> ## Documentation Index > Fetch the complete documentation index at: https://docs.markifact.com/llms.txt > Use this file to discover all available pages before exploring further. # Get Price Suggestions > Retrieve AI-powered price suggestions and effectiveness ratings from Google Merchant Center The **Get Price Suggestions** node retrieves intelligent pricing recommendations from Google Merchant Center, including suggested prices, effectiveness ratings, and predicted performance changes. Perfect for data-driven pricing optimization. This is an **AI-powered node** that can understand natural language instructions. *** ## When to Use It * Get AI-powered pricing recommendations * Optimize product pricing for better performance * Understand predicted impact of price changes * Validate pricing decisions with Google's data * Improve click-through rates and conversions * Balance competitiveness with profitability * Automate pricing optimization workflows *** ## Inputs | Field | Type | Required | Description | | ----------- | -------------- | -------- | --------------------------------------- | | **Account** | Dropdown | Yes | Google Merchant Center account to query | | **Fields** | Multi-select | Yes | Suggestion fields to retrieve | | **Filters** | Filter Builder | No | Conditions to filter products | | **Limit** | Number | No | Maximum number of products to return | ### Available Suggestion Fields | Field | Description | Use Case | | -------------------- | ------------------------------- | -------------------------- | | **Product ID** | Unique product identifier | Product identification | | **Title** | Product title | Product recognition | | **Current Price** | Your current product price | Baseline comparison | | **Suggested Price** | AI-recommended price | Optimization target | | **Effectiveness** | Suggestion effectiveness rating | Impact assessment | | **Predicted Change** | Expected performance impact | ROI prediction | | **Price Type** | Type of price suggestion | Strategy understanding | | **Currency** | Price currency | International optimization | | **Country** | Target market | Geographic optimization | | **Last Updated** | When suggestion was generated | Data freshness | ### Effectiveness Ratings | Rating | Description | Recommendation | | ----------- | ------------------------------- | ----------------------- | | **High** | Strong positive impact expected | Implement suggestion | | **Medium** | Moderate positive impact | Consider implementing | | **Low** | Small positive impact | Evaluate carefully | | **Neutral** | Minimal impact expected | Optional implementation | ### Price Suggestion Types | Type | Description | Use Case | | --------------- | -------------------------- | ------------------------- | | **Competitive** | Match market competition | Maintain market position | | **Performance** | Optimize for conversions | Improve sales performance | | **Margin** | Balance profit and volume | Profit optimization | | **Promotional** | Short-term price reduction | Sales boost campaigns | *** ## Output Returns AI-powered pricing suggestions: ```json theme={"dark"} { "price_suggestions": [ { "product_id": "online:en:US:12345", "title": "Apple iPhone 15 Pro 128GB - Natural Titanium", "current_price": { "value": "999.00", "currency": "USD" }, "suggested_price": { "value": "949.00", "currency": "USD" }, "price_change": { "value": "-50.00", "percentage": -5.01 }, "effectiveness": "high", "price_type": "performance", "predicted_changes": { "clicks_change": "+25%", "impressions_change": "+15%", "conversion_rate_change": "+8%", "revenue_impact": "+18%" }, "confidence_score": 0.87, "country": "US", "last_updated": "2024-03-15T10:30:00Z" }, { "product_id": "online:en:US:67890", "title": "Samsung Galaxy S24 256GB - Phantom Black", "current_price": { "value": "899.00", "currency": "USD" }, "suggested_price": { "value": "829.00", "currency": "USD" }, "price_change": { "value": "-70.00", "percentage": -7.79 }, "effectiveness": "medium", "price_type": "competitive", "predicted_changes": { "clicks_change": "+35%", "impressions_change": "+20%", "conversion_rate_change": "+12%", "revenue_impact": "+15%" }, "confidence_score": 0.72, "country": "US", "last_updated": "2024-03-15T09:45:00Z" } ], "summary": { "total_suggestions": 2, "high_effectiveness": 1, "medium_effectiveness": 1, "low_effectiveness": 0, "average_price_reduction": -6.40, "average_predicted_revenue_impact": "+16.5%" }, "account_info": { "account_id": "123456789", "account_name": "Main Store GMC" } } ``` ### Suggestion Fields: | Field | Description | | ---------------------- | --------------------------------- | | **suggested\_price** | AI-recommended optimal price | | **price\_change** | Difference from current price | | **effectiveness** | Expected impact rating | | **price\_type** | Strategy behind suggestion | | **predicted\_changes** | Expected performance improvements | | **confidence\_score** | AI confidence in suggestion (0-1) | ### Predicted Impact Metrics: | Metric | Description | | ---------------------------- | ---------------------------------- | | **clicks\_change** | Expected change in product clicks | | **impressions\_change** | Expected change in visibility | | **conversion\_rate\_change** | Expected change in conversion rate | | **revenue\_impact** | Expected overall revenue impact | *** ## Credit Cost * **Cost per run**: 1 credit *** ## Common Workflows **Price Optimization Campaign:** ``` [Select Accounts] → [Get Price Suggestions] → [Filter High Effectiveness] → [Implement Changes] → [Monitor Results] ``` **A/B Price Testing:** ``` [Get Price Suggestions] → [Select Test Products] → [Split Test Prices] → [Measure Performance] → [Scale Winners] ``` **Competitive Response:** ``` [Get Price Benchmarks] → [Get Price Suggestions] → [Compare Strategies] → [Execute Response] → [Track Impact] ``` **Automated Optimization:** ``` [Get Price Suggestions] → [Filter by Effectiveness] → [Auto-implement High Confidence] → [Report Changes] ``` *** ## Suggestion Analysis ### High Effectiveness Suggestions **Priority implementation candidates:** ``` Fields: Product ID, Suggested Price, Predicted Changes Filter: Effectiveness = "high" Sort: Confidence Score (descending) Action: Implement immediately ``` ### Revenue Impact Analysis **Focus on revenue-positive suggestions:** ``` Fields: Current Price, Suggested Price, Revenue Impact Filter: Revenue Impact > 0 Sort: Revenue Impact (descending) Analysis: Prioritize by revenue potential ``` ### Margin Impact Assessment **Balance optimization with profitability:** ``` Fields: Price Change, Predicted Changes, Product Margin Analysis: Calculate net profit impact Decision: Implement if net profit increases ``` ### Category Performance Optimization **Optimize by product category:** ``` Fields: Category, Effectiveness, Predicted Changes Group By: Category Analysis: Category-level optimization opportunities Strategy: Category-specific pricing rules ``` *** ## Implementation Strategies ### Conservative Approach **Minimize risk while optimizing:** * Implement only high effectiveness suggestions * Start with small price changes * Test on low-risk products first * Monitor closely and adjust quickly ### Aggressive Optimization **Maximize performance improvements:** * Implement high and medium effectiveness suggestions * Accept larger price changes for better results * Focus on revenue impact over margin protection * Scale successful changes quickly ### Balanced Strategy **Optimize performance while managing risk:** * Prioritize high effectiveness suggestions * Consider medium effectiveness for key products * Balance revenue impact with margin requirements * Implement in phases with monitoring ### Data-Driven Testing **Use systematic testing approach:** * A/B test suggestions vs current prices * Measure actual vs predicted performance * Build confidence in suggestion accuracy * Scale based on proven results *** ## Use Cases ### Performance Optimization **Improve product performance metrics:** ``` - Focus on suggestions with high click/conversion predictions - Implement price reductions for better competitiveness - Monitor CTR and conversion rate improvements - Scale successful optimizations ``` ### Revenue Maximization **Optimize for total revenue growth:** ``` - Prioritize suggestions with positive revenue impact - Balance price reductions with volume increases - Test revenue predictions with actual results - Adjust strategy based on performance ``` ### Competitive Positioning **Maintain competitive market position:** ``` - Implement competitive-type suggestions - Match or beat competitor pricing - Monitor market position changes - Respond to competitive moves ``` ### Margin Optimization **Balance profitability with performance:** ``` - Calculate net profit impact of suggestions - Implement suggestions that improve total profit - Consider long-term customer value - Monitor margin impact closely ``` *** ## Best Practices ### Implementation Guidelines: * **Start with high confidence suggestions** (confidence > 0.8) * **Test on representative products** before broad implementation * **Monitor results closely** for the first 2-4 weeks * **Be prepared to revert** if results don't match predictions ### Risk Management: * **Avoid large price increases** unless strongly justified * **Consider seasonal factors** in pricing decisions * **Monitor competitor reactions** to price changes * **Maintain minimum margin requirements** ### Performance Tracking: * **Compare actual vs predicted results** to validate suggestions * **Track key metrics** (clicks, conversions, revenue) closely * **Document successful strategies** for future use * **Adjust implementation based on learnings** *** ## Tips **Suggestion Evaluation:** * **Prioritize high effectiveness** suggestions for implementation * **Consider confidence scores** when making decisions * **Evaluate predicted revenue impact** against margin requirements * **Test suggestions systematically** rather than implementing all at once **Implementation Strategy:** * **Start with low-risk products** to test suggestion accuracy * **Implement gradually** to monitor impact and adjust * **Consider market conditions** when timing price changes * **Document results** to improve future decision-making **Performance Monitoring:** * **Track actual vs predicted performance** to validate suggestions * **Monitor competitive responses** to your price changes * **Adjust quickly** if results don't meet expectations * **Scale successful strategies** to similar products **Integration Approach:** * **Combine with price benchmarks** for comprehensive pricing strategy * **Use with performance reports** to validate optimization impact * **Connect to pricing systems** for efficient implementation * **Feed results back** to improve future suggestions