广告
加载中

开放广告投流后 ChatGPT将对站内交易收取4%的佣金

亿邦动力 2026-01-26 19:29
亿邦动力 2026/01/26 19:29

邦小白快读

EN
全文速览

ChatGPT对Shopify商家通过站内结账功能收取4%佣金,这一新政策带来低费率优势,并影响电商操作。

1.佣金仅针对站内交易收取,如果用户跳转到独立站完成交易则不收费,商家可灵活选择结账方式以降低成本。

2.费率竞争力强,相比亚马逊15%、沃尔玛6%-15%和TikTok Shop约8%的推荐费,加上Shopify本身2.9%支付费率,ChatGPT总成本仍较低。

3.广告推荐独立客观,系统在对话底部展示标注广告,不影响原回答内容,基于GEO逻辑推荐产品,用户采用率上升(如Northbeam平台流量从0.01%增至0.15%)。

4.潜在电商规模巨大,研究显示2.1%的ChatGPT对话与购物相关,年预测40亿次产品对话,假设2%转化率和70美元客单价,可能产生数十亿美元GMV。

ChatGPT的低佣金和独立推荐机制为品牌营销提供新渠道,影响定价策略和用户行为。

1.品牌渠道建设方面,佣金仅4%加Shopify费用,低于主流平台,可降低销售成本,优化品牌定价和价格竞争策略。

2.消费趋势显示用户通过AI交互购物增加,Northbeam案例中AI推荐流量贡献上升,消费者采用率提升,暗示新营销机会。

3.产品研发启示源于AI客观推荐逻辑,广告独立呈现不受影响,品牌可基于此开发适配AI平台的产品。

4.用户行为观察数据表明,年40亿次购物对话潜力,转化率2%和客单价70美元假设,提示品牌需关注AI电商趋势以抢占市场。

ChatGPT佣金政策解读揭示增长机会和风险,卖家需评估新商业模式应对变化。

1.政策从1月26日起实施,仅对站内交易收取4%佣金,跳转独立站免收,卖家可调整结账策略规避成本。

2.增长市场机会在于低费率优势(相比亚马逊15%等),无强制广告支出,AI推荐流量上升(Northbeam案例),年40亿次对话潜力大。

3.风险提示包括依赖站内交易增加成本,转化率假设2%可能不达预期,但机会提示卖家可学习低成本合作方式。

4.事件应对措施包括利用独立推荐逻辑,避免广告绑定,最新商业模式为AI电商平台化,卖家可探索扶持政策如Shopify整合。

ChatGPT的低佣金政策带来新商业机会,启示工厂推进数字化电商和产品设计。

1.产品生产需求方面,佣金仅4%吸引商家使用站内结账,工厂可对接此类平台扩大销售渠道。

2.商业机会源于AI推荐潜力,年40亿次购物对话预测,转化率2%和客单价70美元假设,提示工厂开发适配产品。

3.推进数字化启示包括学习ChatGPT电商模式,利用独立推荐逻辑优化设计,Northbeam案例显示AI流量增长,工厂可加速电商转型。

行业发展趋势指向AI电商崛起,服务商需解决客户痛点如低费率需求。

1.趋势包括ChatGPT商业化加速成为电商平台,费率竞争力强(4% vs 亚马逊15%),新技术如AI独立推荐逻辑。

2.客户痛点为商家寻求低成本渠道,解决方案是提供类似平台服务,广告独立展示保证公正。

3.数据支持发展,Northbeam案例AI流量从0.01%升至0.15%,年40亿次对话潜力,服务商可开发工具优化转化率。

ChatGPT最新做法如低佣金和独立广告,为平台招商和运营管理提供风向。

1.平台需求方面,商家需要低费率渠道(仅4%佣金),无强制广告支出,优于传统平台如亚马逊。

2.最新做法包括广告在回答底部标注展示,不影响内容,基于GEO逻辑推荐,运营管理强调透明性。

3.招商吸引力大,预测年40亿次购物对话,GMV数十亿美元,平台商可学习此模式规避风险如依赖性。

4.风向规避启示源于独立推荐,避免搜索排名绑定广告,Northbeam案例显示流量增长潜力。

产业新动向如AI电商平台化,研究者需关注新问题和商业模式启示。

1.动向包括ChatGPT商业化加速,费率4%竞争力强,挑战传统电商格局如亚马逊。

2.新问题涉及转化率假设2%的可靠性,AI推荐对消费行为影响(Northbeam流量上升),政策法规建议需确保独立公正。

3.商业模式启示为无广告绑定推荐,基于GEO逻辑,研究显示2.1%对话购物相关,年40亿次对话潜力,提示未来电商演变。

返回默认

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

ChatGPT now charges a 4% commission on Shopify merchants using its in-platform checkout, introducing a low-rate advantage that impacts e-commerce operations.

1. The commission applies only to transactions completed within ChatGPT; redirecting users to a standalone site avoids the fee, allowing merchants to choose checkout methods flexibly to reduce costs.

2. The rate is highly competitive: compared to Amazon's 15%, Walmart's 6%-15%, and TikTok Shop's ~8% referral fees, ChatGPT's total cost (including Shopify's 2.9% payment fee) remains lower.

3. Ad recommendations are independent and objective: labeled ads appear at the bottom of conversations without altering original responses, using GEO-based logic. User adoption is rising (e.g., Northbeam's AI-driven traffic grew from 0.01% to 0.15%).

