How to double your Google Shopping ROAS in 90 days
The exact playbook we use to lift Google Shopping ROAS 2-3x for Shopify brands. Branded campaign isolation, feed enrichment, weekly query mining, and bid tuning that compounds.
Justin Owings
Founder, GOAT Marketing
Google Shopping is the highest-intent surface in e-commerce paid media. It's also the surface where most accounts hemorrhage budget the fastest — because the default account structure mixes branded and non-branded traffic, the product feed is uncategorized, and the bid tuning happens by whoever-clicked-the-button-last.
Here's the 90-day playbook we've used to lift Google Shopping ROAS 2-3x across multiple Shopify accounts in our portfolio — including hitting a peak 16.98x ROAS on Big7Kits' Standard Shopping campaign.
Step 1 — Isolate branded shopping
The single fastest way to lift account-level ROAS is to stop bidding against your own brand. If your "Catch All" shopping campaign is matching on branded queries, you're paying CPC to win clicks that would convert for free via direct or organic.
How to fix it:
- Create a new Standard Shopping campaign labeled "Branded" with a high target ROAS (target 15-20x).
- On your existing campaigns, add account-level negative keywords for your brand name, common misspellings, and your top-3 product-name SKUs.
- Monitor for 14 days — branded ROAS should climb into double digits; non-branded ROAS will drop slightly as the cheap conversions stop subsidizing it. Net account ROAS lifts.
Step 2 — Enrich your product feed
Google Shopping ranking is more about feed quality than bid level. The brands that win have feeds with: complete GTIN/MPN/brand fields, custom labels for margin-based bidding, product types matched to Google's taxonomy, and high-quality images with clean backgrounds.
Tools we use: Shopify's native Google Channel app for the base feed; Feedonomics or DataFeedWatch for enrichment when the catalog is over 5,000 SKUs.
Step 3 — Mine search terms weekly
Every week, pull the Search Terms report and do three things:
- Add exact-match negative keywords for every junk query (typos, wrong intent, off-category) — typically 20-50 per week.
- Harvest the highest-converting queries into a separate Standard Shopping campaign for tighter bid control.
- Look for query patterns that suggest new product opportunities or content gaps for SEO. Pass them to the SEO team for the next content sprint — paid + organic are supposed to share signal.
Step 4 — Tune target ROAS to actual
Google's Smart Bidding is great if you feed it good data, but it relies on the target ROAS you set being roughly accurate. If the campaign has been actually delivering 8x ROAS but the target is set to 4x, you're telling Google to bid up for volume — and it will, even as ROAS dips.
Every 14 days, look at trailing actual ROAS per campaign and adjust target ROAS to within 10-15% of actual. This keeps Smart Bidding from chasing volume at the expense of margin, and keeps your account from drifting.
Step 5 — Layer Performance Max on top, carefully
Performance Max is powerful but opaque. Run it alongside Standard Shopping (not instead of) so you keep query-level control on high-intent traffic while PMax handles discovery + scale.
Constrain PMax with: account-level branded negatives, exclude your top SKUs (let Standard Shopping win those), feed-quality wins only, and creative assets uploaded for every slot. Don't let PMax run with just the catalog feed — it will undercut your Standard Shopping ROAS.
What this looks like at 90 days
Accounts running this playbook end Q1 with:
- Branded Shopping ROAS in the 12-17x range (campaign-level peak).
- Account-level ROAS lifted 50-100% from week 1 baseline.
- A documented negative keyword list and structural account map your in-house team can maintain without us.
- Tighter integration between paid Shopping and organic search intent — query mining feeds the SEO content map.
Want us to audit your Google Shopping account on the same framework? See our Google Ads service page or book a free growth audit.
