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Measuring Product Performance on Amazon

Measuring Product Performance on Amazon

Measuring Product Performance on Amazon

Measuring Product Performance on Amazon: A Structured Diagnostic Approach

Introduction/Problem Statement

After investing time and resources into optimizing product listings, it's crucial to assess whether these efforts are succeeding. Determining success is more complex than simply checking sales numbers; it requires a sophisticated evaluation system to understand the factors influencing performance shifts.

Concept Definition/Overview

Product performance diagnostics involve evaluating key metrics across visibility, seasonality, competition, advertising impact, and content changes. It aims to not only measure performance outcomes but also identify causality.

Methodology/Analysis Factors

Key Metrics/Differences

  • BSR Trend: Did BSR improve month over month?

  • MoM Sales vs. Seasonality: Did sales exceed seasonal forecasts?

  • MoM Impressions vs. Seasonality: Did impressions surpass seasonal predictions?

  • YoY Benchmarking: How do sales and impressions compare year-over-year?

  • Conversion Rate Movement: Did the conversion rate increase or decline?

Note: Share of Voice % can be used, but it is primarily a brand-level metric and should be reviewed separately.

Implementation Steps/Strategies

After performance is categorized as positive, negative, or flat, further analysis identifies contributing factors.

Main Content

Specific Approaches/Solutions

  • Your Price: Monitor product pricing changes.

  • Competitor Prices: Track competitor pricing trends.

  • Seasonal Drop: Recognize expected dips in demand.

  • Negative Reviews: Count recent negative reviews on your product.

  • Negative Reviews on Page: Monitor negative sentiment across the listing page.

  • Number of Competitors: Observe changes in competition volume.

  • Buy Box/Deactivated: Ensure listing activity and Buy Box retention.

  • Badge: Verify presence or loss of Amazon badges (e.g., Amazon's Choice, Best Seller).

Advertising Analysis

  • Advertising Spend Level: Track advertising investment levels.

  • ACoS: Monitor efficiency of advertising spend.

  • Ad CTR: Check ad engagement through click-through rates.

  • TACoS: Evaluate advertising impact on total sales.

Content Change Check

Did Content Change?: Review updates in product titles, images, or bullet points to assess impact.

Best Practices

Tips and Tricks

  • Set up automated trackers for MoM and YoY benchmarks.

  • Utilize tools like Helium 10 or Jungle Scout for competitor monitoring.

  • Monitor Buy Box status and listing health regularly.

Special Considerations

  • Account for seasonality before interpreting a decline as negative.

  • Prioritize addressing impactful negative reviews (e.g., quality issues).

Advanced Techniques

  • Integrate advertising diagnostics with organic performance for comprehensive insights.

Benefits/Impact

Using a structured approach to product performance diagnostics ensures:

  • More accurate evaluation of optimization success.

  • Clear identification of factors influencing performance.

  • Smarter allocation of budget and resources.

  • Enhanced confidence in strategic decision-making.

Conclusion

Product performance analysis on Amazon demands a disciplined, multi-factor methodology. Systematic tracking and evaluation of sales, impressions, conversion rates, pricing, competition, advertising, and content changes enable data-driven improvements and sustainable success.