If you only celebrate dials and emails sent, you will eventually celebrate a busy team that barely fills the calendar. The best SDR orgs stack a few outcome metrics on top of activity so every touch has a line of sight to pipeline. Below are ten named KPIs worth tracking in 2026—what they measure, why they matter, how to calculate them, and rough ranges so you are not guessing.

For the full framework—definitions, dashboards, and how metrics differ for inbound vs outbound—start with our SDR metrics guide. For quick answers in Q&A form, see SDR metrics FAQ.

1. Qualified meetings booked — Your north-star output

Qualified meetings booked counts discovery or demo calls an SDR sets that meet your agreed definition of “qualified”—usually fit, intent, and authority aligned with your ICP. It is the cleanest bridge between grunt work and revenue conversations.

Why it matters: Activity metrics can hide bad targeting. Meetings booked forces the team to care about who gets on the calendar, not just how loud the outreach was.

How to calculate: Sum meetings that hit qualification criteria in the period (per rep or team). Exclude no-shows unless your process counts them separately.

Benchmarks: Ranges swing wildly by motion and ACV. Many outbound-heavy SMB/mid-market programs aim for roughly 8–15 qualified meetings per rep per month; enterprise motions are often lower in count but higher in deal size. Calibrate against your AE capacity and historical conversion—if AEs are drowning, booking more is not winning.

2. Pipeline sourced ($) — The CFO-friendly scoreboard

Pipeline sourced is the dollar value of opportunities created from SDR-sourced meetings (or SDR-created opps, if that is your model), usually within a defined window after the handoff.

Why it matters: Headcount and tooling debates run on revenue language. Tying SDR work to pipeline dollars makes tradeoffs obvious: another rep vs another point solution vs better data.

How to calculate: Sum opportunity amount (or weighted pipeline) for opps tagged with SDR source or meeting type, created after SDR touches. Align with finance on stage rules so everyone trusts the number.

Benchmarks: Useful as a trend and ratio, not a universal absolute. Compare month over month and against quota capacity. If pipeline sourced is flat while activity is up, you are likely filling the funnel with the wrong accounts.

3. Connect rate (dials) — Is the phone list real?

Connect rate is the percentage of outbound dials where a rep reaches the intended person (or at least a live human gatekeeper), not voicemail or a dead line.

Why it matters: Low connect rate usually means bad numbers, wrong titles, or list decay—not “lack of hustle.” Fixing data and targeting lifts every other dial-based KPI.

How to calculate: Connects ÷ total dials × 100. Define “connect” in your dialer so reps log consistently.

Benchmarks: Cold outbound often lands in single digits to low teens for connect rate depending on industry and region. If you are far below peers with similar motion, audit contact accuracy and mobile reachability before pushing for more dials. Teams that enrich leads across multiple data sources—e.g. waterfall-style contact enrichment—often see fewer wasted dials because reps are calling numbers that actually belong to the prospect.

4. Email reply rate — Proof the message landed

Email reply rate is the share of delivered outbound emails that get any human reply (out-of-office can be excluded by policy).

Why it matters: Opens are noisy; replies mean someone read enough to react. It is the fastest feedback loop on offer, subject line, and ICP.

How to calculate: Replies ÷ emails delivered × 100. Use your sequencing tool’s delivered denominator, not “sent,” to avoid skew from bounces.

Benchmarks: Multichannel cold outreach often sits around roughly 3–10% reply rates depending on list quality and warmth. If replies are high but meetings are low, your CTA or qualification is broken—not your top-of-email game. Tighten sequences using patterns from sales cadence and cold email subject lines.

5. Positive reply rate — Separating “no” from “maybe”

Positive reply rate measures replies that show interest or curiosity (booked meeting, question, “send more info”) versus objections or unsubscribe-style responses.

Why it matters: Raw reply rate can hide a wall of angry opt-outs. Positive replies tell you whether messaging attracts the right accounts.

How to calculate: Positive replies ÷ all non-OOTO replies × 100—or ÷ delivered emails if you want a stricter funnel view. Tag replies in your CRM or sequencing tool so scoring is consistent.

