Global coverage is a sales claim and a data problem. The filter lists nine markets; the underlying set has enough rows for two.
Charts built on the other seven are not wrong, they are unstable, and unstable looks like insight when the line moves.
Count per market before you chart
Put the row count next to the market name in the filter itself, not in an appendix. Anyone reading the chart then knows whether the line is a trend or a Tuesday.
A market with four hundred rows across a year has a weekly average of eight. Nothing about eight posts is a trend.
Coverage is not the same as representation
A market can have volume and still be unrepresentative, if the collection only reaches urban, connected, young users. That gap is worth stating, because a buyer will build a story on top of it.
Language and market are different axes
A market contains several languages and a language spans several markets. A dashboard filtered by country and read as language, or the reverse, produces mismatched conclusions.
Store both, and let the filter say which one it is applying.
State the floor
Decide the volume below which a market is reported as insufficient rather than charted. A visible "not enough data" is a feature; an invisible thin line is a trap.
Zovda assembles these collections through Datuva, where market and language are separate fields with their own counts. The social media data collection shows the structure.
Tell us which markets actually matter. We reply within one business day.
