千峰访谈AhaCreator彭姗：把达人营销做成品牌可以长期调用的全球增长基础设施

作者：亿邦动力文章来源：亿邦动力

2026-11-09 11:25

作者：亿邦动力文章来源：亿邦动力

2026-11-09 11:25

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总1：这篇文章的核心干货是AhaCreator如何用AI把海外达人营销做成可规模化、可复用的交易基础设施。

1.业务模式：平台连接品牌与创作者，品牌提出需求、确认人选与报价，创作者制作发布，平台连接匹配、沟通、交付和结算，按内容交付和使用权益收费。

2.落地环节：平台用多模态分析达人近期视频的画面、文案、受众与互动，推进多语言建联、报价协商、订单管理、交稿修改、发布管理、数据汇总、合同与跨境结算及内容预审；品牌保留创建Campaign、确认达人与报价、审核内容、查看数据复盘四个节点。

总2：普通读者可重点看案例数据与实操启发。

1.案例数据：智能硬件品牌在五大洲19国完成1,000条UGC，48小时筛约300—400位达人，通过率超70%，每人3—4条，不到一个月交付，平均CPM低于4美元。

2.实操启发：先明确受众、场景和内容要求，再用达人历史内容与交付记录匹配，重复执行交给AI，关键判断留给人。

总1：品牌可把海外达人营销做成可长期调用的全球增长基础设施。

1.品牌营销与内容：真正穿透用户心智的是真实的人在真实场景中把产品讲出来，AI负责重复执行连接，团队可同时推进更多合作。

2.渠道与本地化：达人网络覆盖140多个国家和地区及Instagram、TikTok、YouTube、X、LinkedIn等平台，本地化要落到触达目标人群、真实使用场景、当地表达、寄样和交付条件。

3.成本与价格竞争：平台按约定的内容交付和使用权益收费，案例中平均CPM低于4美元，说明规模化合作可降低内容成本。

总2：品牌还要关注用户行为与产品测试。

1.用户行为判断：平台通过多模态分析达人近期视频画面、文案、受众与互动，判断产品能否自然进入其内容。

2.产品与热点测试：头部大厂AI视频生成产品月度合作消耗超50万美元，部分追热点项目3—5天从想法到发布，客户可参考达人过去内容表现、交付速度和合作记录快速找人。

3.管理节点：品牌保留创建Campaign、确认达人与报价、审核内容、查看数据复盘四个关键判断节点。

总1：卖家可从这篇文章看到海外达人营销的增长市场、合作模式与风险提示。

1.增长市场：达人网络覆盖140多个国家和地区及多个社交平台，品牌可在具体国家、品类和预算下持续开展合作，平台还通过飞书集成、蓝色光标和明略科技合作补充客户需求、全球营销经验与数据洞察。

2.消费需求变化：品牌希望以更低成本规模化合作并持续产出高质量内容，创作者希望获得适配订单、合理报酬和可靠结算，平台据此连接匹配、沟通、交付和结算。

3.事件应对与机会：部分追热点项目能在3—5天内从想法走到发布，客户有新功能或热点需求时可参考达人过去内容表现、交付速度和合作记录快速推进。

总2：卖家也要注意竞争风向和可学习点。

1.风险提示：基础模型能力普及后单点功能容易被复制，真正需要时间积累的是活跃供需网络和复杂项目履约信任。

2.可学习点：平台按约定内容交付和使用权益收费，品牌保留四个关键判断节点，复杂工作流、交易数据、交易网络与供给密度、交易习惯、跨平台能力构成壁垒。

总1：工厂可从案例中理解产品如何被内容化，以及跨境寄样交付的要求。

1.产品展示需求：真正能穿透用户心智的是真实的人在真实场景中把产品讲出来，平台先明确目标受众、使用场景和内容要求，再通过多模态分析判断产品能否自然进入达人内容。

2.寄样与交付条件：高单价智能硬件项目要求达人已经拥有设备，免去寄样和跨境物流等待；本地化还要看寄样和交付条件能否满足。

3.内容质量：内容预审核对字幕、口播和画面，把不符合Brief的地方定位到具体片段。

总2：工厂推进数字化和电商可借鉴平台工作流。

1.数字化连接：平台把多语言建联、报价协商、订单管理、交稿与修改跟进、发布管理、数据汇总、合同与跨境结算纳入同一流程。

2.团队分工：SeaArt案例中系统承担画像初筛、初步触达、合同信息整理和进度跟进，团队把更多时间放在品牌调性、内容策略和测试迭代。

3.商业机会：智能硬件品牌在19国完成1,000条UGC且不到一个月交付，显示规模化内容生产存在需求。

总1：服务商可关注AI达人营销从工具走向履约基础设施的行业趋势。

1.行业趋势：未来两年竞争会从谁提供更多功能，转向谁能帮品牌持续完成全球营销的交付；基础模型能力在普及，单点功能容易复制，活跃供需网络和复杂项目履约信任更需积累。

