a step in the right direction.

How it works. The segmentation feature enables advertisers to break down Pmax Asset Group performance by:

Time

Click Type (consistently set to cross-network clicks)

Conversions

Device

Network (showing cross-network by default)

Top vs. Others

Get the newsletter search marketers rely on.

Key feature spotlight. The “Conversions” segment opens up new possibilities for Pmax users. It allows for the analysis of conversion values based on different actions and tracks “days to conversion,” which details how long it takes for each asset group to drive conversions.

This insight enables advertisers to better understand the performance journey of their users and make data-driven adjustments to optimize for faster conversions.

First seen. This update was first seen by Thomas Eccel on LinkedIn, who noted that fellow marketers Meltem Balcia and Carolin Carvalho da Silva brought it to his attention.

What’s next. As the segmenting feature is gradually rolled out, more accounts will gain access to these detailed insights, which will support advertisers in refining campaign strategies and understanding user behavior more precisely.

Exit mobile version