+430% Revenue with Google Ads Automation: The EXIST.UA & G-MOS Story

Managing Google Ads at scale is one of the biggest challenges for e-commerce today. With regular stock/price/discount changes and shifting seasonal demand, retailers need automation to stay competitive. In this case study, we explained how the Exist.ua company used G-MOS to achieve better results from Google Search Ads and overcome these challenges.

Client

Exist.ua — the largest online store for car parts in Ukraine, with an assortment of over 1 million products. 

Task

• Automate the creation and management of advertising campaigns in Google Ads for a huge assortment of automotive goods.

• Optimize campaign management for products with variable demand (seasonality, stock availability).

• Enhance the effectiveness of advertising campaigns by reducing customer acquisition costs (CAC) and increasing return on investment (ROI).

The problem before G-MOS implementation

Manual management of advertising campaigns for such a large assortment was inefficient and time-consuming. Every day, hundreds of products become unavailable (out of stock), while others appear in stock. It was impossible to create and modify thousands of ads and keywords manually.
Another part of the problem was that managing advertising campaigns in Google Shopping also required constant manual control of product labels for segmentation and optimization.

Solution: G-MOS integration

Exist.ua has decided to utilise the G-MOS platform for the full automation and optimization of all advertising campaigns. G-MOS allowed to reach business goals by using two of its key modules: "Ads generation" and "Product labels".

Stage 1: Automating search campaigns using the "Ads generation" module

The "Ads generation" module automated the creation and updating of search campaigns.

• Creating search groups and keywords. Using the Exist.ua website data feed, which contains data about millions of car parts, G-MOS automatically generated thousands of search ad groups, keywords, and ads. We set up templates that G-MOS used to create relevant headlines and ad texts, dynamically pulling in information about the product, brand, and model. The structure was based on data from the feed, namely: category name in several languages, product ID, car brand, product type, and landing page.

• Dynamic actualization. G-MOS scans the Exist.ua product feed daily. If any product runs out of stock, G-MOS automatically pauses the corresponding ad group or keyword, preventing non-targeted impressions and clicks. As soon as the product is back in stock, the campaign resumes. This approach allows the customer to advertise only available items.

• Flexible customization. The client used flexible rules in G-MOS to create highly targeted ads. For example, for high-margin products, separate ads were generated with an emphasis on the customer’s benefit. On the other hand, for the low-margin products, the system generated ads that highlighted affordability.

Stage 2: Optimizing Google Shopping using the "Product Labels" module

For Google Shopping, where working with the feed and segmentation plays a key role, the client used the "Product Labels" module of G-MOS.

• Automatic label creation. Based on the set rules, G-MOS automatically assigned labels to products in the feed. We created rules that classified products by various parameters:

  • Margin: high-margin, low-margin.

  • Click and spend volume: Zombie SKU (Items that are presented in the feed, but Google's algorithms do not include them in advertising, considering them less promising from a sales perspective, so they do not get impressions or clicks)

• Segmentation and bid management. Based on these labels, we created separate product groups in Google Ads. This allowed us to apply different bidding strategies. For example, for the high-margin product group, higher bids were set to maximize visibility and sales, while for the low-margin product group, more conservative ones were set. For the Zombie products group, a separate campaign structure was created — this made it possible to flexibly manage budgets and promotion strategy, and to involve a significantly larger number of products in advertising.

• Data-driven optimization. G-MOS also allowed us to easily analyze the effectiveness of each label. We could see which product segments brought the most revenue and adjust strategies, which would have been impossible with manual work on a general feed.

Results of G-MOS implementation:

The use of G-MOS allowed Exist.ua to achieve impressive results:

• Significant reduction in labor costs: Instead of manual work with millions of products, the Exist.ua manager could manage campaigns by setting rules in G-MOS. The time spent on creating and managing campaigns was reduced tenfold.

• Increased transaction volume: Labeling in the feed made it possible to increase sales by creating a campaign structure with different strategies and automatically redistributing products between them. Search campaigns, in turn, increased their performance due to the automatic launch and stopping of products in and out of stock, as well as by automatically adding new products and updating their prices in ad texts. This led to an increase in transactions by +318% and revenue by +430%.

• Increased profitability: Accurate segmentation, maintaining up-to-date products in advertising, and managing bids based on G-MOS-generated labels allowed the budget to be focused on the most profitable products. As a result, the return on advertising investment (ROAS) increased by 11%.

• Constant relevance: Exist.ua's advertising campaigns always remained relevant, reflecting the current availability of goods in the warehouse, which positively affected the user experience and brand trust.

The Exist.ua case proves that feed-based Google Ads automation with G-MOS is the scalable way to run Google Ads campaigns for retailers managing a large product catalog. Paid search remains one of the most profitable channels for e-commerce. According to HubSpot, PPC ads deliver an average ROI of 200%, and Ranktracker adds that 65% of Google Ads clicks come from users with a high buying intent. With such potential, retailers can no longer afford to manage campaigns manually. This is why Exist.ua integrated G-MOS to automate Google Ads directly from its product feed.

Another successful case is KLR Bus, which utilized G-MOS to launch campaigns for over 50,000 bus routes in just a few hours, resulting in a 461% increase in ticket sales. This demonstrates the flexibility of feed-driven automation across both retail and service industries.