Google Ads Adds Local Customer Optimization to Performance Max

Google has introduced Local Customer Optimization, a new campaign-level setting for Performance Max designed to prioritize users who are physically near a business or actively searching for local services [1]. The update aims to bridge the gap between digital ad exposure and physical store activity, specifically targeting consumers ready to visit a location, request directions, or call a business [2].

Targeting local intent

The new feature utilizes location signals, search behavior, and intent data gathered from Google Maps, Waze, and local search formats to identify high-intent consumers [1]. By enabling this setting, advertisers can automate ad delivery across YouTube, Display, Search, and Maps to reach users who appear ready to take immediate offline action [1]. Google intends for this to increase foot traffic and improve return on ad spend by aligning paid media more closely with local consumer behavior [1].

However, the feature comes with specific technical constraints. It is currently incompatible with online-only campaign goals and cannot be used in Performance Max campaigns that pull products from a linked Merchant Center account [2]. Retailers utilizing feed-based campaigns must create a separate, eligible campaign focused specifically on store goals to leverage the new optimization tool [2].

Integrating offline data

Alongside the optimization setting, Google is updating its Data Manager to simplify the ingestion of in-store transaction data [2]. This update, expected to begin rolling out at the end of September, allows advertisers to connect CRM or spreadsheet-based sales data directly to their Google Ads accounts [2]. By integrating this offline transaction data, eligible advertisers can incorporate in-store revenue into their Smart Bidding strategies, allowing the system to optimize for the value of physical purchases rather than just online clicks [2].

These changes arrive as retailers prepare for the Q4 holiday shopping season, a period when the interplay between online research and in-store purchasing typically intensifies [2]. While the automation is designed to reduce manual adjustments, Google notes that adding offline conversion data to bidding models changes the underlying data used for auction decisions, requiring advertisers to monitor their conversion goal settings closely [2].

What to watch

• Global Rollout: Monitor the availability of the Local Customer Optimization setting as it continues its global deployment [2].
• Data Manager Integration: Track the late-September rollout of the Store Sales integration in Data Manager to see if it reduces the technical barrier for advertisers currently struggling to upload offline transaction data [2].
• Performance Impact: Observe how campaigns that incorporate offline transaction data into Smart Bidding perform compared to those relying solely on online conversion signals during the upcoming holiday season [2].

The update represents a broader push by Google to consolidate digital and physical retail data into a single automated framework. Whether this shift successfully drives measurable foot traffic depends on how effectively advertisers can navigate the strict eligibility requirements for offline data and the limitations on existing feed-based campaigns.