4. Massive e-commerce potential exists: research shows 2.1% of ChatGPT conversations are shopping-related, projecting 4 billion annual product dialogues. Assuming a 2% conversion rate and $70 average order value, this could generate billions in GMV.

ChatGPT's low commission and independent recommendation mechanism offer brands a new marketing channel, influencing pricing strategies and user behavior.

1. For channel strategy, the 4% commission plus Shopify fees undercut major platforms, reducing sales costs and optimizing pricing competitiveness.

2. Consumer trends show growing AI-driven shopping: cases like Northbeam reveal rising AI recommendation traffic and adoption rates, signaling new marketing opportunities.

3. Product development insights stem from AI's objective ad logic (ads are displayed separately), enabling brands to create AI-platform-compatible products.

4. User behavior data—4 billion annual shopping dialogues, 2% conversion rate, and $70 AOV—highlights the need for brands to embrace AI commerce trends to capture market share.

ChatGPT's commission policy reveals growth opportunities and risks, requiring sellers to evaluate new business models.

1. Effective January 26, the 4% fee applies only to in-platform transactions; redirecting to independent sites avoids costs, allowing checkout strategy adjustments.

2. Growth opportunities include low rates (vs. Amazon's 15%), no forced ad spending, and rising AI recommendation traffic (e.g., Northbeam), with 4 billion annual dialogues indicating potential.

3. Risks include cost increases from relying on in-platform transactions and potential underperformance of the assumed 2% conversion rate, but the model encourages learning low-cost collaboration methods.

4. Response strategies: leverage independent ad logic to avoid ad bundling, explore AI e-commerce platformization, and seek support policies like Shopify integration.

ChatGPT's low-commission policy creates new commercial opportunities, urging factories to advance digital commerce and product design.

1. Product demand: the 4% rate attracts merchants to in-platform checkouts, enabling factories to partner with such platforms to expand sales channels.

2. Commercial potential stems from AI recommendations: 4 billion annual shopping dialogues, with a 2% conversion rate and $70 AOV, suggest developing compatible products.

3. Digital transformation insights: learn from ChatGPT's e-commerce model, use independent ad logic to optimize designs, and accelerate e-commerce shifts—evidenced by Northbeam's AI traffic growth.

Industry trends point to AI e-commerce growth, requiring service providers to address client pain points like demand for low fees.

