Case Studies

CHALLENGE

A quick-service restaurant (QSR) client focused on increasing frequency across the entire customer base lacked the ability to analyze the behavior of non-loyalty guests, a large portion of the overall base.

SOLUTION

The client turned to Bridg’s offline identity resolution capability to understand the behavior of non-loyalty guests and leverage the takeaways in personalized messaging.

Using our insights, they segmented the audience by trip frequency and annual value, quantifying the value of different frequency profiles. After determining the differentiated value of combo meals vs. a la carte items for trip frequency, the client began delivering personalized messages with the products that guests most frequently purchased to decrease time between trips.

Data showed that a guest who returned to the QSR within 90 days was three times more valuable annually!

If you would like to uncover deeper and more meaningful insights about all your customers, especially ones that are non-loyal, contact us today.

CHALLENGE

One of our fast-growing retail client with double-digit stores across the US was facing a problem endemic to brick-and-mortar retailers. They were executing billions of daily in-store transactions but only having the capabilities to identify a small fraction of the customers behind these purchases.

Investments had been made into developing and launching a loyalty program to better understand customer behavior, enhance engagement, and improve measurement capabilities, but the program identification rate stayed stubbornly low.

A vast majority of the in-store shoppers continued to remain anonymous, which translated into inefficient internal marketing and constrained revenue growth in their retail media network.

SOLUTION

Utilizing the retailer’s point-of-sale (POS) transaction data, and its industry leading offline to online identity resolution capabilities, Bridg significantly increased both the number of identified in-store shoppers and transactions attributable to individual consumers.

The retailer now has access to millions of additional privacy-safe, marketable customer profiles with SKU-level purchase history, demographic, socioeconomic, and special interest attributes, that will help them drive personalized and meaningful campaigns to their shoppers.

If your business is looking for ways to identify anonymous customers and uncover deeper insights around spending behavior, reach out to us today! 

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Newly identified customers drive 34%+ increase in conversion rate, 5%+ average frequency and more at quick-service restaurant brand!

CHALLENGE

Our client, a quick service restaurant (QSR) brand with more than 7,000 locations nationwide wanted to target their highest value customers, with a goal to increase customer engagement, drive incremental visits, and increase check size.

The brand needed to confidently identify their highest value customers and estimate a conversation rate that would optimize campaign planning and ROI.

However, they did not have the tools needed to identify and analyze non-loyalty customers, so the scope was constrained to a very small fraction of its customer base.

SOLUTION

Bridg, and our industry leading customer data platform solution, provided our QSR client the tools to identify tens of millions of unknown in-store customers, with access to their item level purchase behavior.

Our client was able to segment loyalty and non-loyalty customers, and define the highest value clients by activity, frequency, and spending habits. They targeted these high value customers through paid social ads, and measured efficiency by leveraging Bridg’s closed loop capabilities. The results? A significant increase in customer conversion rates, visit frequency and average check value!

If your business is looking for ways to identify anonymous customers and uncover deeper insights around spending behavior, reach out to us so we can help you! 

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