Share of voice arrived from advertising, where it meant your slice of the category's media spend. That version needs a budget, an agency, and a subscription to something expensive.
The content version needs none of those. It's computable from public data in an afternoon, and it answers a question your own analytics structurally cannot: are we gaining or losing ground?
Your views going up is meaningless if the whole category doubled. Share of voice is the number that catches that.
What it is
Your portion of the total measurable attention across a named set of accounts, in a named window.
Your views in the window
───────────────────────────────── = your share of voice
Total views across the whole setIf you and four competitors collectively earned a million views last month and you earned two hundred thousand of them, your share is 20%.
That's the whole calculation. The difficulty is entirely in the three choices feeding it.
The three choices that decide the number
Change any one and the number moves. That isn't a flaw. It's why you have to fix them and leave them fixed.
Who's in the set. The single biggest lever, and the one most often chosen by accident. Same rules as any cohort: same platform, same rough scale, same category, and a written reason for every entry.
What you're totalling. Views is the usual choice and the most comparable. Engagements measure something different (depth rather than reach) and produce a different, also-valid number. Pick one and say which.
How long the window is. Thirty days is a reasonable default. Too short and one upload swings it wildly; too long and it stops responding to anything.
The dominant-outlier problem
The most common way share of voice misleads.
If one account in your set vastly outproduces everyone else, it holds most of the share by definition, and everyone else's number becomes a rounding error. You'll read "we have 4%" as a crisis when the honest reading is "we're competing for second place in a set containing a giant".
Two ways to handle it, both legitimate as long as you say which you're doing:
Report it twice: once with the giant, once without. The second number is the one that tells you about your actual competitive position.
Report the trend regardless. If your 4% is climbing while the others fall, that's a real gain, and the level's ugliness doesn't change it.
What you must not do is quietly drop the giant to make the chart look better. That's the reported-not-measured failure: a number produced by a choice that isn't disclosed.
Computing it
Four steps, spreadsheet-sized.
- Fix the set. Five to eight accounts, each justified in a sentence.
- Collect views per account for the window. Public data, no permission needed. This is the only laborious part, and it's what a watchlist automates.
- Sum, and divide. Yours over the total.
- Record it, dated, with the set written next to it.
Step four is what makes month two possible. A share-of-voice figure without its set recorded alongside is uninterpretable three months later, because nobody will remember who was in it.
What it can't tell you
Be clear about the ceiling, because share of voice is easy to over-read.
It isn't share of market. Attention and revenue are different things, and the relationship between them varies enormously by category. A competitor can win attention and lose commercially.
It doesn't measure quality. It's a volume-weighted number. An account posting four times as often will usually hold more share regardless of whether the work is better. Read it next to engagement per view, which measures the opposite thing.
It's [tier 1 evidence](/learn/the-evidence-ladder). Public data only. You're seeing the outside of everyone's channel, including whether the platform happened to push a piece hard.
It can be gamed by volume. Yours as much as theirs. If your share rises because you tripled output and your engagement rate halved, you've bought share at the cost of the thing that makes share worth having.
Reading a change honestly
When your share moves, there are four possible causes, and only one of them is "we got better".
- You published more or less.
- They published more or less.
- One post (yours or theirs) broke out.
- The underlying reception of the work changed.
Check the first three before concluding the fourth. A single outlier in a 30-day window can swing a small set by several points and mean nothing about the trend.
The cleanest read: look at share of voice and your median views and your engagement per view together. Share rising while both of the others hold or rise is a genuine gain. Share rising while engagement per view falls is volume, and it usually reverses.
Where Acumin fits
Share of voice is computed live across the competitors on your watchlist, so the set stays fixed and the trend accumulates without anyone maintaining a spreadsheet. Where one account dominates the set, the read is reframed around that. "You have 4%" is a technically true and practically useless sentence when one competitor holds 88%.
That reframing is deliberate, and it's the same doctrine as everywhere else in the product: the number is real, and the honest interpretation of it is part of the output rather than left to you.
How to use this tomorrow
Take five competitors, total their views for the last thirty days alongside yours, and divide.
Then write the set and the date next to the number. That second part is the whole point: a single share-of-voice figure is trivia. The second one, a month from now, is information.
Related: Building a competitor watchlist is how you get the monthly number without the monthly spreadsheet. Measured vs reported covers why an undisclosed change to the set is a lie told with real numbers.