How are you solving the "noise" problem in intent-based outbound?
Hey fellow makers 👋
I’m currently building a tool in the sales-tech space, and I’m hitting an interesting architectural/positioning dilemma that I’d love your thoughts on.
Getting raw intent data is easier than ever. You can scrape GitHub, monitor social channels, or track G2 reviews to find people talking about specific problems. But talking to sales reps, the real bottleneck is the noise. Handing an SDR a list of raw signals usually wastes their time—half the time it’s a junior dev venting, or a 5-person startup with zero budget.
To solve this, my approach is to focus almost entirely on the qualification gate in the middle. The system intercepts the signal, but automatically checks company headcount, tech stack, and deal size fit before the lead ever hits the CRM.
For the founders, growth marketers, and RevOps folks here:
When you run signal-based outbound for your own startups, how do you handle the filtering?
Do you rely on manual research to qualify these signals, or have you found tools to automate that middle step?
Would love to hear how you structure your own outbound stack, or if you think a strict "qualification-first" approach is the right way to position this!
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