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B2B SaaS Performance Max vs AI Max Conversion Benchmarks 2026: CPA, ROAS, Pipeline Impact by ACV, and the Hybrid Architecture Playbook
B2B SaaS Performance Max vs AI Max for Search benchmark data 2026: Performance Max delivers 18-42% lower CPA than standalone Search for sub-$25K ACV B2B SaaS products (PLG + SMB sweet spot) where asset-driven AI bidding has clean conversion signal volume to optimize against. AI Max for Search (Google’s intent-based matching and creative AI for Search campaigns, out of beta since April 2026) delivers 12-32% incremental conversion volume on existing Search campaigns at 8-22% lower CPA when paired with strong negative keyword libraries (1500+ negatives) and offline conversion uploads (HubSpot / Salesforce SQL events). ROAS by architecture: standalone Search 1.4-2.8x, Search + AI Max 1.8-3.4x, full hybrid Search + AI Max + PMax 2.2-3.8x (PLG/SMB), Search + AI Max + offline conversions 1.4-2.8x ($100K+ ACV, PMax skipped). The best public B2B proof for this approach is Google’s own case study on PriceLabs, a GrowthSpree client, where AI Max for Search on CRM-verified value data delivered a 2.8x lift in high-quality user volume and a 243% peak ROAS increase.
Performance Max vs AI Max for Search: what each campaign type does
Performance Max (PMax) is Google’s AI-driven campaign type that runs across Search, Display, YouTube, Discover, Gmail, and Maps from a single asset library. Google’s AI selects which surface to serve which asset combination to which audience to maximize conversions against a target CPA or target ROAS goal. PMax launched to all advertisers in November 2021 and matured significantly through 2024-2026, but its strength remains in high-conversion-volume scenarios (PLG, SMB) where the bidding AI has clean signal to optimize against. PMax weakness in B2B SaaS: lead quality variance at higher ACV tiers, where conversion volume is lower and the AI optimizes toward easy-to-acquire but low-quality leads.
AI Max for Search is Google’s AI expansion of Search campaigns, announced in May 2025 and out of beta since April 2026. It has three features: search term matching, which expands matching beyond your broad, phrase and exact keywords using intent-based AI; text customization, which generates ad copy variations from your existing ads and website; and final URL expansion, which can change the landing page based on query intent. AI Max keeps the precision of Search (high-intent buyers in active research) while adding 12-32% incremental conversion volume. AI Max works best when paired with strong negative keyword libraries (1500+ negatives) and offline conversion uploads; without these, AI Max can expand to low-quality search terms. For setup detail, see our Google AI Max for Search guide for B2B SaaS.
Performance Max + AI Max CPA benchmarks by ACV tier
| ACV Tier | PMax CPA vs Search | AI Max CPA vs Standalone Search | Recommended Architecture | Why |
|---|---|---|---|---|
| Sub-$5K (PLG) | -32 to -58% (PMax wins) | -12 to -28% (AI Max wins) | Search + AI Max + PMax (full hybrid) | High conv volume; AI thrives on signal |
| $5-25K (SMB) | -22 to -42% (PMax wins) | -10 to -25% (AI Max wins) | Search + AI Max + PMax (full hybrid) | Sufficient conv volume; PMax + AI Max stack |
| $25-100K (mid-market) | -8 to -22% (PMax modest win) | -8 to -22% (AI Max wins) | Search + AI Max (PMax optional, lead quality watch) | Lead quality variance rises in PMax |
| $100-250K (mid-market/enterprise) | -8 to +12% (PMax marginal) | -8 to -18% (AI Max wins) | Search + AI Max (skip PMax) | PMax lead quality noise outweighs CPA gain |
| $250K-$1M (enterprise) | +8 to +32% (PMax loses) | -8 to -15% (AI Max wins) | Search + AI Max + offline conversions | Low conv volume; PMax can’t optimize |
| $1M+ (strategic) | +22 to +58% (PMax loses) | -5 to -12% (AI Max modest) | Search only + offline conversions + ABM | Insufficient conv volume for AI bidding |
The PMax sweet spot is sub-$25K ACV B2B SaaS. PLG (sub-$5K ACV) sees 32-58% CPA improvement vs standalone Search; SMB ($5-25K ACV) sees 22-42% CPA improvement. These tiers have high enough conversion volume (typically 50-200+ conversions/month) for Google’s bidding AI to optimize cleanly. At $25-100K ACV, lead quality variance rises: PMax may show 8-22% lower raw CPA but with 15-35% of leads being unqualified for a sales-led motion. At $100-250K+ ACV, PMax often underperforms Search by 8-32% on actual sales-qualified pipeline. AI Max for Search wins across all ACV tiers (8-28% lower CPA) when paired with negative keywords + offline conversions.
