高考录取启动：千问接入EMS上线通知书实时追踪与提醒

This article covers Qianwen Gaokao’s new integration with China Post EMS, which has launched real-time admission letter tracking and reminder services to provide gaokao (national college entrance examination) candidates with end-to-end support for college application and admission letter inquiry. Key takeaways are as follows:

1. How the new feature works: Qianwen Gaokao’s application calendar will actively push admission letter logistics reminder notifications to candidates. After users grant advance authorization, they will receive automatic alerts when their admission letter is shipped and when its tracking status updates, and can view real-time logistics trajectories. Users can also manually input tracking numbers to look up shipments, and book EMS delivery directly on the page.

2. Existing supporting services: In addition to admission letter tracking, Qianwen Gaokao helps candidates clarify application rules and policies, breaks down complex application decision-making into clear to-do steps, and generates personalized application reports and suggestions. As of July 8, 23 million users have claimed free application reports, and over 70% of users use the product heavily across multiple consecutive days. A case study of Henan candidates confirms the practical value of its services.

This article presents a complete case of scenario-based brand operation by Qianwen around the gaokao timeline, with valuable takeaways for customer acquisition and user management. Key insights include:

1. User operation strategy: Qianwen addresses the full spectrum of gaokao candidates’ needs, covering core pain points from early-stage application guidance to post-application admission letter tracking, which effectively boosts user engagement. Data shows over 70% of users use the product heavily over multiple consecutive days, delivering outstanding user retention results.

2. Customer acquisition and trust-building: By offering core basic services for free, Qianwen accumulated 23 million claimed application reports in a short period, achieving extremely high acquisition efficiency. It also addressed candidates’ anxiety while waiting for admission letters by partnering with a trusted third-party authority—China Post EMS, and leveraged the partner’s credibility to boost its own brand trust. This approach of scenario-based operation, centered on major seasonal events and integrated with third-party resources, is a valuable reference for other brands.

This article shares market insights on the college admission services sector, offering opportunity alerts and operational references for industry sellers. Key takeaways are as follows:

1. Market opportunity insight: Demand for college admission assistance services among gaokao candidates is very strong, and the free basic service model enjoys high market recognition. The 23 million total claims of free application reports from this campaign confirms that the sector still has substantial room for growth, and there are many incremental opportunities to expand services along candidates’ full application journey.

2. Actionable operational takeaways: Sellers offering college admission services should cover the full user journey from application to enrollment, break down complex application processes into clear to-do steps to lower users’ decision barriers, and deliver personalized recommendations based on candidates’ region, profile and admission needs to boost satisfaction. Partnering with authoritative third parties can also enhance service credibility, and offering free basic services to quickly attract users before monetizing through follow-up services is a model that has already been proven viable.

This case offers valuable insights for factories pursuing digital transformation and expanding direct-to-consumer service businesses. Key takeaways are as follows:

1. Product design insights: When developing digital products or expanding D2C services, factories should design offerings around the full user journey, break down complex processes into clear, step-by-step to-dos to lower the barrier to entry for mainstream users, align with general consumer habits, and boost usage frequency.

2. Customer acquisition and trust-building insights: When launching new digital services, factories can adopt a free basic service model to quickly accumulate users and build market awareness. Proactively partnering with established industry third-party authorities can rapidly boost the credibility of a factory’s products and services, and reduce users’ decision anxiety.

3. User experience improvement insights: Prioritizing personalized services and delivering customized solutions aligned with users’ differentiated characteristics can effectively boost user satisfaction and build positive word-of-mouth, just as Qianwen earned user recognition by tailoring recommendations to candidates’ regional admission requirements and personal profiles.

This article outlines user pain points, emerging industry trends and proven solutions in the AI-powered college admission services sector. Key insights are as follows:

1. Core user pain points: Gaokao candidates have long faced unaddressed pain points including asymmetric application information, confusing and complex application processes, and unresolvable anxiety while waiting for admission letters. Traditional services cannot fully meet these demands, leaving gaps in the market.

2. A proven mature solution: Large AI models can deliver free personalized application services, break down complex processes, and send active alerts for key timeline milestones. They can also integrate resources from traditional authoritative institutions to fill gaps in demand such as logistics tracking, enabling full-cycle service coverage for candidates that resolves core pain points.

3. Emerging industry trends: AI has rapidly penetrated vertical livelihood-focused scenarios such as college admission services, and the AI service model that integrates with traditional authoritative resources has already earned user acceptance. Data shows 23 million users have claimed free reports and over 70% are frequent users, confirming the model’s viability. AI-enabled livelihood services still hold enormous growth potential going forward.

The partnership between Qianwen and EMS offers valuable operational and service expansion references for platform businesses. Key insights are as follows:

1. Service expansion strategy: Platforms should expand services to cover the full user lifecycle, and proactively integrate complementary third-party resources to fill gaps in their own service offerings. Qianwen already offered college application services, and integrating EMS’ logistics tracking completed the last mile of service for candidates from application to admission letter delivery, effectively boosting user engagement and activity.

2. User operation lessons: For complex user needs, platforms can break down requirements into clear individual to-do steps and guide users through the process via active push reminders. This not only lowers the barrier to use, but also effectively boosts user open rates and usage frequency. The data showing over 70% of users return for frequent use across multiple days is a direct result of this operational approach.

3. Customer acquisition reference: Platforms can open basic services for free to achieve rapid user acquisition and accumulate large user bases. In this campaign, Qianwen distributed 23 million free application reports and gained massive traffic in a short time, making this model well-suited for platform cold starts and new user acquisition.

This article presents an updated case of vertical large language model deployment, reflecting new industry trends and offering high reference value for relevant research. Key insights are as follows:

1. New industry trends: Large AI models have moved beyond general-purpose applications to concrete vertical livelihood-focused scenarios, with college application services being a typical example. The deployment model that combines AI with traditional industry authoritative resources has already been proven viable, as demonstrated by the Qianwen and EMS partnership. AI handles information organization and personalized recommendation, while traditional institutions deliver authoritative logistics services, and complementary strengths deliver a superior user experience.

2. Business model validation: The business model of acquiring users via free basic services and boosting engagement through full-process demand coverage has been validated by users in the AI + livelihood services space. Data as of July 8 shows 23 million users have claimed free application reports, with over 70% returning for frequent consecutive use, indicating very high user acceptance of this model.

3. Research implications: AI deployment in vertical sectors does not need to start with high-end paid services. A model of free basic services paired with incremental offerings aligned with user demand makes it easier to acquire large-scale users and penetrate the market quickly. Partnering with existing traditional industry resources can also rapidly boost credibility and lower barriers to deployment, opening a new direction for future research on vertical AI deployment.