Why the ‘One‑Yuan Exchange’ Is Really a Battle for Consumer Data Assets

In the summer of 2026, a community supermarket’s freezer is packed with one‑yuan exchange drinks, while store owners, consumers, and distributors all voice dissatisfaction. Yet head brands continue to double down on the promotion.

The author concludes that this phenomenon cannot be explained by a “irrational price war.” It marks a transition from a traditional “shelf war” to a “user‑data war,” where the one‑yuan exchange is merely a low‑cost entry ticket and the real prize is the authentic consumer’s “digital property.”

From a conventional financial perspective, a 3 C beverage with a 1 C margin that offers a one‑yuan exchange appears to lose 2 C per bottle, wiping out profit. However, when viewed as a customer‑acquisition cost (CAC), the same 2 C investment secures a user who can generate 20‑30 C of sales annually, as illustrated by Dongpeng’s financial reports.

Cognitive bias 1: Focusing only on the immediate transaction cost while ignoring the long‑term value of a user asset.

Cognitive bias 2: Ignoring the premium of public‑traffic acquisition. Acquiring a new online customer now exceeds 50 C on platforms like Tmall, whereas a one‑yuan exchange costs only 2‑3 C and yields five‑dimensional data (preference, location, purchase frequency, purchase size, interaction).

Cognitive bias 3: Treating the QR code on the product as merely a redemption tool rather than a data entry point, likened to buying a house but only using the mailbox.

The shift is driven by three macro pressures: the peak of traffic dividends, fragmented channels, and rising user sovereignty. Brands must therefore build private‑domain data bases, and one‑yuan exchange serves as the conduit that converts public traffic into owned assets.

Case study 1 – Farmer’s Spring: The 2025 financial report shows tea revenue surpassing bottled water, attributed to a decade‑long QR‑code ecosystem that continuously tests flavors, maps regional preferences, and refines user profiles.

Case study 2 – Dongpeng: Through the “One‑Yuan Enjoy” program, Dongpeng kept promotion cost ratios low while amassing tens of millions of private‑domain members, turning data into a strong competitive moat.

Most brands fail because they misalign incentives, deliver poor user experiences, collect low‑quality data, or lack the capability to operationalize the data. The article outlines three concrete problems: (1) profit‑distribution mismatch that leaves stores unrewarded; (2) user‑experience flaws such as short redemption windows and cumbersome processes; (3) data assets that sit idle without tagging, segmentation, or automated outreach.

Solution framework:

Profit‑sharing redesign: Offer stores a base verification service fee plus a reward (0.5‑1 C) for each new user they convert; tie distributor rebates to user activity metrics rather than pure volume.

User‑experience optimization: Implement dynamic risk‑control that grants frictionless redemption to trusted users while applying stricter checks to suspicious accounts; extend redemption periods to 60 days and provide multiple redemption channels (in‑store, points, mail).

Data‑asset operation: Automate user tagging using RFM models (e.g., high‑value repeaters, price‑sensitive tasters, dormant users); trigger SOP‑based marketing actions; generate real‑time regional heat maps to guide product development and placement; ensure compliance with personal data protection laws.

The article further tailors implementation paths for different brand sizes: head brands integrate the QR system with CDP/CRM/ERP for a unified “One ID”; mid‑size brands focus on private‑domain conversion to achieve 2‑3× repeat purchase rates; small brands should avoid blind one‑yuan exchange and instead embed the code in niche scenarios (e.g., night‑run events, local cafés) to build a focused “familiar‑face” database.

In conclusion, the one‑yuan exchange frenzy will eventually subside, but the competition for high‑quality user data will intensify. Brands that transform promotional budgets into enduring, quantifiable data assets will secure a sustainable competitive advantage.