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Google AI Shopping Ads

Prepare your product data for Google’s evolving shopping experiences.

Shopping advertising management brings together product data, Merchant Center eligibility and purchase measurement. ReklamKlik checks price and stock consistency, connecting product campaigns to your store’s sales and margin targets.

Google AI Shopping Ads: Connect product data to shopping discovery.
Connect product data to shopping discovery.
01Product data review
02Access and campaign plan
03Product group optimisation
FROM OBJECTIVE TO IMPLEMENTATION

Let’s turn your needs into a clear work plan.

We plan Google Shopping ads around your product catalogue, stock and contribution margin. Resolving Merchant Center data issues, prioritising product groups and validating purchase value are addressed together. AI-powered placements are assessed separately against current account and target market eligibility.

CONCRETE DELIVERABLES

What will you have at the end of the work?

  • Product feed health report
  • Category and campaign plan
  • Purchase value checks

Scope, delivery schedules and responsibilities are clarified together during the quotation stage.

Who is it for?

E-commerce businesses with well-maintained catalogue and margin data. Reliable product data and an appropriate advertising scope.

Where should we start the conversation?

  • Merchant Center and store access
  • Product and variant catalogue
  • Margin and stock conditions
Share your needs →
SCOPE AND APPROACH

What do we address together?

Implementations planned around your needs and the scope of each area.

01

Merchant Center health audit

We classify Merchant Center product and account issues by data, website and policy. We identify why products were disapproved and show which underlying source needs correcting before increasing the ad budget.

02

GTIN and variant accuracy

We compare GTINs, brands, product IDs and variant relationships against the actual catalogue. We check for colour or size variants linking to the wrong product and IDs that keep changing in the data source.

03

Price and stock consistency

We match pricing, promotion periods and stock information to the product page. We do not assume continuous advertised availability until the stock source and update frequency are clear.

04

Product images and descriptions

We refine titles and descriptions to distinguish the product’s actual features. Showing the correct variant in images and making purchase conditions clear on the landing page are part of product data quality.

05

Shopping/PMax eligibility

We select Standard Shopping and an appropriate Performance Max structure based on the catalogue, required control and measurement quality. AI-powered shopping placements depend on country, account and platform eligibility; we do not guarantee appearances in a specific placement.

06

Purchase value validation

We check order IDs, currency and value in the Purchase event. Including cancellations, returns and category margins in reporting helps prevent headline revenue from obscuring the real contribution.

WORKING PROCESS

A clear purpose and deliverable at every step.

From initial assessment to implementation, and from implementation to regular improvement.

  1. Product data review

    We compare Merchant Center diagnostics with sample products and store pages. The health report identifies which team needs to resolve ID, stock or policy issues.

  2. Access and campaign plan

    We select product groups by stock and margin, and arrange title, variant and price corrections at the product source. The launch plan includes the Shopping/PMax decision and measurement tests.

  3. Product group optimisation

    We assess product group spend against order value and, where available, return and margin data. We distinguish data errors from weak commercial performance and update catalogue and campaign priorities.

MEASUREMENT AND IMPROVEMENT

How do we assess success?

  • Product data error rate
  • Advertising contribution with margins considered

We track product disapprovals and data errors, spend on in-stock products and validated purchase value. ROAS is a revenue indicator; it is not presented as profit without accounting for returns, product costs and operating expenses.

CLEAR ANSWERS

Questions about Google AI Shopping Ads.

Is visibility in AI Mode guaranteed?

No. Eligibility, country, account and platform selection affect visibility.

Do you advertise every product?

Products are prioritised by stock, demand and contribution margin.

Does the service focus on Google Shopping or AI visibility?

The core scope covers Google Shopping product ads, Merchant Center and purchase measurement. AI-powered placements are assessed separately only where current market and account conditions are eligible.

Google AI Shopping Ads

Request a quote for your needs.

Share your goal and current situation. Let’s define scope, priorities and the next step together.

0543 862 94 05merhaba@reklamklik.com
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The next step in growth.
Let’s plan it together.

Let’s discuss your goal, current situation and needs.

Request a quote →
LET’S PLAN TOGETHER

Let’s discuss your project.

Tell us what you need for Google AI Shopping Ads. Let's define the right scope together.