2.新技术应用：平台用多模态分析达人视频的画面、文案、受众与互动，推进多语言建联、报价、订单、交稿修改、发布、数据汇总、合同与跨境结算及内容预审。

3.客户痛点：SeaArt过去达人筛选、触达和逐单跟进分散在表格、邮件与私信里，多国家合作还会增加找人、沟通和跟进人手。

总2：解决方案与生态协同值得服务商借鉴。

1.平台方案：双边交易平台连接品牌与创作者，按约定内容交付和使用权益收费，品牌保留四个关键判断节点。

2.生态合作：通过飞书集成推进日常协作中的选人、报价、内容审核和进度管理，与蓝色光标合作带来行业客户需求和全球营销经验，与明略科技合作补充数据与洞察。

3.能力壁垒：复杂工作流、交易数据、交易网络与供给密度、交易习惯、跨平台能力构成五层壁垒。

总1：平台商可观察双边交易平台如何组织供需、履约和生态合作。

1.商业需求与问题：品牌希望以更低成本规模化合作并持续产出高质量内容，创作者希望获得适配订单、合理报酬和可靠结算；平台需连接匹配、沟通、交付和结算。

2.平台最新做法：品牌提交产品和Brief后，平台明确受众、场景和内容要求，用多模态分析达人近期视频，推进多语言建联、报价协商、订单管理、交稿修改、发布管理、数据汇总、合同与跨境结算及内容预审。

3.招商与供给运营：真实有预算的品牌订单吸引适配达人，合理报酬、可靠结算和后续合作机会让达人持续参与；具体市场品类中能响应、能交付的达人越多，品牌越容易开展下一轮合作。

总2：平台运营管理和风向规避有明确抓手。

1.管理节点：品牌保留创建Campaign、确认达人与报价、审核内容、查看数据复盘四个关键判断节点。

2.壁垒建设：复杂工作流、交易数据、交易网络与供给密度、交易习惯、跨平台能力构成五层壁垒。

3.风向规避：单点功能易复制，应积累活跃供需网络和复杂项目履约信任，并从解决怎么落地走向营销智能。

总1：访谈呈现AI与出海驱动下达人营销的产业新动向和平台化商业模式。

1.产业新动向：AI把找人、沟通、跟进等重复执行连接起来，品牌可同时推进更多合作；达人网络覆盖140多个国家和地区及多个平台，竞争从更多功能转向持续完成全球营销交付。

2.新问题：基础模型能力普及，单点功能容易复制，真正需时间积累的是活跃供需网络、复杂项目履约信任和交易数据。

3.商业模式：AhaCreator是双边交易平台，品牌提出需求、确认人选与报价，创作者制作发布，平台连接匹配、沟通、交付和结算，按约定内容交付和使用权益收费。

总2：研究可关注飞轮、壁垒与下一步营销智能。

1.两层飞轮：供需网络由品牌订单吸引达人、达人反馈带来更多供给；交易数据记录选择、拒绝、价格、授权、修改、交付和效果，用于下一次匹配、议价和风险判断。

2.五层壁垒：复杂工作流、交易数据、交易网络与供给密度、交易习惯、跨平台能力。

3.启示：技术帮助执行规模化，经验帮助理解复杂需求；下一阶段从怎么落地走向营销智能，支持品牌判断先测哪个市场、哪类内容值得追加投入。

声明：快读内容全程由AI生成，请注意甄别信息。如您发现问题，请发送邮件至 run@ebrun.com 。

我是品牌商卖家工厂服务商平台商研究者帮我再读一遍。

Quick Summary

Summary 1: The core takeaway is how AhaCreator uses AI to turn overseas creator marketing into scalable, reusable transaction infrastructure.

1. Business model: The platform connects brands and creators. Brands submit needs and confirm creators and quotes; creators produce and publish content; the platform handles matching, communication, delivery, and settlement, charging based on content delivery and usage rights.

