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How Pret A Manger brews loyalty through smart app design (and what’s missing)

By Sue Azari·Jan 18, 2026·4 min read

Summary

The article examines Pret A Manger's app strategy, highlighting strengths in loyalty via QR codes that provide friction-free rewards and transparent progress display, and in permission marketing that uses custom opt-in flows timed after value demonstration, resulting in higher ATT opt-in rates and better attribution data quality. However, it points out a critical gap: lack of click-and-collect ordering, which competitors like Starbucks and Caffè Nero have made central to their apps, creating a daily habit and measurable omnichannel touchpoints. Without order-ahead, Pret misses opportunities to convert app engagement into offline revenue attribution and to build indispensable utility.

Actionable takeaways for ad ops decision-makers include: (1) leveraging clear value propositions before requesting permissions to improve data quality; (2) implementing order-ahead to close the attribution loop between digital and physical purchases; and (3) using smart deep linking to reduce abandonment across channels. The article emphasizes that measuring how app features drive in-store behavior is crucial for optimizing ROI.

Analyst Note

The article highlights a critical industry signal: loyalty infrastructure alone is no longer a sufficient competitive moat in the quick-service restaurant space. As competitors like Starbucks set user expectations for order-ahead, Pret’s omission creates an omnichannel gap that directly impacts attribution and measurement. For UA managers, the missing click-and-collect functionality means fewer high-intent conversion events to optimize toward and a narrower retargeting pool.

Monetization teams lose visibility into the digital-to-physical purchase journey, weakening LTV prediction models. The key implication is that without ordering capabilities, even strong permission-marketing and loyalty design leave the app as a complementary tool rather than an essential daily utility. From a privacy perspective, the article’s emphasis on timing permission requests after value demonstration is a best practice that directly boosts ATT opt-in rates, improving data quality for campaign optimization.

As privacy regulations tighten, this approach becomes table stakes for any app aiming to maintain robust first-party data pipelines. The takeaway for ad ops professionals: full omnichannel functionality—including order-ahead—is becoming prerequisite for measuring true business impact from app engagement. Without it, attribution gaps persist, and the ability to prove incremental lift from UA spend remains compromised.

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