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Tool // Telecom queueing / Proof that can’t be faked

SDR capacity calculator: how many reps do you need to reply within 5 minutes?

The number of sales reps you need depends on how many leads arrive per hour, how long each takes to handle and how quickly you want to respond. Erlang C, a telecom queueing formula, finds the smallest team that answers your chosen share of leads within the target time.

Reps needed
7
Workload (erlangs)
5.0
Service level achieved
95.6%
Leads in system (Little's Law)
5.0
What this means

Leads in system counts leads being handled on average, using L = λW with W equal to handling time.

Reps added above minimumService level (%)
Service level

How does the lead response capacity work?

Borrowed from Telecom queueing: Erlang C and Little's Law (L = λW)

A=λ×AHTSL=1−Pw e−(N−A) t/AHTA = \lambda \times \text{AHT} \qquad SL = 1 - P_w\, e^{-(N-A)\,t/\text{AHT}}

Call centers use Erlang C to staff phone lines so callers wait briefly. Inbound leads behave like calls: they arrive at random, occupy a rep for a while and wait if everyone is busy.

Little's Law adds a check: the average number of leads in the system equals the arrival rate times the time each one spends there.

Worked example

A US B2B team gets 60 leads an hour and each takes 5 minutes to handle, so the load is 5 erlangs. To answer 80% of leads within 5 minutes the team needs 7 reps, which gives a 96% service level.

How should I read my result?

Agents at or below the load

Queues grow without limit. Add staff or automate first replies.

One to two above the load

Waits are short on average but spike at busy times. Check the service level.

Service level above 90%

Responses are fast. Check that idle time is acceptable.

Embed this calculator

Add this calculator to your own page. The snippet includes a link back to the source.

Questions about lead response capacity

Why does response time matter?

Buyers often talk to whoever replies first, so faster replies raise the chance of a meeting.

Can automation help?

Yes. Instant automated acknowledgments reduce perceived wait, though a human reply still closes.

Do leads arrive evenly?

No. Use peak-hour volume, not the daily average.

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