Path 1 · DIY
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 acquired and built 5 e-commerce brands. Each has its own Google Ads account managed differently — some on PMax, some on Shopping, one still on Smart Campaigns. Your ops manager 'manages ads' by adjusting budgets based on gut feeling. There's no cross-brand analytics, no standard campaign structure, no SOPs. One brand had a terrible month and you spent 3 hours trying to diagnose why. You don't need a course. You need an operating system you can hand to your team.
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.
3-5
With standardized SOPs and campaign templates
5-10 days
Using standard campaign architecture and audit framework
15-30%
From inconsistent tracking, wrong campaign types, no optimization
2.5-3.5x blended
Varies by category — kitchen tools vs pet supplies vs baby
Some brands on PMax, some on Shopping, one still on Smart Campaigns that Google set up by default. No two brands are managed the same way. When you try to compare performance, you're comparing apples to oranges across different campaign types, bid strategies, and tracking setups.
The tracking might be wrong. The attribution might be different. One brand might be counting view-through conversions and the other isn't. You genuinely don't know which brands are profitable on Google Ads because there's no measurement standard.
They spend 10-15 minutes per brand per day on ads. No diagnostic framework, no optimization checklist, no escalation protocol. When performance drops, the response is to lower the budget or raise it. That's not management — it's guessing.
When one brand tanks, you dig through the account yourself. Different naming conventions, different conversion actions, different campaign structures. It takes 3 hours to figure out what went wrong — time you should spend on acquisitions and strategy.
“I run 5 e-commerce brands and managing Google Ads for all of them is a nightmare. How do agencies handle this?”Reddit r/PPC
“At what point do you hire a dedicated PPC person vs. using an agency?”Reddit r/ecommerce
“How do you standardize campaign structure across multiple brands?”Reddit r/PPC
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 Standardization: 5 different structures (PMax, Shopping, Smart — random). Diagnosis Time: 3 hours per brand to find the problem.
What changed
Standardized tracking across the 5 brands, centralized Shopping feed management, and migrated to a portfolio-level agentic system with per-brand dashboards.
Outcome
Campaign Standardization → One standard architecture deployed across all brands. Diagnosis Time → 15 minutes with standard audit checklist.
Each product builds on the previous one. Start where you are, progress at your own pace.
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.
You didn't build a multi-brand portfolio to become a full-time PPC analyst. The AI Agentic System gives you the AI-driven automation and diagnostics your team needs to manage every brand consistently — so you can focus on acquisitions and strategy.
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.
Operator profile
Starting point
One brand showed 4.2x ROAS, another 0.9x — neither verified; ops manager spent 10-15 min/day guessing budgets across accounts.
What changed
Deployed the AI Agentic System as the portfolio operating layer, built one standard PMax template, and trained the ops manager on the diagnostic SOP with clear escalation triggers.
Outcome
Reclaimed 19% of cannibalized spend across the portfolio, cut per-brand audit time to 12 minutes, and identified two underperforming brands flagged for divestiture.
Operator profile
Starting point
New acquisition took 3 weeks to onboard, brought random campaign structure, and didn't match portfolio tracking — delaying quarterly reporting by 10 days.
What changed
Templatized the onboarding playbook using the AI Agentic System, cloned the standard PMax structure, and wired the new brand into the portfolio dashboard in one sprint.
Outcome
Onboarding dropped from 3 weeks to 6 days, QBR reporting stayed on schedule, and the acquired brand hit portfolio-average ROAS of 2.9x within one quarter.
AI-powered brief generation that standardizes your creative production workflow across brands. Brief your freelancers and agencies with the same consistent inputs — so brand 4 looks as good as brand 1.
We analyzed 500+ product feeds. 73% had near-identical titles across products. Google notices — and it's costing you impressions, clicks, and money.
Ruslan GalbaAlready running $50K+/mo in ad spend? See Premium Advisory