Worked example

A beverage brand that already leads looks for room to grow.

The brand is first among beverage brands in search. Which beverage keywords are still open to it?

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 beverage brand, first among the brands on beverage searches on one app. It holds 5.8% of the first-10 slots across them.

No. 1

among the brands on beverage searches, by share of the unpaid first 10.

20

plain beverage keywords were open on the app: their first 10 among the least crowded third of the app’s keywords.

25

passed the keyword list’s “worth a try” rule for this brand: open or contested, with moderate or strong signs of demand, and the brand not usually in the first 3.

The first five keywords “worth a try” for the brand, most promising first
KeywordHow crowdedSigns of demandBrands with paid slotsSearched for, not availableThe brand’s usual rank
ginger ale Contested Strong 12 8% 8
filter coffee Open Strong 7 5% not in the first 10
iced tea Contested Strong 7 7% not in the first 10
orange juice Contested Strong 7 2% 6
apple juice Open Strong 4 1% 14

The screen

Where this is read in Shelf.

The league: every brand’s share of the first 10 results on a kind of search, the brand in green and its rival in red
The screen this example is read from, shown for another brand. Brand names are hidden here.

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.

  1. Start with the open keywords, where the first 10 is spread across many brands and fewer brands held paid slots.
  2. Where the app listed products as searched for and not available, check the brand’s own stock in those cities before anything else.
  3. Watch the keywords where it already comes up in the first 10 but not usually in the first 3: they are the nearest.

How it was read

One app. How crowded compares a keyword with the other keywords on the same app. No app publishes how often a word is searched, so no volume is shown. How we read the apps

More worked examples: A snack brand checks who shows up on its own name. · A personal care brand finds its own products missing from its own stores. · All of them

The same screens, with your names.

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