Overview
The Product Suggestions page presents Google’s price change recommendations to help optimize your product pricing in Google Shopping. It shows suggested prices along with predicted fractional changes in key performance metrics - impressions, clicks, and conversions. In addition, the page aggregates these recommendations by brand and product type, using average price change percentages to estimate overall conversion changes. This allows you to assess both individual product opportunities and broader optimization areas.
What It Shows
Price Recommendations
Suggested Price:
Displays the recommended price for each product along with the associated currency. This recommendation is designed to help you become more competitive in the marketplace.Effectiveness Score:
An indicator that reflects how effective the suggested price may be in driving improved performance.
Predicted Performance Changes
Change Fractions:
Impressions: Predicted fractional change in impressions.
Clicks: Predicted fractional change in clicks.
Conversions: Predicted fractional change in conversions.
Potential Added Metrics (30-Day):
Potential Added Impressions: Calculated by multiplying the predicted impressions change fraction by current 30-day impressions.
Potential Added Clicks: Derived in a similar manner for clicks.
Potential Added Conversions: Derived in a similar manner for conversions.
Product and Performance Details
Current (Listed) Price:
The current product price is determined using the sale price if available (and lower than the regular price); otherwise, the regular price is used.Performance Data:
Displays recent 30-day performance metrics (impressions, clicks, conversions) that provide context for the recommendations.Product Attributes:
Essential details such as title, description, image, GTIN, and other relevant product information are provided to help you identify each product.
Aggregated Insights
By Brand and Product Type:
The page aggregates price suggestions by brand and product type, including:Average Price Change Percentage: The average suggested price change for products within each brand or product type.
Estimated Overall Conversion Changes: Using the average price change percentage, the page estimates the potential overall conversion lift for each category. This helps identify which brands or product types might benefit the most from pricing adjustments.
How to Use This Page
Review Individual Recommendations:
Examine the suggested price, effectiveness score, and predicted change fractions for each product.
Compare your current (listed) price with the suggested price to understand the recommendation.
Evaluate Predicted Performance Changes:
Look at the calculated potential added impressions, clicks, and conversions to see the expected impact if you apply the suggested price.
Assess Aggregated Data:
Use the aggregated insights by brand and product type to identify broader optimization opportunities.
Check the average price change percentage and estimated overall conversion changes to determine which categories have the greatest potential for improvement.
Prioritize Optimization Efforts:
Focus on products or groups (by brand or product type) where the predicted performance improvements are highest.
Consider adjusting your pricing strategy based on both the individual recommendations and the aggregated data trends.
Tips & Considerations
Fractional Predictions:
The change fractions represent the expected performance improvement (e.g., a fraction of 0.10 implies a 10% increase). Use these values to gauge the potential benefit relative to your current metrics.Context is Key:
Always compare the suggested changes with your current performance data. Not every recommendation will be suitable for every product.Aggregated Insights for Strategy:
The aggregated data by brand and product type can help you identify systemic opportunities for pricing optimization across your portfolio. This targeted approach allows you to allocate resources where they can yield the most significant overall conversion improvements.Regular Monitoring:
Since market conditions and performance metrics can change, review these recommendations regularly to ensure your pricing strategy remains optimal.
Why It Matters
Enhanced Competitiveness:
By aligning your prices with Google’s recommendations, you can improve your product’s competitiveness, potentially increasing visibility and conversions.Data-Driven Decision Making:
The integration of predicted performance changes and aggregated insights allows you to make informed pricing decisions that directly impact your campaign performance.Optimized Performance:
Applying the recommended price changes can lead to higher impressions, more clicks, and increased conversions, ultimately driving higher revenue.Strategic Focus:
Aggregating recommendations by brand and product type helps you pinpoint specific areas for improvement, enabling you to optimize your entire product portfolio more effectively.