Do keyword optimized product titles rank better in Google Shopping?

Why keyword optimization matters

When a shopper searches for "wireless earbuds," Google needs to determine which products are most relevant. One of the simplest signals Google can use is whether the product title actually contains the search terms. If your product title says "Bluetooth Audio Device" instead of "Wireless Earbuds," you might be at a disadvantage.

This analysis examines whether products with keyword-optimized titles tend to appear higher in Google Shopping results. We categorize products into three groups based on how well their titles match the search query.

Understanding the three match categories

We analyze keyword matching using three categories:

• Full match: The entire search query appears in the product title. Example: Query "golden bracelet" → Title "Golden Bracelet for Women with Diamonds"
• Partial match: The first or last word of the query appears in the title, but not the full query. Example: Query "golden bracelet" → Title "Silver Bracelet for Women" (matches "bracelet")
• No match: Neither the full query nor the first/last words appear in the title. Example: Query "golden bracelet" → Title "Jewelry Set for Ladies"

The relevance signal

Google's algorithm considers many factors when ranking products: relevance, price competitiveness, seller reputation, user engagement, and more. Having the search query in your title is a strong relevance signal—it tells Google your product is directly related to what the user is looking for.

However, keyword stuffing can backfire. A title like "Wireless Earbuds Earbuds Bluetooth Earbuds Best Earbuds" might trigger spam filters. The best approach is to naturally incorporate relevant keywords while keeping titles readable and informative. Our analysis on optimal product title length provides more guidance on title structure.

How we calculate this data

For each product in our dataset, we join it with the search query that surfaced it. We check (case-insensitive) whether: (1) the complete query appears in the title (full match), (2) the first or last word of the query appears (partial match), or (3) neither matches (no match). Products are then plotted by their distribution across normalized page depth.

How we normalize page depth per SERP

Some search result pages are far taller than others because of extra SERP elements. To compare positions fairly, we normalize depth within each SERP: Relative Depth = (pixel_y - min_pixel_y) / (max_pixel_y - min_pixel_y) × 100. This scales vertical position to 0–100% per SERP and avoids skew from unusually tall pages.