应用场景

AI for marketing teams

Personalization, content production, and attribution that move the funnel. Built around the tools and data you already have.

团队请我们做什么

市场团队交给我们的三类工作

  • Multi-channel content factory

    One brief → long-form, social, email, SEO landing.

  • Segment personalization

    Copy that actually changes by segment + last action.

  • Attribution that ties to revenue

    Stitch GA4 + HubSpot + Stripe. Stop guessing.

我们搭建什么

我们为市场团队搭建的内容

  • Multi-channel content factory

    One brief → long-form post, social cuts, email variants, SEO landing. Brand voice preserved, human review baked in.

  • Segment-level personalization

    Email and on-site copy that actually changes based on segment + last action. No 'Hi {FirstName}' theater.

  • Attribution that ties to revenue

    Stitches GA4/HubSpot/Stripe so you stop guessing which channel works.

  • Competitive intel digest

    Weekly digest of competitor positioning, pricing, and messaging changes. Delivered to the team that needs it.

让损失的时间看得见

从市场团队损失的工时开始

我们找出团队在哪里损失时间,展示其成本,并搭建解决方案。三项服务带你从找到任务,到团队真正用上成果。

  • AI 咨询

    找出 AI 的价值所在:任务排序、每项任务目前的成本,以及先做什么。

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  • AI 落地实施

    让它投入工作并持续运行:AI 处理大量工作,由人检查结果。

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  • AI 培训

    让团队真正用起来:与我们搭建的工作流相结合、按岗位定制的培训。

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常见问题

常见问题解答

How is this different from jasper, copy.ai, or our hubspot ai add-ons?

Those tools write generic copy from a prompt. we ship a system around your brand voice, your segment data, and your review process — so what lands in a sender's inbox actually changes by segment and last action, not by {firstname}.

What data and tools do you typically connect?

For marketing teams: ga4, hubspot or salesforce, stripe or the billing system, the cms (webflow, wordpress, contentful), and the inbox tool (customer.io, klaviyo, intercom). we plug into what you already pay for instead of replacing it.

What does the first version look like?

One workflow in production with a named owner on your side, scoped on the discovery call. attribution work is simpler to scope; segment personalization is harder because the data plumbing takes more work than the prompts.

告诉我们哪项工作最耗时间。

30 分钟,无需准备。我们会坦率地告诉你 AI 能否帮上忙,以及从哪里开始。