The problem
Measuring earned media on broadcast is guesswork without the words. Share-of-voice, message pull-through, and sentiment all depend on what was actually said, but that's locked inside audio nobody has time to transcribe accurately.
How Whipscribe helps
Whipscribe converts broadcast and podcast coverage into accurate, timestamped transcripts, so your measurement — share of voice, key-message penetration, spokesperson quotes, sentiment — is built on the real words rather than a summary or a hunch.
Measure on the real words
Base share-of-voice and message analysis on verbatim transcripts, not rough notes or listening samples.
Pull spokesperson quotes
Speaker labels let you attribute and extract exactly what each spokesperson said, with timecodes for the evidence.
Feed your analysis tools
Export clean text for sentiment, message-tracking, and reporting pipelines.
Defensible & auditable
Timestamps and speaker labels make every claim in a report traceable back to the moment it was said.
Questions
Why transcripts for measurement?
Because the metric is the message — accurate transcripts make share-of-voice, message pull-through, and sentiment defensible rather than estimated.
Can we process coverage in bulk?
Yes — pay-as-you-go, with files up to 10 hours each, so a whole campaign's coverage can be transcribed and measured.
Is client coverage kept confidential?
Yes — self-hosted Whisper, no third-party AI, no training on your uploads, retention you control.
Note: Whipscribe is a transcription tool that makes recordings searchable; it complements your recording and retention systems, it does not replace them, and nothing here is legal advice. Confirm your current obligations with your licence conditions and the applicable code.