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“We’re always looking at the same segments, we’re always looking at the same data, we’re always accessing the latest analysis that we’ve done within Civis Platform, so that’s really helped in being that guiding, unifying force for all stakeholders.”

Sr. Director of Customer Data Strategy & Analytics (Global)
David Galinsky
Sr. Director of Customer Data Strategy & Analytics (Global)McDonald’s

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Eliminate duplicate customer profiles to personalize messaging efforts, improve attribution, and develop a comprehensive knowledge of how consumers interact with your brand, from market impression to purchase.

Extend Your Marketing Reach

Leverage third-party data to supplement existing customer data files, and create new audiences for more accurate engagement on a broader scale — e.g., pursuing prospects who purchased similar products from a competitor or partner.

Personalize the Customer Experience

Evolve from a one-to-many marketing approach to true one-to-one interaction by segmenting relevant groups who share behaviors or attributes, and personalizing messages to customers within each segment.

Resources

How Data Is Driving QSR Customer Loyalty

Data is revolutionizing how QSRs build customer loyalty and boost revenue. Here’s how it works.

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What’s next for QSRs: Three strategies to boost success in 2022 and beyond

From the meteoric rise of digital ordering to the aggressive expansion of outdoor dining, the COVID-19 pandemic has drastically changed the ways in which quick-service restaurants operate — and left…

Blog Article
How QSRs can use audience segmentation to supersize marketing impact

With nearly 200,000 quick-service restaurants across the U.S., grabbing — and holding — the attention of consumers is no easy feat. Yet as more quick-service restaurants become data-driven, the ability…

Blog Article
The more you know: how third-party data delivers a complete QSR customer picture

How well do you know your customers?  We mean, really know them.  Not just how they behave when interacting with your quick-service restaurants, but what they do when they’re out…

Blog Article
How identity resolution enables 360-degree views of QSR customers

Wondering why your customer loyalty is lackluster? Struggling to achieve optimal ROI for your loyalty program?  You’re not alone. According to a recent report from Nation’s Restaurant News and Informa…

Blog Article
Driving QSR customer loyalty with data centralization

Over 80 percent of restaurants are turning to technology — everything from online payments to reservation and inventory apps to in-store ordering systems. But few quick-service operators are successfully harnessing…

Blog Article
Four reasons why data analytics are essential to QSR success

The quick service restaurant segment’s adoption of digital tools to improve operations and customer experience has resulted in troves of customer data from disparate systems — from POS and inventory…

Blog Article
Using Data To Intensify QSR Customer Loyalty

Fast food consumers hunger for greater personalization and expanded digital options. Here’s how a major U.S. breakfast chain leverages its first-party data to satisfy that demand, develop new products and services, and nurture fierce devotion.

Case Study
Learn how data powers the personalized loyalty programs QSR customers demand

The Civis Analytics eBook Made to Order: How Data Drives the Personalized Loyalty Rewards Programs QSR Customers Crave explores the foundations and must-have features of a data-driven, personalization-focused loyalty program that benefits QSR customers and brands alike.

eBook
Bringing Big Data to Big Macs: Lessons from McDonald’s Successful Adoption of Data Science for Personalized Marketing

Background: Civis began a data technology partnership with McDonald’s North America Marketing and Data Science teams in late 2017, and — after a year and a half of keeping our…

Blog Article
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Making The Golden Arches A Little More Golden

Learn how we helped McDonald’s boost same-store sales 3–5x with a data-driven marketing strategy.

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“I knew Civis’s Platform would handle a lot of the technical workload that I didn’t have the bandwidth — or my team didn’t have the technical skills — to handle.”

Director of Data Science and Analytics
Major Breakfast Chain

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