Pinky 2.0’s new capabilities are grounded in personalized, data-driven insights, empowering
independent grocers to serve shoppers with precisely what they need at the right moment. Key
among the features is the ability to highlight the most relevant coupons for shoppers, based on
their historical purchase activity and coupon engagement. With Pinky 2.0, a shopper’s
behavior—whether they have engaged with coupons previously or not—is now a significant factor
in determining which offers are presented to them. This allows for a hyper-targeted approach to
coupon display, ensuring that the offers are not only personalized but also aligned with each
shopper’s unique habits.
The collaborative algorithm built into Pinky 2.0, can infer shopper preferences by analyzing
behavior patterns across similar customers. This machine-learning technology creates a more
accurate picture of what drives purchase decisions, leveraging insights from a collective shopper
pool to refine coupon recommendations. As a result, each shopper’s experience becomes more
tailored and effective over time.
The results speak for themselves: A/B testing has demonstrated impressive gains, with +15%
increases in both coupon clip rates and redemption rates. These figures reflect not only the power
of the enhanced system but also the growing appetite among consumers for rewards that feel
relevant, timely and personal.
Jeremy Rabe, AppCard’s Chief Growth Officer, said: “These enhancements mark a transformative
moment for independent grocers. By tailoring offers and recommendations to individual shoppers
based on their behavior and preferences, we’re not just improving redemption rates—we’re
enhancing the overall shopping experience. This is the future of personalized retail, and we’re
proud to be leading the way.”Assaf Sinvani, VP of Research and Development, said: “The collaborative algorithm is a
game-changer. By factoring in different shopper segments and leveraging data from similar
customer profiles, we can predict and cater to a much wider range of preferences. This kind of
precision is what makes the system stand out in a crowded marketplace.”
Andrey Rubshtein, Lead AI Scientist, said: “We are leveraging state-of-the-art algorithms to deliver
the best possible customer experience. It’s exciting to witness the intersection of technology and
business needs. We remain committed to advancing and refining cutting-edge technology.”
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