The SDR KPIs that matter in 2026 form one short tree: conversations per day, meeting rate per conversation, meetings held, and opportunities accepted by an AE. Everything else, dials, emails, talk time, is an input you look at only when one of those four breaks. Here are the nine metrics we track, the benchmark ranges from our analysis of 1,000,000 B2B cold calls in France, and the three numbers you should stop putting on the dashboard.

Start from the output and work backwards

Most SDR dashboards are built from the top of the funnel down: dials, then connects, then meetings. That order rewards activity. We build ours from the bottom up: what does an AE need, and what has to be true upstream for that to happen.

The tree has two layers. Four outcome KPIs tell you whether the SDR is doing the job. Five diagnostic KPIs tell you why an outcome moved. You manage on the first layer and coach on the second.

The four outcome KPIs

1. Conversations per day

A conversation is a connect that gets past the opener with the right person. Not a dial, not a gatekeeper, not a voicemail. Our north-star for one SDR is 20 conversations a day. At the French average connect rate of 11.3%, that is about 180 dials with a single-line dialer, which is why most teams land at 8 to 10 conversations and call it a day.

2. Meeting rate per conversation

Meetings booked divided by conversations. This is the metric that separates skill from volume. In our data, trigger-based openers reach 7-10% and pitch-first openers 2-3%. Same prospect, same product, three times the result.

3. Meetings held rate

Booked meetings that actually happen. A rep who books 15 and holds 9 is worse than one who books 11 and holds 10, and the AE knows it. Below 70% held, look at how the meeting was framed and whether a confirmation touch exists.

4. Meeting-to-opportunity rate

The share of held meetings the AE converts into a qualified opportunity. This is the last KPI the SDR controls, because it reflects who was booked and how honestly. Revenue attributed is nice for a slide, but it depends on the AE, the cycle and the quarter.

The five diagnostic KPIs

5. Connect rate, by slot and by persona

Connect rate is an input, not an outcome. Across 1,000,000 calls the average is 11.3%, with 4pm at 15.8%, 10am at 14% and 8am at 9.8%. Sales and leadership personas pick up above 15%; HR peaks around 1pm, marketing around 4pm. If a rep's connect rate drops, check the list and the calling hours before you check the rep.

6. Attempts per connect

In our experience, most connects happen within the first three attempts. A rep averaging six attempts per contact is burning the list; a rep averaging one is leaving connects on the table.

7. Opener mix

What share of conversations opened on a trigger (a job change, a website visit, a closed-lost note) versus a pitch. 65% of reps open by explaining what they sell. Move that share and the meeting rate follows.

8. Discovery depth

Count the questions that start with "how" in a sample of calls. In our data those questions lift conversion by 190%. Asking "What do you mean?" before answering an objection lifts it by 197%. Two numbers, one coaching session.

9. Signal coverage

The share of calls made to a contact with a live signal in the CRM. Reps use about 20% of the signals already sitting there, and 50% of our own pipeline comes from those signals. This KPI tells you whether the list, not the rep, is the problem.

Three metrics to drop from the dashboard

• Dials per day as a target. It is a lever, not a goal. Set it as a floor for ramping reps, then stop reporting it.
• Emails sent. A sequence tool sends them. Measuring it measures the tool.
• Average call duration on its own. Long calls can be great discovery or a rep who cannot close. Read it next to meeting rate or not at all.

Benchmarks to set targets against

Use these as starting points, then replace them with your own three-month baseline.

• Connect rate: 11.3% average, 11-20% depending on persona and slot (Sonik, 1M calls, France).
• Conversations per day: 20 with parallel dialing, 8-10 without.
• Meeting rate per conversation: 2-3% pitch-first, 7-10% trigger-based.
• Meetings held: above 70% in our experience, above 80% for teams that confirm the day before.
• Meeting-to-opportunity: in our experience, half is healthy; below a third means the qualification bar is wrong.

A European note: French connect rates run below the Anglo-Saxon benchmarks you will read elsewhere. Set your targets on local data or you will be coaching reps for a problem they do not have.

How Sonik approaches SDR KPIs

Sonik's dashboard is built around the same tree. Conversations per day is the headline number for each rep, because parallel dialing is what moves it: reps get about 5x more conversations, and that is the point of the product.

Connect rate is shown by slot and by persona rather than as one average, so a manager can see a Tuesday 4pm block outperform a Monday 9am block for the same list. Opener type and discovery questions come from the AI call summaries, which makes the diagnostic layer visible without listening to every call.

Our mission is 2x more meetings through 5x more conversations with the right contacts. The KPIs above are how we check whether we are delivering it.

Conclusion

Four outcome KPIs to manage, five diagnostics to coach, three vanity metrics to delete. The order matters: a dashboard that starts with dials produces reps who dial. This week, pull one rep's last 50 conversations and compute the meeting rate per conversation. If it is under 5%, the fix is the opener, not the volume.