Run a funnel-aware PMax and Shopping audit across feed quality, asset groups, signals, and segment density.
Performance Max or Shopping spend is underperforming
Need one ranked list across feed, asset groups, search cannibalization, and budget allocation
Account-level optimization, not just a feed rewrite
Asset groups need restructuring or signal cleanup
Thin segments fragmenting Smart Bidding signal need consolidation
Not designed for
What you provide
Use Google Ads campaign, asset group, and product group views.
Bring a sample of the feed if titles, segmentation, or attributes are part of the issue.
Search term reports to detect cannibalization, and competitor Shopping title samples for Zone 1 gap analysis.
Scores your PMax and Shopping setup by funnel layer and returns a ranked optimization backlog
What you get back
A structured read of where the account is losing efficiency or missing leverage across feed, signals, structure, and budget deployment.
A ranked change list with impact framing and suggested next workflow.
BOFU/MOFU/TOFU distribution analysis with budget allocation recommendations.
Thin-segment detection with consolidation recommendations for Smart Bidding.
Zone 1 keyword gaps where competitors rank in Shopping but you don't.
Signal quality, creative gaps, and audience alignment per asset group.
Asset group structure, spend breakdown, conversion data, and a feed sample if titles or segmentation might be part of the problem.
PMax structure, Shopping segmentation, asset quality, feed leverage, search cannibalization, audience signals, and measurement risks — nothing gets skipped.
Each item tells you what to change, the expected impact, and which specialist workflow handles the execution.
Real output formats from actual workflows — structured, scored, and ready to act on.
PMAX_DIAGNOSTIC.md
Performance diagnostic
## System Health Report Feed Quality: 72/100 AI Mode Readiness: 58/100 Shopping Architecture: 81/100 PMax Architecture: 64/100 Creative Quality: 45/100 Bottleneck: Creative asset gaps are capping conversion rate across 3 asset groups. Estimated recovery: $4,200-$6,800/mo
OPTIMIZATION_BACKLOG.csv
Ranked optimization backlog
priority,issue,impact,severity,workflow 1,"Zone 1 keyword gaps — 43% of titles","+18-24% impression share",CRITICAL,Feed Agent 2,"3 asset groups share identical signals","Smart Bidding 3x faster",CRITICAL,PMax 3,"TOFU deployed before BOFU stabilized","$42/day misallocated",HIGH,PMax 4,"Thin segments (<15 products) in 4 groups","Fragmented bidding signal",HIGH,Feed Agent 5,"Missing sitelink extensions on 2 campaigns","+8-12% CTR lift",MEDIUM,Search Agent
Performance is soft and spend is leaking across multiple funnel layers. This agent runs a deep diagnostic of funnel structure (BOFU/MOFU/TOFU), feed quality against 152-point standards, asset group signals, segment density, and competitive keyword gaps — then produces a ranked optimization backlog.
“I needed 30 responsive search ad variations for a new service line. The search campaign agent generated them in about two minutes — headlines, descriptions, pinning suggestions, all following Google's best practices. Took me longer to review them than it took the agent to write them.”
— Sienna Walsh
DEPLOYMENT_TIMELINE.md
Deployment staging plan
## Phased Rollout Plan Phase 1 — BOFU (Weeks 1-2) Budget: $85/day | Target ROAS: 3.5x Gate: ROAS variance <30% for 14 days Phase 2 — MOFU (Weeks 3-5) Budget: +$35/day | Advancement: BOFU stable Gate: Funnel ratio 2-4x vs direct Phase 3 — TOFU (Weeks 6-8) Budget: +$15/day | Advancement: MOFU CPA <2x BOFU Measurement: 30-day attribution window
FUNNEL_LAYER_BREAKDOWN.md
Funnel distribution audit
## Funnel Distribution — Current vs Target BOFU: 38% ($1,900/mo) ⚠ Below target MOFU: 52% ($2,600/mo) ⚠ Above target TOFU: 10% ($500/mo) ✓ On target Target: 60-70% / 25-35% / 5-10% Issue: MOFU scaled before BOFU stabilized BOFU ROAS variance: 42% (need <30%) MOFU launched: Day 9 (need Day 14+) Funnel ROAS vs Direct ROAS: 6.2x ⚠ bleed Likely cause: checkout abandonment Check: shipping cost reveal on cart Action: Pause MOFU spend for 10 days Reallocate $1,200/mo to BOFU Re-enable MOFU after 30-conv threshold
SEGMENT_DENSITY.md
Thin segment consolidation report
## Thin Segment Report — 7 Flagged Consolidation candidates (impact: HIGH): "Winter Boots — Womens" 11 products, 3 conv "Winter Boots — Mens" 9 products, 2 conv → Merge into "Winter Boots" (20 prod, 5 conv/mo) "Planters — Indoor" 7 products, 1 conv "Planters — Outdoor" 6 products, 2 conv → Merge into "Planters" (13 prod, 3 conv/mo) Smart Bidding signal: 3-5x faster learning Estimated CPA improvement: -18% over 30 days Keep as-is (density acceptable): "Ceramic Vases" 28 prod, 12 conv/mo ✓ "Plant Stands" 22 prod, 8 conv/mo ✓
KEYWORD_GAPS.csv
Zone 1 keyword gap analysis
keyword,sv,competitors_in_z1,your_coverage,gap_tier,action "ceramic planter indoor",4800,3,NO,HIGH,"Add to title Zone 1" "drainage plant pot",2900,2,NO,HIGH,"Add to title Zone 1" "self-watering indoor pot",3200,2,NO,HIGH,"Add to title Zone 1" "plant pot with tray",1800,3,PARTIAL,MEDIUM,"Reposition to chars 1-70" "modern planter",1200,4,YES (pos 85),EXPANSION,"Duplicate to Zone 1" "succulent pot",980,1,NO,MEDIUM,"Add to description" "8 inch plant pot",560,0,NO,LOW,"Low priority" Gap summary: 3 HIGH, 3 MEDIUM, 1 LOW Est. impression share lift: +18-24%
Use next when the audit says the feed itself is the bottleneck.
Use next when asset groups need a stronger angle map and creative brief.
Use when PMax diagnosis reveals Demand Gen or YouTube creative needs attention.
Deep diagnostic of PMax and Shopping setups across funnel layers, feed quality, asset group signals, segment density, and competitive gaps — returns a ranked optimization backlog.