Show products before the click
Present product imagery, pricing and merchant information to users while they compare relevant shopping results.
Google Shopping Ads Services
Promote ecommerce products through stronger Merchant Center data, structured retail campaigns and product-level optimisation connected to revenue quality.
Plan your Shopping campaignsGoogle Shopping overview
Turn product data into high-intent retail advertising
Google Shopping Ads use Merchant Center product information to promote products across eligible Google experiences. BrainADZ connects feed quality, campaign structure, bidding, budgets, stock and purchase data so product advertising remains commercially controlled.
Performance is reviewed by product and category—not only total account revenue. We identify which items attract demand, convert efficiently and support further investment after margin and inventory constraints.
Review your Shopping opportunity
Use product data as targeting
Strengthen titles, categories, identifiers and attributes that help Google match products with relevant demand.
Control product investment
Separate products by margin, category, stock, priority and performance so budget follows commercial opportunity.
Measure revenue quality
Connect campaign spend with purchases, order value, product mix, new customers and profitability context.
Retail campaign model
Select the campaign model according to control, reach and retail goals
Standard Shopping and Performance Max use Merchant Center inventory differently. The correct structure depends on account maturity, product economics and the level of control required.
01
Standard Shopping
Use product groups, bids, priorities and campaign controls when the retailer needs more direct visibility into product-level Shopping management.
Retail control and segmentation
02
Performance Max retail
Use Merchant Center product data with Google’s cross-channel campaign system to optimise toward conversion volume or value.
Cross-channel automation
03
Local inventory
Promote eligible in-store products and local availability when Merchant Center, store data and business operations support local retail journeys.
Online-to-store demand
04
Product-led testing
Compare campaign structures, product groups, asset coverage, offers and bidding approaches using controlled commercial hypotheses.
Evidence-led growth
Merchant Center management
Build a reliable product-data foundation before campaign scaling
Merchant Center controls the product information and eligibility that power Shopping campaigns. Account and data issues can limit delivery before bidding is considered.
Account and store setup
Connect Merchant Center with the ecommerce business correctly
We review business information, website verification, Google Ads linking, shipping, returns, taxes where applicable and product-source configuration.
- Merchant Center account review
- Website verification and claiming
- Google Ads account linking
- Shipping and return settings
- Business and destination configuration
Product source management
Choose a reliable method for keeping product data current
Product information can be supplied through ecommerce platform connections, files, sheets, APIs or supported automated sources depending on the catalogue and technical setup.
- Platform and app integrations
- Scheduled product files
- Google Sheets and structured sources
- API and custom feed readiness
- Source refresh and ownership rules
Diagnostics and policy readiness
Resolve product issues before they restrict campaign delivery
Merchant Center diagnostics, disapprovals, warnings, destination eligibility and policy-related product issues are reviewed continuously.
- Needs-attention and diagnostics review
- Product disapproval investigation
- Price and availability mismatch checks
- Image and landing-page compliance
- Destination and country eligibility
Promotions and merchant programmes
Use eligible retail features without weakening commercial control
Promotions, sale pricing, shipping offers and other Merchant Center programmes are aligned with real store terms and campaign economics.
- Promotion-feed and offer readiness
- Sale price and price-drop accuracy
- Shipping and delivery clarity
- Free listing eligibility context
- Offer and promotion reporting
Product feed optimisation
Make every product easier to understand, match and approve
Shopping campaigns rely on product attributes rather than conventional keyword targeting. Feed quality directly affects relevance, eligibility and product-level reporting.
Product titles
Write product titles that are accurate and commercially descriptive
Titles are structured around product identity, important attributes, brand and variant information without adding misleading promotional language.
Descriptions and attributes
Give Google enough detail to understand and classify each item
Descriptions and structured attributes communicate material, features, use, condition, identifiers, variants and other product facts.
Images and product media
Use clear product imagery that meets Shopping requirements
Primary and additional images are reviewed for clarity, product visibility, consistency and policy compliance across the catalogue.
Price, stock and destination
Keep the advertised offer consistent with the product page
Price, sale price, availability, currency, delivery and destination data should match the live shopping experience.
Shopping campaign management
Give products, budgets and automation clear commercial inputs
Campaign structure should reflect inventory, margins, product demand and conversion data rather than treating every item as equally valuable.
Product and category segmentation
Organise campaigns around commercial product groups
Products are segmented by category, brand, margin, price, stock, seasonality, best-seller status and strategic priority.