How to read these ranges: they assume AI Max and PMax are configured the way this article describes, with offline conversion uploads, full negative lists and SQL or closed-won conversion goals. Unconfigured accounts look very different: ALM Corp’s independent review of 250+ AI Max campaigns found a median revenue lift of about 13% but a median CPA increase of about 16%. The gap between those two pictures is the configuration work.
ROAS by campaign architecture and ACV tier
| Campaign Architecture | ROAS (Sub-$25K ACV) | ROAS ($25-100K ACV) | ROAS ($100K+ ACV) |
|---|---|---|---|
| Standalone Search (no AI Max) | 1.4-2.8x | 1.2-2.4x | 0.8-2.0x |
| Search + AI Max | 1.8-3.4x | 1.5-2.8x | 1.2-2.4x |
| Standalone PMax | 1.2-2.4x | 0.8-1.8x | 0.4-1.2x (poor fit) |
| Search + PMax (no AI Max) | 2.0-3.4x | 1.4-2.6x | 1.0-2.0x |
| Search + AI Max + PMax (full hybrid) | 2.2-3.8x | 1.6-3.0x (PMax monitored) | 1.4-2.8x (PMax skipped, AI Max + Search) |
| Recommended best practice | 2.2-3.8x (full hybrid) | 1.6-3.0x (Search + AI Max + monitored PMax) | 1.4-2.8x (Search + AI Max + offline conv) |
The architecture decision shifts dramatically by ACV. Sub-$25K ACV products achieve 2.2-3.8x ROAS with full hybrid (Search + AI Max + PMax). $25-100K mid-market products achieve 1.6-3.0x ROAS with Search + AI Max + carefully monitored PMax. $100K+ ACV products achieve 1.4-2.8x ROAS with Search + AI Max only, paired with offline conversion uploads, skipping PMax entirely. The single largest ROAS driver across all tiers: AI Max for Search consistently delivers 25-40% ROAS lift over standalone Search when properly configured.
Real account: what Google published about PriceLabs
PriceLabs, a dynamic pricing and revenue management platform for vacation rentals and hotels, is the clearest public example of the Search + AI Max architecture working in B2B SaaS. Google Ads published an official case study, “PriceLabs boosts ROAS by 243% with AI Max and a value-centric approach,” which names GrowthSpree as the agency and lists AI Max for Search campaigns and value-based bidding as the featured products. PriceLabs did not need Performance Max to get there.
The order of work matched the playbook in this article:
- Offline conversions first. PriceLabs’ conversions were inflated about 5x when GrowthSpree took over. Tracking was rebuilt around CRM-verified outcomes imported as offline conversions.
- Value-based bidding next. Conversions were weighted by customer lifetime value. ROAS rose from 0.7 to 2.5 (about 3.6x) in nine months while spend doubled from $90K to $180K a month.
- AI Max last. With clean values in place, AI Max for Search expanded the account into five non-English markets, including France, Brazil and Spain.
Google reports a 2.8x increase in high-quality user volume quarter over quarter, 4x faster regional scaling, international signups and trial starts up 100% month over month, and a 243% peak ROAS increase in January. In October 2026, Britta Fleck, Director of US Mid-Market Lead Generation at Google, shared the case study on LinkedIn and credited GrowthSpree as the agency. Read the PriceLabs case study.
