A million app rows can still miss the app you need
Catalogue size, usable metadata and fresh observations are three different measures of coverage.
A strange little utility. A stubborn user problem. A business hiding in plain sight. Pull up a chair.
Catalogue size, usable metadata and fresh observations are three different measures of coverage.
A chart position needs a store, country, category, chart type and observation time to mean anything useful.
Stable identifiers keep research attached to the right product when names, publishers and listings change.
A timestamp should explain what happened, not merely make a record look current.
Saving fifty apps is easy. Knowing what change would matter is the useful part.
A useful research CSV should survive being separated from the dashboard that explained it.
Bounded queries, caching and a stopping rule can keep exploratory research from becoming an accidental subscription business for your supplier.
A blank observation should not quietly become zero, false or “no activity.”
A practical benchmark reveals more than asking a vendor whether its data is accurate.
Explain where the data comes from, what it misses and how a reader should interpret it.