A Large Pizza Franchise Hyper-personalizes Marketing Campaigns, Improves Purchase Frequency and Average Order Value
The Results
- Leveraging Algonomy’s solution stack and managed services, McDonald’s is now able to reach out to their installed base of customers across 6 different channels and has till now created over 44 Million engagement opportunities.
- McDonald’s has executed over 5K campaigns – the volumes of which have grown 12% MoM over a year.
- Specific campaigns focused on win-back / cross-channel acquisition have shown significant results with conversion rates of ~9%.
- With such a precise targeting strategy, the omnichannel customers have increased by over 40% in the last 18 months, with CRM focused campaigns driving 1 in 5 omnichannel users.
- Customers using McDelivery Services (app/website) have also increased by 33% YOY.
The Client
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:
- Integrate their customer data across online and offline channels to create a unified view of each customer.
- Create granular customer segments and gain a deeper understanding of customer journeys.
- Personalize marketing with respect to each customer’s preferences, transactional behavior, lifecycle stage, and promotional activity.
1 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.
2 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.
3 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.
4 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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