Glossary
What is call analytics?
Definition
Call analytics is the collection and analysis of data about phone calls to understand performance, customer behavior, and marketing effectiveness. It covers both operational metrics—like volume, wait times, and abandonment—and content-level insights drawn from recordings and transcripts. Businesses use call analytics to improve service, staffing, and campaign decisions.
01What call analytics measures
Operational analytics track metrics such as call volume, average speed of answer, hold time, average handle time, and abandonment rate. Marketing-focused call tracking attributes calls to the ad, keyword, or campaign that generated them, often using dedicated tracking numbers. Conversation analytics go deeper, using transcription and language processing to surface topics, sentiment, and keywords.
02How it works
Call data is captured by the phone system and often enriched with caller ID, tracking numbers, and recordings. Speech-to-text turns audio into transcripts that software can analyze for words, questions, and outcomes. Results are presented in dashboards and reports that highlight trends and flag issues for follow-up.
03Why it matters
Call analytics turns everyday phone activity into insight for decisions about staffing, training, and marketing spend. It helps businesses see which sources drive calls, where callers get stuck, and how well their team resolves issues. Applied well, it improves both the caller experience and the return on advertising that generates calls.
Frequently asked questions
What is the difference between call tracking and call analytics?
Call tracking attributes calls to their marketing source, while call analytics is the broader practice of analyzing call data, including operational metrics and conversation content.
What data does call analytics use?
It draws on call metadata like volume and wait times, caller ID and tracking numbers, and increasingly transcripts produced from recordings.
See also
Related terms
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