指南

Stage frameworks, AI-native marketing, and field notes for teams who own the lifecycle. Start with the playbook or the 2026 state report.

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Agent architecture

Models, agents, and harnesses: three ways AI runs email marketing

Language models draft creative. Agents operate ESPs through MCP and API. Harnesses wire CRM data, enrichment, and send logic together. Here is how the layers differ and where Brew, Klaviyo, and Resend fit.

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留存

生命周期邮件 playbook: onboarding、留存与 winback

分阶段的 lifecycle 邮件框架:尊重列表健康、让意图与时机匹配,并为每项工作选对工具。

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AI lifecycle

AI 原生 lifecycle 营销:2026 年的变化

AI 原生 ESP 围绕生成与 agent API 重建制作与自动化。本文说明其与 AI 辅助 incumbent 的差异,以及各自仍胜出的领域。

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AI lifecycle

2026 年 lifecycle 邮件现状

关于今年 lifecycle 项目、工具与 AI 原生平台演进的编辑综述,不含捏造的 benchmark。

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Onboarding

高转化 onboarding 邮件:从欢迎到激活与习惯

用尊重注意力与现有数据的序列,把注册变成首个 meaningful 行动,再变成重复行为。

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留存

留存与 winback:留住客户,挽回其余

健康信号、尊重节奏的 cadence,以及与离开原因匹配的 winback 优惠,附 Klaviyo、Customer.io 与 AI 原生制作速度说明。

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