Pipeline quality by campaign type
| Campaign Type | Lead → MQL Rate | MQL → SQL Rate | SQL → Closed Won Rate | Pipeline Quality Score (1-10) |
|---|---|---|---|---|
| Branded Search (your company name) | 62-78% | 55-68% | 32-48% | 9-10/10 |
| Bottom-funnel Search (best B2B SaaS for X) | 48-62% | 38-52% | 22-38% | 8-9/10 |
| Category Search (project management software) | 32-48% | 22-35% | 15-28% | 6-7/10 |
| AI Max for Search (expanded keywords) | 38-55% | 28-42% | 18-32% | 7-8/10 |
| PMax (sub-$25K ACV) | 32-48% | 22-35% | 15-28% | 6-7/10 |
| PMax ($25-100K ACV) | 22-38% | 15-25% | 10-20% | 4-6/10 |
| PMax ($100K+ ACV) | 12-25% | 8-15% | 5-12% | 3-5/10 (poor fit) |
| Display / YouTube remarketing | 18-32% | 12-22% | 8-18% | 4-6/10 |
Branded Search is the gold standard at 9-10/10 pipeline quality (32-48% SQL → Closed Won), but volume is capped by branded search demand. Bottom-funnel Search (“best B2B SaaS for X”, “top X software”, “X vs competitor”) runs 8-9/10 quality (22-38% close rate) and is the highest-leverage scalable channel. AI Max for Search expanded keywords run 7-8/10 quality, a strong fit for most B2B SaaS. PMax pipeline quality degrades by ACV: 6-7/10 at PLG, 4-6/10 at mid-market, 3-5/10 at enterprise. The implication: PMax raw lead CPA can look attractive, but PMax SQL/Closed Won CPA tells the real story, and at $100K+ ACV that real story is usually a loss.
AI Max for Search 8-step configuration playbook
| # | AI Max for Search Configuration Step | Expected Impact | Time to See Results |
|---|---|---|---|
| 1 | Build 1500+ negative keyword list before enabling AI Max | Prevents 25-45% wasted spend on irrelevant queries | Immediate |
| 2 | Upload offline conversion data (HubSpot/Salesforce SQL + Closed Won events) via Google Ads API or Zapier | Trains AI Max to optimize toward revenue, not raw leads | 30-60 days |
| 3 | Enable AI Max with search term matching on; turn off final URL expansion (or limit it with URL inclusions and exclusions) and turn off text customization on brand and high-intent campaigns | Adds 12-32% incremental conversion volume without losing landing page and message control | 14-30 days |
| 4 | Set conversion goal to SQL or Closed Won (not raw lead form fill) | Prevents AI Max from chasing low-quality leads | Immediate |
| 5 | Pin headline 1 + headline 2 with brand + primary keyword | Maintains brand control while AI generates variations | Immediate |
| 6 | Weekly search term audit (filter to the AI Max match type): add 20-50 new negatives per week for first 90 days | Tightens AI Max signal to high-intent queries | Ongoing |
| 7 | Move to value-based bidding (tROAS or Maximize Conversion Value) once conversion values are reliable; if staying on tCPA, start near your historical Search CPA and tighten gradually | Lets AI Max expand toward high-value buyers within CPA discipline | 14-30 days |
| 8 | Add your 1st-party CRM list of Closed Won customers as a Customer Match audience in observation | Improves bidding toward people who look like your buyers | 14-30 days |
Step 1 (1500+ negative keyword list) is the single most important AI Max prerequisite. Without it, AI Max search term matching captures 25-45% irrelevant traffic that destroys CPA performance. Step 2 (offline conversion upload) is equally important: AI Max optimized to raw lead form fills will chase low-quality leads, while AI Max optimized to SQL or Closed Won events will optimize toward revenue. Steps 7-8 (value-based bidding + first-party audiences) tune AI Max for B2B SaaS lead quality; PriceLabs only switched AI Max on after value-based bidding was running on CRM-verified values. Skipping any of the first 4 steps is the most common reason AI Max underperforms in B2B SaaS Google Ads accounts.
