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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)

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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

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Top Brands Trust Algonomy

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

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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.

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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.

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Omnichannel Marketing Campaigns

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

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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