Google Tells Advertisers, ‘Trust the Algorithm.’ Here’s When (and Why) We Listen
Broad Match + Smart Bidding: Google’s Power Pair
Broad match keywords have long been viewed as a wild card by GAds specialists, notorious for their loose keyword targeting and their potential for wasting ad spend on unwanted clicks and irrelevant search terms. The possibility for increasingly varied search terms only worsened with Google’s pivot from syntax match to semantic meaning. Despite this, broad match has lost its reputation for wasting ad spend and established itself as a performance-driven keyword match type by piggybacking on improvements to Smart Bidding.
Smart Bidding is an automated bid strategy that optimizes your real-time auction bids based on a variety of user signals and historical data from your ad account. These signals include device type, location, weekday, time of day, and other factors to determine when your ad is shown and how much you bid for the click. While Smart Bidding strategies like Maximize Conversions have been around for over a decade, they’ve vastly improved in recent years. Additional signals like landing page content and previous user searches are exclusively available for broad match keywords (but not phrase or exact). The amount of data processed by the algorithm far outpaces that of a human advertiser and allows for auction-by-auction bid adjustments instantaneously.
By pairing your broad match keywords with Smart Bidding, you have the benefit of complex data analysis and safety parameters that prevent runaway ad spend on irrelevant (non-converting) search terms.
“While our trust in the Google Ads algorithm has never been stronger, performance can vary significantly between ad accounts, and a heavy dose of testing is usually required to find what works best for you.”
Opening Google’s Black Box: PMax and AI Max
Performance Max (PMax) is Google’s extension of Smart Bidding into a goal-based campaign type that accesses the full Google Ads inventory. The initial feedback from advertisers was poor: low transparency and limited control. PMax lacked reporting on what channels ads were shown, which search terms were triggering clicks, and which creative combinations were driving results. In the years since, Google has made a number of changes to ease advertiser concerns. In 2025, advertisers have more control than ever over their PMax campaigns with campaign-level negative keywords, device exclusions, and expanded targeting options. Channel-level reporting and search term insights have also rolled back the curtain on where conversions come from, allowing advertisers to make improvements to their campaigns.
When Google launched AI Max this year, they appear to have learned from previous advertiser painpoints with PMax campaigns. AI Max, a one-touch enhancement to Search campaigns, debuted with intuitive toggles for enabling/disabling key features:
- Text Customization: Generates headlines and descriptions based on your landing page, ads, and keywords
- Final URL Expansion: Sends users to the most relevant pages on your website
From day one of AI Max, Google has prioritized giving advertisers the insights and control that were missing at the birth of PMax.
The Devil’s in the Data: When Google Needs a Human Touch
While trusting the algorithm has become a winning strategy for many advertisers, there are important exceptions to consider. The performance of any algorithm is only as effective as the data it consumes. When conversion data is limited by budget or advertising history, it’s crucial to proceed with caution. While Google’s access to complex user signals is a benefit for broad match and Smart Bidding strategies, auction bids may not be properly set when the correlation between these signals and conversions is limited or weak. Campaigns relying solely on broad match may still result in wasted ad spend without ample conversion history or exhaustive keyword lists.
Google can also fail to account for the balance between lead volume and lead quality. For this reason, we often find that broader strategies can work better for e-commerce clients than lead generation. A dollar always equals a dollar, but not all leads are equivalent in value. When lead quality is a priority, advertisers may opt for a more targeted approach, using phrase or exact match keywords to ensure that ads are shown only to the most relevant audience.
While our trust in the Google Ads algorithm has never been stronger, performance can vary significantly between ad accounts, and a heavy dose of testing is usually required to find what works best for you. In these cases, older best practices may still be your golden ticket:
- Low Conversion Volume (<20 per month)
- Limited Advertising History
- Lead Quality > Lead Volume
The Path Forward for Advertisers
The digital advertising landscape is always shifting, and Google’s algorithms are often at the forefront of this change. As advertisers, it is our responsibility to understand these shifts and find a balance between new technology and human-driven expertise to drive the best results for our clients. Success in this era often requires a nuanced understanding: balancing trust in the algorithm with strategic oversight and attention to business-specific objectives. When the right balance is struck, advertisers and their clients can reap the reward of meaningful results for their business.
Wondering if your campaign is aligned with the new rules of Google advertising in 2025? Contact SharpNet Solutions now to speak with our experts!