Case Study

A Large Pizza Franchise Hyper-personalizes Marketing Campaigns, Improves Purchase Frequency and Average Order Value

Product Used

Outcomes

8%

increase in overall sales

1%

reduction in one-time buyers

16.5%

increase in average recency

The client runs the pizza business for one of the top three pizza brands in the world. They own and operate over 500 stores across 200+ cities, catering to over 50 million orders from 7+ million customers.

The Challenge

The client’s marketing team wasn’t equipped with the right customer insights to personalize their campaigns, which resulted in poor marketing ROI. With Algonomy, they aimed to:

In this fast-paced, digital-first world, we have to make important decisions quickly to keep up with ever-changing consumer needs and preferences. We believe Algonomy will give us a strong data foundation and the insights we need to make better and more timely decisions.

– CFO

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

The implementation of social proof delivered compelling results.

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.

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.

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.

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.

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

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