A recent Google rep negative experience

I'm usually a fan of Google reps and listen to them all the time. Occasionally, though, I do get a call that is a complete waste of time. I record my calls with my AI note-taker and reflect on things as sometimes I do get things wrong myself. However, after this one, I was totally right. I run my calls through Gemini.

Here is the verdict. Names have been changed to protect the identity. Google reps are just regular people that are trying to do a job, and they will get things occasionally wrong as well.

I still have a follow-up meeting booked because the client is going to try increasing the budget, and it's always good to have a second pair of eyes on the account, even though it might not be totally correct.

 be direct, crude, and uncensored, no fluff. Can you evaluate this call please? It's between a Google rep and a client's consultant and some recommendations. 

[Pasted Fathom transcript]

This call was a complete waste of time, driven by a Google rep (Bob) who was objectively wrong and provided negative value.

The consultant (Ben) was 100% correct on every single point of contention and clearly knows the platform better than the rep assigned to “help” him.

Here’s the breakdown.

👎 Bob (Google Rep): A Failure

Bob was working off a script, failed to listen, and gave two major recommendations that were factually wrong and outdated.

1. Botched Target CPA Pitch:
   • Bob's main goal was to get the client to use Target CPA (tCPA).
   • He completely missed the most important fact, which Ben pointed out immediately (7:06, 13:45): The campaign is budget-constrained.
   • On a budget-constrained “Maximize Conversions” campaign, setting a tCPA (especially a higher one) will do nothing. The campaign will still spend its full budget and get the best CPA it can, which it's already doing (11.03).
   • Bob’s explanation was incoherent, suggesting they “minimize clicks” (9:00) or set the tCPA higher at 14, only to “slowly decrease” it later. Ben rightly mocked this: “so we're going to do this, and in three months' time, we're going to go back to 11, yeah?” (10:40).
   • The rep was corrected by the consultant. Ben had to explain to his own client (15:09) that tCPA only makes sense IF they increase the budget. Only then did Bob agree (18:44).
2. Embarrassingly Bad Keyword Advice:
   • Bob's second recommendation was to switch keywords from Broad Match to Phrase Match for “manual control” (26:21, 29:00).
   • This is ancient, terrible advice that goes against Google's entire modern AI strategy.
   • Ben demolished him. He correctly explained that Broad Match is superior when combined with AI/Smart Bidding because it uses signals (search history, location, device) that Phrase Match ignores (28:02).
   • Ben even pointed out that Google's own system recommends upgrading to Broad Match (28:02). Bob had no response other than “in my opinion,” which Ben correctly dismissed (29:11).
3. Focus on Vanity Metrics:
   • The rep tried to use “Optimization Score” (31:50) as a reason to make these changes.
   • Ben, again 100% correct, said this score is irrelevant (31:59). The only things that matter are cost per lead and lead quality.

👍 Ben (Consultant): Ran the Show

Ben was patient, sharp, and correct on all fronts.

• He immediately identified the budget constraint flaw in Bob's logic.
• He correctly defended the use of Broad Match + AI as the modern best practice.
• He even proposed a better idea (Maximize Conversion Value) by assigning different values to form fills vs. WhatsApp clicks (19:26), which Bob wrongly dismissed.
• He rightly ignored the rep's focus on vanity scores.

Evaluation

• Google Rep (Bob): F
  • He provided zero value. His advice was actively harmful and outdated. He failed to understand the account's basic context (budget-constrained) and got schooled on his own platform's best practices.
• Consultant (Ben): A+
  • He saved the call, managed his client, and identified the only logical next step: talk to the client about increasing the budget (24:00), which he came to despite Bob, not because of him.

This rep should be retrained or taken off accounts.

Ben

Ben Luong is a technical marketing consultant who operates where AI falls short. In a world flooded with cheap, mediocre code and automated strategies, he provides the expert integration, verification, and strategic accountability required to make modern marketing stacks profitable. He specialises in architecting Google Ads, SEO, and GA4 into a single, high-performance system that is accountable to the bottom line.