SaaStr用AI Agent自动化续约谈判:全量账户定制Deck与叙事审批流
Our Newest AI Agent Is a Renewal Agent. It Builds a Better Renewal Deck Than Any Human Could, For Every Single Account. Not Just the Big Ones.
提供了一套可落地的AI Agent在客户成功场景的具体工作流,包含数据源整合清单、工具选型避坑指南(Gamma vs Canva)以及人机协作的最佳实践(叙事审批与触达时机)。
Every company cuts the same corner on renewals.
每家公司在续约时都会走同样的捷径。
You go top down. Your biggest accounts get a real custom deck with their actual results in it. Everyone else gets a templated follow-up email. Not because you don’t care about them. Because nobody has a week to build 25 custom decks, and the week you’d spend has to come out of new business.
你们自上而下推进。最大的客户会收到一份真正的定制演示文稿,里面包含他们的实际成果。其他客户则只收到一封模板化的跟进邮件。这不是因为你不关心他们,而是因为没人有一周时间去制作25份定制演示文稿,而这一周的时间成本必须从新业务中扣除。
Amelia built a renewal agent on top of 10K, our AI VP of Revenue, in about half a day. That corner is gone.
Amelia 在大约半天时间内,基于我们的 AI 营收副总裁(10K)构建了一个续约代理。这个捷径就此消失。
"Our latest AI agent? A renewal agent.
“我们最新的 AI 代理?是一个续约代理。”
Because it knows so, so, so much about every renewal, it builds renewal emails, renewals decks, and renewal data better than any human ever could.
因为它对每一次续约都了如指掌,所以它生成的续约邮件、续约演示文稿和续约数据比任何人类都能做得更好。
And it can do it … for every single renewal. Not just the big ones." https://t.co/pAPqzBtiKt pic.twitter.com/stMSEIQRNX
而且它可以为……每一次续约做到这一点。不仅仅是那些大客户。” https://t.co/pAPqzBtiKt pic.twitter.com/stMSEIQRNX
— Jason ✨👾SaaStr.Ai✨ Lemkin (@jasonlk) August 31, 2026
—— Jason ✨👾SaaStr.Ai✨ Lemkin (@jasonlk) 2026年8月31日
Why we built it instead of pointing an AI SDR at renewals
为什么我们要构建它,而不是让一个 AI SDR 去处理续约
We already run four agentic sales tools. Artisan, Agentforce, Qualified, Monaco. We like them, we pay for them, we recommend them.
我们已经运行着四个代理式销售工具:Artisan、Agentforce、Qualified 和 Monaco。我们喜欢它们,付费使用它们,并向他人推荐它们。
None of them could do this. The reason is instructive if you’re building in the space.
但它们都无法做到这一点。如果你在这个领域进行开发,其中的原因很有启发性。
Our renewal pitch depends on data that has never lived in a CRM. How many times we mentioned a sponsor on the podcast. How many articles we wrote about them on saastr.com. Their social impressions from our accounts. Their actual badge scans and lead counts from our event platform. What Jason said to their CEO by email three weeks ago.
我们的续约提案依赖于从未存在于 CRM 中的数据。我们在播客中提到赞助商的次数。我们在 saastr.com 上为他们撰写的文章数量。来自我们账号的他们的社交曝光量。来自我们活动平台的实际徽章扫描数和线索数。三周前 Jason 通过电子邮件对他们的 CEO 说了什么。
Third-party sales agents write a decent email. Better than 99% of humans, which is what matters most days. They aren’t great, because none of them have that context or can reason on top of it. So we built on top of them.
第三方销售代理能写出还不错的邮件。比 99% 的人类都要好,这在大多数日子里是最重要的。但它们并不出色,因为它们缺乏那种上下文,也无法在其基础上进行推理。所以我们在此基础上进行了构建。
What it pulls
它提取的内容
The agent starts in Salesforce, which is running headless for us and reachable entirely through the API: who the AE is, what they signed, what they’ve signed historically, lifetime value, email opens, their Qualified chat conversations, their Momentum call history.
代理程序从 Salesforce 开始,Salesforce 为我们无头运行,完全可通过 API 访问:AE 是谁,他们签署了什么,历史上签署过什么,终身价值,邮件打开率,他们的 Qualified 聊天对话,他们的 Momentum 通话历史。
Then it goes to everything that was never in Salesforce:
然后它会获取所有从未进入 Salesforce 的数据:
- The saastr.com WordPress API, for every article we’ve published about them
- Our social accounts, through their APIs
- Our podcast archive, for every mention
- Bizzabo, for the real event numbers: leads, companies, seniority mix
- Amelia’s Gmail, through the Replit connector, because we don’t log every email to the CRM
- saastar.com 的 WordPress API,用于获取我们发布的关于他们的每一篇文章
- 我们的社交媒体账号,通过它们的 API
- 我们的播客档案,用于获取每一次提及
- Bizzabo,用于获取真实的活动数据:线索、公司、职级分布
- Amelia 的 Gmail,通过 Replit 连接器,因为我们没有将每封邮件记录到 CRM 中
That last one required a decision. Amelia thought about what could go wrong with an agent reading her email, decided the contacts in there were worth it, and let it in.
