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Competera Case Studies

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Competera’s predictive models helped Balsam Brands to generate a 3.4% gross margin uptick and manage inventory sellout during the holiday season 2020 more effectively Case study Demand-driven price reduction recommendations for Balsam Brands
Learn how Vimos, a DIY retail chain, used Competera Price Optimization to grow revenue on 12.3%, save profit during the low season, and streamline the pricing process Case study Price Optimization: 12.3% revenue uplift for DIY retailer
How to maintain a profit margin while liquidating excess inventory and speeding up repricing. Case study Increasing revenue and sales across 100 price zones
Consumer electronics retailer Foxtrot uses Competera to boost revenue by 13.6% Case study Price Optimization Solution: Boosting Revenue While Maintaining Margin
Faster and smarter repricing, better market coverage Case study Competition-based price optimization at Wiggle
Discover how omnichannel electronics giant achieved 4% growth in key business indicators from price recommendations powered by Neural Networks. Case study 4.5% uplift in gross profit after using demand-based engine
How to maintain a profit margin while liquidating excess inventory and speeding up repricing. Case study Markdown Optimization Solution: Saving Profit Margin
Successful-with-Competera story of Lithuanian retailer who restricted any mentions of the brand or industry in this case study to keep that advantage Competera provides. Case study Setting optimal prices across five European markets
Successful-with-Competera story of Lithuanian retailer who restricted any mentions of the brand or industry in this case study to keep that advantage Competera provides. Case study Improving revenue by 9% with the help of AI
Successful-with-Competera story of Lithuanian retailer who restricted any mentions of the brand or industry in this case study to keep that advantage Competera provides. Case study Tenfold operations costs savings thanks to high-quality competitive data
Before Competera, “Citrus” analyzed the prices of competitors on its own. Such analysis was partially correct but very resource-intensive and included human errors. Case study Citrus.ua: Adaptive pricing
Successful-with-Competera story of Lithuanian retailer who restricted any mentions of the brand or industry in this case study to keep that advantage Competera provides. Case study The Retailer Who Must Not Be Named Case Study
How an international retailer uses Competera Competitive Data to outperform its rivals on different markets and for further retail expansion. Case study Case Study on How RDE.lt Uses Competera Products
F.ua obtained growth across all metrics: its quantity share by 6.8%, financial by 2.4%, the share of category in marginal revenue by 1.3% Case study Competitor-based repricing increased turnover and revenue at F.ua
Softcube analyzes customer data in order to recommend the most relevant products, and Competera warrants that the goods are sold at the most attractive price. Case study Allo increased its CTR 2.5 times with Softkub and Competera
Competera Price Intelligence: Ulmart decreased the customer's attraction costs and increased profits without conversion loss Case study Ulmart improved customer acquisition cost ROI, and margins growth
Comfy developed new pricing scenarios for increase in demand for its products through its customer acquisition channels Case study Comfy analysed demand elasticity for all acquisition channels
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London Tech Week

Now Tech: Pricing and Promotion

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