Install the system yourself
Fix your feed, kill PMax branded-search cannibalization, and instrument profit-per-SKU using our playbooks. For Shopify and DTC operators who like systems and have time to implement them.
You inherited this Google Ads account. The agency charges $6K/mo and set up one PMax campaign for 1,200 products across 10+ categories. You asked for category-specific campaigns and they said 'PMax handles segmentation automatically.' You don't have enough Google Ads knowledge to know if they're right or lying. Your VP is threatening to hire a new agency OR bring it in-house with you managing it. And you need to prove whether these ads are driving incremental revenue or just capturing demand you'd get organically. No pressure.
Pick how you want to scale your e-commerce ad ops
Fix your feed, kill PMax branded-search cannibalization, and instrument profit-per-SKU using our playbooks. For Shopify and DTC operators who like systems and have time to implement them.
0 per major category
Not 1 campaign for 1,200 products across 10+ categories
8-15% of spend
$6K/mo on $80K spend = 7.5% (normal range, but results matter)
20-40%
Compared to organic-only baseline in geo tests
3.5-5.0x
Depends on margin structure and brand awareness
Your agency set up a single PMax campaign for your entire catalog. 1,200 SKUs, 10+ product categories, one campaign. You asked about category-specific segmentation and they said 'PMax handles it automatically.' You suspect this is lazy, but you don't have enough Google Ads expertise to prove it.
Your VP wants to know: are Google Ads actually driving new customers, or just capturing people who would have bought anyway through organic or direct? You need an incrementality test but don't know how to design one — and your agency deflects every time you ask.
Your VP wants a recommendation: keep the $6K/mo agency, hire a new one, or bring Google Ads management in-house. Each option has risks. You need the technical knowledge to make the right call — and you need it fast because this is your first big strategic decision back from leave.
The current 2.8x blended ROAS might be fine — or it might be terrible. You don't know because you can't separate branded from non-branded, category from category, or new from returning customers. The 4x target might be realistic or it might be a fantasy. You need the data to answer that.
“We hired a PPC agency — they set up one campaign for 1,000 products across 10+ categories. Is this normal or lazy?”Reddit r/PPC
“How do you prove Google Ads are driving INCREMENTAL revenue, not just capturing demand?”Reddit r/ecommerce
“My VP wants to see a clear ROI report but our attribution is a mess”Reddit r/marketing
These are representative outcome patterns we've seen from operators implementing these systems. Details are anonymized; numbers are realistic for the vertical.
Operator profile
Starting point
Campaign Structure: 1 PMax campaign for 1,200 products (agency-built). Blended ROAS: 2.8x (can't separate branded, non-branded, or categories).
What changed
Implemented incrementality testing across Google + Meta, built a QBR-ready attribution model, and rebuilt PMax with exclusion lists to remove inflated branded credit.
Outcome
Each product builds on the previous one. Start where you are, progress at your own pace.
Category-specific landing pages that separate 1,200 SKUs into focused post-click experiences — and give you the per-category ROAS data your VP needs to approve a budget increase.
Every system on this page is what we install for our own clients. If you'd rather have us run it with you — or for you — these are the paths.
Agency or in-house? Keep the current setup or restructure? Your VP wants a recommendation and you need the technical knowledge to back it up. Start with the Diagnostic Toolkit to audit what your agency actually built — then you'll know exactly what to recommend.
Or book a free 15-min audit if you're not sure which path fits.
© 2026 Tegra
hello@tegra.co60-min strategy session — feed audit, PMax structure, incrementality testing, and bid architecture. Best when you're stuck at a ROAS ceiling or scaling past $25K/mo.
Full-funnel execution across Meta + Google + email — feed ops, PMax campaigns, creative production, and pre-sale pages. For brands at $25K+/mo who want execution off their plate.
Campaign Structure → Category-segmented campaigns with proper asset groups. Blended ROAS → 4x+ with category-level optimization and brand exclusions.
Operator profile
Starting point
Agency deflected every incrementality question, couldn't explain why one PMax covered 1,200 SKUs, and reporting lacked category-level ROAS.
What changed
Ran a full account audit using the AI Agentic System's diagnostic tools, executed a geo-based incrementality test, and used the findings to renegotiate agency scope with clear deliverables.
Outcome
Geo test proved 26% incremental lift from Google, agency scope was restructured with category-specific SLAs, and the manager presented results that unlocked a $40K/mo budget increase.
Operator profile
Starting point
VP demanded a 4x blended ROAS target from a 2.8x baseline; manager had agency knowledge but no Google Ads depth to evaluate or execute.
What changed
Used the AI Agentic System as the in-house blueprint, split PMax by category with brand exclusions, and built a monthly QBR dashboard separating branded/non-branded/new-customer ROAS.
Outcome
Blended ROAS climbed to 3.9x within two quarters, the $6K/mo agency fee was redirected to a junior in-house analyst, and the manager earned VP's sign-off on a larger growth budget.
Use our creative brief system to evaluate what your current agency is producing and brief replacements that follow Direct Response principles. Know if you're getting $6K/mo worth of creative strategy.
We analyzed 500+ product feeds. 73% had near-identical titles across products. Google notices — and it's costing you impressions, clicks, and money.
Already running $50K+/mo in ad spend? See Premium Advisory