2. Execution: The platform uses multimodal analysis of creators' recent videos—visuals, copy, audience, and engagement—to support multilingual outreach, quote negotiation, order management, revision follow-up, publishing management, data aggregation, contracts and cross-border settlement, and content pre-review. Brands retain four checkpoints: creating campaigns, confirming creators and quotes, reviewing content, and reviewing performance data.

Summary 2: General readers should focus on case data and practical lessons.

1. Case data: An intelligent hardware brand completed 1,000 UGC pieces across 19 countries on five continents. It screened about 300–400 creators in 48 hours, with a pass rate above 70%; each creator delivered 3–4 pieces; delivery took less than a month; average CPM was below $4.

2. Practical lessons: Define audience, scenarios, and content requirements first; then match creators using their historical content and delivery records; leave repetitive execution to AI and key judgments to people.

Summary 1: Brands can turn overseas creator marketing into a long-term, callable global growth infrastructure.

1. Brand marketing and content: What truly penetrates audience minds is real people explaining products in real scenarios. AI handles repetitive execution and connections, allowing teams to pursue more collaborations at once.

2. Channels and localization: The creator network covers more than 140 countries and regions and platforms including Instagram, TikTok, YouTube, X, and LinkedIn. Localization must address reaching target audiences, real usage scenarios, local expression, product seeding, and delivery conditions.

3. Cost and price competition: The platform charges based on agreed content delivery and usage rights. In the case, average CPM was below $4, showing that scaled collaboration can lower content costs.

Summary 2: Brands should also focus on user behavior and product testing.

1. User behavior assessment: The platform uses multimodal analysis of creators' recent video visuals, copy, audience, and engagement to judge whether a product can naturally enter their content.

2. Product and trend testing: A leading major vendor's AI video generation product consumed over $500,000 in monthly collaborations. Some trend-driven projects went from idea to launch in 3–5 days. Clients can quickly find creators by referencing past content performance, delivery speed, and collaboration records.

3. Management checkpoints: Brands retain four key judgment checkpoints—creating campaigns, confirming creators and quotes, reviewing content, and reviewing performance data.

Summary 1: Sellers can see the growing market, collaboration model, and risk signals in overseas creator marketing.

1. Growth market: The creator network covers more than 140 countries and regions and multiple social platforms. Brands can continuously run collaborations by specific country, category, and budget. The platform also supplements client demand, global marketing experience, and data insights through Feishu integration and partnerships with BlueFocus and MiningLamp.

2. Changing consumer demand: Brands want lower-cost, scaled collaboration and sustained high-quality content. Creators want suitable orders, fair compensation, and reliable settlement. The platform connects matching, communication, delivery, and settlement accordingly.

3. Event response and opportunities: Some trend-driven projects can go from idea to launch in 3–5 days. When clients have new feature or trend needs, they can move quickly by referencing creators' past content performance, delivery speed, and collaboration records.

Summary 2: Sellers should also watch competitive shifts and learnable points.

1. Risk signal: As foundation model capabilities become widespread, point features are easy to copy. What truly takes time to build is an active supply-demand network and trust in fulfilling complex projects.

2. Learnable points: The platform charges based on agreed content delivery and usage rights. Brands retain four key judgment checkpoints. Complex workflows, transaction data, transaction networks and supply density, transaction habits, and cross-platform capabilities form the moat.

Summary 1: Factories can understand from the case how products are turned into content and the requirements for cross-border seeding and delivery.

1. Product display needs: What truly penetrates audience minds is real people explaining products in real scenarios. The platform first defines target audience, usage scenarios, and content requirements, then uses multimodal analysis to judge whether a product can naturally enter creator content.

2. Seeding and delivery conditions: A high-ticket intelligent hardware project required creators to already own the device, eliminating seeding and cross-border logistics waits. Localization also depends on whether seeding and delivery conditions can be met.

3. Content quality: Content pre-review checks subtitles, spoken narration, and visuals, pinpointing specific segments that do not comply with the Brief.

Summary 2: Factories pursuing digitalization and e-commerce can learn from the platform workflow.

1. Digital connection: The platform brings multilingual outreach, quote negotiation, order management, draft submission and revision follow-up, publishing management, data aggregation, contracts and cross-border settlement into one process.

2. Team division of labor: In the SeaArt case, the system handles initial profile screening, initial outreach, contract information organization, and progress follow-up, while the team spends more time on brand tone, content strategy, and test iteration.

