How many more conversations more lines actually buy you, and how many people pick up to find nobody there. Both numbers come from your inputs, not from an industry average we made up.
Nothing here is a benchmark. Every figure below is computed from the inputs you set, so the only way it flatters a dialer is if your own connect rate does.
| Lines | Attempts / hr | Conversations / hr | Share of hour talking | Connects with nobody free |
|---|---|---|---|---|
| 1 | 86 | 4.3 | 28.6% | -0.0% |
| 2 | 133 | 6.7 | 44.4% | 2.5% |
| 3 | 164 | 8.2 | 54.5% | 4.9% |
| 4 | 185 | 9.2 | 61.5% | 7.3% |
| 6 | 212 | 10.6 | 70.6% | 11.7% |
| 8 | 229 | 11.4 | 76.2% | 15.9% |
| 10 | 240 | 12.0 | 80.0% | 19.7% |
Because a rep can only be in one conversation at a time. An hour is split between dialing and talking, and every conversation you win takes minutes out of the dialing half. Past a point the extra lines are launching calls into an hour that has no room left to answer them.
Two people on the same round pick up, and the rep can take one of them. The other reaches a dialer with nobody on it. The figure on this page is exact rather than a rule of thumb: for a round of n lines at connect rate p it is n times p, minus the probability that at least one of the n connects.
Your own, measured from your own list. We do not publish a benchmark here because we do not have the call volume to support one honestly. Vendors that do run large dialing platforms publish theirs, and their numbers are worth more than a figure we would have to guess at.
Four. That is deliberately at the lower end of what this category offers, and the table above is the argument for why: the abandoned-connect share climbs faster than the throughput does.