当AI产品开始拼势头，如何做好规模化达人营销这道必答题？

Core Insights - AI applications are facing an unprecedented homogenization crisis, making it increasingly difficult to establish long-term competitive advantages based solely on product features [1][2] - Momentum, defined as the ability of a product to be continuously used and shared, has become the most significant competitive moat in the AI industry [2] - The key to generating momentum lies in scalability and extreme distribution efficiency, as the marginal cost of product development approaches zero [3] Group 1: Challenges in Influencer Marketing - The scalability paradox in influencer marketing presents a natural conflict between scale and execution efficiency, as managing a larger number of influencers increases uncertainty [4][5] - Traditional solutions to scalability issues include either increasing in-house teams or hiring agencies, both of which have their own advantages and disadvantages [6][8] - In-house teams provide high-quality execution but can become unmanageable as project scales increase, leading to inconsistent output quality [7] Group 2: Aha's Innovative Approach - Aha aims to optimize both execution and supply issues in influencer marketing by utilizing AI to handle the execution burdens traditionally managed by human teams [9] - Aha has developed a matching system that leverages a large model to connect brands with over 5 million vetted influencers across various real-world scenarios [11][12] - The platform's approach allows brands to find content expressions that closely align with real decision-making paths in different markets [13] Group 3: Pricing and Efficiency - Aha has implemented a "one-price system" to reduce friction in pricing negotiations, allowing brands to confirm influencer collaborations quickly [17] - The platform provides a visual management system that tracks all stages of influencer collaboration, enhancing transparency and efficiency [18][24] - Aha's system automates data collection and performance tracking, significantly reducing the manual workload for brands [26][28] Group 4: Risk Management and Compliance - Aha offers a platform-level safety mechanism to manage risks associated with influencer collaborations, ensuring that all influencers undergo identity verification and data authorization [29] - The platform includes a multi-stage anti-fraud system to filter out accounts with suspicious activity, ensuring that brands collaborate with genuine creators [31] - Aha's compliance and safety measures are integrated into the platform, providing a clear legal framework for all collaborations [31] Group 5: Case Studies and Impact - Aha has successfully served over a hundred AI tech companies, including major players like Alibaba, demonstrating its effectiveness in scaling influencer marketing [37] - The case of Pixso illustrates how Aha transformed influencer marketing from a labor-intensive process to a systematic operation, significantly improving efficiency [39][42] - Brands using Aha have reported efficiency improvements of over 80%, with faster turnaround times for influencer collaborations [42][43]