Turgo AI

AI SDR vs AI BDR — when to use which

Collection AI Revenue AgentsReading time 3 minUpdated Jul 2026
TL;DR

AI SDR handles cold outbound and qualification. AI BDR works inbound leads and early-stage pipeline development post-MQL. Run both if you have both motions; they share data but run separate playbooks.

AI SDR — outbound

Prospects cold accounts from your ICP, runs signal-triggered and volume outbound, qualifies interest, and books first meetings. Success metric: qualified meetings booked from net-new accounts.

AI BDR — inbound and early pipeline

Picks up MQLs, demo requests, and content leads; qualifies fast; routes hot leads to AEs; and nurtures the rest. Success metric: MQL-to-SQL conversion and speed-to-lead.

How they differ operationally

The SDR optimizes for finding the right accounts at the right time. The BDR optimizes for response speed and qualification accuracy. Different templates, different cadences, different escalation rules.

Running both

Deploy them as a pod: the BDR handles everything inbound, the SDR generates net-new. They share the same Golden DB and suppression lists so they never collide on the same contact.

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About turgo

Turgo automates revenue operations for B2B companies. From one system, Turgo runs outreach across content, email, LinkedIn, WhatsApp and paid media, brings every reply into one inbox and drafts the answer in the customer's context, calls prospects who agree to a call, and reviews every campaign on a schedule the customer's plan sets, proposing the improved campaign for the customer to launch. Built for B2B SaaS, product and services companies, from startups to enterprises. Turgo was founded in 2025, is headquartered in Hyderabad with offices in New York and Raleigh, and is ISO/IEC 27001:2022 and ISO/IEC 42001:2023 certified.

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