3. Business opportunity: An intelligent hardware brand completed 1,000 UGC pieces in 19 countries with delivery in less than a month, showing demand for scaled content production.

Summary 1: Service providers should watch the industry trend of AI creator marketing moving from tools to fulfillment infrastructure.

1. Industry trend: Over the next two years, competition will shift from who offers more features to who can help brands consistently complete global marketing delivery. Foundation model capabilities are spreading, point features are easy to copy, and active supply-demand networks and trust in fulfilling complex projects require more accumulation.

2. New technology application: The platform uses multimodal analysis of creator videos' visuals, copy, audience, and engagement to support multilingual outreach, quoting, orders, draft revisions, publishing, data aggregation, contracts and cross-border settlement, and content pre-review.

3. Client pain points: At SeaArt, creator screening, outreach, and order-by-order follow-up were previously scattered across spreadsheets, emails, and direct messages. Multi-country collaborations also increased the staffing needed for sourcing, communication, and follow-up.

Summary 2: Solutions and ecosystem collaboration are worth learning from.

1. Platform solution: A two-sided transaction platform connects brands and creators, charges based on agreed content delivery and usage rights, and leaves four key judgment checkpoints with brands.

2. Ecosystem partnerships: Feishu integration supports creator selection, quoting, content review, and progress management in daily collaboration. Partnership with BlueFocus brings industry client demand and global marketing experience. Partnership with MiningLamp adds data and insights.

3. Capability moat: Complex workflows, transaction data, transaction networks and supply density, transaction habits, and cross-platform capabilities form five layers of moats.

Summary 1: Marketplace operators can observe how two-sided transaction platforms organize supply and demand, fulfillment, and ecosystem collaboration.

1. Business needs and problems: Brands want lower-cost, scaled collaboration and sustained high-quality content. Creators want suitable orders, fair compensation, and reliable settlement. The platform must connect matching, communication, delivery, and settlement.

2. Latest platform practices: After brands submit products and Briefs, the platform defines audience, scenarios, and content requirements, uses multimodal analysis of creators' recent videos, and supports multilingual outreach, quote negotiation, order management, draft revisions, publishing management, data aggregation, contracts and cross-border settlement, and content pre-review.

3. Merchant recruitment and supply operations: Real brand orders with budgets attract suitable creators. Fair compensation, reliable settlement, and future collaboration opportunities keep creators engaged. The more creators in a specific market and category who can respond and deliver, the easier it is for brands to launch the next round of collaboration.

Summary 2: Platform operations management and trend-risk avoidance have clear levers.

1. Management checkpoints: Brands retain four key judgment checkpoints—creating campaigns, confirming creators and quotes, reviewing content, and reviewing performance data.

2. Moat building: Complex workflows, transaction data, transaction networks and supply density, transaction habits, and cross-platform capabilities form five layers of moats.

3. Trend-risk avoidance: Point features are easy to copy. Platforms should build active supply-demand networks and trust in fulfilling complex projects, and move from solving implementation to marketing intelligence.

Summary 1: The interview presents new industry dynamics and platform-based business models in creator marketing driven by AI and overseas expansion.

1. New industry dynamics: AI connects repetitive execution such as sourcing, communication, and follow-up, enabling brands to pursue more collaborations simultaneously. The creator network covers more than 140 countries and regions and multiple platforms. Competition shifts from more features to consistently completing global marketing delivery.

2. New questions: As foundation model capabilities become widespread, point features are easy to copy. What truly takes time to accumulate is active supply-demand networks, trust in fulfilling complex projects, and transaction data.

3. Business model: AhaCreator is a two-sided transaction platform. Brands submit needs and confirm creators and quotes; creators produce and publish; the platform connects matching, communication, delivery, and settlement, charging based on agreed content delivery and usage rights.

Summary 2: Research can focus on flywheels, moats, and the next step of marketing intelligence.

1. Two-layer flywheel: Brand orders attract creators to the supply-demand network, and creator feedback brings more supply. Transaction data records choices, rejections, prices, authorizations, revisions, delivery, and performance for use in the next matching, negotiation, and risk assessment.

2. Five-layer moat: Complex workflows, transaction data, transaction networks and supply density, transaction habits, and cross-platform capabilities.

