Case Study

A Multinational Conglomerate Creates Unified Customer Views, Drives Personalized Omnichannel Marketing to Improve Conversion Rates and Lifetime Value

  • 10% lift in cross-brand communications
  • 8% reduction in marketing investments
  • 4-5% incremental revenue
  • 1% reduction in churn
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The client is a multinational conglomerate that operates across 40 countries, driving over 30 businesses and 300 brands. They are the master franchise for some of the leading international brands in retail, food & beverage, automotive, engineering, credit, etc.

The Challenge

The scale and complexity of business with multiple brands and multi-country operations meant managing customer data and creating a single source of truth was a challenge. As a result, marketing decisions were more gut-based and shallow analytics-driven. With Algonomy, they aimed to:

  • Centralize their customer data and create Golden Customer Records to understand customer behavioral patterns, ensure better segmentation, and improve data analysis
  • Remove the dependency of running SQL queries to draw basic insights and build models
  • Delivered personalized, contextual messages through SMS, email, app push notifications, and other channels to improve conversion rates and lifetime value of customers

Product Used

Algonomy Personalization Suite:

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Unify Your Customer Data to Drive Personalized Multichannel Marketing and Customer Engagement

Real-time Customer Profiles

Use Algonomy CDP to capture behavioral data in real-time for both known and anonymous customers. Create dynamic segments for activation at scale.

Predictive Customer Analytics

Leverage actionable algorithms to create granular micro-segments. Perform look-alike and propensity analyses to drive next-best actions, and measure response with campaign and journey analytics.

Omnichannel Marketing Campaigns

Leverage machine learning algorithms, advanced analytics, and micro-segmentation tools to automatically orchestrate, test, and optimize personalized campaigns across the entire customer journey.

Personalized Customer Engagement

Leverage data to send the right promotions and content to shoppers, at an individual level. Auto-optimize and eliminate tedious manual A/B tests.

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