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 manage 450 SKUs with complex attributes — dimensions, materials, colors, room type. Your customers take 2-6 weeks to decide on a sofa. Google claims credit for the first click and ignores the 3 weeks of Pinterest browsing and review reading that followed. Meanwhile, PMax pushes your budget to Display and YouTube placements where nobody impulse-buys a dining table. You need attribution and campaign architecture built for high-AOV consideration purchases.
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
Higher for generic terms, lower for specific styles
0.8-2.0%
Lower than general e-com due to consideration cycle
2-6 weeks
For $500+ furniture purchases
0x
Must account for returns and damage in transit
Google pushes PMax budget to Display and YouTube — channels where nobody impulse-buys a walnut dining table. You're paying for banner impressions that will never convert for high-AOV furniture. PMax doesn't understand that your products require research, not impulse clicks.
A customer searches 'walnut dining table,' browses your site, reads Pinterest for 3 weeks, checks reviews on Houzz, then converts. Google claims credit for that first click. But was it the ad, or the 3 weeks of organic research? You genuinely can't tell if your $10K/mo on Google is driving incremental sales.
You're bidding on 'modern coffee table' against companies spending millions per month. Your CPCs are $3-5 for product-type searches. The winning strategy isn't outbidding them — it's outflanking them with feed segmentation and long-tail specificity.
Dimensions, materials, colors, room type, style — your products have more attributes than most e-commerce categories. Optimizing titles and descriptions for 450 products is overwhelming. But generic titles mean Google can't match your products to the right searches.
“How do you compete with Wayfair in Google Shopping when they have unlimited budget?”Reddit r/ecommerce
“Our customers take 2-6 weeks to decide on furniture. How do we even measure Google Ads ROI?”Reddit r/PPC
“Pulled our PMax placement report. 58% of impressions on Display. We sell $1,200 sofas. I don't think anyone impulse-buys a sofa from a banner.”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
Google Ads ROAS: 1.8x (below break-even at 40% margin). PMax Budget Allocation: 40%+ wasted on Display/YouTube impressions.
What changed
Installed multi-touch attribution across Meta + Google, excluded Display placements from PMax, and switched to value-based bidding using true AOV per SKU cluster.
Outcome
Google Ads ROAS → 3x+ with proper feed segmentation and PMax structure. PMax Budget Allocation → Shopping-dominant PMax with Display exclusions.
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.
When customers take 2-6 weeks to buy, last-click attribution makes everything look broken. Start with the AI Agentic System to build multi-touch attribution that proves incrementality — then optimize with confidence.
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
Generic feed titles ('Walnut Dining Table' across 38 variants), CPCs of $4.80 on category terms, and Wayfair outbidding on every generic head term.
What changed
Enriched feed titles with material, style, room type, and dimensions; built custom labels by margin tier; and pushed long-tail queries into dedicated Shopping campaigns.
Outcome
Average CPC fell to $2.10 on long-tail terms, Shopping ROAS reached 3.4x, and incremental revenue from Google grew by $42K/mo over the following quarter.
Operator profile
Starting point
Last-click attribution made Google look like a 1.5x ROAS channel; internal pressure to cut spend despite strong assisted-conversion signal in GA4.
What changed
Installed data-driven attribution in GA4, imported enhanced conversions back into Google Ads, and ran a 6-week geo holdout to quantify true incrementality.
Outcome
Geo test proved 31% incremental lift, leadership reinvested the saved spend, and true multi-touch ROAS stabilized at 2.9x with full attribution confidence.
AI-powered creative briefs for Demand Gen campaigns that place your furniture in real rooms, on real people's Pinterest boards, and in front of buyers during the 2-6 week research phase where purchase decisions actually get made.
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