How to read the Called Counts List IDs Report

The Called Counts List IDs Report answers a blunt question: how many times have the leads in this list actually been dialed? Where a status report shows where leads sit right now, this one shows the attempt history. It produces a called-count breakdown by status for a list or a group of lists, optionally inside a date range you choose.

What it counts

The core figure is the called count — the number of dial attempts — grouped by Called status. So instead of a single total, you see how many calls landed in each status bucket for the leads in a given Lead list. That distinction matters: a lead that was called eight times and never reached is very different from one called once, even though both might read as a no-answer in a status snapshot.

You can scope the report a few ways:

• A single list, by its list ID.
• A group of lists at once.
• Lists selected by Campaign, so you grab everything under one campaign without naming each list.
• An optional date range, so you can isolate attempts from a single shift or day.

How the breakdown is built

flowchart LR
  A[Pick lists or campaign] --> B[Apply date range]
  B --> C[Collect dial attempts]
  C --> D[Group by status]
  D --> E[Called count per status]

Reading it well

Look for high call counts piling up against unproductive statuses. If a chunk of a list has been dialed many times and still sits in no-answer or busy, that is a sign of over-dialing — you're spending trunk minutes on numbers that aren't going to convert. This is also where you catch a runaway Lead recycling rule that's redialing the same leads far more often than you intended.

The date range is what makes this report practical for day-to-day tuning. Run it across a single shift and you can see how many fresh attempts a recycle rule generated overnight, separate from the months of history sitting on older leads. Run it with no date range and you get the lifetime attempt picture for the list, which is the one to use when you're deciding whether a list is worn out and should be retired.

Selecting lists by campaign saves real time when a campaign feeds from many lists. Instead of naming each list ID, you grab the whole set and let the report split the called counts per list for you. That's the fastest way to spot the one list inside a busy campaign that's quietly soaking up the most dial attempts for the least return.

It also helps you size a fresh data buy. If most of a list's leads have only been called once or twice, there's still room to work it before you spend on new records. If the called counts are high across the board and contacts have dried up, that's your cue to retire the list rather than recycle it again. Reading the count distribution, not just the totals, keeps that decision grounded in what actually happened on the lines instead of a gut feel.

Pair this with the Lists Campaign Statuses report to combine the where-they-sit snapshot with the how-often-dialed history. For where this fits in the full toolkit, start at the reports overview.

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