1. Trends include ChatGPT's commercialization as an e-commerce platform, competitive rates (4% vs. Amazon's 15%), and new technologies like independent AI recommendations.

2. Client pain points: merchants seek low-cost channels; solutions involve providing similar platform services with impartial ad displays.

3. Data supports development: Northbeam's AI traffic rose from 0.01% to 0.15%, and 4 billion annual dialogues suggest tools to optimize conversion rates.

ChatGPT's practices—low commissions and independent ads—set trends for platform recruitment and operations.

1. Platform demand: merchants prefer low-rate channels (4% commission) without forced ad spending, outperforming traditional platforms like Amazon.

2. Latest practices: labeled ads at the bottom of responses, unbiased by content, using GEO-based logic, emphasizing operational transparency.

3. Recruitment appeal: 4 billion annual shopping dialogues could yield billions in GMV; platforms can adopt this model while mitigating risks like over-dependence.

4. Trend insights: independent recommendations avoid ad-search ranking ties, with Northbeam's traffic growth highlighting potential.

Industry shifts like AI e-commerce platformization raise new research questions and business model implications.

1. Shifts include ChatGPT's accelerated commercialization, a competitive 4% rate challenging incumbents like Amazon.

2. New questions: reliability of the 2% conversion rate assumption, AI's impact on consumer behavior (e.g., Northbeam's traffic rise), and policy needs to ensure impartiality.

3. Business model insights: ad-unbundled recommendations using GEO logic; 2.1% of dialogues are shopping-related, with 4 billion annual dialogues signaling e-commerce evolution.

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】日前,据外媒报道称,从1月26日起,Shopify商家若通过ChatGPT的站内结账功能完成交易,便需要向ChatGPT额外缴纳4%的交易佣金。

据悉,该交易佣金的收取范围目前仅限于在站内完成的交易部分,如果用户通过ChatGPT给出的链接跳转到商家独立站完成交易,ChatGPT将不会收取这一笔额外的费用。

这是继此前OpenAI宣布开放广告投流后,ChatGPT的又一商业化动作,正加速成为一个AI时代的电商平台。

市场研究机构Marketplace Pulse称,与亚马逊15%的推荐费、沃尔玛6%-15%、TikTok Shop约8%的费率相比,即便是算上Shopify本身2.9%的支付费率,ChatGPT的费率也极具竞争力。

值得一提的是,以亚马逊为代表的货架式电商,站内的搜索排名与投放强绑定,但ChatGPT并不需要强制性的广告支出。

在此前对开放广告业务的声明中,OpenAI表示,ChatGPT所给出的原回答将会始终基于客观有用的信息,不会受到广告的影响。系统若判断消费者当前对话有可关联的赞助产品或服务,便会在ChatGPT给出的回答底部展示广告。广告会进行标注,且与回答内容分开呈现。换句话说,ChatGPT对产品的推荐逻辑依旧相对独立,大量被用户认可的内容依旧基于原有的GEO逻辑。

不少平台也已经感受到了AI推荐对网站流量的贡献。一个名为Northbeam的平台称,AI对其网站访问量的贡献,从原本的0.01%上升至0.15%,尽管绝对值依旧相对较小,但消费者对AI给出推荐结果的采用率正逐渐上升。

Marketplace Pulse还声称,去年OpenAI的一份研究表明,2.1%的ChatGPT对话与购物相关,并据此推算ChatGPT每年将会有40亿次与产品相关的对话,如果假定商品的转化率为2%、平均客单价为70美元,也将产生数十亿美元的GMV。

无论是商业化规模,还是用户认知度,ChatGPT都距离亚马逊等电商平台有着不小的距离,但毋庸置疑的是,随着ChatGPT的商业化加速推进,全球电商格局将会迎来一个全新的角色。


文章来源:亿邦动力

广告
微信
朋友圈

这么好看,分享一下?

朋友圈 分享

APP内打开

+1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0