- Category and brand segmentation
- Margin and contribution groups
- Best-seller and hero products
- Seasonal and promotional groups
- Low-stock and clearance controls
Standard Shopping management
Use product groups and campaign controls where direct visibility matters
Standard Shopping campaigns are structured around inventory targets, priorities, product groups, bids and negative-keyword insights.
- Product-group subdivisions
- Campaign priority planning
- Search-term and negative controls
- Device, location and schedule review
- Bid and budget ownership
Performance Max for retail
Strengthen automation with better product, asset and conversion inputs
Retail Performance Max campaigns are organised around product groups, asset groups, audience signals, conversion values and commercial goals.
- Listing-group structure
- Asset-group and creative coverage
- Audience and search-theme inputs
- Brand and URL controls where available
- Conversion-value and customer goals
Bidding and budget strategy
Align automation with conversion value and business economics
Budgets and bidding targets are set around purchase volume, revenue, margin, stock, seasonality and the amount of reliable data available.
- Maximise conversion value readiness
- Target ROAS planning
- Budget allocation by product priority
- Learning-period change discipline
- Peak-period and seasonality planning
Promotions and pricing strategy
Coordinate campaign activity with genuine retail offers
Sale periods, merchant promotions, price drops, bundles and shipping offers are planned around stock, margin and customer demand.
- Promotional calendar alignment
- Sale-price and offer verification
- Campaign-specific product groups
- Pre-sale and peak-period budget planning
- Post-promotion efficiency review
Purchase and customer measurement
Optimise toward useful revenue rather than order count alone
Purchase events, conversion value, average order value, new-customer performance and available profitability signals are reviewed.
- Purchase and revenue validation
- Average order value monitoring
- New versus returning customers
- Refund and cancellation context
- Product-level contribution analysis
Retail business models
Adapt Shopping management to the catalogue and buying model
Catalogue size, price, seasonality and physical-store operations change how product data and campaigns should be organised.
Large catalogues
Use product labels, categories and automation to manage thousands of products without losing commercial segmentation.
- Custom-label strategy
- Category and margin groups
- Feed rules and automation
- Product-level exception reporting
Premium products
Use strong product data, high-quality imagery and value-led measurement for lower-volume, higher-value purchases.
- Detailed attributes and imagery
- Longer conversion windows
- Brand and category demand
- Revenue-quality optimisation
Seasonal retailers
Prepare feeds, stock, promotions and budgets ahead of demand peaks and reduce spend as availability changes.
- Seasonal product labels
- Promotion and sale preparation
- Peak budget readiness
- Stock-aware campaign controls
Omnichannel retail
Coordinate online inventory, eligible local product information and store-related goals across the retail programme.
- Online and local product readiness
- Store data and location alignment
- Local inventory eligibility
- Online-to-store reporting context
Product optimisation controls
Optimise product eligibility, demand and commercial value together
Feed health, product performance, stock and conversion quality are reviewed before budgets or targets are changed.
Review your Shopping accountProduct health
Review approved, limited, disapproved, out-of-stock and underperforming items before changing bids or budgets.
Search and demand insight
Use search terms, category demand, product reporting and competitive context to improve feed and campaign decisions.
Commercial segmentation
Use labels and product groups to separate high-margin, priority, seasonal, clearance and low-stock inventory.
Conversion-value quality
Validate purchase values, new-customer signals, refunds and product economics before scaling automated bidding.
Feed before bidding
Product data, price, availability, identifiers and landing-page consistency are corrected before bidding changes are expected to solve delivery problems.
Stock-aware budgets
Campaign investment is redirected when priority products cannot support additional demand or when availability is unreliable.
Product-level diagnosis
Account performance is reviewed by product, category, label and campaign instead of relying only on total ROAS.
Controlled automation
Performance Max and Smart Bidding inputs are improved before targets and budgets are changed repeatedly.
Google Shopping process
From catalogue readiness to profitable product scaling
Merchant Center, feeds, campaigns, purchase tracking and product economics remain connected through one retail growth roadmap.
01
Review catalogue, economics and Merchant Center
We confirm product range, margins, stock, average order value, markets, Merchant Center health, conversion tracking and business priorities.
- Phase
- Discovery
- Output
- Retail campaign and data readiness brief
02
Audit product data and diagnostics
Titles, descriptions, attributes, identifiers, images, pricing, availability, destinations and policy issues are reviewed.
