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phone_missed Queue metric and business scenario

How many calls does your queue lose before service?

Calculate the effective abandonment rate, compare it with the target, and test how much of the excess could become contact, sale, and margin. The operational metric and the financial projection appear separately.

call Real queue metrictune Editable scenariovisibility Open result
Current queue, target, and recovery

Enter the call report

Use the same period and the same abandonment definition in all fields.

phone_in_talk
calls
calls
calls
E.g., hang-ups before the threshold adopted by the company.
%
%
%
%
R$
%
infoCalls above target do not automatically equal lost sales. The projection applies only the business percentages entered.

Notice: the abandonment rate is an operational metric. Revenue, sales, and margin are scenarios built with the assumptions entered and do not represent proven loss or guarantee of recovery.

analytics Metric before projection

Do not mix queue hang-up with lost sale

First, the tool calculates effective abandonment. Then it considers only the excess over target and applies business intent, recontact, and conversion.

1

Standardize abandonment

Document queue, callbacks, transfers, and the short-abandonment threshold used in the report.

2

Compare with a target

The difference over target indicates the operational volume to investigate, without assigning financial value yet.

3

Apply the real funnel

Only the business percentage goes through recontact, conversion, ticket, and margin.

Questions about abandonment

What is the rate formula?expand_more
(Abandoned calls − defined short abandonments) ÷ calls that entered the queue × 100.
What source can I use to check the definition?expand_more
A Amazon Connect documentation is a public reference. Your PBX or Contact Center report should prevail, as long as the rule is consistent.
Does a high rate always mean lack of staff?expand_more
No. It can involve scaling, routing, IVR, time of day, peaks, AHT, unavailability, failures, or wait expectation. The cause must be investigated by queue and interval.
Does the calculation replace analysis by time of day?expand_more
No. The monthly rate can hide peaks. To fix the queue, analyze arrivals, abandonments, and service in 15- or 30-minute blocks.

Continue the diagnosis

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