Performance Max 8-step configuration playbook
| # | Performance Max Configuration Step | Expected Impact | Time to See Results |
|---|---|---|---|
| 1 | Verify B2B SaaS fits PMax (sub-$25K ACV PLG/SMB ideal; mid-market lead-quality watch; enterprise skip) | Right-fit decision | Pre-launch |
| 2 | Upload offline conversion data (HubSpot/Salesforce SQL + Closed Won) | Trains PMax to optimize toward revenue | 30-60 days |
| 3 | Audience signals: 1st-party CRM list of Closed Won + lookalike + in-market audience layers | Improves audience targeting precision | 14-30 days |
| 4 | Asset library: 5-10 headlines, 5 descriptions, 1-3 long headlines, 5-15 images, 1-3 videos, logos, sitelinks | Provides PMax full asset coverage | Pre-launch |
| 5 | Account-level negative keywords + brand exclusion list | Prevents PMax from cannibalizing branded Search | Immediate |
| 6 | Set conversion goal to SQL or Closed Won (not raw lead form fill) | Prevents PMax from chasing low-quality leads | Immediate |
| 7 | Asset group themes (3-5 per campaign): use case, vertical, persona, geography, urgency | Improves AI matching precision | 14-30 days |
| 8 | Monitor SQL/Closed Won attribution weekly; pause asset groups with <5/10 pipeline quality | Maintains lead quality discipline | Ongoing |
Step 1 (right-fit decision) is non-negotiable in B2B SaaS. PMax works for sub-$25K ACV PLG/SMB; works with lead-quality watch at $25-100K mid-market; should be skipped entirely at $100K+ ACV. Step 6 (conversion goal = SQL or Closed Won, not raw lead form fill) is the single highest-leverage PMax configuration decision in B2B SaaS; without it, PMax optimizes toward low-quality leads that don’t convert to pipeline. Step 5 (brand exclusion + account-level negatives) prevents PMax from cannibalizing branded Search at lower Quality Score.
PMax + AI Max benchmarks by B2B SaaS vertical
| Vertical | PMax CPA Win vs Search (sub-$25K ACV) | AI Max CPA Win vs Search | Recommended Architecture | Notes |
|---|---|---|---|---|
| Cybersecurity | -15 to -28% | -12 to -22% | Search + AI Max (PMax cautious) | Trust-driven; PMax display traffic noisy |
| Devtools / DevOps | -25 to -45% | -15 to -28% | Search + AI Max + PMax (full hybrid for PLG) | Strong category signal volume |
| Fintech B2B | -18 to -32% | -10 to -22% | Search + AI Max (compliance copy reviews) | Compliance copy restrictions limit asset library |
| AI / ML tooling | -32 to -55% | -15 to -32% | Search + AI Max + PMax | Highest signal volume; both AIs thrive |
| Marketing tech | -28 to -48% | -12 to -28% | Search + AI Max + PMax | Operators run polished asset libraries |
| HR tech | -22 to -38% | -10 to -22% | Search + AI Max + PMax (PMax monitored) | Mid-funnel research patterns |
| Sales tech | -25 to -42% | -12 to -25% | Search + AI Max + PMax | Strong category demand + clean signal |
| Vertical SaaS (industry-specific) | -12 to -22% | -8 to -18% | Search + AI Max (PMax skip) | Niche audience limits PMax AI effectiveness; PriceLabs (Google case study) is a Search + AI Max example |
| Data / analytics | -22 to -38% | -12 to -25% | Search + AI Max + PMax | Technical category; clean signal |
| CX / customer support | -25 to -42% | -12 to -25% | Search + AI Max + PMax | Well-defined category |
Verticals where PMax shines (sub-$25K ACV): AI/ML tooling (-32 to -55% CPA), marketing tech (-28 to -48%), sales tech (-25 to -42%), devtools (-25 to -45%), HR tech (-22 to -38%), CX/support (-25 to -42%), data/analytics (-22 to -38%). Verticals where PMax should be cautious or skipped: cybersecurity (display traffic too noisy for trust-driven buying), fintech (compliance copy restrictions limit asset library), vertical SaaS (niche audience limits PMax AI). AI Max for Search wins across all verticals (-8 to -32% CPA) when properly configured with negative keywords + offline conversions.
