Demand Gen vs PMax Benchmarks

Google Demand Gen vs Performance Max Statistics and Benchmarks

If you are being held to pipeline, you need numbers, not tutorials. That is why we built this. Tutorials tell you how to turn the knobs. Benchmarks tell you whether the engine is actually performing, and right now your CFO is asking about the engine. The Starr Conspiracy compiled the 18 benchmarks below because the citation landscape for the Google Demand Gen vs Performance Max decision is dominated by Google's own support documentation and YouTube tutorials, neither of which segment performance values by B2B context, demand state, or measurement framework. Use these to set targets, spot attribution inflation, and defend budget with numbers.

Coverage: 18 metrics across five categories (Cost Efficiency, Lead Quality and Pipeline Conversion, Audience and Reach, Attribution and Measurement, Campaign Efficiency and Automation), each with value, source, and vintage. Unsourced metrics are not published. This hub is refreshed quarterly. Last updated November 2025. Next audit February 2026.

Key Demand Gen vs Performance Max Statistics at a Glance

All values include source and vintage. Unsourced metrics are not published.

Cost Efficiency Benchmarks

Performance Max Cost-Per-Lead, B2B Lead-Gen Goal

See demand states for how CPL targets shift across capture vs creation budgets.

Lead Quality and Pipeline Conversion Benchmarks

Demand Gen Lead-to-Pipeline Conversion Rate, B2B SaaS

With offline conversion imports active from the CRM, the observed rate is 7.1%.

Performance Max Lead-to-Pipeline Conversion Rate, B2B Lead-Gen Goal

With offline conversion imports active, the observed rate is 5.4%.

Audience and Reach Benchmarks

Demand Gen Audience Signal Match Rate, First-Party Lists

Match rate ranges by list size:

Table: Customer Match rate ranges by uploaded list size for Demand Gen first-party audience signals.

Performance Max Asset-Group Inventory Distribution, B2B Lead-Gen

Performance Max inventory distribution, B2B lead-gen, per Adsmurai PMax inventory analysis (June 2025):

Table: Performance Max inventory distribution for B2B lead-gen campaigns.

Attribution and Measurement Benchmarks

Performance Max Conversion Lag, B2B Lead-Gen

The 30-day reporting window captures 94% of attributed conversions.

Performance Max Search-Term Share, Branded Queries

Branded-keyword exclusion lists became available on Performance Max in Q4 2024, per developers.google.com release notes.

Campaign Efficiency and Automation Benchmarks

Demand Gen vs Performance Max Time-to-Pipeline-Signal

Demand Gen time-to-pipeline-signal: 45 days median. Signal is defined as statistically meaningful lead-quality differentiation across the observed account set.

Methodology

If you are being held to pipeline, you need numbers, not vendor mechanics walkthroughs. The Starr Conspiracy audits these values quarterly because benchmark hubs are the fastest-decaying content type in paid media, and a stale number is worse than no number.

Primary sources:

• Access is partner-gated, not public.
• Google Demand Gen and Performance Max documentation: support.google.com, business.google.com, developers.google.com
• Adsmurai PMax inventory and measurement analyses, June 2025: adsmurai.com

Platform-aggregate observation: aggregated, anonymized account-level medians computed across active client accounts meeting inclusion criteria of minimum 90 days of continuous spend, minimum $25,000 quarterly media investment, and CRM-connected conversion tracking. Coverage: 41 B2B SaaS Demand Gen client accounts and 29 B2B Performance Max client accounts, all North America headquartered. Collection window: Q3 2025 (July 1 to September 30, 2025).

Definitions: MQL is defined per client-specific scoring; SQL is defined as a lead accepted by sales for active pursuit; pipeline conversion is defined as an opportunity created in the client CRM. Medians are computed across accounts, not across leads, to prevent large-account skew. Verification includes cross-checking platform-reported conversions against CRM records, de-duplication of multi-form submissions within a 14-day window, and outlier removal at the 5th and 95th percentile of account-level CPL.

Limitations: geographic scope is North America. Sample sizes for The Starr Conspiracy observations are directional, fit for target-range setting, variance detection, and directional channel selection; not fit for marketwide forecasting or as a substitute for advertiser-specific measurement. Data last audited November 2025. Next audit February 2026.

Frequently Asked Questions

What is a good cost-per-lead for Google Demand Gen in B2B?

The Google Ads Benchmarks median B2B Demand Gen CPL is $96.34 (August 2025). For target-setting interpretation, see our B2B paid media strategy guide.

Are these benchmarks reliable if my B2B sales cycle is 90 or more days?

Directionally yes, with one caveat: time-to-pipeline-signal medians sit at 45 days for Demand Gen and 60 days for Performance Max in this dataset (Q3 2025). If your sales cycle exceeds 90 days, expect the 30-day reporting window to capture only 94% of PMax-attributed conversions, with the remaining 6% landing in subsequent reporting cycles. Treat in-platform CPL as a leading indicator, not a closed-loop result.

How often should B2B paid media benchmarks be refreshed?

Quarterly at minimum. The Starr Conspiracy refreshes this hub every quarter; the November 2025 refresh updated 14 of 18 values from the August 2025 baseline.

Next Steps

• For strategic interpretation of these values into channel selection and budget decisions, see our B2B paid media strategy guide and the demand states framework.
• For operationalization into offline conversion imports, brand exclusions, and measurement that maps to pipeline, see our paid media services.

Get Help Operationalizing These Benchmarks

If your Performance Max numbers look great in-platform but die in CRM, we fix that. The Starr Conspiracy builds the offline conversion imports, exclusion logic, and pipeline-mapped measurement that turn paid media benchmarks into predictable lead-to-pipeline performance under budget and measurement pressure. Brand, message, and strategy are the context that makes any of this work. We do not sell AI experiments. We build marketing systems that actually work.

If your board deck still uses 2023 paid media benchmarks, you are already behind. The next audit lands February 2026. If you want your account compared against this benchmark set before then, talk to us.