Original Summary

I made $200k in revenue in 12 months and worked with 12+ YC companies. In one outbound campaign, 276 messages led to 98 replies and 38 meetings in 7 days. The following five columns are more than enough: Person Company Relevance reason Message angle Reply outcome Together, they show you what to keep, cut, and eventually automate. If you are early, your first 100 relevant prospects are more than a sales list, they are your entire research set. I do not mean 100 people with the same job title. I mean 100 people where you can explain three things: Why the product could matter to them What visible evidence supports that idea Why this might be a reasonable time to talk Before adding someone to the list, try completing this sentence: I think this person may care about [problem] because [evidence], and now may be a reasonable time because [trigger]. If you cannot complete that sentence without guessing, they probably should not be on the list. Why 10,000 leads can hide the problem When you send to a generic list, the campaign can fail for too many reasons at once: Wrong person, wrong problem, wrong timing, wrong message, wrong data, or wrong offer You get a low reply rate, but the number does not tell you which assumption was wrong. A smaller, relevant list gives you a cleaner signal. You start noticing how buyers describe the problem, which objections repeat, who owns the budget, and what creates urgency. That is information you can actually use. Build the simplest possible sheet You only need five columns: Person Company Relevance reason Message angle Reply outcome Keep the relevance reason specific. “VP of Sales at a SaaS company” is not a strong reason. “Recently hired three SDRs and is still posting about pipeline problems” gives you something real to work with. Your message angle should test one idea. Do not try to explain the entire product. Use the evidence you found and see whether the problem is real. For example: Saw that you are expanding the outbound team. Curious whether improving list quality is something you are working on right now. You are not trying to close them in the first message. You are trying to learn whether your reasoning was correct. Review the list at 25, 50, and 100 After the first 25, look for language. How do people describe the problem in their own words? Which parts of your message get acknowledged? Which assumptions are clearly wrong? After 50, start removing weak segments. If one type of prospect consistently has no urgency, stop adding more of them just because they match the job title. After 100, write down the patterns: Who consistently understands the problem What evidence predicts relevance Which objections keep appearing Who actually owns the decision What events create urgency Which parts of the process are repetitive enough to automate Only then should you think about scale. What automation should do Automation should repeat qualification logic that already works. It can help you find more people who match th

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/30 13:30:15