The dialing funnel, by day, agent and list

A report is only as good as its definitions, so these ship in the open. Dials count attempts placed in the window. Connected counts calls with a connected status or an answering-machine result of human. Contact rate divides connected by dials. Appointment-set rate divides appointments by connected, because the appointment is the outcome that pays.

The same definitions apply across the day chart, the agent table and the list table, so a number means the same thing everywhere you meet it. Voicemail, interested and DNC dispositions are identifiable from outcome labels, which is how outcome mix can be reviewed alongside volume.

Everything is computed from your call records. Nothing is sampled, modeled or borrowed from a vendor benchmark, and nothing in the report claims your numbers should match anyone else's.

Per-day dials and connects show the shape of the operation: ramp, lunch dip, end-of-day fade. The agent table adds dials per hour, an honest pace metric on shared definitions, useful for spotting both a struggling operator and an unusual day worth a second look.

The list table is where money decisions live. Two lists with equal dial counts and different connect rates are two different purchases, and the funnel shows that split over any window you choose. Pair it with the per-lead skip reasons from the session records to see whether a weak list is a data problem or a timing problem.

For context only: production use measured a median of about 85 dials per active hour and a 17.8 percent person-connect rate over 90 days. Those are measurements, not promises, and the report exists so you can establish your own.