When to Push Back on Your Google Ads Rep: A Real-World Guide

Alissa Stahl

By Alissa Stahl

If you’ve managed a Google Ads account for any length of time, you’ve likely been contacted by a “dedicated account strategist” at Google. These representatives reach out with suggested optimizations to help you hit your performance goals. On paper, it sounds like a win-win. After all, who would understand the platform better than the people who built it?

But theory doesn’t always align with reality. In our experience, some Google Ads reps do offer real insights and take the time to understand your objectives. More often, however, their advice leans heavily on pushing automations and platform features that serve Google’s internal priorities more than your business goals. Time and again, we’ve seen how their incentives can diverge sharply from what actually drives growth for your company.

Reality Check: What Google Wants vs. What You Need

Let’s be clear. Google’s core mission is to drive more ad spend. That fact alone should shape how you interpret any advice they give. What they call an “optimization” can sometimes lead to ballooning costs and underwhelming performance.

For example, Google reps frequently encourage account managers to adopt automated bidding strategies like “maximize conversions” even when it does not align with the available data. Max conversions uses your conversion data to look for more users who are likely to convert. However, if your campaign has few to no conversions, there is no conversion data for Google to maximize.

Google reps may insist the algorithm uses other signals to help drive conversion, which may sound reassuring, but in practice, the results often don’t live up to the pitch.

A Cautionary Tale: When Maximize Conversions Backfired

Not long ago, we had a long-term Google rep, someone who understood our clients and campaigns well, strongly pushed us to shift several high-spend, high-traffic, low-converting campaigns to a “maximize conversions” bidding model. Despite our reservations, their conviction led us to run a controlled test.

We rolled it out across campaigns for two financial institutions. One was a national bank targeting a niche group. The other was a regionally focused bank. After four weeks, the results were clear:

  • Clicks and Impressions Nosedived: Across both clients, impressions took a major hit because Google didn’t have the data to show our ads to a potentially converting audience, so they just stopped showing our ads altogether. With fewer impressions, comes fewer clicks – we saw clicks drop by nearly 74 percent.
  • Costs Exploded: The average CPC jumped from $9 to $41, drastically increasing spend.
  • Conversions Barely Moved: Conversion gains were negligible. One client saw only a single extra conversion, which came nowhere close to justifying the added cost.

And this wasn’t limited to Search. Display and YouTube remarketing campaigns showed similar performance drops. Traffic declined, costs spiked, and conversions stayed flat. The data told a consistent story.

Campaign Breakdown and Data Highlights

Free Checking Search Campaigns:

  • Testing Period Comparison: We compared data from October 1–28 with the previous period (September 3–30).

Bank 1 Results

Bank 2 Results

Certificates of Deposit (CDs) Campaigns:

Bank 1 Results

Bank 2 Results

Non-Search Channels (Display):

Remarketing Results

Prospecting Results

Bottom Line: Let the Numbers Lead

After four weeks of declining performance, we moved all campaigns back to manual bidding. The takeaway is simple. Google’s recommendations need to be scrutinized and tested before they’re implemented, especially when your budget and business goals are on the line.

Here’s how we approach rep calls to keep strategy grounded in results:

  • Ask Smart Questions: Don’t accept suggestions without digging deeper. Ask how it supports your lead quality metrics or whether there’s a proven track record with similar accounts.
  • Require Proof: If they can’t provide performance benchmarks or relevant data models, treat the recommendation as unproven.
  • Test in Isolation: Validate big shifts through controlled experiments. Your current approach becomes the benchmark, and the proposed change earns its place.
  • Control Access: Never hand over full control of your account. Your team should own every change and track outcomes closely.

No one knows your account better than you. Google’s reps can be a helpful resource, but your decisions should always come back to your data, your goals, and what has proven to work. That’s how real performance improvements happen.

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