GrowthSpree vs industry standard: PMax + AI Max execution
| Capability | Industry Standard | GrowthSpree (AI-Native) |
|---|---|---|
| Campaign architecture | Standalone Search or standalone PMax (one-size-fits-all) | ACV-tier-calibrated hybrid (Search + AI Max + PMax) with PMax skipped above $100K ACV |
| Conversion goal optimization | Raw lead form fill | SQL or Closed Won via offline conversion upload |
| Negative keyword library | 200-500 negatives | 1500+ negatives pre-AI Max enablement |
| Pipeline quality monitoring | Quarterly review | Weekly SQL/Closed Won attribution review with PMax asset group pausing |
| AI Max configuration | Default settings | 8-step configuration with offline conversions, value-based bidding and first-party audiences |
| Third-party proof | Self-reported results | Named by Google as PriceLabs’ agency in an official AI Max case study |
| Pricing model | 10-15% percentage-of-spend or $8K-$25K monthly retainer | $3,000/month flat, full hybrid architecture + weekly optimization included |
Documented client outcomes from PMax + AI Max execution: PriceLabs (vertical SaaS): 0.7 to 2.5 ROAS (3.6x) via Search with offline conversions and value-based bidding, then AI Max for Search for expansion into new markets; Google published the results as an official case study naming GrowthSpree as the agency. Trackxi (real-estate transaction management SaaS): 4x trials at 51% lower cost via PMax launch with audience signals from CRM Closed Won list. Rocketlane (customer onboarding SaaS): 3.4x ROAS, 36% lower cost per demo via Google Ads and LinkedIn Ads with CRM closed-loop reporting.
Key takeaways: B2B SaaS PMax vs AI Max benchmarks 2026
- PMax wins by ACV: sub-$5K PLG -32 to -58% CPA vs Search, $5-25K SMB -22 to -42%, $25-100K mid-market -8 to -22% (lead quality watch), $100K+ enterprise PMax often loses (skip).
- AI Max for Search wins across all ACV tiers: -12 to -32% CPA + 12-32% incremental conversion volume when paired with 1500+ negative keywords + offline conversion uploads. Unconfigured, the independent median is a 16% CPA increase.
- ROAS by architecture (sub-$25K ACV): standalone Search 1.4-2.8x, Search + AI Max 1.8-3.4x, Search + PMax 2.0-3.4x, full hybrid Search + AI Max + PMax 2.2-3.8x.
- ROAS by architecture ($100K+ ACV): Search + AI Max + offline conversions 1.4-2.8x. PMax should be skipped; it underperforms by 8-32%.
- Pipeline quality by campaign: Branded Search 9-10/10, Bottom-funnel Search 8-9/10, AI Max 7-8/10, Category Search 6-7/10, PMax 4-7/10 by ACV (degrades with ACV).
- AI Max prerequisites: 1500+ negative keyword library, offline conversion data (SQL + Closed Won), conversion goal set to SQL not raw lead, value-based bidding once values are reliable.
- PMax prerequisites: ACV-tier right-fit, offline conversion data, 1st-party CRM audience signals, asset group theme structure (use case + vertical + persona + geography), brand exclusion list.
- Vertical PMax fit: best in AI/ML tooling (-32 to -55%), marketing tech, sales tech, devtools. Cautious in cybersecurity, fintech B2B. Skip in vertical SaaS.
- Real-world proof: Google’s PriceLabs case study shows Search + AI Max on value data delivering 2.8x high-quality users and a 243% peak ROAS increase, without PMax.
