G-MOS for the tire industry: Google Ads automation for online sales

In today's E-commerce, competition in the automotive industry, including tire sales, is growing rapidly. Marketing teams are looking for effective solutions that allow them to automate advertising processes, quickly update product availability, and display current prices in advertising campaigns. This helps maintain high conversion rates even during seasonal peaks.

G-MOS is a platform that helps companies create Google Ads search ads by integrating the system with a Google Ads advertising account and data feed. The tool synchronizes updates in ads without unnecessary manual intervention.

This enables companies in the tire industry to expand their reach and maintain the relevance of their ads. One of the main advantages is getting into relevant customer searches.

In this article, we will look at how G-MOS helps tire sales businesses scale Google Ads advertising, while reducing the burden on PPC specialists and maintaining stable performance.

Why is automation shaping the future of tire advertising?

The tire retail business has a distinctly seasonal demand pattern, with moderate activity outside peak periods.
The highest sales volumes traditionally occur in the autumn-winter and spring-summer seasons, when car owners replace their tire sets in large numbers.
During these high-demand periods, search interest and competition can increase tenfold, making it crucial for tire companies to maintain consistent advertising activity and visibility in Google Search.

Tire advertising automation with G-MOS

According to Global Market Insights (GMI), the global online tire market was valued at approximately USD 16.4 billion in 2024, with analysts projecting an annual growth rate of 13.6% through 2034.
This expansion signals growing opportunities — but also stronger competition.
As the number of online tire retailers rises, maintaining search visibility and campaign efficiency in Google Ads becomes increasingly challenging.

That’s where G-MOS, an advanced Google Ads automation platform, steps in. G-MOS automatically generates ad groups and keywords based on data feeds of any complexity, allowing tire retailers to scale campaigns without manual work.

Within minutes, the system can deploy tens of thousands of ad groups, ensuring full coverage across customer search demand. This approach enables marketing teams to react instantly to seasonal trends while optimizing budgets, improving ad relevance, and boosting CTR.

Thanks to its bid and budget management features, G-MOS users can maintain full control of campaign performance and maximize results across Performance Max, Google Shopping Ads, and Search campaigns — all while saving hours of manual optimization.

How feed-based automation works for tire industry search campaigns

The search demand landscape in the tire industry can vary widely — from highly specific queries about a particular tire brand and model to more general searches focused on the brand name or tire size.
To manage this complexity effectively, tire businesses use feed-based automation in their Google Ads campaigns.

Let’s explore the most common feed approaches used to automate ad creation and keyword coverage.

Category Feed

The category-level feed includes the following data fields:

• Landing page ID

• Landing page title

• Lowest product price on the page

• Tire season (e.g., summer, winter, all-season)

• Product category

• Landing page URL

The result is a structured feed containing all category-level landing pages, which automatically generates ad groups, keywords, and ad texts for Google Ads.

Example:
Tires for Passenger Cars | Summer
Target keywords:

• buy summer tires

• summer car tires

• summer tire deals

Truck tires:

• truck tires

• buy truck tires

• truck tires

With this feed, we covered all the demand associated with the category level.

Model feed

The following data is transferred to the feed structure:

• Model ID

• Model name

• Model cost

• Category to which the product belongs

• Model landing page

At the output, we get a feed with all model-level pages and, as a result, groups, keywords, and ad texts.

Example:
Car tires | Bridgestone Dueler
Target keywords:

• Bridgestone Dueler tires

• Bridgestone Dueler Kyiv

• Bridgestone Dueler price

Example:
Car tires | Michelin Alpin:

• car tires Michelin Alpin

• Michelin Alpin buy

• Michelin Alpine

With this feed, we covered all the demand related to the model level.

Brand + diameter feed

Includes all site links at the "Brand + diameter" level.

The following data is transferred to the feed structure:

• Landing page ID

• Landing page name

• Price of the cheapest product on the landing page

• Category to which the products on the landing page belong

• Landing page

At the output, we get a feed with all pages at the "Brand + diameter" level and, as a result, groups, keywords, and ad texts.

Example:
Car tires | Bridgestone R13:

• buy bridgestone r13

• bridgestone r13

• bridgestone r13 lviv

With this feed, we covered all the demand related to the search for a certain brand of rubber with a reference to the tire diameter, but without specifying the specific model of the tire itself.

Feed with width, height, and diameter

The following data is passed into the feed structure:

• Landing page ID

• Landing page name

• Price of the cheapest product on the landing page

• Category to which the products on the landing page belong

• Landing page

At the output, we get a feed with all pages of the "width + height + diameter" level and, as a result, groups, keywords, and ad texts:

Example:
Car tires | 120 70 R 15:

• buy 120 70 R 15

• 120 70 R 15

• 120 70 R15

Car tires | 205 55 R15:

• 205 55 R 15

• buy 205 55 R15

• 205 55 R15

With this feed, we covered all demand related to searches for tire sizes, without specifying a specific brand or model of the tire itself.

What does this approach deliver in practice?

Experience shows that 20% to 40% of the advertising budget often drives the majority of effective impressions and conversions.

Key Advantages:

• Time Efficiency

Save hours of manual work — simply upload your feed to G-MOS once and configure the data processing logic. From that moment, the system stays fully synchronized with your website and Google Ads account.
You no longer need to manually create or update ad groups. G-MOS automatically processes price updates, stock changes, and new landing pages, refreshing your ad data up to 12 times a day.

• Focus on Strategy

Instead of constantly checking what to change, enable, or pause, users can focus on campaign strategy and budget optimization. Since G-MOS covers all levels of keyword demand, marketers gain flexibility and control over how and where to apply different budgeting and bidding strategies.

• Performance Optimization

Efficiency is a key. Traditional Google Search campaigns may perform 30% less effectively than Google Shopping or Performance Max campaigns. However, with G-MOS automation, advertisers get granular keyword coverage and structured campaign management — allowing them to offset lower conversion rates with cheaper traffic and broader reach.
Such campaigns can drive up to 40% of the total account revenue while maintaining a comparable cost per conversion to Shopping or Performance Max.

Proven Business Results

All it takes is a product feed and smart setup.
After implementing G-MOS automation for Google Ads, Exist UA achieved a 430% increase in revenue, optimizing thousands of SKUs and cutting campaign management time by several times.
This case proves that automation is not only about saving time — it also delivers measurable business impact.

According to Invoca research (via Porch Group Media), automotive companies that integrate automation into their marketing strategies are twice as likely to achieve high ROI.
This is especially crucial for the tire industry, where real-time ad updates reflecting price and availability play a decisive role in staying competitive.