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Beyond Broad Match: Steering Google's AI with Signal Data

Stop letting Google guess who your customers are. Learn how to weaponise audience signals to regain control over automated campaign performance.

AI Summary

Master the art of 'training' Google's AI rather than just targeting users. This analysis reveals how to use first-party data, competitor intent, and enhanced conversions to steer automated campaigns toward high-value Australian customers.

For years, Google Ads operated on a logic of exclusion. We told the algorithm who to avoid. In 2026, the script has flipped entirely. With the deprecation of cookies and the rise of black-box automation, the most successful Australian advertisers are no longer just 'targeting' audiences—they are training the AI using sophisticated audience signals.

Audience signals are no longer mere suggestions; they are the fundamental data points that steer Google’s machine learning. If you provide weak signals, you get mediocre traffic. If you provide high-intent, first-party data, you unlock a level of efficiency that broad match alone can never achieve. In the Brisbane market, where competition for local service keywords is at an all-time high, mastering these signals is the difference between a scaling business and a wasted budget.

The era of relying on third-party interest categories is over. To win today, you must feed the algorithm your own 'source of truth.' This means uploading hashed customer lists, CRM data, and offline conversion events.

When you implement precision remarketing strategies, you aren't just showing ads to past visitors; you are telling Google: "Find me more people who look exactly like these high-value buyers."

Many Queensland business owners have migrated to Performance Max (PMax) only to find their lead quality plummeting. This usually happens because they’ve treated PMax as a 'set and forget' tool. The reality is that PMax requires a heavy hand in asset management and audience signaling. Whether you are running asset-heavy performance campaigns or feed-only structures, your audience signals act as the North Star for the algorithm's bidding decisions.

As we look at current trends, we predict that 'Intent Signal Composition' will become the primary lever for PPC managers. This involves layering three distinct types of signals to create a 'Super-Signal':

1. Search Themes: Explicitly telling Google which keywords represent your core business, even in automated campaigns. 2. Competitor Conquesting: Using 'Custom Intent' signals based on users who have visited your rivals' websites. This is a powerful form of ethical conquesting that allows you to capture high-consideration traffic without bidding directly on expensive brand terms. 3. Predicted LTV: Feeding Google data on which customers have the highest lifetime value (LTV), rather than just focusing on the first transaction.

To move from basic targeting to audience signal mastery, follow this three-step framework:

Check your current audience signals in Google Ads. Are you using generic interests like 'Home & Garden'? If so, you’re likely attracting 'window shoppers.' Replace these with 'In-Market' segments and 'Custom Segments' based on specific search terms relevant to your Brisbane service area. Privacy-centric tracking is non-negotiable. By implementing Enhanced Conversions, you allow Google to use first-party data (like an email address entered into a lead form) to match conversions more accurately. This provides a cleaner signal back to the bidding algorithm, reducing the 'learning' phase of your campaigns. Don't treat all signals equally. Create different Asset Groups in PMax for different stages of the funnel. A signal based on 'Past Purchasers' should have vastly different creative and messaging than a signal based on 'Competitor Website Visitors.'

For businesses in South East Queensland, geographic signals are often underutilised. Instead of just targeting 'Brisbane,' use audience signals to identify users who frequent specific high-value postcodes or those who have shown interest in local events and developments. This level of granularity helps the AI understand the nuance of the local market, ensuring your budget isn't spent on low-intent clicks from outside your service radius.

Automation is not a threat to your ROI; it is a multiplier. However, a multiplier applied to zero is still zero. By mastering audience signals, you provide the '1' that allows Google’s AI to scale your results effectively. Stop hoping the algorithm finds your customers and start showing it exactly where they are.

Ready to refine your digital strategy and stop wasting ad spend? Contact the experts at Local Marketing Group today to audit your Google Ads signals and unlock true performance growth.

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