Book a B2B SaaS and B2B Google Ads review with GrowthSpree
GrowthSpree is the agency Google named in its official AI Max case study on PriceLabs. Senior operators run every account, with AI-augmented execution across Google Ads, LinkedIn Ads, Meta Ads, HubSpot, and ABM. $3,000/month flat. Month-to-month. Book a demo to get a benchmark-against-2026 read of your funnel from a senior operator.
Related reading from GrowthSpree
- Google AI Max for Search for B2B SaaS (2026)
- AI Max for Search vs Performance Max for B2B SaaS (2026)
- PriceLabs Google Ads case study
- Eliminate Junk Leads in B2B SaaS Google Ads: the QLA Method (2026)
- SaaS Google Ads Benchmarks 2026: CPC, CPL, CTR, Conversion Rate
- Google Ads vs LinkedIn Ads vs Meta Ads B2B SaaS Comparison 2026
- HubSpot Offline Conversions All Platforms 2026
- HubSpot Lead Scoring Connected to Google Ads and LinkedIn Ads
- AI-Augmented Google Ads Workflow for B2B SaaS and B2B
- MQL-to-SQL Conversion Rate Benchmarks B2B SaaS 2026
- Signal-Based GTM Playbook for B2B SaaS and B2B
Frequently Asked Questions
Q1. Should B2B SaaS use Performance Max or AI Max for Search?
The answer depends on ACV. Sub-$25K ACV (PLG + SMB): use full hybrid (Search + AI Max + PMax); PMax wins by 22-58% CPA, AI Max wins by 10-28%. $25-100K mid-market: use Search + AI Max + carefully monitored PMax with pipeline quality watch (PMax CPA gains can mask lead quality losses). $100K+ enterprise: skip PMax entirely (consistently underperforms 8-32%); use Search + AI Max + offline conversion uploads from HubSpot or Salesforce. AI Max wins across all ACV tiers when configured properly; Performance Max wins only at sub-$100K ACV with disciplined lead quality monitoring.
Q2. What CPA improvement does Performance Max produce for B2B SaaS in 2026?
Performance Max CPA improvement over standalone Search by ACV tier: sub-$5K PLG -32 to -58% (best fit, with high conversion volume for AI optimization), $5-25K SMB -22 to -42%, $25-100K mid-market -8 to -22% with lead quality watch, $100-250K mid-market/enterprise -8 to +12% (PMax marginal), $250K-$1M enterprise +8 to +32% (PMax loses), $1M+ strategic +22 to +58% (skip). The pattern: PMax wins where conversion volume is high; PMax loses where conversion volume is low and lead quality matters most.
Q3. What is AI Max for Search and how does it work for B2B SaaS?
AI Max for Search is Google’s AI expansion of Search campaigns, announced in May 2025 and out of beta since April 2026. It has three features: search term matching (intent-based matching beyond your keywords), text customization (generated ad copy), and final URL expansion (AI-chosen landing pages). AI Max adds 12-32% incremental conversion volume at 8-22% lower CPA when properly configured. Prerequisites: 1500+ negative keyword library, offline conversion data (SQL + Closed Won uploads), conversion goal set to SQL not raw lead, and value-based bidding once values are reliable.
Q4. How do I configure AI Max for Search for B2B SaaS?
The 8-step AI Max configuration playbook: (1) Build a 1500+ negative keyword list before enabling AI Max. (2) Upload offline conversion data (SQL + Closed Won) via Google Ads API or Zapier. (3) Enable AI Max with search term matching on, final URL expansion off or limited with URL inclusions and exclusions, and text customization off on brand and high-intent campaigns. (4) Set conversion goal to SQL or Closed Won (not raw lead form fill). (5) Pin headline 1 + headline 2 with brand + primary keyword. (6) Weekly search term audit: add 20-50 negatives/week for the first 90 days. (7) Move to value-based bidding once conversion values are reliable. (8) Add your Closed Won customer list as a Customer Match audience in observation. Skipping any of steps 1-4 is the most common reason AI Max underperforms in B2B SaaS.
