SDR vs AE Sales Metrics: What to Measure for Each Role

Why do SDRs and AEs need different metrics?

Each role controls a different variable, and a metric only works when the person measured on it can move it. An SDR controls who enters the funnel and how well qualified they are on arrival. An AE controls whether an opportunity progresses and at what value it closes. Neither controls the other, and a shared scorecard blurs the line where problems originate.

The practical cost of blurring it is a recurring argument. Sales development says the AEs are not working the meetings. Sales says the meetings are junk. Both sides bring anecdotes, neither brings a number that separates the two claims, and the meeting ends with a promise to improve communication.

Role-specific metrics with one shared handoff number end that argument permanently, because the handoff number tells you which side of the line the problem sits on.

What should an SDR be measured on?

Meetings held, opportunities accepted, and the pipeline value those accepted opportunities carry. Meetings booked is a useful diagnostic and a poor target, because a booked meeting nobody attends consumes an AE hour and produces nothing.

The gap between booked and held is itself a signal. A high booked count with a low held count usually means the SDR is booking people who agreed to end a conversation rather than people who wanted the meeting. That pattern shows up before it reaches pipeline, which is what makes it useful.

Activity counts belong in the SDR's diagnostic set, never the scorecard. Dials and emails sent are rep-controlled, so they rise on effort alone. Use them when an SDR is missing targets and you need to know whether the cause is volume or conversion. Connect rate and reply rate carry more signal than raw counts because they need the buyer to participate.

What should an AE be measured on?

Bookings against quota, win rate on qualified opportunities, average deal size, cycle length, and close date accuracy. The first four are standard. The fifth is the one most teams skip, and it is the one that determines whether the forecast is usable.

Close date accuracy measures how often a rep's committed close date matches the actual one. Track it as the share of deals that closed in the period the rep predicted at the start of that period. A rep who wins their number but moves every close date twice makes the forecast unreadable for everyone above them.

The strongest early warning on any deal is a rep changing the close date, and a deal that slips from one quarter to the next closes less often even when it stays in commit. Measuring close date accuracy at the rep level turns that signal into something coachable rather than something you notice in the last week of the quarter.

Self-sourced pipeline belongs on the list for any AE expected to generate part of their own coverage. Report it as a share of total pipeline worked, so the number stays honest for reps in territories with uneven inbound.

Which metric do both roles share?

Opportunity acceptance rate, the share of SDR-sourced meetings an AE converts into a qualified opportunity. Put it on both scorecards and review it in the same meeting with both managers present.

The mechanism works because each side can damage the number and neither can fix it alone. An SDR who books poorly fit accounts drives it down. An AE who disqualifies anything requiring work drives it down as well. When the number falls, the first question is which pattern the underlying deals show, and the deal list answers it in ten minutes.

Set the definition of accepted precisely and write it down. Most disputes trace back to an undefined bar rather than bad faith. Name the criteria, name who applies them, and name the window in which an AE has to accept or reject.

How do you tell whether the problem is upstream or downstream?

Compare the meeting-to-opportunity rate against the opportunity-to-close rate, and read which one moved. The two rates isolate the two halves of the funnel.

A falling acceptance rate with a stable win rate points upstream. Targeting drifted, the list changed, or the qualification bar moved without anyone announcing it. A stable acceptance rate with a falling win rate points downstream at deal execution, competitive pressure, or pricing.

Both falling at once usually means something outside the team changed. A new competitor creating pricing pressure pulls deal size down and win rates with it. A market that has gone uncertain stretches the time from qualified to closed while volume looks unchanged. These show up as a broad decline across reps rather than a pattern concentrated in a few, which is how you tell a market shift from a coaching problem.

How should the two metric sets connect to the forecast?

SDR metrics set next quarter's ceiling and AE metrics shape this quarter's number. Keeping that separation stops the forecast from reacting to activity that has not produced revenue yet.

Work the chain backwards to size the SDR target. Start from the revenue goal, divide by average deal size to get required wins, divide by win rate to get required opportunities, then divide by acceptance rate to get required meetings held. That gives sales development a number with a defensible origin rather than a quota set by last year plus twenty percent.

On the AE side, the metrics feed the current-period call directly. Win rate and cycle length determine which open deals can realistically land, close date accuracy determines how much to trust the rep's own call, and deal size against pipeline value determines the haircut on the total. Those four inputs do more for forecast accuracy than any adjustment applied at the top, and they are the inputs that make sales velocity readable as a single operating number for the team.