Benchmarks: There is no universal public number; benchmark against your own historical baseline. Aim for week-over-week lifts when you test personas or hooks. Pair with prospecting fundamentals in sales prospecting techniques so tests reflect strategy, not random copy tweaks.

6. Meeting show rate — Protecting AE time

Meeting show rate is the percentage of booked meetings that actually occur (or are rescheduled in-policy).

Why it matters: A booked meeting that ghosts is negative pipeline: you burned AE calendar and opportunity cost. Show rate is where weak qualification and weak logistics show up.

How to calculate: Completed meetings ÷ booked meetings × 100 for a cohort (e.g. meetings booked last week).

Benchmarks: Many teams treat 70–85% as healthy for outbound-set intros; below ~60% deserves a process review—reminders, agenda clarity, and stricter pre-call confirmation. For tactical follow-through, see follow up on cold email and your call script hygiene.

7. Meeting-to-opportunity conversion — The AE feedback loop

Meeting-to-opportunity conversion tracks how many SDR-set meetings turn into created opportunities (per your CRM definition).

Why it matters: If this metric collapses, the problem is often ICP drift or misaligned qualification—not “bad closing.” SDRs and AEs need a shared language on fit.

How to calculate: Opportunities created from SDR meetings ÷ held meetings × 100.

Benchmarks: Mature orgs often see a wide spread by segment; use segment-specific targets instead of one global percentage. If conversion is high but win rate later dies, you may be booking friendly conversations, not real pain.

8. Average touches to meeting — Patience vs bloat

Average touches to meeting is the mean number of meaningful touchpoints (email, call, social, etc.) before a meeting books for won opportunities in the SDR path.

Why it matters: Too few touches means you quit before the reply window opens; too many means sequence bloat or weak messaging. This metric tells you if your cadence length matches reality.

How to calculate: For closed-won SDR-sourced meetings, average the touch count logged in your engagement platform (define what counts as a touch).

Benchmarks: Many outbound programs see meaningful volume in the ~4–12 touch range before a meeting, depending on channel mix. Spikes above your norm often mean wrong persona or crowded inboxes—not “lack of steps.”

9. Speed to lead (inbound & hybrid) — The minutes that matter

Speed to lead is the time from inbound hand-raise (form, chat, trial) to first meaningful SDR outreach.

Why it matters: For inbound or hybrid reps, latency is a silent killer—fast follow-up compounds conversion more than another nurture email ever will.

How to calculate: Median or 75th percentile minutes from lead creation timestamp to first call/email that meets SLA (not auto-enroll).

Benchmarks: Sub-five to fifteen minutes is a common elite target for high-intent inbound; enterprise may allow longer if routing is complex. If speed is slow, fix routing and alerts before blaming reps.

10. Opportunity creation rate (volume) — Funnel oxygen

Opportunity creation rate counts how many qualified opportunities the SDR channel produces per week or month, independent of deal size.

Why it matters: Pipeline dollars can swing with a few big deals. Opportunity count shows whether you are consistently feeding the machine—and pairs cleanly with sales pipeline metrics downstream.

How to calculate: Count new opps with SDR attribution in the period. Align with marketing on what is “SDR” vs “demand gen” sourced to avoid double counting.

Benchmarks: Set targets from coverage math: required opps per quarter ÷ working weeks ÷ reps. Revisit when win rate or ASP moves. If you are building or scaling a team, outsourced sales development can change this curve—benchmark the partner the same way you would FTEs.

How to use this list without drowning in dashboards

Pick one outcome metric (usually qualified meetings or pipeline sourced), one conversion metric (reply rate or meeting-to-opp), and one quality metric (show rate or positive reply rate). Review weekly; move the others to monthly unless something breaks.

Activity still matters—but only as a diagnostic. When outcomes slip, use activity and connect data to see if the problem is volume, targeting, or message. For deeper playbooks and edge cases, keep the SDR metrics guide and the FAQ bookmarked—they unpack inbound vs outbound, tooling, and how leaders should set targets without demoralizing the floor.