I work in analytics across marketing and communications, and most of the questions I’m asked don’t have clean answers. Nowhere is this more obvious than in PR.
Comms data doesn’t come neatly packaged:
•Signals are partial
•Outcomes are indirect
•Causality is messy
Anyone who tells you PR measurement is purely objective is either oversimplifying—or selling something.
That’s why I think analytics in PR has more in common with the creative process than we’re comfortable admitting.
Like creative, good analysis starts with a brief—not an answer.
•What are we trying to influence?
•Who needs to believe what?
•What decisions will this actually inform?
Without that framing, rigor just produces numbers, not insight.
And like creative, analysis is shaped more by judgment than anything else. Two analysts can look at the same earned media data and arrive at very different
conclusions—both technically correct, but only one actually useful. Choices about
framing, emphasis, and context matter.
That’s not a flaw in PR measurement.
It’s the reality of working in reputation, not transactions.
Most importantly, real PR analytics is iterative. A strong insight should create tension,
not closure. It should spark debate, challenge assumptions, and lead to the next
question. If your report feels “final,” it’s probably not doing its job.
Rigor earns credibility in the room.
But recall is what drives influence.
CIG Analytics 