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Google Ads Tactics to Abandon in 2026

▼ Summary

Google Ads is shifting toward automation, reducing the granular control and transparency previously available to account managers.
– Phrase match keywords are becoming less effective due to Smart Bidding and broad match better interpreting user intent, offering neither scalability nor precision.
– Standard shopping campaigns often outperform Performance Max, providing better control, attribution clarity, and brand safety.
GA4 should not be the primary conversion metric for Google Ads due to data delays and attribution differences; native Google Ads tags or third-party tools are preferred.
– Separating branded terms from Performance Max campaigns can improve budget control and prevent inflated ROAS, though the approach should be tailored to each account’s performance and budget.

The digital advertising landscape is undergoing a significant transformation, with Google Ads increasingly prioritizing automation and reshaping how account managers approach campaign strategy. The detailed manual control that was once standard practice is giving way to more intelligent, machine-driven systems. As we look ahead to 2026, several long-standing PPC tactics are becoming less effective and should be reconsidered.

Relying heavily on phrase match keywords is one strategy losing its relevance. Previously, this match type offered a middle ground for advertisers cautious about broad match but wanting more reach than exact match provided. However, Google’s continuous evolution of match type functionality, combined with the advanced intent-signaling capabilities of Smart Bidding and broad match, has made phrase match less effective. It often fails to deliver the scale needed for growth while simultaneously lacking the precision required for tight control, making it an increasingly poor choice for modern campaigns.

Another tactic to reconsider is completely bypassing standard shopping campaigns. Despite the heavy promotion of Performance Max, many advertisers discover that standard shopping campaigns deliver superior results, a trend that intensified following a late-2024 ad rank update. This change leveled the playing field by removing Performance Max’s inherent priority. Standard shopping provides greater transparency and control, with conversions typically stemming directly from the Google Shopping network. It also offers critical data like product-group-level impression share, which is invaluable for competitive analysis. For those concerned with brand safety, standard shopping remains the more secure option, preventing ads from appearing on irrelevant or unsuitable websites and videos.

Using GA4 as your primary conversion action for Smart Bidding is another practice to move away from. For optimal automated bidding, your primary conversion metric must provide real-time data. GA4’s imported conversions suffer from processing delays and attribute conversions to the date they happened, not the ad click date, which misaligns with how Google Ads optimizes. For the most accurate tracking, third-party solutions often provide the best setup. If that’s not an option, the Google and YouTube app is a reliable alternative, though care should be taken during setup to avoid syncing issues in Merchant Center. GA4 remains useful for building audiences and secondary reporting, but it should not be your main conversion source for bidding.

Allowing Performance Max to capture all branded search traffic can also be a strategic misstep. These campaigns have a natural tendency to aggressively target your brand terms, as they are low-hanging fruit that inflates overall campaign return on ad spend. This can make performance look better than it truly is and may not drive the incremental new customer growth you seek. Creating a separate, dedicated campaign for branded terms gives you direct control over budget and bids. Before making this change, however, carefully assess your existing Performance Max campaign’s age, performance history, and its role in your overall account. In some large or budget-constrained accounts, an immediate separation might not be advisable.

Finally, over-pinning assets in responsive search ads is a tactic that can hinder performance. While pinning certain headlines or descriptions offers a sense of control, it severely limits Google’s ability to test and find the most effective combinations. A better approach is to create fewer, high-quality RSA assets and allow the system more flexibility. It’s also important to understand that ad strength is a diagnostic tool for creative quality, not a key performance indicator. Chasing an “excellent” ad strength score by stuffing assets can actually lead to poorer ad performance for the sake of a vanity metric.

The path to success in 2026 involves adapting to this automated environment. The objective is not to resist the technology but to strategically guide it. By providing high-quality inputs and letting the automated systems handle the execution, advertisers can build more profitable campaigns that are efficient with both budget and time.

(Source: Search Engine Land)

Topics

google ads 100% automation shift 95% keyword match 90% shopping campaigns 85% phrase match 85% smart bidding 80% performance max 80% conversion tracking 75% branded terms 75% responsive search ads 70%