How to measure AI SDR ROI honestly

AI SDR vendors lead with reply rates. Reply rate is easy to inflate and tells you almost nothing about whether an agent earns its keep. If you are running agents alongside human reps, you need a framework that ties activity to pipeline and cost. Here is a practical one.

Start with the right denominator

ROI is return over cost. For an AI SDR, cost is not just the subscription. It includes the inboxes, the data, and the human time spent supervising it. Get the full cost per agent before you celebrate a reply rate.

Measure the metrics that predict pipeline

• Meeting rate, not reply rate. A reply that never books is noise.
• Cost per meeting, calculated on fully loaded cost.
• Pipeline and closed-won credited to the agent through real attribution, not self-reported touches.
• Conversion from meeting to opportunity, to catch agents that book unqualified meetings.

Compare agents and humans on equal footing

The only fair comparison puts agents and reps on the same scoreboard, credited by the same attribution model. An agent that books meetings at a quarter of the cost of a human rep is a clear win, but only if those meetings convert at a comparable rate. Track both.

Find the prompts that win

Once you can attribute pipeline to agents, look one level deeper at the prompts and triggers behind their best sequences. The real return on AI SDRs comes from copying the winning angle across your fleet, not from any single agent.

Measured this way, the AI versus human debate stops being a matter of opinion. You will know, for your own program, which motion produces pipeline at the lowest cost, and you can scale it with confidence.