Montana
Conversion rates
Most dialers tell you how many calls you made. The number that matters is how many of them turned into something, and where the rest fell over.
The funnel
Four numbers, measured at every level: per workspace, per campaign, per rep, per hour of the day.
| Stage | What it means | What moves it |
|---|---|---|
| Dials | Attempts made. | Seat hours and queue depth. |
| Connect rate | Dials where a human answered and stayed on. | List quality, caller ID reputation, time of day. |
| Conversation rate | Connects that reached the right person and got past the opener. | The opener, and whether you are calling the right job title. |
| Conversion rate | Conversations that produced an agreed next step. | Objection handling and asking for the close. |
Keeping connect and conversation apart is the useful bit. A floor with a poor connect rate has a list or a number problem. A floor that connects well and converts badly has a script problem. They look identical on a dashboard that only counts calls.
What Montana knows about your rates
Because every reviewed call carries its objections, its reached role and its agreed next step, the drop between stages can be explained rather than just measured. Ask Montana why conversion fell this week and it answers from the calls: a new objection appearing, a campaign pulling in the wrong job titles, a rep who stopped asking for the meeting.
Time of day
Connect rates vary enormously by hour and most floors are guessing. The per-hour breakdown shows you your own curve rather than somebody's blog post, and it is usually the cheapest improvement available: the same reps, the same list, different hours.
We do not publish cross-customer benchmarks. Your industry, your list and your offer move these numbers so much that a platform average would be actively misleading. Your own trend line over three weeks is worth more than anyone's benchmark.