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Pizza Hut Case Study

Case Study

Pizza Hut Reduces Customer Churn and Improves Revenue with Algonomy’s Real-time Customer Data Platform (CDP)


Pizza Hut UK is a popular pizza chain with more than 400 stores and 3 million customers.

The Challenge The pizza chain was looking to solve their burning data issue that hindered them from generating deep, actionable customer insights. With Algonomy, they aimed to:

  • Eliminate data silos and get a 360-degree view of each customer to personalize engagement across all channels.
  • Get real-time visibility into customer behavior to drive cross-sell strategies and reverse churn.
  • Improve loyalty and customer lifetime value (CLTV) with persona-driven, targeted marketing.

Products Used

Top Brands Trust Algonomy

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

Particle element
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 affinity and propensity analyses to drive next-best actions, and measure response with campaign and journey analytics.

Omnichannel Marketing Campaigns

Leverage the customer journey orchestration tool to drive automated and trigger-based campaigns by testing and optimizing for increased response rates.

Particle element
Personalized Customer Engagement

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

Want to learn more about Algonomy’s Customer Data Management and Personalized Outbound Marketing capabilities?

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Pizza Hut Case Study