One brand published 61 times in seven days. Engagement chart: green. Same week, from outside: 351,247 customers reached, 383,107 missed.
We ran the number in three consumer markets. All three miss most of the demand — with the assets they already have. Your Data Warehouse holds the numerator and none of the denominator.
61 posts. And still more people missed than reached.
Monday, 9:00, marketing meeting. Slide one: 61 pieces of output last week. Engagement up. Chart green. Everyone nods, coffee, next slide.
Here is the same week seen from outside the building.
Those 61 pieces reached 351,247 customers and missed 383,107. Fifty-two percent of the live, addressable demand in that market went unserved — in a week the team reported as a good one.
We ran the same calculation on three brands in three different consumer markets.
It’s a Match Rate: of the themes the market was demanding in the last seven days, how many did your own output actually meet.
| Own posts | Market themes | Matched | Achievable | |
|---|---|---|---|---|
| Brand A | 61 | 16 | 54% | 78% |
| Brand B | 63 | 17 | 24% | 67% |
| Brand C | 69 | 24 | 44% | 71% |
“Achievable” is not a fantasy number. It is what the same amount of output, re-pointed, would have matched. No extra budget in any of the three.
Where the misses sit
Brand A: two themes at 0% coverage. And its biggest single gap? The price theme — 20% coverage, from promo posts. Its own verdict, word for word:
“the biggest revenue lever is not additional discount communication.”
Brand B: 9 themes at zero coverage. The single largest theme in its market by share — 0% own coverage. Nobody was idle; 63 posts went out. They went somewhere else.
Brand C: 11 of 24 themes with no usable response. Five at exactly zero.
Now the part for the Head of Data
This number cannot be built from your first-party data. Not “is hard to build”. Cannot.
Your Data Warehouse holds the numerator perfectly: what you published, what it did, who clicked, what they bought.
It holds none of the denominator: what the market wanted that week. The themes you never touched leave no trace in your own systems. Zero coverage produces zero rows.
So the output metric survives. Volume looks like performance, because volume is the only half you can see.
60% of a decision runs on your data. The other 40% is what we sell.
Monday, 9:00 — the slide that changes
The Monday marketing meeting where output volume is reported as performance. For BI: the backlog grooming where “can we join this to revenue?” gets asked.
The CMO owns the number; BI owns the join key next to revenue.
Your warehouse and the Power BI pack you already open. One table, one join.
Replace “how much did we publish” with “how much of live demand did we meet”.
No new tool, no new process: an input into the one you already have.
Book a demo.
We'll compute one week's Match Rate on your own output.
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