This article documents the Performance Max (PMAX) campaign results for [1] during October–November 2025, including the measurable impact of a mid-period budget cut and the strategic rationale for PMAX as a discovery tool in the early months of a campaign.
Source: [2]
| Metric | October | November |
|---|---|---|
| Daily Budget | $90/day | $60/day |
| Conversions | 84.7 | Declined (budget-limited) |
| Budget Change | — | −33% |
Key finding: The 33% budget reduction from $90/day to $60/day in November correlated directly with a measurable drop in conversions, strongly suggesting the campaign was operating in a budget-constrained state in October — meaning it could have spent more and delivered more conversions had the budget allowed.
Performance Max is a Google Ads campaign type that consolidates multiple ad formats — Search, Display, YouTube, Gmail, and Maps — into a single AI-managed campaign. Rather than requiring separate campaigns per channel, PMAX uses machine learning to allocate budget across formats based on real-time performance signals.
"It's a really, really effective way of doing reconnaissance to say, hey, what's out there and what might work?"
— Mark Hope, Asymmetric
For a new advertiser like BluePoint ATM, PMAX serves as a structured learning phase:
The tradeoff is intentional: you accept lower short-term efficiency in exchange for data that informs a more targeted, higher-ROI strategy later.
PMAX is typically a 6–12 month reconnaissance phase. After that window, the data gathered should be sufficient to:
"Most clients, after the first 6, 8, 12 months, we stop doing PMAX campaigns."
— Mark Hope, Asymmetric
In November 2025, BluePoint's PMAX daily budget was reduced from $90 to $60 — a 33% cut. This coincided with:
The combination of these three changes makes November's decline overdetermined: any one of them alone could have caused a measurable drop.
The October conversion rate of 84.7 conversions at $90/day suggests the campaign was not hitting a performance ceiling — it was spending its full budget and converting at a healthy rate. When budget was cut, the campaign had less to spend, ran fewer auctions, and delivered fewer conversions. This is a budget-limitation problem, not a campaign quality problem.
The data supports restoring or increasing the PMAX daily budget, particularly if LinkedIn ad spend is being reallocated to Google Ads. See [3] for the broader context.
Two search campaigns were paused in November alongside the PMAX budget cut:
These pauses were partly driven by keyword strategy concerns (see [4]) and partly by budget reallocation decisions. Their removal from the active campaign mix compounded the November conversion decline, making it difficult to isolate the PMAX budget cut's individual effect.
Recommendation: When analyzing November performance, treat the paused campaigns as a confounding variable. Do not attribute the full conversion decline to PMAX budget reduction alone.
Mark Hope walked through the LTV math during the review to contextualize ad spend efficiency:
| Input | Value |
|---|---|
| Average annual deal value | ~$10,000 |
| Average customer lifetime | 3–5 years |
| Estimated LTV (nominal) | ~$40,000 |
| Estimated LTV (discounted) | ~$30,000 |
At a 1% conversion rate and $10/click, the cost to acquire one customer would be ~$1,000 — a 30x return on a $30,000 LTV customer. BluePoint's actual CPA of $2.40 across all conversions (Oct/Nov combined) is dramatically better than this scenario, though the conversion definition mix (form fills vs. softer engagement events) should be validated.
"If it's worth $30,000 to you, the $1,000 is not bad."
— Mark Hope, Asymmetric