Do discounted products rank higher in Google Shopping?

The Productrise Team
Last updated: August 16, 2026

Depth distribution: no discount vs discounted products

Last 30 days. Each bar = share of products in that 1% relative depth bin. Left = no discount, right = discounted. Both sides are independently normalized. Dashed line = average depth per group.

Data based on the last 30 days of data from Productrise.

The discount and ranking connection

The presence of a discount—showing a strikethrough regular price alongside a lower sale price—is a powerful signal to consumers. But does Google's algorithm favor discounted products in organic rankings? Understanding this relationship can help sellers make informed decisions about their pricing and promotional strategies.

Google's organic ranking algorithm doesn't explicitly prioritize discounted products. Instead, the algorithm focuses on relevance, quality signals, and user engagement metrics. However, discounts can indirectly influence rankings if they lead to improved click-through rates, conversion rates, and positive user signals that Google's algorithm picks up over time.

Understanding the data

The distribution pyramid above compares products with no discount (where regular price equals current price or no regular price is shown) versus products with any discount (where regular price exceeds current price). This binary split isolates the effect of showing a discount vs not showing one.

Lower relative depth percentages indicate higher positions on the page. By examining the density patterns across these two categories, we can see whether discounted products tend to cluster higher or lower in search results.

Context matters for discounts

While the presence of a discount can be important, context matters significantly. Some queries are discount-driven—searches like "cheap laptops" or "kitchen blender under $30" signal value-seeking behavior, and it makes sense that Google would rank discounted products higher for these queries since they directly match user intent. However, Google can be suspicious of massive discounts, particularly on new websites, as one Reddit user noted that "Google treats them as suspicious, particularly on new websites." Extremely high discount percentages (often 70% or more) can trigger quality filters and may result in reduced visibility or account suspensions, as they may be perceived as potential scams or pricing errors.

Explore our related pricing insights to get the complete picture:

Key takeaways

  • Discounts alone don't guarantee higher rankings in organic results
  • User engagement with discounted products may indirectly influence visibility over time
  • Focus on strategic pricing that balances competitiveness with profitability
  • Consider discounts as part of a broader pricing and marketing strategy
  • Quality, relevance, and user experience remain the primary ranking factors

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.

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About this data

This data is sourced from anonymized SERP data collected through the Productrise application. It represents real, organic (non-synthesized) search results from Google Shopping across queries worldwide.

Data details:

  • Time period: Last 30 days
  • Refresh cycle: Every 24 hours
  • Source: First page of Google search results only

Important note: While this data represents genuine search results, it may be influenced by the specific queries and industries tracked by Productrise users. The insights shown here reflect real-world patterns but may be biased toward the product categories and markets most actively monitored within our platform.

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