One Google Ads campaign trying to cover branded, Shopping, and prospecting traffic at the same time cannot optimize any of them correctly. The branded campaign protects margin. The Shopping campaign captures product intent. Performance Max scales what the data confirms is profitable. Each one separate.
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Stan Consulting is a Shopify Google Ads team running a three-layer campaign structure - cold purchase + always-on ATC brand + retargeting - across Shopping, Performance Max, and Search. Feed hygiene and first-party conversion tracking are audited before any budget scale. Engagements begin with a $999 Conversion Second Opinion.
20+ Years Shopify Campaigns
Merchant Center + Feed Specialist
Three-Layer Architecture
Margin-Aware Bidding
What goes wrong
Branded and non-branded in a single campaign means the algorithm routes budget toward branded searches -- the cheapest conversions -- while prospecting campaigns starve. ROAS looks good. New customer growth is flat.
Shopping and Performance Max are only as good as the product feed. Agencies that do not maintain feed titles, fix disapprovals, or segment out-of-stock products let budget burn on inventory that cannot convert.
Shopify's built-in conversion tracking double-counts when Google Ads also has a conversion tag firing. The algorithm optimizes on inflated data and smart bidding never reaches real performance.
When one budget pool covers branded, Shopping, and PMax simultaneously, the algorithm decides allocation. Branded gets the most because it converts fastest. Prospecting gets whatever is left.
Campaign structure
01
Captures your brand-name searches at maximum impression share. Prevents competitor ads from stealing branded traffic. High ROAS, low cost, high margin. Budget isolated from prospecting so the algorithm cannot redirect it toward easier conversions.
02
Product-intent non-branded searches. Controlled by product group segmentation, negative keywords, and bid adjustments by margin tier. Feeds performance data into PMax and provides direct control that Performance Max cannot offer on its own.
03
Feed-based prospecting with audience signals, segmented asset groups, and ROAS targets calibrated against margin. Branded terms excluded. Product groups segmented by performance history so the algorithm allocates spend where it has already demonstrated results.
04
Cart abandoners, product page visitors, and past purchasers retargeted through Display and YouTube. Separate budget. Separate ROAS floor. Not pooled with prospecting spend where the algorithm would deprioritize them.
05
Bid adjustments, feed maintenance, search term pruning, and monthly performance report tied to revenue and margin targets -- not vanity metrics. Every change documented with the reasoning behind it.
The process
1
Step One
Review current campaign structure, feed health, tracking accuracy, and budget allocation across campaign types. Every structural problem identified before any changes are made. Findings delivered as a written report.
2
Step Two
Separate branded from non-branded. Build correct Shopping structure with product group segmentation by margin tier. Configure PMax with audience signals and segmented asset groups. Verify conversion tracking against Shopify purchase data.
3
Step Three
Weekly optimization across all three layers. Monthly reporting with margin overlay so performance is measured against what the store actually earns -- not what the algorithm reports as ROAS.
Common questions
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