Worked example
A snack brand checks who shows up on its own name.
When a shopper types the brand’s own name, which brands hold the paid slots above and around its products, and in how many cities?
A real brand on a real read, not named. This is not a customer story: nobody here bought anything, and nothing that happened after the read is claimed.
The brand
A snack brand, second among the brands on snack searches on one app. It comes up in the first 10 results on 100% of the keywords relevant to it there.
4
other brands held a paid slot on searches for its name on one app, each in 5 or more cities. The widest was in 448 cities.
3
cities where the brand itself held a paid slot on its own name, on that app.
The screen
Where this is read in Shelf.
What a team could do with it
Choices the figures open.
None of these is a result. They are what the figures make possible to decide.
- Decide whether to hold a paid slot on its own name in the cities where another brand held one and it held none, starting with the largest of them.
- Open each of those brands’ ad maps: whether its slots sat on this name alone, or across the whole kind of keyword, which points to placement by category rather than choice.
- Read the list again after the next read, to see which brands are still there.
How it was read
A brand is named on a keyword only when it held a paid slot there in five or more cities. Paid slots rotate, so these are counts over many searches, never one page. How we read the apps
More worked examples: A beverage brand that already leads looks for room to grow. · A personal care brand finds its own products missing from its own stores. · All of them
The same screens, with your names.
Every store read every day. Pick a category and see who leads it, what sells out, who ranks in its searches and who pays for its ads. Free.
No card and no seller login needed.