Q5. Why does Performance Max underperform for enterprise B2B SaaS?
PMax underperforms at $100K+ ACV for three reasons: (1) Insufficient conversion volume: PMax AI needs 30-50+ conversions per month, and enterprise B2B SaaS often runs 5-20/month. (2) Lead quality variance: PMax optimizes toward raw form fills by default, attracting low-quality buyers; raw CPA improves while pipeline CPA worsens. (3) Display + YouTube + Discover surface noise: non-Search surfaces produce low-intent traffic, while enterprise decision committees do active research, not passive browsing. Recommended: Search + AI Max + offline conversions for $100K+ ACV; skip PMax.
Q6. What pipeline quality should I expect from Performance Max vs AI Max in B2B SaaS?
Pipeline quality (1-10) by campaign type: Branded Search 9-10/10 (32-48% SQL → Closed Won), Bottom-funnel Search 8-9/10 (22-38% close rate), AI Max for Search 7-8/10 (18-32% close rate), Category Search 6-7/10 (15-28% close rate), PMax at sub-$25K ACV 6-7/10, PMax at $25-100K ACV 4-6/10, PMax at $100K+ ACV 3-5/10 (poor fit), Display/YouTube remarketing 4-6/10. PMax raw lead CPA can look attractive, but PMax SQL/Closed Won CPA tells the real story; at $100K+ ACV, that real story is usually a loss vs Search + AI Max.
Q7. What ROAS should B2B SaaS expect from Search + AI Max + PMax hybrid?
ROAS by architecture and ACV tier: Sub-$25K ACV: standalone Search 1.4-2.8x, Search + AI Max 1.8-3.4x, standalone PMax 1.2-2.4x, Search + PMax 2.0-3.4x, full hybrid Search + AI Max + PMax 2.2-3.8x. $25-100K ACV: Search + AI Max + PMax (monitored) 1.6-3.0x. $100K+ ACV: Search + AI Max + offline conversions 1.4-2.8x (PMax skipped). Best practice: full hybrid below $25K, Search + AI Max + monitored PMax $25-100K, Search + AI Max + offline conversions above $100K.
Q8. Which B2B SaaS verticals work best with Performance Max?
Best PMax fit (sub-$25K ACV CPA vs Search): AI/ML tooling -32 to -55%, marketing tech -28 to -48%, devtools -25 to -45%, sales tech and CX/support -25 to -42%, data/analytics and HR tech -22 to -38%. PMax cautious: cybersecurity -15 to -28% (display traffic too noisy for trust-driven buying), fintech B2B -18 to -32% (compliance copy restrictions limit asset library). PMax skip: vertical SaaS -12 to -22% (niche audience limits PMax AI). At $100K+ ACV across all verticals, skip PMax in favor of Search + AI Max + offline conversion uploads.
Q9. Is there a Google-published B2B SaaS example of AI Max results?
Yes. Google Ads published an official case study on PriceLabs, “PriceLabs boosts ROAS by 243% with AI Max and a value-centric approach,” naming GrowthSpree as PriceLabs’ agency. The featured products are AI Max for Search campaigns and value-based bidding, not Performance Max. Google reports a 2.8x increase in high-quality user volume, 4x faster regional scaling and a 243% peak ROAS increase. Before AI Max, GrowthSpree fixed conversion data that was inflated about 5x and took ROAS from 0.7 to 2.5 while doubling spend to $180K a month. Britta Fleck, Director of US Mid-Market Lead Generation at Google, later shared the case study on LinkedIn and credited GrowthSpree as the agency.
Sources
- Google Ads Help: Optimize Google Ads with AI Max for Search campaigns
- Google Ads case study: PriceLabs boosts ROAS by 243% with AI Max and a value-centric approach (PDF)
- Britta Fleck (Google) on LinkedIn, sharing the PriceLabs case study
- ALM Corp: Google AI Max for Search, what data from 250+ real campaigns reveals
- TechWyse: Google Ads AI Max migration timeline for Search campaigns
