Case Studies

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, drop us a line at hello@bridg.com.

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Increased match rates for loyalty and non-loyalty identified transactions drives incremental lift at fast-casual restaurant brand!

CHALLENGE

Our client, a national fast-casual restaurant brand, was looking to gain a more accurate view of their customers’ loyalty behaviors and purchasing patterns by capturing non-disclosed loyalty transactions. Non-disclosed loyalty transactions remain hidden to brands because customers either do not identify themselves at checkout or use an unrecognizable card. Our client suspected that some loyalty customers were making purchases without using their loyalty ID and wanted to identify closer to 100% of those transactions.

SOLUTION

Bridg leveraged more recent identification enhancements to increase match rates for the brand’s previously unidentified transactions. Our industry leading and recently enhanced identity resolution solution delivers significantly higher identification rates, match rates and match quality—even where client data quality and coverage vary.

Based on an eight-month test, Bridg delivered a match rate of 76%, an 18.06% increase from the company’s previous baseline. Since the test period, Bridg has run core matching and enhanced identification in parallel and maintained this higher match rate as the new baseline, identifying more than 30 million incremental loyalty and non-loyalty transactions, thus deepening the brand’s understanding of their loyalty base's purchasing behaviors.

Bridg is constantly refining and expanding our transaction matching capabilities to deliver results to clients as the data landscape continues to change.

If your business is looking for ways to identify anonymous customers and uncover deeper insights around spending behavior, drop us a line at hello@bridg.com.

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