How to Achieve 100% User Growth and 15x ROI: A Pizza Nova Use Case

Aislelabs has put together a new case study based on their client Pizza Nova who achieved impressive results.

We are pleased to announce that we have released a new case study focusing on Pizza Nova. The Canadian pizza chain was founded on May 12th, 1963 by a young family of Italian immigrants and has grown to 140 outlets across Ontario.

In an effort to drive repeat footfall and increase sales using marketing technology, Pizza Nova found challenges in building their CRM efficiently. Not only were there obstacles for online customer acquisition, but offline as well with a large majority of customers visiting physical locations.

With our enterprise-grade WiFi marketing and location analytics, Pizza Nova witnessed impressive results. They were able to build a rich CRM with hundreds of thousands of user opt-ins and drove sales. Here’s what Ali Kiafar, Director of IT for Pizza Nova, said about our platform:

Aislelabs helped us to create an emotional experience with our customers. We are now able to better anticipate our customer expectations and have built a strong brand loyalty. We are constantly exploring Aislelabs platform to engage with our customers and are keen on sharing our learnings with our peers.

This new case study details how the Aislelabs product suite helped Pizza Nova leverage collected demographic and behavioural information from each customer for intelligent segmentation and targeting. It presents how the product suite assessed the in-store and online Return On Investment (ROI) for each campaign, evaluated purchases after a digital campaign had been executed, and what the effect of enabling the Aislelabs solution across 140 stores resulted in. You can learn more about it here.

 

About Aislelabs

Aislelabs is a technology company assisting retailers to increase sales through the power of big data analytics. Our mission is to transform retail locations to smart stores, resulting in effective marketing, increased sales, and better customer satisfaction.

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