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How Pricen Use Competitor Data in Pricing

At Pricen, competitor data plays a critical role across multiple layers of our pricing strategy and product functionality.

Mia Martikainen avatar
Written by Mia Martikainen
Updated this week

How Pricen Use Competitor Data in Pricing

At Pricen, competitor data plays a critical role across multiple layers of our pricing strategy and product functionality. We incorporate it in the following core areas:

1. Competitive Analytics

We offer detailed dashboards like Competitor Price Index (CPI) and Price Matrix views that allow our clients to benchmark their prices against key competitors (e.g., hebe.pl, notino.pl, etc.). These visual tools help identify whether prices are aligned, overpriced, or underpriced relative to the market, both in index and absolute terms.

📊 Use Case: Commercial managers monitor competitor movements to adjust positioning and pricing policy across key SKUs.

2. Price Simulations

Competitor prices are directly fed into our Price Simulator, enabling users to test and simulate price changes in real time. Users can model different competitive scenarios and observe the potential impact on volume, margin, and price index before deploying changes.

⚙️ Use Case: A category manager simulates what would happen if the product was matched to the lowest competitor in the market or aligned with a market average.

3. Dynamic Pricing Strategy Rules

We enable automated pricing rules that incorporate real-time competitor prices. Users can define strategies such as:

  • Match to lowest/highest/median competitor

  • Maintain specific price index thresholds

  • React only when competitor availability is above zero

Moreover, competitor-based rules can be further conditioned (as seen in your UI) based on:

  • Availability

  • Promotions

  • Cross-elasticity

🎯 Use Case: If a key competitor with high elasticity for a product goes out of stock, the system automatically raises the price to optimize margin.

4. AI & Elasticity Modelling

Historical competitor pricing feeds directly into our AI models to estimate cross-price elasticity. This helps understand how a competitor’s price change affects your own demand, enabling smarter, more predictive pricing decisions.

🧠 Use Case: The AI learns that a 10% price drop at Competitor A leads to a 5% sales drop for your product — enabling pre-emptive pricing strategy updates.

This multi-layered use of competitive data ensures that pricing is market-aware, dynamic, and AI-optimized, giving our customers a clear advantage in competitive environments.

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