Why Structured Product Data Is Your PPC Superpower
Your competitors bid on the same keywords. They use the same platforms. The difference between high ROAS and wasted spend often comes down to one thing: the quality of your product data.
The Data Advantage
Google Shopping does not work like search. You do not choose keywords. The algorithm matches your products to queries based on your feed data. If your data is poor, you appear for the wrong searches. If your data is rich, you capture high-intent queries your competitors miss.
This creates a compounding advantage. Better data leads to better matches. Better matches lead to higher CTR. Higher CTR improves Quality Score. Better Quality Score reduces CPCs. Lower CPCs mean higher ROAS, which funds more spend, which captures more market share.
The merchants who invest in feed quality outperform those who rely on bidding alone. Bidding optimises within the constraints of your data. Better data expands those constraints.
Feed Quality Fundamentals
Feed quality is not about completeness for its own sake. It is about giving Google the information needed to match your products to the right queries and to differentiate your listings from competitors.
Accuracy Over Volume
A smaller feed with accurate, complete data outperforms a larger feed with missing attributes and mismatched prices. Quality beats quantity.
Specificity Over Generality
"Blue cotton crew neck t-shirt size medium" beats "T-shirt". Specific attributes help Google match to specific queries with purchase intent.
Freshness Over Stale
Real-time inventory and pricing prevent disapprovals and ensure ads only show for products you can actually sell.
Title Optimisation: The Biggest Lever
Your product title is the single most important feed attribute. It determines which queries you match, how you rank, and whether users click. Most merchants leave significant performance on the table with poorly structured titles.
Title Structure Formula
Lead with the most important matching attributes:
[Brand] + [Product Type] + [Key Attribute] + [Size/Variant]
Example: "Nike Air Max 90 Running Shoes Black Size 10 UK"
Common Title Mistakes
- • Starting with SKU codes or internal references
- • Missing brand name for branded products
- • Vague product types ("Item" or "Product")
- • No size or variant information
- • Promotional text that changes frequently
- • All caps or excessive punctuation
Review your search terms report to identify high-intent queries you are missing. Often, adding specific terms to titles (colour, material, use case) captures searches your current titles do not match.
Product Types and Categories
Product type and google_product_category tell Google what you sell. The more specific your categorisation, the better your matching and the more control you have over campaign structure.
google_product_category
Use Google's taxonomy and go as deep as possible. "Apparel & Accessories > Clothing > Shirts & Tops > T-Shirts" is better than just "Apparel".
product_type
This is your own taxonomy. Structure it for campaign management: "Menswear > Casual > T-Shirts > Graphic" enables granular ad group structuring.
Consistent product type hierarchy enables you to build campaigns and ad groups that match your merchandising structure, making bid management and performance analysis more intuitive.
Custom Labels for Segmentation
Custom labels are the most underused feed feature. They allow you to segment products by any business attribute and bid accordingly. This is how you turn feed data into commercial advantage.
Strategic Custom Label Uses
custom_label_0: Margin Tier
High / Medium / Low margin. Bid more aggressively on high-margin products.
custom_label_1: Performance Tier
Best Sellers / Good / Poor based on historical conversion data.
custom_label_2: Seasonality
Summer / Winter / Evergreen. Adjust bids based on seasonal relevance.
custom_label_3: Inventory Level
Overstocked / Normal / Low. Push overstocked items, reduce spend on low stock.
custom_label_4: Strategic Role
Hero / Gateway / Clearance. Bid based on strategic importance, not just margin.
Custom labels should update dynamically based on your data. Connect your feed processor to your inventory system and analytics to keep labels current.
Feeding the Algorithm
Google's Smart Bidding and Performance Max rely on signals to optimise. The more signals you provide through your feed, the better automation performs.
Conversion Value Signals
If you use target ROAS or maximise conversion value, accurate pricing is essential. The algorithm optimises for the value you report, so ensure prices in feed match actual transaction values.
First-Party Data Enrichment
Connect customer data to inform bidding. Products bought by high-LTV customers can be prioritised. Customer match lists enhance automation targeting.
Supplemental Feeds
Use supplemental feeds to add custom labels and performance data without modifying your primary feed. This allows rapid iteration on segmentation strategies.
Smart Bidding is only as smart as the data you give it. Poor feed data constrains automation. Rich feed data unlocks its potential.
Measuring Feed Impact
Feed optimisation should be measured like any other performance initiative. Track specific KPIs before and after changes to quantify impact.
KPIs to Track
- Impression share: Are you appearing for more relevant queries?
- CTR: Do better titles and images drive more clicks?
- Conversion rate: Does better matching bring higher-intent traffic?
- Average CPC: Does improved Quality Score reduce costs?
- ROAS by custom label: Does segmentation improve bidding efficiency?
Run controlled tests when making significant feed changes. Use campaign experiments or before/after analysis with sufficient data volume to detect meaningful differences.
Related Reading
Want to unlock your feed's potential?
Our feed audit identifies optimisation opportunities in titles, categories, and custom labels that drive measurable performance improvement.
Request a Feed Audit