Altitude Metisa increases conversion rates and lowers cost of customer acquisition on your custom web and mobile apps by allowing you to create personalized experiences real-time as customers use your app.

The Old Way
Decisions are made on imperfect information: a web of siloed data, insights and actions. Customer experiences are not personalized.
recommendation engine, recommendations
The New Way
Decisions are made based on predictive models and complete data. Customer experiences are personalized real-time based on those decisions.
recommendation engine, recommendations

How It Works

Your app sends customer, product and customer actions to Altitude Metisa. Our machine learning models generates insights and product recommendations on a daily basis. Insights are made available through APIs that you can consume and display on customer-facing web and mobile apps or internal portals.

recommendation engine, recommendations

Use Cases

  • E-Commerce and Retail
    Maximizing customer lifetime value and identifying at-risk customers. Recommendation engine for e-commerce site and marketing.
  • Banking
    Recommendation engine and cross-selling of financial products in consumer banking, private banking and SME banking. Personalization of customer experiences on banking portals and marketing.
  • Property Development
    Identifying high-potential customers for new launches with recommendation engine. Optimizing returns and conversions on various online marketing channels.
  • Travel and Hospitality
    Maximizing customer lifetime value and identifying disengaged customers. Cross-sell products and services to existing customers.
  • Mobile Gaming
    Maximizing customer lifetime value. Recommendation engine for in-app purchases and personalize push marketing.

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