- Phase
- Feed audit
- Output
- Product data improvement roadmap
03
Define product groups and campaign roles
Products are labelled and segmented according to category, value, margin, stock, seasonality and growth priority.
- Phase
- Strategy
- Output
- Product and campaign architecture
04
Build Shopping and retail campaigns
Standard Shopping or Performance Max campaigns, listing groups, assets, budgets, bidding and conversion goals are configured.
- Phase
- Setup
- Output
- Launch-ready Shopping campaigns
05
Validate delivery and purchase data
Product eligibility, spend, search demand, asset coverage, purchase events, values and stock changes are monitored after launch.
- Phase
- Launch phase
- Output
- Product-level performance baseline
06
Optimise product profitability and scale
Feeds, product groups, bids, budgets, promotions and assets are refined using product, customer and revenue-quality evidence.
- Phase
- Ongoing
- Output
- Optimisation report and growth backlog
Shopping campaign reporting
Connect product visibility with orders, customers and inventory
Reporting explains catalogue health, product-level demand, commercial quality and where retail budgets should move next.
Merchant Center health
Understand catalogue coverage, product eligibility and the issues preventing items from serving correctly.
- Approved and disapproved products
- Warnings and limited destinations
- Price and availability mismatches
- Feed freshness and source status
Product performance
Identify which products and categories generate useful demand, revenue and conversion value.
- Impressions, clicks and cost by product
- Orders and revenue by category
- Product-level ROAS
- Best-seller and low-performing groups
Commercial quality
Review whether campaign growth supports healthy order value, customer acquisition and product economics.
- Average order value
- New versus returning customers
- Margin and contribution context
- Refund and cancellation patterns
Budget and scaling decisions
Show where spend should be expanded, protected, reduced or redirected according to inventory and performance.
- Budget utilisation and lost opportunity
- Campaign and product-group contribution
- Stock and promotion constraints
- Next scaling and testing priorities
Google Shopping Ads FAQs
Practical answers before promoting products on Google
Understand Merchant Center, feeds, Standard Shopping, Performance Max, custom labels, local inventory and retail measurement.
Ask another questionWhat is included in your Google Shopping Ads service?
The service can include Merchant Center setup or review, product feed optimisation, Standard Shopping, Performance Max retail campaigns, product segmentation, bidding, budgets, promotions, purchase tracking, optimisation and reporting.
Do I need Google Merchant Center for Shopping ads?
Yes. Retailers need product information in Google Merchant Center and must link the relevant Merchant Center and Google Ads accounts before running Shopping or retail Performance Max campaigns.
What is the difference between Standard Shopping and Performance Max?
Standard Shopping provides more direct campaign, product-group and bidding control within Shopping inventory. Performance Max uses Merchant Center products with broader Google channel automation and optimises using goals, assets, audience inputs and conversion data.
Do Shopping ads use keywords?
Shopping ads primarily use Merchant Center product attributes and campaign settings rather than keyword targeting. Search terms and negative keyword controls can still provide important insight and control depending on campaign type.
Do you optimise product feeds?
Yes. Feed work can include titles, descriptions, categories, product types, identifiers, variants, images, price, availability and custom labels, together with Merchant Center diagnostics and policy issues.
What are custom labels?
Custom labels are optional feed attributes that retailers can use to group products by business-defined categories such as margin, season, bestseller status, price band or clearance. They support campaign segmentation and reporting.
Can Shopping ads promote local store inventory?
Eligible retailers can use local inventory data and supported campaign setups to promote products available in physical stores. Merchant Center, store information, inventory data and policy requirements must all be configured correctly.
How do you measure Shopping campaign performance?
Measurement can include product impressions, clicks, cost, orders, revenue, conversion value, ROAS, average order value, new customers, stock, product-group contribution and available profitability context.
How quickly can Google Shopping Ads generate sales?
Campaigns can begin generating product traffic and orders after approval and launch, but stable performance requires enough demand and conversion data. Results depend on product competitiveness, pricing, feed quality, stock, website experience, budget and measurement.
Do you guarantee a specific ROAS or revenue?
No responsible Shopping Ads provider can guarantee fixed results because performance depends on demand, competition, price, stock, margin, feed quality, website conversion, tracking and budget. We provide transparent optimisation around agreed commercial goals.
