Data-Driven Prospecting
What is Data-Driven Prospecting?
The opposite of data-driven prospecting is rep-driven prospecting: an SDR looks at the territory list, picks names that look promising, and starts dialing. Data-driven prospecting inverts that — the system queries the universe for accounts that match the ICP rubric, ranks them by fit and timing, and serves the rep a prioritized list. The shift is from 'find names' to 'work the right names'. In 2026, data-driven prospecting is increasingly real-time: intent spikes, hiring waves, funding announcements, and tech-stack changes all flow in as signals, and the system surfaces the accounts where now is the right moment. The rep's job collapses to the conversation, where they add value, rather than the list-building, where they don't.
Why it matters
- Higher reply rates — the right account, the right person, the right moment.
- Better SDR economics — reps work the top of the list, not random names.
- Tighter feedback loop — wins refine the ICP, which refines the next list.
Use cases
- ICP-rubric prospecting. Every prospect must clear a defined ICP score before entering the list.
- Signal-triggered prospecting. Accounts surface when they hit a fundable / hiring / intent signal.
- Lookalike prospecting. Accounts that resemble closed-won customers ranked first.
How turgo helps
turgo's prospecting agent works ICP + signal — every account on the SDR list is there because the rubric scored it well and the timing signal fired, not because it happens to start with 'A'.
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