最后这一点需要做出决定。Amelia 思考了代理读取她的邮件可能出现的风险,认为里面的联系人值得冒险,于是允许其接入。
The deck gets built through the Gamma API, and that choice was not incidental
演示文稿是通过 Gamma API 构建的,这一选择并非偶然。
The agent generates the deck through Gamma’s API rather than any of the generalist tools.
代理通过 Gamma 的 API 生成演示文稿,而不是使用任何通用工具。
Replit, Canva, Claude, most others will all make you a deck. What they also do is generate an approximation of your logo and your brand imagery, and you can spot it instantly. A renewal deck with a hallucinated version of your own logo on it is unusable.
Replit、Canva、Claude 以及大多数其他工具都能为你制作演示文稿。但它们也会生成你标志和品牌图像的近似版本,你可以一眼就识别出来。一份带有幻觉版你自己标志的续约演示文稿是无法使用的。
Gamma has an API path that preserves our real images and our real templates, which is why it won here. They’re at $150M in revenue doing this one thing, so they enforce the guardrails that one thing needs.
Gamma 提供了一条保留我们真实图像和真实模板的 API 路径,这就是它胜出的原因。他们仅靠这一项业务就实现了 1.5 亿美元的营收,因此他们会强制执行该业务所需的护栏措施。
What comes out
最终产出的是什么
The Replit deck opens with their results. Number one sponsor at the show. 5.9 million social impressions across our channels. 76% of their leads at VP level or above, which is very high for an in-person event. A sample of the 214 articles we’ve written about them. Who they met at SaaStr Annual, so their sales team can go check what closed.
Replit 的演示文稿以他们的成果开篇:展会的一号赞助商。我们的渠道获得了 590 万次社交曝光。76% 的潜在客户达到副总裁及以上级别,这对于线下活动来说比例非常高。展示了我们撰写的关于他们的 214 篇文章样本。列出了他们在 SaaStr Annual 上会见了谁,以便他们的销售团队去核查哪些已成交。
It goes to the whole account rather than one contact. 10K already has every contact from Salesforce and from PandaDoc through our CPQ flow, so it tells us who to send to and writes a different note for the CEO than for the person who actually signed the contract.
它是针对整个账户而非单个联系人生成的。10K 已经通过我们的 CPQ 流程从 Salesforce 和 PandaDoc 获取了所有联系人的信息,因此它能告诉我们发送给谁,并为首席执行官和实际签署合同的人撰写不同的备注。
Twenty to thirty have gone out. Before agents we would have built five, for the diamonds.
已经发出了二十到三十份。在代理出现之前,我们只会为钻石级客户制作五份。
The Silver sponsors (our ‘lowest’ tier) replied at a higher rate than the Diamonds (our highest)
银牌赞助商(我们的‘最低’层级)的回复率高于钻石级赞助商(我们的最高层级)
Our silver sponsors are the smallest checks and, historically, our lowest renewal rate. Smallest and least likely to come back. They got more replies to this than our biggest accounts did.
我们的银牌赞助商是金额最小的支票,且历史上续约率最低。金额最小,也最不可能回来。他们对此的回复比我们要最大的账户还要多。
A $25K sponsorship is real money to the company writing it, and often a real bet on their year. The same $25K to Google Cloud is a rounding error. Back in 2022 when things were crazy we actually discouraged the smallest sponsors, because if $20K was that consequential to you, the stress on both sides wasn’t worth it.
对于撰写这笔款项的公司来说,2.5 万美元的赞助是真正的真金白银,往往也是对他们全年业务的一次真正押注。但对于 Google Cloud 而言,同样的 2.5 万美元只是零头。回到 2022 年那段疯狂的时期,我们实际上曾劝阻最小的赞助商参与,因为如果 2 万美元对你来说如此重要,那么双方承受的压力就不值得了。
You should treat every customer like kings and queens whether they paid you $25K or $1M. The reason nobody does is that the labor never scaled. It scales now, and the accounts that appreciate it most are the ones that used to get the template.
无论客户支付了 2.5 万美元还是 100 万美元,你都应像对待国王和王后一样对待每一位客户。没人这样做的原因是这种劳动无法规模化。现在它可以规模化了,而最感激这种做法的客户,正是那些过去只收到模板邮件的客户。
The agent writes the pitch before it writes the deck
代理在生成演示文稿之前先撰写推销话术
The first decks were methodical and flat. Here’s what you bought. Here’s what you got. Thank you.
最初的演示文稿条理分明但平淡无奇。这是你购买的。这是你得到的。谢谢。
Amelia had to teach it to sell. This is a renewal. Put the heavy hitters in the first three slides. Make the case for doing more. Nobody reads the whole deck, no matter how good it is.
Amelia 不得不教它如何销售。这是一次续约提案。把最有力的论据放在前三张幻灯片里。论证为什么要做更多。没人会读完整个演示文稿,无论它有多好。
Then she added a step, and took the term for it from Westworld. Before the agent generates anything, it writes out the narrative it intends to tell, and we agree on it first.
