深度｜告别手工作坊，AI时代达人营销的底层逻辑彻底变了

Core Insights - The article discusses the challenges faced by domestic AI teams in the "great sailing era" from 2024 to 2025, particularly focusing on growth strategies post-product-market fit (PMF) [1] - It emphasizes the shift from relying on simple marketing tactics to a more nuanced approach that involves influencer marketing and understanding user engagement [2][3] Group 1: Growth Strategies - The growth of companies in the early stages heavily relies on word-of-mouth and influencer marketing, with 90% of users coming from less than 10% of viral content [2][3] - Companies are encouraged to invest in identifying effective content and formats through extensive testing across platforms to replicate successful strategies [2][3] Group 2: Challenges in Influencer Marketing - The influencer marketing landscape is characterized by extreme information asymmetry, leading to high transaction costs and inefficiencies [6] - Companies face structural challenges when trying to collaborate with influencers in overseas markets, including difficulties in finding suitable partners and understanding their audience [7][8] Group 3: Pricing and Delivery Issues - Influencer marketing operates in a non-standardized market where pricing can vary significantly based on subjective factors, complicating negotiations [9] - Delivery timelines can be unpredictable due to factors like holidays and influencer availability, leading to risks in content production [10] Group 4: Technological Advancements - The emergence of advanced AI models enhances the ability to understand and judge influencer marketing effectiveness, moving beyond traditional recommendation algorithms [14][15] - Aha, a new platform, aims to streamline influencer marketing processes by utilizing AI to match brands with suitable influencers and automate pricing mechanisms [16][22] Group 5: Aha's Solutions - Aha's system redefines influencer matching by using AI to analyze content and audience fit, improving the efficiency of the selection process [20][28] - The platform also implements a dynamic pricing engine that calculates costs based on multiple factors, reducing reliance on subjective pricing [22][29] - Aha enhances collaboration efficiency by automating communication and contract processes, ensuring that brands can manage influencer relationships more effectively [27][31] Group 6: Future Outlook - The article concludes that the future of AI companies in overseas markets will depend on building a systematic approach to influencer marketing, transforming it into a predictable and calculable process [46] - Aha's advancements suggest a shift towards leveraging technology to free marketers from mundane tasks, allowing them to focus on strategic decision-making [47]