Measuring AI SDR performance well separates teams that scale outbound from teams that burn time and budget. The metrics that matter in 2026: inbox placement rate, open rate, reply rate, positive reply rate, meetings booked per 100 sent, qualified meeting rate, and pipeline generated. This guide explains each, target ranges, and how to use them for actionable decisions.
The 7 AI SDR metrics that matter
| Metric | Definition | Target |
|---|---|---|
| Inbox placement rate | % of sent emails landing in primary inbox | 85%+ |
| Open rate | % of delivered emails opened | 30-50% |
| Reply rate | % of delivered emails replied to | 3-5% |
| Positive reply rate | % of replies expressing interest | 1-3% of sent |
| Meetings/100 sent | Booked meetings per 100 cold emails | 1-3 |
| Qualified meeting rate | % of meetings that are real opportunities | 70%+ |
| Pipeline generated | Total opportunity value from AI-sourced meetings | Track monthly trend |
Troubleshooting by metric
Each metric tells you which part of the funnel is broken:
| Problem | Likely cause | Fix |
|---|---|---|
| Low open rate (under 20%) | Deliverability or subject lines | Check inbox placement; rewrite subjects |
| Good open, low reply (under 1%) | Message quality / personalization | Retrain voice; deepen personalization |
| Good reply, low meeting rate | Weak CTA or wrong ICP | Tighten CTA; refine ICP |
| Meetings booked but no-shows | Qualification too loose | Tighten qualification criteria |
| Meetings happen but no pipeline | Wrong buyer / wrong message | Audit qualified meeting quality; redefine ICP |
Review cadence
- Daily (15 min): approve replies, scan deliverability alerts.
- Weekly (30 min): review open/reply/meeting metrics, identify trends, adjust low performers.
- Monthly (60 min): strategic review — ICP refinement, sequence optimization, scaling decisions, pipeline attribution.
Cost-per-meeting math
The bottom-line metric for AI SDR economics: cost per qualified meeting.
Calculation: monthly tool cost / qualified meetings per month.
Example: Artra at $99/month producing 30 qualified meetings/month = $3.30 per qualified meeting. Compare to: human SDR at $80K/year = $6,667/month, producing maybe 15 qualified meetings = $444 per qualified meeting. The cost ratio is roughly 100x in AI's favor on this single metric.
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Frequently asked questions
What metrics matter for AI SDR performance?
The core AI SDR metrics in 2026 are: (1) inbox placement rate — % of emails landing in primary inbox, target 85%+; (2) open rate — % of delivered emails opened, target 30-50%; (3) reply rate — % of delivered emails replied to, target 3-5%; (4) positive reply rate — % of replies expressing interest, target 1-3% of sent; (5) meetings booked per 100 sent — the bottom-line metric, target 1-3; (6) qualified meeting rate — % of booked meetings that show up and are real opportunities, target 70%+; and (7) pipeline generated — total revenue value of opportunities created.
What is a good reply rate for AI cold email in 2026?
A good reply rate for AI cold email in 2026 is 3-5% baseline, 5-10% for high-signal campaigns with deep personalization, and 1-2% for poorly targeted campaigns. The difference is ICP precision and personalization quality. Below 1% indicates major problems (deliverability, ICP fit, message quality). Above 10% is exceptional and usually reflects a tight ICP with strong signals.
What is a good meeting rate for AI SDR?
A good meeting rate for AI SDR in 2026 is 1-3 meetings booked per 100 emails sent. For high-volume cold outbound, 1-1.5 per 100 is typical baseline; for highly targeted signal-driven campaigns, 2-4 per 100 is achievable. Below 0.5 per 100 indicates significant problems. The qualified meeting rate (meetings that show up and are real opportunities) should be 70%+ — below that suggests the AI is over-promising or qualifying poorly.
How do I attribute pipeline to AI SDR?
Attribute pipeline to AI SDR by: (1) tagging every booked meeting in your CRM with source = AI SDR (Artra syncs this automatically to Salesforce/HubSpot), (2) tracking deal progression for AI-sourced meetings through your sales stages, (3) reporting on pipeline created (sum of opportunity values), pipeline converted (closed won), and ROI (revenue / AI SDR cost). Most modern AI SDRs include CRM sync that makes attribution automatic.
How often should I review AI SDR performance?
Review AI SDR performance daily for the first 30 days (replies + meetings), weekly thereafter for trend monitoring (deliverability, open/reply rates), and monthly for strategic adjustment (ICP refinement, sequence optimization, scaling decisions). Avoid over-rotating on daily metrics — they're noisy. Weekly aggregates and 4-week trends are the most actionable signals.