然后她增加了一个步骤,并从《西部世界》中借用了这个术语的名称。在代理生成任何内容之前,它会先写出打算讲述的叙事大纲,我们先对此达成一致。
On one silver sponsor, its proposed narrative was “you’re a silver, upgrade to gold.” Reasonable, and wrong for that account. They had come out of stealth right before the event and had grown a lot since, so the right pitch was three options including a media tier with content, since they’re speaking a lot more now. Amelia corrected the narrative, not the deck. Then it built.
对于一位银牌赞助商,其拟定的叙事是“你是银牌,升级到金牌”。这很合理,但对该客户而言并不合适。他们在活动开始前刚刚结束隐身状态,此后增长迅速,因此正确的推销策略应提供三个选项,其中包括包含内容的媒体层级,因为他们现在发言更多了。Amelia 修正的是叙事,而不是演示文稿。然后代理据此构建内容。
Every agentic sales tool writes roughly the same pitch every time because it has no context. Approving the narrative takes a minute and gets our context in without us building the deck.
每个基于代理的销售工具每次都会写出大致相同的推销话术,因为它缺乏上下文。审核叙事只需一分钟,就能在不制作演示文稿的情况下将我们的上下文纳入其中。
It still makes up numbers
它仍然会捏造数据
Amelia wrote DON’T MAKE UP NUMBERS into the agent’s instructions four separate times, in caps. It still occasionally invents one.
Amelia 用大写英文字母在代理指令中四次写入“不要捏造数据”。但它偶尔仍会凭空编造一个数字。
Check every figure before it goes out. Every number in a renewal deck is a number you’re putting in front of a customer who knows exactly what they got.
在发出前检查每一个数据。续约演示文稿中的每一个数字,都是你要展示给那些清楚自己到底获得了什么的客户看的。
Where the human still is
人类依然发挥作用的地方
We ran it both ways to find out where the human should sit.
我们尝试了两种模式,以找出人类应该介入的位置。
Amelia split the list. On one group, she gave the AI SDR enough context to lead with the custom results in the first email. That didn’t work. On the other, the AI SDR ran a normal sequence to get the open and the reply, and then she sent the custom deck herself as the response.
Amelia 对列表进行了拆分。在一组上,她给予 AI SDR 足够的上下文,以便在第一封邮件中以定制结果作为开场。但这没有奏效。在另一组上,AI SDR 运行标准序列以获取打开率和回复率,然后她亲自发送定制演示文稿作为回复。
The second one worked much better. The deck is overkill for someone who isn’t ready to hear from you, and the replies to that first email gave us feedback we could fold into the pitch before generating anything.
第二种方法效果好得多。对于还没有准备好接收你信息的人来说,直接发送演示文稿显得过于隆重,而第一封邮件的回复为我们提供了反馈,我们可以将其融入推销话术中,然后再生成任何内容。
So the agent does the top of the funnel, and I never let it send the follow-up unsupervised. Then the deck goes out as a human reply. Everything we send is tracked, and 10K picked its own heat-mapping tool, so we get an alert when the person actually reads it.
因此,代理负责漏斗顶部的获客工作,而我从不让它未经监督地发送跟进邮件。随后,演示文稿作为人工回复发出。我们发出的所有内容都会被追踪,由于 10K 选择了自己的热力图工具,所以当对方真正阅读时我们会收到警报。
The next version already exists in the pipeline
下一个版本已经在开发管线中
Two things came out of building this.
构建这一系统带来了两方面的成果。
- The first was much, much better (and automated) champion tracking. We wanted to find contacts who had left a renewal account and see where they went. 10K did a poor job of it, so Amelia handed it to Claude directly, which ran Clay through its connector, decided the browser was faster, finished the job in Cowork, and then suggested running ZoomInfo inside Clay. That produced the best enrichment list we’ve had. Those people are now in a sequence that pitches their new company, and when they reply they get a custom deck too.
- The second was 10K’s own suggestion: run the whole thing in reverse on inbound. Today you can book a meeting instantly with Amelia AI, which beats a contact-us form by a thousand times. Next, every inbound that books or downloads the media kit gets an automatic custom proposal back. Who’s similar to them, who’s had success, what they should do with SaaStr and why. No human in the loop.
- 第一点是大幅改进(且自动化)的冠军客户追踪。我们希望能找到那些离开续费账户的客户,并追踪他们的去向。10K 在这方面的表现不佳,于是 Amelia 直接将其交给 Claude 处理。Claude 通过连接器运行了 Clay,判断浏览器方式更快,在 Cowork 中完成了任务,随后建议在 Clay 内部集成 ZoomInfo。这生成了我们迄今为止最优质的数据丰富列表。这些人现在被纳入一个序列中,向其新公司进行推介;当他们回复时,也会收到一份定制化的演示文稿。
- 第二点是 10K 自身的建议:对入站流量反向执行整个流程。如今,你可以立即通过 Amelia AI 预约会议,其效果比联系表单好上千倍。接下来,所有预约会议或下载媒体包的入站请求都会自动收到一份定制的提案。内容包括:谁与他们相似、谁取得了成功、他们应该如何与 SaaStr 合作以及原因。全程无需人工介入。
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