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Four hours every Monday morning: me, three browser tabs, a spreadsheet, and a queue of accounts I was trying to decide were worth calling this week.
The actual problem is that volume-based outbound punishes you for having good data instincts. You know funding announcements and hiring spikes are better triggers than "opened an email," so you start manually chasing those signals, and now you're a researcher who occasionally does GTM. We rebuilt the prioritization layer around three inputs: series A/B funding in the last 45 days, role-specific hiring velocity (SDR/AE headcount expanding means they're building a sales motion), and G2 review timestamps spiking (which usually means a renewal push or a competitive eval). Rilo automated the signal collection across our account list so I stopped being the human cron job. That got research time per account from 20 minutes to under 5. The honest outcome: same outbound volume, but the accounts we're touching are actually in-motion, and reply rates are up roughly 30% over the last quarter compared to the same period prior.