Google Ads recommendations are automated suggestions generated by Google’s machine learning algorithms, designed to optimize your campaign performance. They appear directly within your Google Ads account, typically on the “Recommendations” page, and cover a wide range of actions-from adjusting bids and adding keywords to changing budgets and enabling new ad formats. These recommendations are based on historical data from your account and broader trends across Google’s advertising network, meaning they’re not arbitrary; they’re data-informed hints that aim to improve your results.
However, the critical question is whether you should always follow them. The short answer is no. Google’s recommendations are not universally beneficial for every business or campaign goal. Here’s why you need to approach them with a strategic mindset:
The Potential Benefits of Following Recommendations
When used correctly, Google Ads recommendations can save time and surface opportunities you might miss. They often point to low-hanging fruit, such as adding relevant keywords that your account is already performing well for, or pausing underperforming keywords to reduce wasted spend. For example, if your account shows a high impression share but low conversion rate, Google might recommend adjusting bids to focus on more qualified traffic. In these cases, following the recommendation can genuinely improve efficiency.
Common recommendation categories include:
- Bid adjustments – Suggestions to increase or decrease bids for specific devices, locations, or audiences.
- Keyword additions or removals – Ideas for expanding your reach or cutting irrelevant terms.
- Budget changes – Alerts when campaigns are limited by budget and could benefit from higher spend.
- Ad extensions – Prompts to add sitelinks, callouts, or structured snippets to improve ad visibility.
- Campaign types – Suggestions to switch to Smart Bidding or add Performance Max campaigns.
For a busy marketer, these can be a useful starting point, especially if you lack the time to dig deep into account data daily.
The Risks of Blindly Following Recommendations
Despite their apparent helpfulness, Google Ads recommendations come with significant pitfalls. The most important to understand is that Google’s primary incentive is to increase ad spend. Recommendations that push you toward higher budgets, more expensive keywords, or automated bidding often serve Google’s revenue model, not necessarily your profitability. If you blindly follow every suggestion, you can easily overspend without seeing a corresponding lift in conversions or revenue.
Here are specific risks to watch for:
- Increased cost without proportional returns – Recommendations to raise budgets or bids can drain your account if your conversion rates or margins don’t support the higher spend.
- Loss of control – Suggestions to switch to fully automated Smart Bidding or broad match keywords can reduce your ability to fine-tune targeting. This works well for some accounts but can be disastrous for niche or highly controlled campaigns.
- Irrelevant audience expansion – Google may recommend targeting broader audiences that dilute your message and attract clicks from users unlikely to convert.
- Conflict with your unique strategy – If you’re running a specific brand awareness campaign or targeting a narrow customer segment, general recommendations might undermine that strategy.
At Sagum, we’ve seen this play out countless times. A client will follow a recommendation to increase budget on a campaign that was already profitable, only to see their cost-per-acquisition spike dramatically because the extra spend hit less efficient inventory. The key is to understand why a recommendation exists before acting on it.
How to Decide When to Follow Recommendations
Rather than following every suggestion, adopt a decision-making framework. Here’s the approach we use at our agency:
- Evaluate the recommendation against your goals. Does it align with your primary objective-whether that’s ROAS, lead quality, or brand exposure? If not, skip it.
- Check the data behind it. Recommendations are based on historical trends, but those trends may not hold. For example, a recommendation to increase a keyword bid might reflect past performance that won’t repeat due to seasonality or market shifts.
- A/B test when possible. Instead of applying the recommendation globally, test it on a small segment. Compare the results before rolling it out to your main campaigns.
- Use manual override for critical controls. If you know your audience well, you may choose to ignore recommendations that push toward automation, especially if you have a high degree of control over your targeting.
- Consult your digital marketing manager. A skilled manager can interpret recommendations in the context of your full account history and business strategy. At Sagum, our senior digital marketing managers review all major recommendations with clients before implementation, ensuring alignment with your objectives.
The Bottom Line
Google Ads recommendations are a tool, not a mandate. They can be valuable for identifying optimization opportunities, especially when you’re short on time, but they should never be applied automatically or without critical thought. The most effective approach is to treat them as a starting point for analysis, not a finished answer. Pair them with your own data, goals, and experience-or better yet, partner with an agency that understands the nuance of each account.
In the world of digital marketing, the balance between automation and human judgment is everything. Following recommendations blindly is a shortcut to mediocrity; using them strategically is how you achieve sustainable growth.
