Cross-sell/Up-sell Recommendation Engines
Improve marketing RoI with hypertargeted campaigns
Overview
Gather valuable insights from consumer data and provide effective and personalized upsell and cross-sell strategies with predictive analytics and AI. Predict customer needs and provide accurate recommendations and effective solutions that enhance the customer experience.
Solution
Upsell and cross-sell provide the customers with a better-priced product and recommend a complementary product respectively to the existing customers. Upsell/cross-sell techniques give businesses the power to leverage customer behavior to optimize customer service efforts. These techniques provide the customers with customized product suggestions, leading to improved customer lifetime value and revenues for businesses.
Capabilities
E-Commerce
Banking
Cross selling and up selling techniques play a crucial role in the success of an e-commerce company. The potential of predictive analytics and AI together helps to effectively identify similar products to the customer. Numerous parameters like items in cart, liked products, frequently searched products are considered to suggest cross selling and up selling items.
Banks can promote their products by analyzing customers spending behaviour using ML algorithms to give personalized product recommendations. Financial products like loans, and investment options can be strategically directed to the customers at the right time considering the financial situation of customer by utilizing the benefits of upsell/cross sell algorithms.
Business Impact
Increased customer loyalty
Increased revenues
Increased customer Satisfaction
Resources
Case Studies
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