Skip to main content

Market Share overview

Updated over 3 months ago

Many brands rely on traditional market share tools to guide their ecommerce strategy. However, these tools often fall short due to fundamental limitations.

The problem with existing market share tools

  • Incorrect categorization - Traditional tools use Amazon’s default category definitions, which rarely align with how brands define their business. This mismatch skews analysis and leads to inaccurate insights

  • Delayed data - Data refresh rates are slow, making it difficult to react to market shifts in time

  • Accuracy concerns - Sales estimates are often unreliable and lack transparency in how they are calculated

  • Lack of explainability - Most tools do not provide visibility into the drivers behind market share changes, leaving brands guessing how to respond

Our approach: Intelligent. Accurate. Actionable.

Intelligent: Your category, your rules

We don’t rely on Amazon’s definitions. Our system uses your category taxonomy and leverages machine learning to:

  • Track market share by your definition of the category

  • Identify patterns and auto-classify relevant SKUs

  • Continuously detect and categorize new SKUs entering the market through our Always-on categorization engine

This ensures that the analysis reflects your actual competitive landscape, not a generic one.

Accurate: Modeled for precision

We combine multiple signals such as Best Seller Rank, Share of Voice, review volume, and more to build category-specific models. This enables us to:

  • Deliver SKU-level sales estimates

  • Maintain 85-90% accuracy at the brand level when compared to Amazon Brand View Pro (ABVP) benchmarks

Actionable: Insights that drive impact

We surface market share data alongside key operational metrics such as:

  • Advertising performance

  • Product availability

  • Promotional activity

  • Share of Voice

Our dashboards are designed to identify the root cause of changes in market share, whether it's out-of-stock rates, lost Buy Box share, or ad performance.

How a leading CPG used CommerceIQ Market Share data to make an acquisition

Problem

  • Brand was using traditional tools for their market share measurement

  • As a result, they did not have visibility into new brands entering the ecommerce space

Solution

  • Launch of CIQ Market Share enabled coverage of the entire category ~60k ASINs

  • New rising brand identified that fortified their portfolio

Impact

  • Saved time and money on the market research, made the build vs buy decision easier

  • Identified the exact brand to acquire which helped in reaching the market faster

Did this answer your question?