3. Implications: Technology helps scale execution, while experience helps understand complex needs. The next stage moves from implementation to marketing intelligence, helping brands decide which market to test first and which content deserves additional investment.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】彭姗，AhaCreator联合创始人兼CGO。拥有十余年营销、电商、跨境业务增长与经营管理经验，曾任职拼多多、TEMU；曾带领200余人团队，长期合作数千家品牌与数万商家，业务涉及流量、达人营销、供给与供应链。近日，在2026千峰奖访谈期间，亿邦智库与彭姗围绕“AI与出海带来的模态进化”进行了交流。

亿邦：本届千峰奖以“AI与出海带来的模态进化”为核心主题。结合AI海外达人营销，您如何理解这一轮由AI和全球化共同驱动的产业模态进化？AhaCreator的定位和业务模式是什么？

彭姗：过去品牌多进一个国家、多合作一批达人，就要增加找人、沟通和跟进的人手。AI把这些重复执行连接起来，让团队能同时推进更多合作。而在AI时代，难以被取代的是人与人之间的真实交流。真正能穿透用户心智的，是真实的人在真实的场景中把产品讲出来：谁适合讲、怎样讲得可信，是品牌和创作者要共同做好的事。

AhaCreator是一家AI海外达人营销双边交易平台。一边是品牌，希望与合适的达人持续产出高质量内容，以更低的成本开展规模化合作；另一边是创作者，希望获得适配的订单、合理的报酬和可靠的结算。品牌提出需求、确认人选与报价，创作者按约制作和发布内容，平台把匹配、沟通、交付和结算连接起来，按约定的内容交付和使用权益收费。

亿邦：目前AI落地在哪些核心业务环节？

彭姗：品牌提交产品和Brief后，平台先明确目标受众、使用场景和内容要求，再通过多模态分析达人近期视频的画面、文案、受众与互动，判断产品能否自然进入他的内容、达人是否符合项目条件。

人选确定后，平台推进多语言建联、报价协商、订单管理、交稿与修改跟进、发布管理和数据汇总，合同与跨境结算也纳入同一流程。内容预审会核对字幕、口播和画面，把不符合Brief的地方定位到具体片段。

品牌保留四个关键判断节点：创建Campaign、确认达人与报价、审核内容、查看数据复盘。

亿邦：能否分享几个有代表性的“AI+价值链”案例？

彭姗：有一家知名智能硬件品牌，要在全球五大洲19个国家完成1,000条UGC。产品单价高，因此要求达人已经拥有设备，免去寄样和跨境物流的等待。AhaCreator在48小时内完成约300—400位达人的筛选匹配，筛选通过率超过70%，每位达人交付3—4条内容，最终不到一个月完成全部1,000条交付。在没有额外投流加热的情况下，项目平均CPM低于4美元，原定目标约为10美元。

另一个是某头部大厂的AI视频生成产品，在AhaCreator月度合作消耗已超过50万美元，部分追热点项目能在3—5天内从想法走到发布。客户有新功能或热点需求时，可以参考达人过去的内容表现、交付速度和合作记录，快速找到人并推进制作。

还有一个是SeaArt，他们过去达人筛选、触达和逐单跟进分散在表格、邮件与私信里。使用AhaCreator后，系统承担了画像初筛、初步触达、合同信息整理和进度跟进，团队把更多时间放在品牌调性、内容策略和测试迭代上。

亿邦：AhaCreator的两层飞轮怎么转？它们怎样形成长期壁垒？

彭姗：第一层是供需网络。真实、有预算的品牌订单吸引适配达人；合理的报酬、可靠的结算和后续合作机会，让达人愿意持续参与。具体市场和品类里能响应、能交付的达人越多，品牌越容易开展下一轮合作，新的订单又带来更多适配供给。

第二层是交易数据。品牌选了谁、为什么拒绝，达人在什么价格和授权条件下愿意接单，内容改过几次、是否按时交付、效果怎样，都会成为下一次匹配、议价和风险判断的依据。后续订单再检验这些判断，新的反馈继续改善下一轮合作。

五层壁垒：一是复杂工作流，积累把订单推进到交付、处理变化和异常的经验；二是交易数据，用真实成交、修改和履约记录改善匹配、价格与风险判断；三是交易网络与供给密度，在具体国家、品类和预算下，逐步积累能响应、能交付的达人。

