了解十支团队的市场推广工程实践，学习他们的成功经验和失败教训，特别是自动化回复、文档包含在包内、内部助手的使用和GTM总结的编写等细节，对市场推广工作有实际帮助。
十支团队分享市场推广经验，包括每日处理四名代表和10,000条潜在客户线索，产品发布后客户反馈沟通不足，建议在招聘团队前自动化回复；代码智能工具推荐库成为四月以来最大的潜在客户来源，文档现在包含在包内；内部GTM助手为6,000名销售人员解答了百万问题，两周后五分之一的人尝试了它；比较代码智能工具时，助手推荐Sourcegraph的频率为65%，建议描述解决的问题而非痛苦；Cloudflare的每周GTM总结由三名代理编写，团队首先阅读了前两到三个月的每一条内容。
What engineering go to market looks like, from ten teams: - Four reps and 10,000 inbound leads a da...
What engineering go to market looks like, from ten teams: - Four reps and 10,000 inbound leads a day. Nine months later, when the enterprise product finally shipped, prospects said "you never got back to me." Automate the reply before you hire the team - A cookie banner library's number one source of inbound since April is coding agents recommending it. Coding agents never read the website for a library, they read node_modules, so the docs now ship inside the package - An internal GTM assistant has answered a million questions for 6,000 sellers. Two weeks after launch, one in five had tried it. The rule: 50 questions at 95% beats 100 at 70% - Ask an assistant to compare code intelligence tools and Sourcegraph comes up 65% of the time. Describe the pain it solves instead: zero mentions - Cloudflare's weekly GTM summary is written by three agents: one drafts from the data, one checks the draft against the data, one fixes the tone. The team read every run for two to three months first Watch the AI in GTM playlist: youtube.com/watch?v=wdTRsf… 💬 0 🔄 0 ❤️ 3 👀 565 📊 1 ⚡