Effective Google Ads Management for a Music Store

In music retail advertising, budget can disappear unnoticed: some goes to cheap accessories, some to weak queries, while expensive instruments don’t get enough support. Vectum Agency prepared this case study after working with an e-commerce project in Ukraine. We signed a non-disclosure agreement and follow it: the client’s name is hidden and commercial figures are not disclosed.

Project summary

• Niche: online store for musical instruments and equipment.
• Channel: Google Ads, Google Shopping and Performance Max.
• Problem: budget was allocated without considering margin, sales data was passed incompletely, and expensive instruments got too few impressions.
• What we did: account and analytics audit, product feed clean-up in Merchant Center, new Performance Max structure, catalogue segmentation by margin.

Campaign analysis

We started with a Google Ads audit, analytics, account structure and sales logic. For a store selling guitars, synthesizers, microphones, drum kits and accessories, you can’t treat all conversions the same. Selling a professional instrument and selling a set of strings have different business value, so the ad system needs to see that difference.

During the review, the team found issues that reduced campaign returns:

• budget was allocated without considering product group margins;
• part of the spend went to queries with low purchase intent;
• e-commerce events were passed incompletely;
• order value (purchase value) did not always reach Google Ads correctly;
• the account structure made it harder for automated strategies to learn.

After the audit it was clear that spot bid adjustments were not enough. The system had to be rebuilt so that the algorithms received clean data and the budget supported orders with higher returns.

Merchant Center optimisation

The next stage was Merchant Center and the product feed. For Google Shopping and Performance Max, product data is the basis for impressions. If a title is vague, the GTIN is missing where it is available and the description doesn’t cover the specifications, the ads lose relevance before bidding even comes into play.

The team cleaned up the feed and prepared it for more stable scaling:

• clarified titles for instruments, audio equipment and accessories;
• checked GTINs, brands, categories and basic attributes;
• removed duplicate descriptions;
• matched feed data with information on the website;
• separated specifications important for different product types.

The updated feed gave the campaigns a clearer signal. The system better distinguished a professional synthesizer, an acoustic guitar, a studio microphone and a small accessory. For e-commerce this is critical, because an error in product data can redirect the budget to less valuable impressions.

Performance Max setup

After cleaning up the data, the team moved on to Performance Max. The task was not just to launch campaigns, but to build logic that helps the system look not for the cheapest transactions, but for purchases with better economics within a controlled budget.

We set up the campaigns around how people actually choose musical products:

• built separate asset groups for key product categories;
• added audience signals for users with different intent;
• adapted ad copy and creatives to the music niche;
• removed weak connections between products, intent and ads;
• focused optimisation on sales quality.

This approach reduced chaos in campaign learning. Google Ads got a clearer structure, and the team could see more precisely which product groups deserved more budget and where impressions should be held back.

Segmentation by margin

The key decision was segmenting the catalogue. In music e-commerce, products differ in price, demand, margin and decision speed. If you mix pianos, drum kits, guitars, strings and cables into one logic, cheap purchases create activity but don’t deliver the returns you need.

More expensive instruments got a separate campaign structure with a different target ROAS, that is, return on ad spend. Accessories and small parts were moved into separate groups with a more cautious budget. This kept the traffic while reducing spend on products with lower business value.

Growth in conversion value

After the campaigns stabilised, the team evaluated results by relative dynamics. Because of the NDA, we don’t disclose exact spend, revenue or order figures, but we can show the direction of change. Campaigns began working better with order value, and less budget was spent on queries and products with low returns.

The client gained practical benefits:

• positive ROAS dynamics in priority product groups;
• better control of cost per order (CPA) without sharply cutting traffic;
• cleaner e-commerce data transfer;
• a clearer structure for further scaling;
• less spend on weak product segments.

What to check in your online store

1. Order value. Does Google Ads receive not only the fact of a purchase but also its value?
2. Product feed. Are there errors, cut-off titles or products without GTINs in Merchant Center?
3. Margin. Are high-margin products and cheap accessories separated in your campaigns?
4. Search terms. Is budget going to queries like «free», «used» or «reviews»?
5. Reporting. Can you see returns for each product group, not just for the account as a whole?

This case shows that effective Google Ads management for a music store is not just about bids and budget. Results come from combining Merchant Center, analytics, segmentation, Performance Max and an understanding of the catalogue’s economics. If your online store spends its ad budget without the expected returns, contact Vectum Agency for a Google Ads and Merchant Center audit. We showed a similar result in the Google Ads for a Car Rental Website case.