四是交易习惯，品牌和达人可以沿用熟悉的合作流程，复用人选、要求和审核记录；五是跨平台能力，在不同渠道积累合作与执行经验，让品牌能够组合渠道、统一管理项目。

亿邦：AhaCreator与飞书、蓝色光标、明略科技的合作，对业务意味着什么？

彭姗：通过飞书集成，品牌可以在日常协作环境里推进选人、报价、内容审核和进度管理。与蓝色光标的深度合作，带来不同行业的客户需求和全球营销经验；与明略科技的战略合作，补充数据与洞察能力。

亿邦：海外布局方面，AhaCreator怎么做本地化？

彭姗：目前达人网络覆盖140多个国家和地区，以及Instagram、TikTok、YouTube、X和LinkedIn等平台。本地化要落到具体项目：达人能不能触达目标人群，是否有真实使用场景，内容表达是否适合当地受众，寄样和交付条件能否满足。

多语言沟通还要结合具体联系人的表达习惯、时区和合作阶段来安排。

亿邦：您怎么看未来两年的竞争格局？

彭姗：未来两年，行业竞争会从“谁提供更多功能”，转向“谁能帮品牌持续完成全球营销的交付”。基础模型能力在普及，单点功能很容易被复制，真正需要时间积累的，是活跃的供需网络和复杂项目的履约信任。目前我们解决了“怎么落地”的问题，下一阶段有计划走向“营销智能”，让积累的反馈去支持品牌“怎么判断”——一个新产品先测哪个市场、哪类内容值得追加投入。我们会持续提升AI工作流与多模态能力，深化生态协同。技术帮助执行规模化，而经验帮助理解复杂需求，两者结合，才能让一次次分散的合作，变成企业可复用的全球增长能力。

作为TO B领域年度风向标，“2026第八届亿邦产业互联网年会暨首届产业智能体大会”将于2026年11月20日在北京召开。主题定为“AI与出海带来的模态进化”，聚焦产业智能体落地、AI供应链价值重构、数据要素与TOKEN经济、产业出海新生态等前沿议题深度思辨。大会将集结学界权威、央国企标杆、产业龙头、投资机构、服务生态伙伴，汇聚产业核心力量、拆解产业数智化转型路径、分享前沿实战经验。同期还将发布年度产业互联网报告及标杆案例，举办决策人闭门会、“千峰奖”颁奖盛典。

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FAQ回顾

AhaCreator是什么平台？

AhaCreator是AI海外达人营销双边交易平台，一边连接希望规模化合作达人的品牌，一边连接希望获得适配订单、合理报酬和可靠结算的创作者。平台把匹配、沟通、交付和结算连接起来，按约定的内容交付和使用权益收费，达人网络覆盖140多个国家和地区及Instagram、TikTok、YouTube、X、LinkedIn等平台。

AI在海外达人营销中主要解决哪些问题？

AI可把找人、沟通、跟进等重复执行连接起来，让团队同时推进更多合作。平台通过多模态分析达人近期视频的画面、文案、受众与互动，判断产品能否自然进入内容；随后推进多语言建联、报价协商、订单管理、交稿修改、发布管理和数据汇总，并把合同与跨境结算纳入同一流程。

品牌如何低成本规模化完成全球UGC达人营销？

可通过平台先明确目标受众、使用场景和内容要求，再批量筛选适配达人并集中管理交付。案例中智能硬件品牌在五大洲19国完成1000条UGC，平台48小时筛选约300—400位达人，通过率超70%，每人交付3—4条，不到一个月完成，未额外投流情况下平均CPM低于4美元，原目标约10美元。

AhaCreator的长期竞争壁垒是什么？

其壁垒来自两层飞轮：供需网络和交易数据。真实品牌订单吸引适配达人，达人以合理报酬和可靠结算持续参与；交易数据记录品牌选择、拒绝原因、价格授权、修改交付和效果，反哺匹配议价与风控。五层壁垒包括复杂工作流、交易数据、交易网络与供给密度、交易习惯和跨平台能力。

海外达人营销本地化需要关注哪些因素？

本地化要落到具体项目：达人能否触达目标人群、是否有真实使用场景、内容表达是否适合当地受众、寄样和交付条件能否满足；多语言沟通还要结合联系人表达习惯、时区和合作阶段安排。AhaCreator达人网络覆盖140多个国家和地区及多个主流社交平台。

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著名经济学家、清华大学中国经济思想与实践研究院院长李稻葵已确认出席2026第八届亿邦产业互联网年会，并担任开幕嘉宾，研判AI与出海时代企业如何进行战略抉择。

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